From 97bbbaadefc2913cc6697c2ca88a18f469709037 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Mon, 7 Dec 2020 18:29:35 +0530 Subject: [PATCH 001/267] Updated CV metadata --- metadata/ComputerVision__1__metadata.json | 4 ++-- platform/dockeree/aif-uninstall.sh | 2 ++ 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index 89cd9475..e27802c5 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -14,8 +14,8 @@ "projectId": "[project-id]", "retrainable": false, "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "tenantName": "UiPath", "imagePath": "registry.replicated.com/aif-core/computervision:1" } \ No newline at end of file diff --git a/platform/dockeree/aif-uninstall.sh b/platform/dockeree/aif-uninstall.sh index 96265d3d..55fd75c9 100644 --- a/platform/dockeree/aif-uninstall.sh +++ b/platform/dockeree/aif-uninstall.sh @@ -6,6 +6,8 @@ curl -L https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 | echo "Uninstalling AIFabric Services" helm delete oob-scheduler-crd +helm delete docker-image-deletion-scheduler-crd + helm delete oob-installer-crd helm -n aifabric delete cronjob From c2a96be356b7af372ff6c791723a50b14565fe58 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Mon, 7 Dec 2020 18:33:33 +0530 Subject: [PATCH 002/267] Minor update --- platform/dockeree/aif-uninstall.sh | 2 -- 1 file changed, 2 deletions(-) diff --git a/platform/dockeree/aif-uninstall.sh b/platform/dockeree/aif-uninstall.sh index 55fd75c9..96265d3d 100644 --- a/platform/dockeree/aif-uninstall.sh +++ b/platform/dockeree/aif-uninstall.sh @@ -6,8 +6,6 @@ curl -L https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 | echo "Uninstalling AIFabric Services" helm delete oob-scheduler-crd -helm delete docker-image-deletion-scheduler-crd - helm delete oob-installer-crd helm -n aifabric delete cronjob From 7e538f201266a0202c66884789033d349f09d9d9 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Wed, 9 Dec 2020 20:54:08 +0530 Subject: [PATCH 003/267] add minAIFVersion --- metadata/AustralianInvoices__1__metadata.json | 1 + metadata/AustralianInvoices__2__metadata.json | 1 + metadata/AustralianInvoices__3__metadata.json | 1 + metadata/ComputerVision__1__metadata.json | 1 + metadata/DocumentUnderstanding__1__metadata.json | 1 + metadata/DocumentUnderstanding__2__metadata.json | 1 + metadata/DocumentUnderstanding__3__metadata.json | 1 + metadata/DocumentUnderstanding__4__metadata.json | 1 + metadata/EnglishTextClassification__1__metadata.json | 1 + metadata/FormExtractor__1__metadata.json | 1 + metadata/HandwritingRecognition__1__metadata.json | 1 + metadata/IndianInvoices__1__metadata.json | 1 + metadata/IndianInvoices__2__metadata.json | 1 + metadata/IndianInvoices__3__metadata.json | 1 + metadata/IntelligentFormExtractor__1__metadata.json | 1 + metadata/IntelligentKeywordClassifier__1__metadata.json | 1 + metadata/Invoices__1__metadata.json | 1 + metadata/Invoices__2__metadata.json | 1 + metadata/Invoices__3__metadata.json | 1 + metadata/Invoices__4__metadata.json | 1 + metadata/JapaneseInvoices__1__metadata.json | 1 + metadata/PurchaseOrders__1__metadata.json | 1 + metadata/PurchaseOrders__2__metadata.json | 1 + metadata/PurchaseOrders__3__metadata.json | 1 + metadata/QuestionAnswering__1__metadata.json | 1 + metadata/Receipts__1__metadata.json | 1 + metadata/Receipts__2__metadata.json | 1 + metadata/Receipts__3__metadata.json | 1 + metadata/Receipts__4__metadata.json | 1 + metadata/SentimentAnalysis__1__metadata.json | 1 + metadata/TPOTAutoMLClassification__1__metadata.json | 1 + metadata/TextSummarization__1__metadata.json | 1 + metadata/UiPathDocumentOCR__1__metadata.json | 1 + metadata/UtilityBills__1__metadata.json | 1 + metadata/UtilityBills__2__metadata.json | 1 + metadata/UtilityBills__3__metadata.json | 1 + 36 files changed, 36 insertions(+) diff --git a/metadata/AustralianInvoices__1__metadata.json b/metadata/AustralianInvoices__1__metadata.json index 61b06cc8..5fdb1967 100644 --- a/metadata/AustralianInvoices__1__metadata.json +++ b/metadata/AustralianInvoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:1" } diff --git a/metadata/AustralianInvoices__2__metadata.json b/metadata/AustralianInvoices__2__metadata.json index fca4117d..c177693f 100644 --- a/metadata/AustralianInvoices__2__metadata.json +++ b/metadata/AustralianInvoices__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:2" } diff --git a/metadata/AustralianInvoices__3__metadata.json b/metadata/AustralianInvoices__3__metadata.json index 02617853..6843b9e1 100644 --- a/metadata/AustralianInvoices__3__metadata.json +++ b/metadata/AustralianInvoices__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:3" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index 89cd9475..a9856758 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/computervision:1" } \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__1__metadata.json b/metadata/DocumentUnderstanding__1__metadata.json index 8139f780..1db6c2e2 100644 --- a/metadata/DocumentUnderstanding__1__metadata.json +++ b/metadata/DocumentUnderstanding__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:1" } diff --git a/metadata/DocumentUnderstanding__2__metadata.json b/metadata/DocumentUnderstanding__2__metadata.json index 9766b3bd..82c9fbd5 100644 --- a/metadata/DocumentUnderstanding__2__metadata.json +++ b/metadata/DocumentUnderstanding__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:2" } diff --git a/metadata/DocumentUnderstanding__3__metadata.json b/metadata/DocumentUnderstanding__3__metadata.json index 0afeba87..581c39d5 100644 --- a/metadata/DocumentUnderstanding__3__metadata.json +++ b/metadata/DocumentUnderstanding__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:3" } diff --git a/metadata/DocumentUnderstanding__4__metadata.json b/metadata/DocumentUnderstanding__4__metadata.json index bc53b5c0..7e816857 100644 --- a/metadata/DocumentUnderstanding__4__metadata.json +++ b/metadata/DocumentUnderstanding__4__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:4" } diff --git a/metadata/EnglishTextClassification__1__metadata.json b/metadata/EnglishTextClassification__1__metadata.json index aa342d3e..a9488a09 100644 --- a/metadata/EnglishTextClassification__1__metadata.json +++ b/metadata/EnglishTextClassification__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" } diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index 888627fa..f8491d73 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/formextractor:1" } diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json index 316ac9cb..31b67656 100644 --- a/metadata/HandwritingRecognition__1__metadata.json +++ b/metadata/HandwritingRecognition__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:1" } diff --git a/metadata/IndianInvoices__1__metadata.json b/metadata/IndianInvoices__1__metadata.json index d416d18c..55256c81 100644 --- a/metadata/IndianInvoices__1__metadata.json +++ b/metadata/IndianInvoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:1" } diff --git a/metadata/IndianInvoices__2__metadata.json b/metadata/IndianInvoices__2__metadata.json index 39165072..4d72a20f 100644 --- a/metadata/IndianInvoices__2__metadata.json +++ b/metadata/IndianInvoices__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:2" } diff --git a/metadata/IndianInvoices__3__metadata.json b/metadata/IndianInvoices__3__metadata.json index c81ed4e6..16732b01 100644 --- a/metadata/IndianInvoices__3__metadata.json +++ b/metadata/IndianInvoices__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:3" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index b1c728c0..759f5091 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/intelligentformextractor:1" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index c2f18671..6961be84 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/intelligentkeywordclassifier:1" } diff --git a/metadata/Invoices__1__metadata.json b/metadata/Invoices__1__metadata.json index 2ae45a6c..05a0e8ad 100644 --- a/metadata/Invoices__1__metadata.json +++ b/metadata/Invoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:1" } diff --git a/metadata/Invoices__2__metadata.json b/metadata/Invoices__2__metadata.json index 16c671e9..5f2dd782 100644 --- a/metadata/Invoices__2__metadata.json +++ b/metadata/Invoices__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:2" } diff --git a/metadata/Invoices__3__metadata.json b/metadata/Invoices__3__metadata.json index 79853dad..4f19d90e 100644 --- a/metadata/Invoices__3__metadata.json +++ b/metadata/Invoices__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:3" } diff --git a/metadata/Invoices__4__metadata.json b/metadata/Invoices__4__metadata.json index b1b5103d..b73b2873 100644 --- a/metadata/Invoices__4__metadata.json +++ b/metadata/Invoices__4__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:4" } diff --git a/metadata/JapaneseInvoices__1__metadata.json b/metadata/JapaneseInvoices__1__metadata.json index 9c2a76e3..d8d510ee 100644 --- a/metadata/JapaneseInvoices__1__metadata.json +++ b/metadata/JapaneseInvoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:1" } diff --git a/metadata/PurchaseOrders__1__metadata.json b/metadata/PurchaseOrders__1__metadata.json index c318662b..09432bc4 100644 --- a/metadata/PurchaseOrders__1__metadata.json +++ b/metadata/PurchaseOrders__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:1" } diff --git a/metadata/PurchaseOrders__2__metadata.json b/metadata/PurchaseOrders__2__metadata.json index 98a0db3c..101ff5f0 100644 --- a/metadata/PurchaseOrders__2__metadata.json +++ b/metadata/PurchaseOrders__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:2" } diff --git a/metadata/PurchaseOrders__3__metadata.json b/metadata/PurchaseOrders__3__metadata.json index 61fa5b70..7b5e054a 100644 --- a/metadata/PurchaseOrders__3__metadata.json +++ b/metadata/PurchaseOrders__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:3" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json index 5b482686..b5f069dd 100644 --- a/metadata/QuestionAnswering__1__metadata.json +++ b/metadata/QuestionAnswering__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/questionanswering:1" } diff --git a/metadata/Receipts__1__metadata.json b/metadata/Receipts__1__metadata.json index 7a71fdaa..9b698802 100644 --- a/metadata/Receipts__1__metadata.json +++ b/metadata/Receipts__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:1" } diff --git a/metadata/Receipts__2__metadata.json b/metadata/Receipts__2__metadata.json index 10257e8a..82c34813 100644 --- a/metadata/Receipts__2__metadata.json +++ b/metadata/Receipts__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:2" } diff --git a/metadata/Receipts__3__metadata.json b/metadata/Receipts__3__metadata.json index e9ae610a..b433a487 100644 --- a/metadata/Receipts__3__metadata.json +++ b/metadata/Receipts__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:3" } diff --git a/metadata/Receipts__4__metadata.json b/metadata/Receipts__4__metadata.json index 07434f6e..e63542d8 100644 --- a/metadata/Receipts__4__metadata.json +++ b/metadata/Receipts__4__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:4" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json index 29de3a3a..6ae5e072 100644 --- a/metadata/SentimentAnalysis__1__metadata.json +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/sentimentanalysis:1" } diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index 9be292c4..f9a36399 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Tabular Data", "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index 8e18ed08..2821ec0b 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/textsummarization:1" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__1__metadata.json b/metadata/UiPathDocumentOCR__1__metadata.json index 811ceba1..02691c30 100644 --- a/metadata/UiPathDocumentOCR__1__metadata.json +++ b/metadata/UiPathDocumentOCR__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:1" } \ No newline at end of file diff --git a/metadata/UtilityBills__1__metadata.json b/metadata/UtilityBills__1__metadata.json index 2a4934bb..cd863f94 100644 --- a/metadata/UtilityBills__1__metadata.json +++ b/metadata/UtilityBills__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:1" } diff --git a/metadata/UtilityBills__2__metadata.json b/metadata/UtilityBills__2__metadata.json index 861c74fa..87629893 100644 --- a/metadata/UtilityBills__2__metadata.json +++ b/metadata/UtilityBills__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:2" } diff --git a/metadata/UtilityBills__3__metadata.json b/metadata/UtilityBills__3__metadata.json index b0442dbf..a849a470 100644 --- a/metadata/UtilityBills__3__metadata.json +++ b/metadata/UtilityBills__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:3" } From 835bd47500aa49b898312ae674aeb9cf343f8bec Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 10 Dec 2020 19:45:19 +0530 Subject: [PATCH 004/267] change to 20.7.1 --- metadata/AustralianInvoices__1__metadata.json | 2 +- metadata/AustralianInvoices__2__metadata.json | 2 +- metadata/AustralianInvoices__3__metadata.json | 2 +- metadata/ComputerVision__1__metadata.json | 42 +++++++++--------- .../DocumentUnderstanding__1__metadata.json | 2 +- .../DocumentUnderstanding__2__metadata.json | 2 +- .../DocumentUnderstanding__3__metadata.json | 2 +- .../DocumentUnderstanding__4__metadata.json | 2 +- ...nglishTextClassification__1__metadata.json | 44 +++++++++---------- metadata/FormExtractor__1__metadata.json | 2 +- .../HandwritingRecognition__1__metadata.json | 2 +- metadata/IndianInvoices__1__metadata.json | 2 +- metadata/IndianInvoices__2__metadata.json | 2 +- metadata/IndianInvoices__3__metadata.json | 2 +- ...IntelligentFormExtractor__1__metadata.json | 2 +- ...lligentKeywordClassifier__1__metadata.json | 2 +- metadata/Invoices__1__metadata.json | 2 +- metadata/Invoices__2__metadata.json | 2 +- metadata/Invoices__3__metadata.json | 2 +- metadata/Invoices__4__metadata.json | 2 +- metadata/JapaneseInvoices__1__metadata.json | 2 +- metadata/PurchaseOrders__1__metadata.json | 2 +- metadata/PurchaseOrders__2__metadata.json | 2 +- metadata/PurchaseOrders__3__metadata.json | 2 +- metadata/QuestionAnswering__1__metadata.json | 2 +- metadata/Receipts__1__metadata.json | 2 +- metadata/Receipts__2__metadata.json | 2 +- metadata/Receipts__3__metadata.json | 2 +- metadata/Receipts__4__metadata.json | 2 +- metadata/SentimentAnalysis__1__metadata.json | 2 +- ...TPOTAutoMLClassification__1__metadata.json | 42 +++++++++--------- metadata/TextSummarization__1__metadata.json | 42 +++++++++--------- metadata/UiPathDocumentOCR__1__metadata.json | 2 +- metadata/UtilityBills__1__metadata.json | 2 +- metadata/UtilityBills__2__metadata.json | 2 +- metadata/UtilityBills__3__metadata.json | 2 +- 36 files changed, 117 insertions(+), 117 deletions(-) diff --git a/metadata/AustralianInvoices__1__metadata.json b/metadata/AustralianInvoices__1__metadata.json index 5fdb1967..7d19975b 100644 --- a/metadata/AustralianInvoices__1__metadata.json +++ b/metadata/AustralianInvoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:1" } diff --git a/metadata/AustralianInvoices__2__metadata.json b/metadata/AustralianInvoices__2__metadata.json index c177693f..94cec2c2 100644 --- a/metadata/AustralianInvoices__2__metadata.json +++ b/metadata/AustralianInvoices__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:2" } diff --git a/metadata/AustralianInvoices__3__metadata.json b/metadata/AustralianInvoices__3__metadata.json index 6843b9e1..ca6f3163 100644 --- a/metadata/AustralianInvoices__3__metadata.json +++ b/metadata/AustralianInvoices__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:3" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index a9856758..7d8d55ee 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "Release v2020.10", - "cpu": 0, - "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", - "displayName": "ComputerVision", - "gpu": 0, - "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_CV", - "name": "ComputerVision", - "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/computervision:1" +{ + "changeLog": "Release v2020.10", + "cpu": 0, + "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 0, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/computervision:1" } \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__1__metadata.json b/metadata/DocumentUnderstanding__1__metadata.json index 1db6c2e2..0e56f423 100644 --- a/metadata/DocumentUnderstanding__1__metadata.json +++ b/metadata/DocumentUnderstanding__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:1" } diff --git a/metadata/DocumentUnderstanding__2__metadata.json b/metadata/DocumentUnderstanding__2__metadata.json index 82c9fbd5..a59c23e7 100644 --- a/metadata/DocumentUnderstanding__2__metadata.json +++ b/metadata/DocumentUnderstanding__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:2" } diff --git a/metadata/DocumentUnderstanding__3__metadata.json b/metadata/DocumentUnderstanding__3__metadata.json index 581c39d5..dea5f0d9 100644 --- a/metadata/DocumentUnderstanding__3__metadata.json +++ b/metadata/DocumentUnderstanding__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:3" } diff --git a/metadata/DocumentUnderstanding__4__metadata.json b/metadata/DocumentUnderstanding__4__metadata.json index 7e816857..d77bc5b5 100644 --- a/metadata/DocumentUnderstanding__4__metadata.json +++ b/metadata/DocumentUnderstanding__4__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:4" } diff --git a/metadata/EnglishTextClassification__1__metadata.json b/metadata/EnglishTextClassification__1__metadata.json index a9488a09..911d3606 100644 --- a/metadata/EnglishTextClassification__1__metadata.json +++ b/metadata/EnglishTextClassification__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", - "displayName": "EnglishTextClassification", - "gpu": 0, - "inputDescription": "Text to be classified as String: 'I loved this movie.'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "EnglishTextClassification", - "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", - "processorType": "GPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" -} +{ + "changeLog": "", + "cpu": 0, + "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", + "displayName": "EnglishTextClassification", + "gpu": 0, + "inputDescription": "Text to be classified as String: 'I loved this movie.'", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "EnglishTextClassification", + "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", + "processorType": "GPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" +} diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index f8491d73..2c2ffc5d 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/formextractor:1" } diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json index 31b67656..167b5b65 100644 --- a/metadata/HandwritingRecognition__1__metadata.json +++ b/metadata/HandwritingRecognition__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:1" } diff --git a/metadata/IndianInvoices__1__metadata.json b/metadata/IndianInvoices__1__metadata.json index 55256c81..066f0f41 100644 --- a/metadata/IndianInvoices__1__metadata.json +++ b/metadata/IndianInvoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:1" } diff --git a/metadata/IndianInvoices__2__metadata.json b/metadata/IndianInvoices__2__metadata.json index 4d72a20f..f734f921 100644 --- a/metadata/IndianInvoices__2__metadata.json +++ b/metadata/IndianInvoices__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:2" } diff --git a/metadata/IndianInvoices__3__metadata.json b/metadata/IndianInvoices__3__metadata.json index 16732b01..df81a2d1 100644 --- a/metadata/IndianInvoices__3__metadata.json +++ b/metadata/IndianInvoices__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:3" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index 759f5091..be0c39e9 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/intelligentformextractor:1" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index 6961be84..5de5000c 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/intelligentkeywordclassifier:1" } diff --git a/metadata/Invoices__1__metadata.json b/metadata/Invoices__1__metadata.json index 05a0e8ad..2eac98b1 100644 --- a/metadata/Invoices__1__metadata.json +++ b/metadata/Invoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:1" } diff --git a/metadata/Invoices__2__metadata.json b/metadata/Invoices__2__metadata.json index 5f2dd782..abe10e9d 100644 --- a/metadata/Invoices__2__metadata.json +++ b/metadata/Invoices__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:2" } diff --git a/metadata/Invoices__3__metadata.json b/metadata/Invoices__3__metadata.json index 4f19d90e..257b01aa 100644 --- a/metadata/Invoices__3__metadata.json +++ b/metadata/Invoices__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:3" } diff --git a/metadata/Invoices__4__metadata.json b/metadata/Invoices__4__metadata.json index b73b2873..be0c488c 100644 --- a/metadata/Invoices__4__metadata.json +++ b/metadata/Invoices__4__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:4" } diff --git a/metadata/JapaneseInvoices__1__metadata.json b/metadata/JapaneseInvoices__1__metadata.json index d8d510ee..936aad28 100644 --- a/metadata/JapaneseInvoices__1__metadata.json +++ b/metadata/JapaneseInvoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:1" } diff --git a/metadata/PurchaseOrders__1__metadata.json b/metadata/PurchaseOrders__1__metadata.json index 09432bc4..0f750a04 100644 --- a/metadata/PurchaseOrders__1__metadata.json +++ b/metadata/PurchaseOrders__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:1" } diff --git a/metadata/PurchaseOrders__2__metadata.json b/metadata/PurchaseOrders__2__metadata.json index 101ff5f0..b4c65980 100644 --- a/metadata/PurchaseOrders__2__metadata.json +++ b/metadata/PurchaseOrders__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:2" } diff --git a/metadata/PurchaseOrders__3__metadata.json b/metadata/PurchaseOrders__3__metadata.json index 7b5e054a..9d283484 100644 --- a/metadata/PurchaseOrders__3__metadata.json +++ b/metadata/PurchaseOrders__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:3" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json index b5f069dd..61fe7dfe 100644 --- a/metadata/QuestionAnswering__1__metadata.json +++ b/metadata/QuestionAnswering__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/questionanswering:1" } diff --git a/metadata/Receipts__1__metadata.json b/metadata/Receipts__1__metadata.json index 9b698802..ee34d956 100644 --- a/metadata/Receipts__1__metadata.json +++ b/metadata/Receipts__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:1" } diff --git a/metadata/Receipts__2__metadata.json b/metadata/Receipts__2__metadata.json index 82c34813..3af3d6e4 100644 --- a/metadata/Receipts__2__metadata.json +++ b/metadata/Receipts__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:2" } diff --git a/metadata/Receipts__3__metadata.json b/metadata/Receipts__3__metadata.json index b433a487..36ec0ed2 100644 --- a/metadata/Receipts__3__metadata.json +++ b/metadata/Receipts__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:3" } diff --git a/metadata/Receipts__4__metadata.json b/metadata/Receipts__4__metadata.json index e63542d8..e4cf370e 100644 --- a/metadata/Receipts__4__metadata.json +++ b/metadata/Receipts__4__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:4" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json index 6ae5e072..f1dc3982 100644 --- a/metadata/SentimentAnalysis__1__metadata.json +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/sentimentanalysis:1" } diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index f9a36399..ae1281e7 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "", - "cpu": 0, - "description":"Please train this ML Package before deploying it as it will not return anything otherwise.   \n\nTPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users.   \n\nThe model is based on a publication entitled \"Scaling tree-based automated machine learning to biomedical big data with a feature set selector.\" from Trang T. Le, Weixuan Fu and Jason H. Moore (2020) and \"Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science.\" from Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, and Jason H. Moore. ", - "displayName": "TPOTAutoMLClassification", - "gpu": 0, - "inputDescription":"Features used by the model to make predictions. For example: { \n\n“Feature1”: 12, \n\n“Feature2”: 222, \n\n. \n\n. \n\n“FeatureN”: 110 \n\n} ", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "TPOTAutoMLClassification", - "outputDescription":"JSON with predicted class, associated confidence on that class prediction (between 0-1) and label name. Label names are returned only if the label encoding was performed by the pipeline, within AI Fabric. Some scikit-learn models do not support confidence scores. If the output of the optimization pipeline is a scikit-learn model which does not support confidence scores the output will only contain the predicted class. Ex: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n  \"labels\": “yes” \n\n} \n\nOr if label encoding was done outside of the model: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n}   ", "processorType": "CPU", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "Tabular Data", - "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" +{ + "changeLog": "", + "cpu": 0, + "description":"Please train this ML Package before deploying it as it will not return anything otherwise.   \n\nTPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users.   \n\nThe model is based on a publication entitled \"Scaling tree-based automated machine learning to biomedical big data with a feature set selector.\" from Trang T. Le, Weixuan Fu and Jason H. Moore (2020) and \"Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science.\" from Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, and Jason H. Moore. ", + "displayName": "TPOTAutoMLClassification", + "gpu": 0, + "inputDescription":"Features used by the model to make predictions. For example: { \n\n“Feature1”: 12, \n\n“Feature2”: 222, \n\n. \n\n. \n\n“FeatureN”: 110 \n\n} ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "TPOTAutoMLClassification", + "outputDescription":"JSON with predicted class, associated confidence on that class prediction (between 0-1) and label name. Label names are returned only if the label encoding was performed by the pipeline, within AI Fabric. Some scikit-learn models do not support confidence scores. If the output of the optimization pipeline is a scikit-learn model which does not support confidence scores the output will only contain the predicted class. Ex: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n  \"labels\": “yes” \n\n} \n\nOr if label encoding was done outside of the model: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n}   ", "processorType": "CPU", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "Tabular Data", + "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index 2821ec0b..92640fcf 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is a abstractive text summarization model open sourced by Facebook AI Research. It is a sequence-to-sequence model based on the paper `BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension` by Lewis, et al.", - "displayName": "TextSummarization", - "gpu": 0, - "inputDescription": "Text to be summarized as a String. Please note this model can be slow for long inputs.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "TextSummarization", - "outputDescription": "JSON with summarized text. The resulting output will have about 20-30% the length of the input", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "Language Comprehension", - "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/textsummarization:1" +{ + "changeLog": "", + "cpu": 0, + "description": "This is a abstractive text summarization model open sourced by Facebook AI Research. It is a sequence-to-sequence model based on the paper `BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension` by Lewis, et al.", + "displayName": "TextSummarization", + "gpu": 0, + "inputDescription": "Text to be summarized as a String. Please note this model can be slow for long inputs.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "TextSummarization", + "outputDescription": "JSON with summarized text. The resulting output will have about 20-30% the length of the input", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "Language Comprehension", + "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/textsummarization:1" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__1__metadata.json b/metadata/UiPathDocumentOCR__1__metadata.json index 02691c30..f66fc4c3 100644 --- a/metadata/UiPathDocumentOCR__1__metadata.json +++ b/metadata/UiPathDocumentOCR__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:1" } \ No newline at end of file diff --git a/metadata/UtilityBills__1__metadata.json b/metadata/UtilityBills__1__metadata.json index cd863f94..e09deb5d 100644 --- a/metadata/UtilityBills__1__metadata.json +++ b/metadata/UtilityBills__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:1" } diff --git a/metadata/UtilityBills__2__metadata.json b/metadata/UtilityBills__2__metadata.json index 87629893..6900cef5 100644 --- a/metadata/UtilityBills__2__metadata.json +++ b/metadata/UtilityBills__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:2" } diff --git a/metadata/UtilityBills__3__metadata.json b/metadata/UtilityBills__3__metadata.json index a849a470..3bda36ee 100644 --- a/metadata/UtilityBills__3__metadata.json +++ b/metadata/UtilityBills__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:3" } From c826b3bc5155535a31a69019f8ec8bd569d71bf8 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Mon, 11 Jan 2021 11:22:16 +0530 Subject: [PATCH 005/267] Added Import and export functionality --- platform/onebox/backup_and_restore/export.sh | 302 +++++++++++ platform/onebox/backup_and_restore/import.sh | 521 +++++++++++++++++++ 2 files changed, 823 insertions(+) create mode 100644 platform/onebox/backup_and_restore/export.sh create mode 100644 platform/onebox/backup_and_restore/import.sh diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh new file mode 100644 index 00000000..35182ce7 --- /dev/null +++ b/platform/onebox/backup_and_restore/export.sh @@ -0,0 +1,302 @@ +#!/bin/bash + +: ' +This scipt will download ML package from target environment expect cloned Packages. User format +for script is described as +# $1 - ML package export json file path + +[ Structure of ML Package import file] + - hostOrFQDN: Public end point from where backend service can be accessible + - projectName: Project Name to which ML package will be imported + - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name + - mlPackageVersion: Version number which will be downloaded. It should be in format like 3.2 or 3.1 etc + - accessToken: Access token to authorize server calls +[Script Version -> 20.10.1.2] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Starting exporting of ML Package: $2 for version: $3 under project $1 $default" + +readonly PAGE_SIZE=10000 +readonly ML_PACKAGE_EXPORT_INPUT_FILE=$1 + +# Validate API response +# $1 - Api response code +# $2 - Expected response code +# $3 - Success Message +# $4 - Error message +function validate_response_from_api() { +if [ $1 = $2 ]; +then + echo "$(date) $3" +elif [ "$1" = "DEFAULT" ]; +then + echo "$red $(date) Please validate access token or check internet. If fine check curl status code ... Exiting" + exit 1 +else + echo "$4 $(date)" + exit 1 +fi +} + +# Download ML package from blob storage using generated signed url +# $1 - Signed Url +# $2 - ML Package name to be saved +function download_ml_package_using_signedUrl() { +local signed_url=$1 +local ml_package=$2 + +echo "$yellow $(date) Downloading ML package ... $default" +curl --progress-bar -L -k -o $ml_package $signed_url + +if [ $? -ne 0 ]; +then + echo "$red $(date) Failed to download ML package" + remove_directory + exit 1 +fi +} + +# Get signed for ML package located at blob storage +# $1 - Signing Method Type +# $2 - Encoded URl +function get_signed_url() { +local signing_method=$1 +local encoded_url=$2 +generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$generated_signed_url" ]; +then + resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Signed Url generated successfully for blob path: $blob_path, signing method: $1, encoded url: $2" "$red Failed to generate signed url for blob path $1, signing method $2 ... Exiting !!!" +} + +# Generate ML package blob path +# $1 - ML package Id +# $2 - ML package file name with extention +function generate_ml_package_blobPath() { +local account_id=$(echo "$ml_package_version" | jq -r 'select(.accountId != null) | .accountId') +local tenant_id=$(echo "$ml_package_version" | jq -r 'select(.tenantId != null) | .tenantId') +local project_id=$(echo "$ml_package_version" | jq -r 'select(.projectId != null) | .projectId') +local ml_package_version_id=$(echo "$ml_package_version" | jq -r 'select(.id != null) | .id') + +blob_path=$account_id/$tenant_id/$project_id/$1/$ml_package_version_id/$2 +} + + +# Fetch List of ML packages version given by ML package id +# $1 - ML Package id +function fetch_ml_package_versions_by_ml_package_id() { +local ml_package_id=$1 +local project_id=$2 +readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$mlpackage_versions_of_ml_package" ]; +then + resp_code=$(echo "$mlpackage_versions_of_ml_package" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $ML_PACKAGE_NAME" "$red Failed to fetch ML package versions for ML package with id $ml_package_id ... Exiting" +} + +# Fetch list of all ML packages +# S1 - Project Id under which ML packages is present +function fetch_ml_packages() { +local project_id=$1 +ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&project_id='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_packages" ]; +then + resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red 1 Failed to fetch ML packages ... Exiting" +} + +# Find all projects +function fetch_projects() { +projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$projects" ]; +then + resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" +} + +# Download ML package +function download_ml_package() { + +# Fetch Projects +fetch_projects + +# Fetch project by name +local project=$(echo "$projects" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") + +if [ ! -z "$project" ]; +then + echo "$(date) Project by name $PROJECT_NAME fetched successfully" +else + echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" + exit 1 +fi + +local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') + +if [ -z "$project_id" ]; +then + echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" + exit 1 +fi + +# Fetch list of all ML packages from target environment +fetch_ml_packages $project_id + +# Fetch ML Package by name from list of Packages +local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") + +if [ ! -z "$ml_package" ]; +then + echo "$(date) ML package by name $ML_PACKAGE_NAME fetched successfully" +else + echo "$red $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, Please check ML Package Name ... Exiting" + exit 1 +fi + +# Extract ML package Id +ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') + +if [ -z "$ml_package_id" ]; +then + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + exit 1 +fi + +# Extract ML package major and minor version from input +local minor_ml_package_version=${ML_PACKAGE_VERSION##*.} +local major_ml_package_version=${ML_PACKAGE_VERSION%.*} + +# Fetch list of ML Packages versions by ML Package Id +fetch_ml_package_versions_by_ml_package_id $ml_package_id $project_id + +# Fetch ML package version fron list of versions +ml_package_version=$(echo "$mlpackage_versions_of_ml_package" | jq '.data.dataList[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') + +if [ ! -z "$ml_package_version" ]; +then + echo "$(date) ML package verison $ML_PACKAGE_VERSION fetched successfully" +else + echo "$red $(date) Failed to fetch ML Package version $ML_PACKAGE_VERSION for ML package $ML_PACKAGE_NAME in status [UNDEPLOYED, DEPLOYED, DEPLOYING] ... Exiting" + exit 1 +fi + +# Extract content uri +local ml_package_version_content_uri=$(echo "$ml_package_version" | jq 'select(.contentUri != null) | .contentUri') + +if [ -z "$ml_package_version_content_uri" ]; +then +echo "$red $(date) We can only download versions and trained versions, not cloned version, please verify ML package version ... Exiting !!!" +exit 1 +fi + +# Extract zip file name +zip_path="${ml_package_version_content_uri##*/}" +ml_package_zip_file_name=${zip_path%.*}.zip + +metadata_file_name=${zip_path%.*}_v${ML_PACKAGE_VERSION}_metadata + +# Generate ML package blob path +generate_ml_package_blobPath $ml_package_id $ml_package_zip_file_name + +# Get Signed url +get_signed_url GET false + + +signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') + +if [ -z "$signed_url" ]; +then + echo "$red $(date) Failed to extract signed url ... Exiting" + exit 1 +fi + +# create new directory +create_directory + +echo $ml_package_version > $metadata_file_name.json +echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata json file with name $metadata_file_name in [$(pwd)] directory $default" + +# Download ML package using genearted signed url +download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name +} + +# Validate input provided by end user +function validate_input() { + +readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') +readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') +readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') +readonly ML_PACKAGE_VERSION=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageVersion != null) | .mlPackageVersion') +readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') + +if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z $ACCESS_TOKEN ]]; +then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + exit 1 +fi + +echo "$(date) Successfully validated user input" +} + +# Validate dependecny module +# $1 - Name of the dependecny module +# $2 - Command to validate module +function validate_dependency() { +list=$($2) +if [ -z "$list" ]; + then + echo "$red $(date) Please install ******** $1 *********** ... Exiting" + exit 1 +fi +} + +# Validate required modules exits in target setup +function validate_setup() { +validate_dependency curl "curl --version" +validate_dependency jq "jq --version" +echo "$(date) Successfully validated required dependecies" +} + +# Create directory +function create_directory() { +dir_name=$(date +%Y-%m-%d:%H:%M:%S:%3N) +mkdir -p $dir_name +cd $dir_name +} + +# Remove directory +function remove_directory() { +rm -rf $dir_name +} + +# Validate Setup +validate_setup + +# Validate Input +validate_input + +# Download requested ML package +download_ml_package + +echo "$green $(date) Successfully downloaded $ML_PACKAGE_NAME V$ML_PACKAGE_VERSION in [$(pwd)] directory" \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh new file mode 100644 index 00000000..26eb3248 --- /dev/null +++ b/platform/onebox/backup_and_restore/import.sh @@ -0,0 +1,521 @@ +#!/bin/bash + +: ' +This scipt will upload ML package to target environment. User format for script is described as +# $1 - ML package import json file path + +[ Structure of ML Package import file] + - hostOrFQDN: Public end point from where backend service can be accessible + - projectName: Project Name to which ML package will be imported + - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name + - mlPackageMajorVersionForPrivatePackage: Used to upload new minor version like 3.X. Used for private packages only. Default value should be zero + - accessToken: Access token to authorize server calls + - mlPackageZipFilePath: ML package zip file path that will be uploaded to target environment + - mlPackageMetadataFilePath: ML package import metadata json file path +[Script Version -> 20.10.1.2] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +# Will be used in public package upload +source_ml_package_owned_by_accountId="" +source_ml_package_owned_by_tenantId="" +source_ml_package_owned_by_projectId="" +source_ml_package_id="" +source_ml_package_version_id="" + +readonly ML_PACKAGE_IMPORT_INPUT_FILE=$1 +readonly PAGE_SIZE=10000 + +echo "$green $(date) Starting importing of ML Package: $2 under project: $1 $default" + +# Validate API response +# $1 - Api response code +# $2 - Expected response code +# $3 - Success Message +# $4 - Error message +function validate_response_from_api() { +if [ $1 = $2 ]; +then + echo "$(date) $3" +elif [ "$1" = "DEFAULT" ]; +then + echo "$red $(date) Please validate access token or internet. If fine check curl status code ... Exiting" + exit 1 +else + echo "$(date) $4" + exit 1 +fi +} + +# Create public ML package +function create_public_ml_package_metadata() { +echo "$(date) Creating public ML package metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local create_public_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$create_public_ml_package" ]; +then + resp_code=$(echo "$create_public_ml_package" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package ... Exiting !!!" + +} + +# Create public ML package version +# $1 - ML package id +function create_public_ml_package_version_metadata() { +local ml_package_id=$1 +echo "$(date) Creating public ML package version metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local create_public_ml_package_version=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' \ + -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$create_public_ml_package_version" ]; +then + resp_code=$(echo "$create_public_ml_package_version" | jq -r 'select(.respCode != null) | .respCode') + local major_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.version != null) | .version') + local minor_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.trainingVersion != null) | .trainingVersion') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" + +} + +# Create ML package version metadata +# $1 - ML Package Id +function create_ml_package_version_metadata() { +echo "$(date) Creating new ML package version for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local ml_package_id=$1 +local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_package_version_creation" ]; +then + resp_code=$(echo "$ml_package_version_creation" | jq -r 'select(.respCode != null) | .respCode') + local major_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.version != null) | .version') + local minor_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.trainingVersion != null) | .trainingVersion') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" +} + +# Create ML package metadata +function create_ml_package_metadata() { +echo "$(date) Creating new ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local ml_package_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages' -H 'content-type: application/json;charset=UTF-8' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_package_creation" ]; +then + resp_code=$(echo "$ml_package_creation" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package" "$red Failed create ML package version ... Exiting !!!" +} + +# Validate if last command executed successfully +# $1- Error message +function validate_last_command_executed_succesfully() { +if [ $? -ne 0 ]; +then + echo "$red $(date) $1" + exit 1 +fi +} + +# Create package upload metadata +# $1 - Project id +# $2 - Flag to validate if public package +# $3 - Is Private package version upload +function create_package_upload_payload() { +local project_id=$1 +local is_public_package=$2 +local is_private_package_version_upload=$2 + +if [ "$is_public_package" = true ]; +then + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{description,displayName,inputDescription,mlPackageOwnedByAccountId,mlPackageOwnedByTenantId,mlPackageOwnedByProjectId,sourcePackageId,sourcePackageVersionId,name,outputDescription,settings,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\",displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",mlPackageOwnedByAccountId:\"$source_ml_package_owned_by_accountId\",mlPackageOwnedByTenantId:\"$source_ml_package_owned_by_tenantId\",mlPackageOwnedByProjectId:\"$source_ml_package_owned_by_projectId\",sourcePackageId:\"$source_ml_package_id\",sourcePackageVersionId:\"$source_ml_package_version_id\"}") +else + if [ "$is_public_package" = true ]; + then + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\"}" ) + else + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",version:\"$ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE\"}" ) + fi +fi + +validate_last_command_executed_succesfully "$red Failed to extract ML package metadata from $ML_PACKAGE_METADATA_FILE_PATH" +} + +# Upload ML package to blob storage for target environment +function upload_ml_package_using_signed_url() { + +# Get Signed url +get_signed_url PUT false $ML_PACKAGE_ZIP_FILE_PATH + +# Global signed url will be used in payload creation +signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') + +if [ -z "$signed_url" ]; +then + echo "$red $(date) Failed to extract signed url ... Exiting" + exit 1 +fi + +echo "$yellow $(date) Uploading ML package $default" + +curl -k -L $signed_url -X 'PUT' -H 'content-type: application/x-zip-compressed' --data-binary @$ML_PACKAGE_ZIP_FILE_PATH + +validate_last_command_executed_succesfully "$red Failed to upload ML package" + +echo "$(date) Successfully uploaded ML package zip file" +} + +# Get signed for ML package located at blob storage +# $1 - Signing Method Type +# $2 - Encoded URl +# $3 - Zip file +function get_signed_url() { +local signing_method=$1 +local encoded_url=$2 +local ml_package_file=$3 + +# Change forward to backslash if any for compatibiity +local ml_package_zip_path=$(echo $ml_package_file | sed 's/\\/\//g') +local blob_name=${ml_package_zip_path##*/} + +generated_signed_url=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_name"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$generated_signed_url" ]; +then + resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Signed Url generated successfully for ML Package: $ml_package_zip_path, signing method: $signing_method, encoded url: $encoded_url" "$red Failed to generate signed url for blob $ml_package_zip_path, signing method $signing_method ... Exiting !!!" +} + +# Fetch list of all ML packages +# $1 - Project Id under which ML packages are present +function fetch_ml_packages() { +local project_id=$1 +ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&project_id='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_packages" ]; +then + resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red Failed to fetch ML packages ... Exiting" +} + +# Find all projects +function fetch_projects() { +projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$projects" ]; +then + resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" +} + + +# Extract destination public ML package metadata +# $1 - Existing public ML package name in target environment +# $2 - Public ML package major version in target environment +function extract_public_package_additional_metadata_from_target_environment() { + +local public_ml_package_name=$1 +local major_ml_package_version=$2 +local minor_ml_package_version=0 + +echo "$(date) Extracting additional metadata for public package $public_ml_package_name with version $major_ml_package_version.$minor_ml_package_version from target environment" + +local public_projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects/public?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$public_projects" ]; +then + resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched public project" "$red Failed to fetch public project ... Exiting" + +for ((i=0; i<$(echo "$public_projects" | jq -r ".data | length"); i=i+1)) +do + local public_project=$(echo "$public_projects" | jq -r ".data[$i]") + local mlPackage_owned_by_accountId=$(echo "$public_project" | jq -r 'select(.accountId != null) | .accountId') + local mlPackage_owned_by_tenantId=$(echo "$public_project" | jq -r 'select(.tenantId != null) | .tenantId') + local mlPackage_owned_by_projectId=$(echo "$public_project" | jq -r 'select(.id != null) | .id') + local project_name=$(echo "$public_project" | jq -r 'select(.name != null) | .name') + + local public_ml_packages_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&status=DEPLOYING,DEPLOYED,UNDEPLOYED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$public_ml_packages_under_public_project" ]; + then + resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully fetched ML packages under project $project_name" "$red Failed to fetch ml packages under project $project_name ... Exiting" + + local public_ml_package=$(echo "$public_ml_packages_under_public_project" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$public_ml_package_name\")") + + if [ ! -z "$public_ml_package" ]; + then + echo "$(date) ML Package with name $public_ml_package_name found" + local public_ml_package_id=$(echo "$public_ml_package" | jq -r 'select(.id != null) | .id') + + local public_ml_package_version_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$public_ml_package_id"'??pageSize='"$PAGE_SIZE"'&status=PURGED,VALIDATION_FAILED,VALIDATING,THREAT_DETECTED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$public_ml_package_version_under_public_project" ]; + then + resp_code=$(echo "$public_ml_package_version_under_public_project" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $public_ml_package_name" "$red Failed to fetch ML package versions for ml package $public_ml_package_name ... Exiting" + + local public_ml_package_version=$(echo "$public_ml_package_version_under_public_project" | jq '.data.mlPackageVersions[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') + + if [ ! -z "$public_ml_package_version" ]; + then + echo "$(date) ML package version $major_ml_package_version.$minor_ml_package_version found for ML package $public_ml_package_name" + + # update all required properties for public model + source_ml_package_owned_by_accountId=$mlPackage_owned_by_accountId + source_ml_package_owned_by_tenantId=$mlPackage_owned_by_tenantId + source_ml_package_owned_by_projectId=$mlPackage_owned_by_projectId + source_ml_package_id=$public_ml_package_id + source_ml_package_version_id=$(echo "$public_ml_package_version" | jq -r 'select(.id != null) | .id') + + # Return, we have found required ML package version in target environment + return + fi + fi +done +} + +function upload_ml_package() { + +# Fetch Projects +fetch_projects + +# Fetch project by name +local project=$(echo "$projects" | jq -r ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") + +if [ ! -z "$project" ]; +then + echo "$(date) Project by name $PROJECT_NAME fetched successfully" +else + echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" + exit 1 +fi + +local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') + +if [ -z "$project_id" ]; +then + echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" + exit 1 +fi + +# Fetch list of all ML packages from target environment +fetch_ml_packages $project_id + +# Fetch ML Package by name from list of Packages +local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") + +if [ ! -z "$ml_package" ]; +then + echo "$yellow $(date) ML package by name $ML_PACKAGE_NAME fetched successfully, New ML version will be uploaded $default" + + # Extract ML package Id + ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') + + if [ -z "$ml_package_id" ]; + then + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + exit 1 + fi + + # Upload ML package + upload_ml_package_using_signed_url + + # Validate if ML package metadata is for public package or not + local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + + if [ "$is_public_package" != null ]; + then + echo "$(date) ML package metadata belong to public package" + + local is_ml_package_also_public=$(cat $ml_package | jq -r -e '.sourcePackageName?') + + if [ "$is_ml_package_also_public" = null ]; + then + echo "$red $(date) ML package should also be public for public packge metadata, please check metadata file ... Exiting ....." + exit 1 + fi + + local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') + extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion + + # Validate public ML package metadata extracted successfully + validate_extracted_public_ml_package_metadata + + # create payload for ML package + create_package_upload_payload $project_id "true" "false" + + # Create public ML package + create_public_ml_package_version_metadata $ml_package_id + else + echo "$(date) ML package metadata belong to private package" + + local is_ml_package_not_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') + + if [ "$is_ml_package_not_public" != null ]; + then + echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting ....." + exit 1 + fi + + # create payload for package upload + create_package_upload_payload $project_id "false" "false" + + # Crate ML Package version package + create_ml_package_version_metadata $ml_package_id + fi +else + echo "$yellow $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, new ML package will be uploaded $default" + + # validate unique name for ML package + validate_unique_ml_package_name $ML_PACKAGE_NAME + + # Upload ML package + upload_ml_package_using_signed_url + + # Validate if ML package metadata is for public package or not + local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + + if [ "$is_public_package" != null ]; + then + echo "$(date) ML package version metadata belong to public package" + local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') + extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion + + # Validate public ML package metadata extracted successfully + validate_extracted_public_ml_package_metadata + + # Create payload for ML package + create_package_upload_payload $project_id "true" "false" + + # Create public ML package version + create_public_ml_package_metadata + else + echo "$(date) ML package metadata belong to private package" + + # Create payload for ML package + create_package_upload_payload $project_id "false" "true" + + # Create ML package version metadata + create_ml_package_metadata + fi +fi +} + +# Valiate if ML package name is unique acros all projects in target environment +# $1 - ML package name +function validate_unique_ml_package_name() { + +echo "$(date) Validating uniqueness of ML package name" +local ml_package_name=$1 +local is_unique_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/search?name='"$ml_package_name"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +if [ -z "$is_unique_ml_package" ]; +then + echo "$red $(date) ML package with name $1 alreday exits in target enviornment, can't create new ML package ... Exiting" + exit 1 +fi +} + +function validate_extracted_public_ml_package_metadata() { + +if [[ -z $source_ml_package_owned_by_accountId || -z $source_ml_package_owned_by_tenantId || -z $source_ml_package_owned_by_projectId || -z $source_ml_package_id || -z $source_ml_package_version_id ]]; +then + echo "$red $(date) Some of ML package metadata is still empty after extration ... Exiting" + exit 1 +fi +} + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function valiadte_file_path() { +if [ ! -f "$1" ]; +then + echo "$red $(date) $1 file does not exist, Please check ... Exiting" + exit 1 +fi +} + + +# Validate dependecny module +# $1 - Name of the dependecny module +# $2 - Command to validate module +function validate_dependency() { +list=$($2) +if [ -z "$list" ]; +then + echo "$red $(date) Please install ******** $1 *********** ... Exiting" + exit 1 +fi +} + +# Validate input provided by end user +function validate_input() { + +readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') +readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') +readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') +readonly ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMajorVersionForPrivatePackage != null) | .mlPackageMajorVersionForPrivatePackage') +readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') +readonly ML_PACKAGE_ZIP_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageZipFilePath != null) | .mlPackageZipFilePath') +readonly ML_PACKAGE_METADATA_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMetadataFilePath != null) | .mlPackageMetadataFilePath') + +if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ACCESS_TOKEN || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH ]]; +then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + exit 1 +fi + +valiadte_file_path $ML_PACKAGE_ZIP_FILE_PATH +valiadte_file_path $ML_PACKAGE_METADATA_FILE_PATH + +echo "$(date) Successfully validated user input" +} + +# Validate required modules exits in target setup +function validate_setup() { +validate_dependency curl "curl --version" +validate_dependency jq "jq --version" +echo "$(date) Successfully validated required dependecies" +} + +# Validate Setup +validate_setup + +# Validate Input +validate_input + +# Upload requested ML package +upload_ml_package + +echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment" From 57a371c116d26d134186d0894d2fc112296da53d Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Mon, 11 Jan 2021 17:44:58 +0530 Subject: [PATCH 006/267] Added Input file validation --- platform/onebox/backup_and_restore/export.sh | 3 +++ platform/onebox/backup_and_restore/import.sh | 3 +++ 2 files changed, 6 insertions(+) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 35182ce7..45d6ebb5 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -244,6 +244,9 @@ download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name # Validate input provided by end user function validate_input() { +# Validate file path +valiadte_file_path $ML_PACKAGE_EXPORT_INPUT_FILE + readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 26eb3248..1480df5f 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -482,6 +482,9 @@ fi # Validate input provided by end user function validate_input() { +# Validate file path +valiadte_file_path $ML_PACKAGE_IMPORT_INPUT_FILE + readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') From 039465bc86f046ddbca39a9ba0bffe777c20732a Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Wed, 9 Dec 2020 20:54:08 +0530 Subject: [PATCH 007/267] add minAIFVersion --- metadata/AustralianInvoices__1__metadata.json | 1 + metadata/AustralianInvoices__2__metadata.json | 1 + metadata/AustralianInvoices__3__metadata.json | 1 + metadata/ComputerVision__1__metadata.json | 1 + metadata/DocumentUnderstanding__1__metadata.json | 1 + metadata/DocumentUnderstanding__2__metadata.json | 1 + metadata/DocumentUnderstanding__3__metadata.json | 1 + metadata/DocumentUnderstanding__4__metadata.json | 1 + metadata/EnglishTextClassification__1__metadata.json | 1 + metadata/FormExtractor__1__metadata.json | 1 + metadata/HandwritingRecognition__1__metadata.json | 1 + metadata/IndianInvoices__1__metadata.json | 1 + metadata/IndianInvoices__2__metadata.json | 1 + metadata/IndianInvoices__3__metadata.json | 1 + metadata/IntelligentFormExtractor__1__metadata.json | 1 + metadata/IntelligentKeywordClassifier__1__metadata.json | 1 + metadata/Invoices__1__metadata.json | 1 + metadata/Invoices__2__metadata.json | 1 + metadata/Invoices__3__metadata.json | 1 + metadata/Invoices__4__metadata.json | 1 + metadata/JapaneseInvoices__1__metadata.json | 1 + metadata/PurchaseOrders__1__metadata.json | 1 + metadata/PurchaseOrders__2__metadata.json | 1 + metadata/PurchaseOrders__3__metadata.json | 1 + metadata/QuestionAnswering__1__metadata.json | 1 + metadata/Receipts__1__metadata.json | 1 + metadata/Receipts__2__metadata.json | 1 + metadata/Receipts__3__metadata.json | 1 + metadata/Receipts__4__metadata.json | 1 + metadata/SentimentAnalysis__1__metadata.json | 1 + metadata/TPOTAutoMLClassification__1__metadata.json | 1 + metadata/TextSummarization__1__metadata.json | 1 + metadata/UiPathDocumentOCR__1__metadata.json | 1 + metadata/UtilityBills__1__metadata.json | 1 + metadata/UtilityBills__2__metadata.json | 1 + metadata/UtilityBills__3__metadata.json | 1 + 36 files changed, 36 insertions(+) diff --git a/metadata/AustralianInvoices__1__metadata.json b/metadata/AustralianInvoices__1__metadata.json index 61b06cc8..5fdb1967 100644 --- a/metadata/AustralianInvoices__1__metadata.json +++ b/metadata/AustralianInvoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:1" } diff --git a/metadata/AustralianInvoices__2__metadata.json b/metadata/AustralianInvoices__2__metadata.json index fca4117d..c177693f 100644 --- a/metadata/AustralianInvoices__2__metadata.json +++ b/metadata/AustralianInvoices__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:2" } diff --git a/metadata/AustralianInvoices__3__metadata.json b/metadata/AustralianInvoices__3__metadata.json index 02617853..6843b9e1 100644 --- a/metadata/AustralianInvoices__3__metadata.json +++ b/metadata/AustralianInvoices__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:3" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index e27802c5..277b2e81 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Computer Vision", "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/computervision:1" } \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__1__metadata.json b/metadata/DocumentUnderstanding__1__metadata.json index 8139f780..1db6c2e2 100644 --- a/metadata/DocumentUnderstanding__1__metadata.json +++ b/metadata/DocumentUnderstanding__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:1" } diff --git a/metadata/DocumentUnderstanding__2__metadata.json b/metadata/DocumentUnderstanding__2__metadata.json index 9766b3bd..82c9fbd5 100644 --- a/metadata/DocumentUnderstanding__2__metadata.json +++ b/metadata/DocumentUnderstanding__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:2" } diff --git a/metadata/DocumentUnderstanding__3__metadata.json b/metadata/DocumentUnderstanding__3__metadata.json index 0afeba87..581c39d5 100644 --- a/metadata/DocumentUnderstanding__3__metadata.json +++ b/metadata/DocumentUnderstanding__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:3" } diff --git a/metadata/DocumentUnderstanding__4__metadata.json b/metadata/DocumentUnderstanding__4__metadata.json index bc53b5c0..7e816857 100644 --- a/metadata/DocumentUnderstanding__4__metadata.json +++ b/metadata/DocumentUnderstanding__4__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:4" } diff --git a/metadata/EnglishTextClassification__1__metadata.json b/metadata/EnglishTextClassification__1__metadata.json index aa342d3e..a9488a09 100644 --- a/metadata/EnglishTextClassification__1__metadata.json +++ b/metadata/EnglishTextClassification__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" } diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index 888627fa..f8491d73 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/formextractor:1" } diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json index 316ac9cb..31b67656 100644 --- a/metadata/HandwritingRecognition__1__metadata.json +++ b/metadata/HandwritingRecognition__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:1" } diff --git a/metadata/IndianInvoices__1__metadata.json b/metadata/IndianInvoices__1__metadata.json index d416d18c..55256c81 100644 --- a/metadata/IndianInvoices__1__metadata.json +++ b/metadata/IndianInvoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:1" } diff --git a/metadata/IndianInvoices__2__metadata.json b/metadata/IndianInvoices__2__metadata.json index 39165072..4d72a20f 100644 --- a/metadata/IndianInvoices__2__metadata.json +++ b/metadata/IndianInvoices__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:2" } diff --git a/metadata/IndianInvoices__3__metadata.json b/metadata/IndianInvoices__3__metadata.json index c81ed4e6..16732b01 100644 --- a/metadata/IndianInvoices__3__metadata.json +++ b/metadata/IndianInvoices__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:3" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index b1c728c0..759f5091 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/intelligentformextractor:1" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index c2f18671..6961be84 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/intelligentkeywordclassifier:1" } diff --git a/metadata/Invoices__1__metadata.json b/metadata/Invoices__1__metadata.json index 2ae45a6c..05a0e8ad 100644 --- a/metadata/Invoices__1__metadata.json +++ b/metadata/Invoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:1" } diff --git a/metadata/Invoices__2__metadata.json b/metadata/Invoices__2__metadata.json index 16c671e9..5f2dd782 100644 --- a/metadata/Invoices__2__metadata.json +++ b/metadata/Invoices__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:2" } diff --git a/metadata/Invoices__3__metadata.json b/metadata/Invoices__3__metadata.json index 79853dad..4f19d90e 100644 --- a/metadata/Invoices__3__metadata.json +++ b/metadata/Invoices__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:3" } diff --git a/metadata/Invoices__4__metadata.json b/metadata/Invoices__4__metadata.json index b1b5103d..b73b2873 100644 --- a/metadata/Invoices__4__metadata.json +++ b/metadata/Invoices__4__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/invoices:4" } diff --git a/metadata/JapaneseInvoices__1__metadata.json b/metadata/JapaneseInvoices__1__metadata.json index 9c2a76e3..d8d510ee 100644 --- a/metadata/JapaneseInvoices__1__metadata.json +++ b/metadata/JapaneseInvoices__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:1" } diff --git a/metadata/PurchaseOrders__1__metadata.json b/metadata/PurchaseOrders__1__metadata.json index c318662b..09432bc4 100644 --- a/metadata/PurchaseOrders__1__metadata.json +++ b/metadata/PurchaseOrders__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:1" } diff --git a/metadata/PurchaseOrders__2__metadata.json b/metadata/PurchaseOrders__2__metadata.json index 98a0db3c..101ff5f0 100644 --- a/metadata/PurchaseOrders__2__metadata.json +++ b/metadata/PurchaseOrders__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:2" } diff --git a/metadata/PurchaseOrders__3__metadata.json b/metadata/PurchaseOrders__3__metadata.json index 61fa5b70..7b5e054a 100644 --- a/metadata/PurchaseOrders__3__metadata.json +++ b/metadata/PurchaseOrders__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:3" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json index 5b482686..b5f069dd 100644 --- a/metadata/QuestionAnswering__1__metadata.json +++ b/metadata/QuestionAnswering__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/questionanswering:1" } diff --git a/metadata/Receipts__1__metadata.json b/metadata/Receipts__1__metadata.json index 7a71fdaa..9b698802 100644 --- a/metadata/Receipts__1__metadata.json +++ b/metadata/Receipts__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:1" } diff --git a/metadata/Receipts__2__metadata.json b/metadata/Receipts__2__metadata.json index 10257e8a..82c34813 100644 --- a/metadata/Receipts__2__metadata.json +++ b/metadata/Receipts__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:2" } diff --git a/metadata/Receipts__3__metadata.json b/metadata/Receipts__3__metadata.json index e9ae610a..b433a487 100644 --- a/metadata/Receipts__3__metadata.json +++ b/metadata/Receipts__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:3" } diff --git a/metadata/Receipts__4__metadata.json b/metadata/Receipts__4__metadata.json index 07434f6e..e63542d8 100644 --- a/metadata/Receipts__4__metadata.json +++ b/metadata/Receipts__4__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/receipts:4" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json index 29de3a3a..6ae5e072 100644 --- a/metadata/SentimentAnalysis__1__metadata.json +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/sentimentanalysis:1" } diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index 9be292c4..f9a36399 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Tabular Data", "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index 8e18ed08..2821ec0b 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/textsummarization:1" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__1__metadata.json b/metadata/UiPathDocumentOCR__1__metadata.json index 811ceba1..02691c30 100644 --- a/metadata/UiPathDocumentOCR__1__metadata.json +++ b/metadata/UiPathDocumentOCR__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:1" } \ No newline at end of file diff --git a/metadata/UtilityBills__1__metadata.json b/metadata/UtilityBills__1__metadata.json index 2a4934bb..cd863f94 100644 --- a/metadata/UtilityBills__1__metadata.json +++ b/metadata/UtilityBills__1__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:1" } diff --git a/metadata/UtilityBills__2__metadata.json b/metadata/UtilityBills__2__metadata.json index 861c74fa..87629893 100644 --- a/metadata/UtilityBills__2__metadata.json +++ b/metadata/UtilityBills__2__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:2" } diff --git a/metadata/UtilityBills__3__metadata.json b/metadata/UtilityBills__3__metadata.json index b0442dbf..a849a470 100644 --- a/metadata/UtilityBills__3__metadata.json +++ b/metadata/UtilityBills__3__metadata.json @@ -17,5 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:3" } From 95d4059f45d9fbbd181d01813bc1a7417bfb93be Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 10 Dec 2020 19:45:19 +0530 Subject: [PATCH 008/267] change to 20.7.1 --- metadata/AustralianInvoices__1__metadata.json | 2 +- metadata/AustralianInvoices__2__metadata.json | 2 +- metadata/AustralianInvoices__3__metadata.json | 2 +- metadata/ComputerVision__1__metadata.json | 42 +++++++++--------- .../DocumentUnderstanding__1__metadata.json | 2 +- .../DocumentUnderstanding__2__metadata.json | 2 +- .../DocumentUnderstanding__3__metadata.json | 2 +- .../DocumentUnderstanding__4__metadata.json | 2 +- ...nglishTextClassification__1__metadata.json | 44 +++++++++---------- metadata/FormExtractor__1__metadata.json | 2 +- .../HandwritingRecognition__1__metadata.json | 2 +- metadata/IndianInvoices__1__metadata.json | 2 +- metadata/IndianInvoices__2__metadata.json | 2 +- metadata/IndianInvoices__3__metadata.json | 2 +- ...IntelligentFormExtractor__1__metadata.json | 2 +- ...lligentKeywordClassifier__1__metadata.json | 2 +- metadata/Invoices__1__metadata.json | 2 +- metadata/Invoices__2__metadata.json | 2 +- metadata/Invoices__3__metadata.json | 2 +- metadata/Invoices__4__metadata.json | 2 +- metadata/JapaneseInvoices__1__metadata.json | 2 +- metadata/PurchaseOrders__1__metadata.json | 2 +- metadata/PurchaseOrders__2__metadata.json | 2 +- metadata/PurchaseOrders__3__metadata.json | 2 +- metadata/QuestionAnswering__1__metadata.json | 2 +- metadata/Receipts__1__metadata.json | 2 +- metadata/Receipts__2__metadata.json | 2 +- metadata/Receipts__3__metadata.json | 2 +- metadata/Receipts__4__metadata.json | 2 +- metadata/SentimentAnalysis__1__metadata.json | 2 +- ...TPOTAutoMLClassification__1__metadata.json | 42 +++++++++--------- metadata/TextSummarization__1__metadata.json | 42 +++++++++--------- metadata/UiPathDocumentOCR__1__metadata.json | 2 +- metadata/UtilityBills__1__metadata.json | 2 +- metadata/UtilityBills__2__metadata.json | 2 +- metadata/UtilityBills__3__metadata.json | 2 +- 36 files changed, 117 insertions(+), 117 deletions(-) diff --git a/metadata/AustralianInvoices__1__metadata.json b/metadata/AustralianInvoices__1__metadata.json index 5fdb1967..7d19975b 100644 --- a/metadata/AustralianInvoices__1__metadata.json +++ b/metadata/AustralianInvoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:1" } diff --git a/metadata/AustralianInvoices__2__metadata.json b/metadata/AustralianInvoices__2__metadata.json index c177693f..94cec2c2 100644 --- a/metadata/AustralianInvoices__2__metadata.json +++ b/metadata/AustralianInvoices__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:2" } diff --git a/metadata/AustralianInvoices__3__metadata.json b/metadata/AustralianInvoices__3__metadata.json index 6843b9e1..ca6f3163 100644 --- a/metadata/AustralianInvoices__3__metadata.json +++ b/metadata/AustralianInvoices__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/australianinvoices:3" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index 277b2e81..7d8d55ee 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "Release v2020.10", - "cpu": 0, - "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", - "displayName": "ComputerVision", - "gpu": 0, - "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_CV", - "name": "ComputerVision", - "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Computer Vision", - "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/computervision:1" +{ + "changeLog": "Release v2020.10", + "cpu": 0, + "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 0, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/computervision:1" } \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__1__metadata.json b/metadata/DocumentUnderstanding__1__metadata.json index 1db6c2e2..0e56f423 100644 --- a/metadata/DocumentUnderstanding__1__metadata.json +++ b/metadata/DocumentUnderstanding__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:1" } diff --git a/metadata/DocumentUnderstanding__2__metadata.json b/metadata/DocumentUnderstanding__2__metadata.json index 82c9fbd5..a59c23e7 100644 --- a/metadata/DocumentUnderstanding__2__metadata.json +++ b/metadata/DocumentUnderstanding__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:2" } diff --git a/metadata/DocumentUnderstanding__3__metadata.json b/metadata/DocumentUnderstanding__3__metadata.json index 581c39d5..dea5f0d9 100644 --- a/metadata/DocumentUnderstanding__3__metadata.json +++ b/metadata/DocumentUnderstanding__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:3" } diff --git a/metadata/DocumentUnderstanding__4__metadata.json b/metadata/DocumentUnderstanding__4__metadata.json index 7e816857..d77bc5b5 100644 --- a/metadata/DocumentUnderstanding__4__metadata.json +++ b/metadata/DocumentUnderstanding__4__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/documentunderstanding:4" } diff --git a/metadata/EnglishTextClassification__1__metadata.json b/metadata/EnglishTextClassification__1__metadata.json index a9488a09..911d3606 100644 --- a/metadata/EnglishTextClassification__1__metadata.json +++ b/metadata/EnglishTextClassification__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", - "displayName": "EnglishTextClassification", - "gpu": 0, - "inputDescription": "Text to be classified as String: 'I loved this movie.'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "EnglishTextClassification", - "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", - "processorType": "GPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" -} +{ + "changeLog": "", + "cpu": 0, + "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", + "displayName": "EnglishTextClassification", + "gpu": 0, + "inputDescription": "Text to be classified as String: 'I loved this movie.'", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "EnglishTextClassification", + "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", + "processorType": "GPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" +} diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index f8491d73..2c2ffc5d 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/formextractor:1" } diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json index 31b67656..167b5b65 100644 --- a/metadata/HandwritingRecognition__1__metadata.json +++ b/metadata/HandwritingRecognition__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:1" } diff --git a/metadata/IndianInvoices__1__metadata.json b/metadata/IndianInvoices__1__metadata.json index 55256c81..066f0f41 100644 --- a/metadata/IndianInvoices__1__metadata.json +++ b/metadata/IndianInvoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:1" } diff --git a/metadata/IndianInvoices__2__metadata.json b/metadata/IndianInvoices__2__metadata.json index 4d72a20f..f734f921 100644 --- a/metadata/IndianInvoices__2__metadata.json +++ b/metadata/IndianInvoices__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:2" } diff --git a/metadata/IndianInvoices__3__metadata.json b/metadata/IndianInvoices__3__metadata.json index 16732b01..df81a2d1 100644 --- a/metadata/IndianInvoices__3__metadata.json +++ b/metadata/IndianInvoices__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/indianinvoices:3" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index 759f5091..be0c39e9 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/intelligentformextractor:1" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index 6961be84..5de5000c 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/intelligentkeywordclassifier:1" } diff --git a/metadata/Invoices__1__metadata.json b/metadata/Invoices__1__metadata.json index 05a0e8ad..2eac98b1 100644 --- a/metadata/Invoices__1__metadata.json +++ b/metadata/Invoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:1" } diff --git a/metadata/Invoices__2__metadata.json b/metadata/Invoices__2__metadata.json index 5f2dd782..abe10e9d 100644 --- a/metadata/Invoices__2__metadata.json +++ b/metadata/Invoices__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:2" } diff --git a/metadata/Invoices__3__metadata.json b/metadata/Invoices__3__metadata.json index 4f19d90e..257b01aa 100644 --- a/metadata/Invoices__3__metadata.json +++ b/metadata/Invoices__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:3" } diff --git a/metadata/Invoices__4__metadata.json b/metadata/Invoices__4__metadata.json index b73b2873..be0c488c 100644 --- a/metadata/Invoices__4__metadata.json +++ b/metadata/Invoices__4__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/invoices:4" } diff --git a/metadata/JapaneseInvoices__1__metadata.json b/metadata/JapaneseInvoices__1__metadata.json index d8d510ee..936aad28 100644 --- a/metadata/JapaneseInvoices__1__metadata.json +++ b/metadata/JapaneseInvoices__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:1" } diff --git a/metadata/PurchaseOrders__1__metadata.json b/metadata/PurchaseOrders__1__metadata.json index 09432bc4..0f750a04 100644 --- a/metadata/PurchaseOrders__1__metadata.json +++ b/metadata/PurchaseOrders__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:1" } diff --git a/metadata/PurchaseOrders__2__metadata.json b/metadata/PurchaseOrders__2__metadata.json index 101ff5f0..b4c65980 100644 --- a/metadata/PurchaseOrders__2__metadata.json +++ b/metadata/PurchaseOrders__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:2" } diff --git a/metadata/PurchaseOrders__3__metadata.json b/metadata/PurchaseOrders__3__metadata.json index 7b5e054a..9d283484 100644 --- a/metadata/PurchaseOrders__3__metadata.json +++ b/metadata/PurchaseOrders__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/purchaseorders:3" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json index b5f069dd..61fe7dfe 100644 --- a/metadata/QuestionAnswering__1__metadata.json +++ b/metadata/QuestionAnswering__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/questionanswering:1" } diff --git a/metadata/Receipts__1__metadata.json b/metadata/Receipts__1__metadata.json index 9b698802..ee34d956 100644 --- a/metadata/Receipts__1__metadata.json +++ b/metadata/Receipts__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:1" } diff --git a/metadata/Receipts__2__metadata.json b/metadata/Receipts__2__metadata.json index 82c34813..3af3d6e4 100644 --- a/metadata/Receipts__2__metadata.json +++ b/metadata/Receipts__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:2" } diff --git a/metadata/Receipts__3__metadata.json b/metadata/Receipts__3__metadata.json index b433a487..36ec0ed2 100644 --- a/metadata/Receipts__3__metadata.json +++ b/metadata/Receipts__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:3" } diff --git a/metadata/Receipts__4__metadata.json b/metadata/Receipts__4__metadata.json index e63542d8..e4cf370e 100644 --- a/metadata/Receipts__4__metadata.json +++ b/metadata/Receipts__4__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/receipts:4" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json index 6ae5e072..f1dc3982 100644 --- a/metadata/SentimentAnalysis__1__metadata.json +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/sentimentanalysis:1" } diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index f9a36399..ae1281e7 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "", - "cpu": 0, - "description":"Please train this ML Package before deploying it as it will not return anything otherwise.   \n\nTPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users.   \n\nThe model is based on a publication entitled \"Scaling tree-based automated machine learning to biomedical big data with a feature set selector.\" from Trang T. Le, Weixuan Fu and Jason H. Moore (2020) and \"Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science.\" from Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, and Jason H. Moore. ", - "displayName": "TPOTAutoMLClassification", - "gpu": 0, - "inputDescription":"Features used by the model to make predictions. For example: { \n\n“Feature1”: 12, \n\n“Feature2”: 222, \n\n. \n\n. \n\n“FeatureN”: 110 \n\n} ", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "TPOTAutoMLClassification", - "outputDescription":"JSON with predicted class, associated confidence on that class prediction (between 0-1) and label name. Label names are returned only if the label encoding was performed by the pipeline, within AI Fabric. Some scikit-learn models do not support confidence scores. If the output of the optimization pipeline is a scikit-learn model which does not support confidence scores the output will only contain the predicted class. Ex: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n  \"labels\": “yes” \n\n} \n\nOr if label encoding was done outside of the model: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n}   ", "processorType": "CPU", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "Tabular Data", - "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" +{ + "changeLog": "", + "cpu": 0, + "description":"Please train this ML Package before deploying it as it will not return anything otherwise.   \n\nTPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users.   \n\nThe model is based on a publication entitled \"Scaling tree-based automated machine learning to biomedical big data with a feature set selector.\" from Trang T. Le, Weixuan Fu and Jason H. Moore (2020) and \"Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science.\" from Randal S. Olson, Nathan Bartley, Ryan J. Urbanowicz, and Jason H. Moore. ", + "displayName": "TPOTAutoMLClassification", + "gpu": 0, + "inputDescription":"Features used by the model to make predictions. For example: { \n\n“Feature1”: 12, \n\n“Feature2”: 222, \n\n. \n\n. \n\n“FeatureN”: 110 \n\n} ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "TPOTAutoMLClassification", + "outputDescription":"JSON with predicted class, associated confidence on that class prediction (between 0-1) and label name. Label names are returned only if the label encoding was performed by the pipeline, within AI Fabric. Some scikit-learn models do not support confidence scores. If the output of the optimization pipeline is a scikit-learn model which does not support confidence scores the output will only contain the predicted class. Ex: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n  \"labels\": “yes” \n\n} \n\nOr if label encoding was done outside of the model: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n}   ", "processorType": "CPU", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "Tabular Data", + "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index 2821ec0b..92640fcf 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -1,22 +1,22 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is a abstractive text summarization model open sourced by Facebook AI Research. It is a sequence-to-sequence model based on the paper `BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension` by Lewis, et al.", - "displayName": "TextSummarization", - "gpu": 0, - "inputDescription": "Text to be summarized as a String. Please note this model can be slow for long inputs.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "TextSummarization", - "outputDescription": "JSON with summarized text. The resulting output will have about 20-30% the length of the input", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "Language Comprehension", - "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.10.1", - "imagePath": "registry.replicated.com/aif-core/textsummarization:1" +{ + "changeLog": "", + "cpu": 0, + "description": "This is a abstractive text summarization model open sourced by Facebook AI Research. It is a sequence-to-sequence model based on the paper `BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension` by Lewis, et al.", + "displayName": "TextSummarization", + "gpu": 0, + "inputDescription": "Text to be summarized as a String. Please note this model can be slow for long inputs.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "TextSummarization", + "outputDescription": "JSON with summarized text. The resulting output will have about 20-30% the length of the input", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "Language Comprehension", + "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "imagePath": "registry.replicated.com/aif-core/textsummarization:1" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__1__metadata.json b/metadata/UiPathDocumentOCR__1__metadata.json index 02691c30..f66fc4c3 100644 --- a/metadata/UiPathDocumentOCR__1__metadata.json +++ b/metadata/UiPathDocumentOCR__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:1" } \ No newline at end of file diff --git a/metadata/UtilityBills__1__metadata.json b/metadata/UtilityBills__1__metadata.json index cd863f94..e09deb5d 100644 --- a/metadata/UtilityBills__1__metadata.json +++ b/metadata/UtilityBills__1__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:1" } diff --git a/metadata/UtilityBills__2__metadata.json b/metadata/UtilityBills__2__metadata.json index 87629893..6900cef5 100644 --- a/metadata/UtilityBills__2__metadata.json +++ b/metadata/UtilityBills__2__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:2" } diff --git a/metadata/UtilityBills__3__metadata.json b/metadata/UtilityBills__3__metadata.json index a849a470..3bda36ee 100644 --- a/metadata/UtilityBills__3__metadata.json +++ b/metadata/UtilityBills__3__metadata.json @@ -17,6 +17,6 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1", + "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/utilitybills:3" } From 6810f403701dcb8271a95789b009edd2fe51c577 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Mon, 11 Jan 2021 21:23:50 +0530 Subject: [PATCH 009/267] added ind inv v4 --- README.md | 61 ++++++++++ metadata/ComputerVision__1__metadata.json | 4 +- platform/aks/azuredeploy.singledb.sql.json | 133 +++++++++++++++++++++ 3 files changed, 196 insertions(+), 2 deletions(-) create mode 100644 README.md create mode 100644 platform/aks/azuredeploy.singledb.sql.json diff --git a/README.md b/README.md new file mode 100644 index 00000000..b57434a6 --- /dev/null +++ b/README.md @@ -0,0 +1,61 @@ +# AI-Customer-Scripts + +This repository is used to store scripts for performing support operations on AI-Fabric on-premise installations. + +## Changeset Procedure + +To raise a PR against this repository, follow below procedures, + +1. Take branch cut from alpha branch with naming convention users/{user-name}/{feature-name} +2. Once changes are done and verified on on-premise setup, raise PR against alpha branch. +3. On being merged to alpha branch, changes will be verified by QA with next on-premise release readiness. +4. With release, these changes will be picked to release branch and subsequently to master branch. + +## database + +This directory contains the scripts for database related operations + +createDatabases.ps1 is used to create databases for AI-Fabric Metadata Storage & can be used with following options. This script has to be executed through powershell in Administrator mode & before running script set execution policy to RemoteSigned by running "Set-ExecutionPolicy RemoteSigned" +.EXAMPLE + If SQL Server can be accessed through Windows Authentication then: + ./createDatabases.ps1 -sqlinstance "DESKTOP-LOUPTI1\SQLEXPRESS" -windowsAuthentication "Y" + + If SQL Server has to be accessed through SQL Server Authentication: + ./createDatabases.ps1 -sqlinstance "DESKTOP-LOUPTI1\SQLEXPRESS" -windowsAuthentication "N" + + If you wish to change the dbUser Name generated: + ./createDatabases.ps1 -sqlinstance "DESKTOP-LOUPTI1\SQLEXPRESS" -windowsAuthentication "N" -dbuser "aifadmin" + + If you wish to generate DB Names with suffixes, this is just for testing purpose: + ./createDatabases.ps1 -sqlinstance "DESKTOP-LOUPTI1\SQLEXPRESS" -windowsAuthentication "N" -dbuser "aifadmin" -dbpass "admin@123" -suffix "_tbd" + + If user supplied password has to be used instead of script autogenerating the same: + ./createDatabases.ps1 -sqlinstance "DESKTOP-LOUPTI1\SQLEXPRESS" -windowsAuthentication "N" -dbuser "aifadmin" -dbpass "admin@123" + +## gpu + +install_gpu_driver.sh is used to install GPU drivers, associate gpu drivers with docker runtime and register gpu hardware with kubernetes deployment. Run below command to install drivers + +./install_gpu_driver.sh + +## metadata + +This directory stores the metadata of Out of box models that can be used with on-premise online & airgap installations. + +## orchestrator + +This directory stores the script to setup aifabric connection related properties in orchestartor. This script has to be executed throuh powershell in Administrator mode & before running script set execution policy to RemoteSigned by running "Set-ExecutionPolicy RemoteSigned". + +.EXAMPLE + If orchestrator is hosted at orchestrator.uipath.com and aifabric is available at ww.xx.yy.zz, command to run would be + ./orchestratorAutomation.ps1 -aifip ww.xx.yy.zz -orcname orchestrator.uipath.com + + If ai-app is accessed via domain instead of IP:PORT combo, then enable domainBasedAccess to true + .\orchestratorAutomation.ps1 -aifip "aif-sahil-aks.westeurope.cloudapp.azure.com" -orcname "aifabricdevorch.northeurope.cloudapp.azure.com" -portlessAccess "true" + + If Orchestrator Installation Path has to be specified, + ./orchestratorAutomation.ps1 -aifip ww.xx.yy.zz -orcname orchestrator.uipath.com -config "C:\Program Files (x86)\UiPath\Orchestrator" + +## platform + +This directory stores platform related scripts to support maintenance operations on supported platforms. diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index 7d8d55ee..16f49ff6 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -14,8 +14,8 @@ "projectId": "[project-id]", "retrainable": false, "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", "imagePath": "registry.replicated.com/aif-core/computervision:1" diff --git a/platform/aks/azuredeploy.singledb.sql.json b/platform/aks/azuredeploy.singledb.sql.json new file mode 100644 index 00000000..449cf27d --- /dev/null +++ b/platform/aks/azuredeploy.singledb.sql.json @@ -0,0 +1,133 @@ +{ + "$schema": "https://schema.management.azure.com/schemas/2019-04-01/deploymentTemplate.json#", + "contentVersion": "1.0.0.0", + "parameters": { + "serverName": { + "type": "string", + "defaultValue": "[uniqueString('sql', resourceGroup().id)]", + "metadata": { + "description": "The name of the SQL logical server." + } + }, + "location": { + "type": "string", + "defaultValue": "[resourceGroup().location]", + "metadata": { + "description": "Location for all resources." + } + }, + "administratorLogin": { + "type": "string", + "metadata": { + "description": "The administrator username of the SQL logical server." + } + }, + "administratorLoginPassword": { + "type": "securestring", + "metadata": { + "description": "The administrator password of the SQL logical server." + } + }, + "allowAzureIPs": { + "defaultValue": true, + "type": "bool", + "metadata": { + "description": "Allow Azure services to access server." + } + }, + "connectionType": { + "defaultValue": "Default", + "allowedValues": [ + "Default", + "Redirect", + "Proxy" + ], + "type": "string", + "metadata": { + "description": "SQL logical server connection type." + } + }, + "sqlDatabaseTier": { + "defaultValue": "Standard", + "allowedValues": [ + "Standard", + "Premium" + ], + "type": "string", + "metadata": { + "description": "SQL Database sku size." + } + }, + "sqlDatabaseSize": { + "defaultValue": "S2", + "allowedValues": [ + "S1", + "S2", + "S3" + ], + "type": "string", + "metadata": { + "description": "SQL Database sku size." + } + } + }, + "resources": [ + { + "type": "Microsoft.Sql/servers", + "apiVersion": "2018-06-01-preview", + "name": "[parameters('serverName')]", + "location": "[parameters('location')]", + "properties": { + "administratorLogin": "[parameters('administratorLogin')]", + "administratorLoginPassword": "[parameters('administratorLoginPassword')]", + "version": "12.0" + }, + "resources": [ + { + "condition": "[parameters('allowAzureIPs')]", + "type": "firewallRules", + "apiVersion": "2018-06-01-preview", + "name": "AllowAllWindowsAzureIps", + "location": "[parameters('location')]", + "dependsOn": [ + "[resourceId('Microsoft.Sql/servers', parameters('serverName'))]" + ], + "properties": { + "endIpAddress": "0.0.0.0", + "startIpAddress": "0.0.0.0" + } + }, + { + "type": "connectionPolicies", + "apiVersion": "2014-04-01", + "name": "Default", + "dependsOn": [ + "[resourceId('Microsoft.Sql/servers', parameters('serverName'))]" + ], + "properties": { + "connectionType": "[parameters('connectionType')]" + } + }, + { + "type": "databases", + "apiVersion": "2019-06-01-preview", + "name": "aifabric", + "location": "[parameters('location')]", + "dependsOn": [ + "[resourceId('Microsoft.Sql/servers', parameters('serverName'))]" + ], + "properties": { + "edition": "Basic", + "requestedServiceObjectiveName": "Basic", + "collation": "SQL_Latin1_General_CP1_CI_AS" + }, + "sku": { + "name": "[parameters('sqlDatabaseSize')]", + "tier": "[parameters('sqlDatabaseTier')]" + } + } + ] + } + ] +} + From 7467dab14ad47c43ed2b489aa7baf8eee6318f15 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Tue, 12 Jan 2021 12:03:47 +0530 Subject: [PATCH 010/267] add 20.11 models --- metadata/AustralianInvoices__4__metadata.json | 23 +++++++++++++++++++ .../DocumentUnderstanding__5__metadata.json | 23 +++++++++++++++++++ metadata/Invoices__5__metadata.json | 23 +++++++++++++++++++ metadata/JapaneseInvoices__2__metadata.json | 23 +++++++++++++++++++ metadata/PurchaseOrders__4__metadata.json | 23 +++++++++++++++++++ metadata/Receipts__5__metadata.json | 23 +++++++++++++++++++ metadata/UtilityBills__4__metadata.json | 23 +++++++++++++++++++ 7 files changed, 161 insertions(+) create mode 100644 metadata/AustralianInvoices__4__metadata.json create mode 100644 metadata/DocumentUnderstanding__5__metadata.json create mode 100644 metadata/Invoices__5__metadata.json create mode 100644 metadata/JapaneseInvoices__2__metadata.json create mode 100644 metadata/PurchaseOrders__4__metadata.json create mode 100644 metadata/Receipts__5__metadata.json create mode 100644 metadata/UtilityBills__4__metadata.json diff --git a/metadata/AustralianInvoices__4__metadata.json b/metadata/AustralianInvoices__4__metadata.json new file mode 100644 index 00000000..793c1fd7 --- /dev/null +++ b/metadata/AustralianInvoices__4__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.11.3", + "cpu": 0, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/australianinvoices:4" +} diff --git a/metadata/DocumentUnderstanding__5__metadata.json b/metadata/DocumentUnderstanding__5__metadata.json new file mode 100644 index 00000000..adf6587a --- /dev/null +++ b/metadata/DocumentUnderstanding__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.11.3", + "cpu": 0, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/documentunderstanding:5" +} diff --git a/metadata/Invoices__5__metadata.json b/metadata/Invoices__5__metadata.json new file mode 100644 index 00000000..84f8483c --- /dev/null +++ b/metadata/Invoices__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.11.3", + "cpu": 0, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/invoices:5" +} diff --git a/metadata/JapaneseInvoices__2__metadata.json b/metadata/JapaneseInvoices__2__metadata.json new file mode 100644 index 00000000..694ecf15 --- /dev/null +++ b/metadata/JapaneseInvoices__2__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.11.3", + "cpu": 0, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:2" +} diff --git a/metadata/PurchaseOrders__4__metadata.json b/metadata/PurchaseOrders__4__metadata.json new file mode 100644 index 00000000..a45f2e65 --- /dev/null +++ b/metadata/PurchaseOrders__4__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.11.3", + "cpu": 0, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/purchaseorders:4" +} diff --git a/metadata/Receipts__5__metadata.json b/metadata/Receipts__5__metadata.json new file mode 100644 index 00000000..e2ea3385 --- /dev/null +++ b/metadata/Receipts__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.11.3", + "cpu": 0, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/receipts:5" +} diff --git a/metadata/UtilityBills__4__metadata.json b/metadata/UtilityBills__4__metadata.json new file mode 100644 index 00000000..2ee3f9e1 --- /dev/null +++ b/metadata/UtilityBills__4__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.11.3", + "cpu": 0, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/utilitybills:4" +} From c00230b5f0a6aab405f53fc7cbaa957416062f19 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Tue, 12 Jan 2021 15:04:56 +0530 Subject: [PATCH 011/267] document classifier --- metadata/DocumentClassifier__1__metadata.json | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/DocumentClassifier__1__metadata.json diff --git a/metadata/DocumentClassifier__1__metadata.json b/metadata/DocumentClassifier__1__metadata.json new file mode 100644 index 00000000..fb0157d5 --- /dev/null +++ b/metadata/DocumentClassifier__1__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 1, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/documentclassifier:1" +} From 8a885d573f7e52317398f91cfcc960ccef6dfd96 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Tue, 12 Jan 2021 17:49:21 +0530 Subject: [PATCH 012/267] Minor chnages --- platform/onebox/backup_and_restore/export.sh | 12 +++++++++++- platform/onebox/backup_and_restore/import.sh | 8 ++++---- 2 files changed, 15 insertions(+), 5 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 45d6ebb5..d8de174a 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -241,11 +241,21 @@ echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name } +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { +if [ ! -f "$1" ]; +then + echo "$red $(date) $1 file does not exist, Please check ... Exiting" + exit 1 +fi +} + # Validate input provided by end user function validate_input() { # Validate file path -valiadte_file_path $ML_PACKAGE_EXPORT_INPUT_FILE +validate_file_path $ML_PACKAGE_EXPORT_INPUT_FILE readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 1480df5f..6307a618 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -458,7 +458,7 @@ fi # Validate file provided by user exists or not, It may be relative path or absolute path # $1 - File path -function valiadte_file_path() { +function validate_file_path() { if [ ! -f "$1" ]; then echo "$red $(date) $1 file does not exist, Please check ... Exiting" @@ -483,7 +483,7 @@ fi function validate_input() { # Validate file path -valiadte_file_path $ML_PACKAGE_IMPORT_INPUT_FILE +validate_file_path $ML_PACKAGE_IMPORT_INPUT_FILE readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') @@ -499,8 +499,8 @@ then exit 1 fi -valiadte_file_path $ML_PACKAGE_ZIP_FILE_PATH -valiadte_file_path $ML_PACKAGE_METADATA_FILE_PATH +validate_file_path $ML_PACKAGE_ZIP_FILE_PATH +validate_file_path $ML_PACKAGE_METADATA_FILE_PATH echo "$(date) Successfully validated user input" } From 66d384d1a59f63c1f5f300f6d6469e24eae2ec95 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Tue, 12 Jan 2021 18:36:26 +0530 Subject: [PATCH 013/267] Minor changes --- platform/onebox/backup_and_restore/export.sh | 8 ++++---- platform/onebox/backup_and_restore/import.sh | 1 - 2 files changed, 4 insertions(+), 5 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index d8de174a..81201dc6 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -67,7 +67,7 @@ fi function get_signed_url() { local signing_method=$1 local encoded_url=$2 -generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$generated_signed_url" ]; @@ -96,7 +96,7 @@ blob_path=$account_id/$tenant_id/$project_id/$1/$ml_package_version_id/$2 function fetch_ml_package_versions_by_ml_package_id() { local ml_package_id=$1 local project_id=$2 -readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$mlpackage_versions_of_ml_package" ]; @@ -111,7 +111,7 @@ validate_response_from_api $resp_code "200" "Successfully fetched ML package ver # S1 - Project Id under which ML packages is present function fetch_ml_packages() { local project_id=$1 -ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&project_id='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&project_id='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$ml_packages" ]; @@ -124,7 +124,7 @@ validate_response_from_api $resp_code "200" "Successfully fetched ML packages" " # Find all projects function fetch_projects() { -projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$projects" ]; diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 6307a618..fcb75f69 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -466,7 +466,6 @@ then fi } - # Validate dependecny module # $1 - Name of the dependecny module # $2 - Command to validate module From cc8eb893df3a3f593c6dbf8b64b38861f19198b6 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Wed, 13 Jan 2021 09:10:10 +0530 Subject: [PATCH 014/267] Changed dos2unix and fixed bug --- platform/onebox/backup_and_restore/export.sh | 626 ++++++----- platform/onebox/backup_and_restore/import.sh | 1044 +++++++++--------- 2 files changed, 833 insertions(+), 837 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 81201dc6..a673496b 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -1,315 +1,313 @@ -#!/bin/bash - -: ' -This scipt will download ML package from target environment expect cloned Packages. User format -for script is described as -# $1 - ML package export json file path - -[ Structure of ML Package import file] - - hostOrFQDN: Public end point from where backend service can be accessible - - projectName: Project Name to which ML package will be imported - - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - - mlPackageVersion: Version number which will be downloaded. It should be in format like 3.2 or 3.1 etc - - accessToken: Access token to authorize server calls -[Script Version -> 20.10.1.2] -' - -red=$(tput setaf 1) -green=$(tput setaf 2) -yellow=$(tput setaf 3) -default=$(tput sgr0) - -echo "$green $(date) Starting exporting of ML Package: $2 for version: $3 under project $1 $default" - -readonly PAGE_SIZE=10000 -readonly ML_PACKAGE_EXPORT_INPUT_FILE=$1 - -# Validate API response -# $1 - Api response code -# $2 - Expected response code -# $3 - Success Message -# $4 - Error message -function validate_response_from_api() { -if [ $1 = $2 ]; -then - echo "$(date) $3" -elif [ "$1" = "DEFAULT" ]; -then - echo "$red $(date) Please validate access token or check internet. If fine check curl status code ... Exiting" - exit 1 -else - echo "$4 $(date)" - exit 1 -fi -} - -# Download ML package from blob storage using generated signed url -# $1 - Signed Url -# $2 - ML Package name to be saved -function download_ml_package_using_signedUrl() { -local signed_url=$1 -local ml_package=$2 - -echo "$yellow $(date) Downloading ML package ... $default" -curl --progress-bar -L -k -o $ml_package $signed_url - -if [ $? -ne 0 ]; -then - echo "$red $(date) Failed to download ML package" - remove_directory - exit 1 -fi -} - -# Get signed for ML package located at blob storage -# $1 - Signing Method Type -# $2 - Encoded URl -function get_signed_url() { -local signing_method=$1 -local encoded_url=$2 -generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$generated_signed_url" ]; -then - resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Signed Url generated successfully for blob path: $blob_path, signing method: $1, encoded url: $2" "$red Failed to generate signed url for blob path $1, signing method $2 ... Exiting !!!" -} - -# Generate ML package blob path -# $1 - ML package Id -# $2 - ML package file name with extention -function generate_ml_package_blobPath() { -local account_id=$(echo "$ml_package_version" | jq -r 'select(.accountId != null) | .accountId') -local tenant_id=$(echo "$ml_package_version" | jq -r 'select(.tenantId != null) | .tenantId') -local project_id=$(echo "$ml_package_version" | jq -r 'select(.projectId != null) | .projectId') -local ml_package_version_id=$(echo "$ml_package_version" | jq -r 'select(.id != null) | .id') - -blob_path=$account_id/$tenant_id/$project_id/$1/$ml_package_version_id/$2 -} - - -# Fetch List of ML packages version given by ML package id -# $1 - ML Package id -function fetch_ml_package_versions_by_ml_package_id() { -local ml_package_id=$1 -local project_id=$2 -readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$mlpackage_versions_of_ml_package" ]; -then - resp_code=$(echo "$mlpackage_versions_of_ml_package" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $ML_PACKAGE_NAME" "$red Failed to fetch ML package versions for ML package with id $ml_package_id ... Exiting" -} - -# Fetch list of all ML packages -# S1 - Project Id under which ML packages is present -function fetch_ml_packages() { -local project_id=$1 -ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&project_id='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$ml_packages" ]; -then - resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red 1 Failed to fetch ML packages ... Exiting" -} - -# Find all projects -function fetch_projects() { -projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$projects" ]; -then - resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" -} - -# Download ML package -function download_ml_package() { - -# Fetch Projects -fetch_projects - -# Fetch project by name -local project=$(echo "$projects" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") - -if [ ! -z "$project" ]; -then - echo "$(date) Project by name $PROJECT_NAME fetched successfully" -else - echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" - exit 1 -fi - -local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') - -if [ -z "$project_id" ]; -then - echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" - exit 1 -fi - -# Fetch list of all ML packages from target environment -fetch_ml_packages $project_id - -# Fetch ML Package by name from list of Packages -local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") - -if [ ! -z "$ml_package" ]; -then - echo "$(date) ML package by name $ML_PACKAGE_NAME fetched successfully" -else - echo "$red $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, Please check ML Package Name ... Exiting" - exit 1 -fi - -# Extract ML package Id -ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') - -if [ -z "$ml_package_id" ]; -then - echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" - exit 1 -fi - -# Extract ML package major and minor version from input -local minor_ml_package_version=${ML_PACKAGE_VERSION##*.} -local major_ml_package_version=${ML_PACKAGE_VERSION%.*} - -# Fetch list of ML Packages versions by ML Package Id -fetch_ml_package_versions_by_ml_package_id $ml_package_id $project_id - -# Fetch ML package version fron list of versions -ml_package_version=$(echo "$mlpackage_versions_of_ml_package" | jq '.data.dataList[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') - -if [ ! -z "$ml_package_version" ]; -then - echo "$(date) ML package verison $ML_PACKAGE_VERSION fetched successfully" -else - echo "$red $(date) Failed to fetch ML Package version $ML_PACKAGE_VERSION for ML package $ML_PACKAGE_NAME in status [UNDEPLOYED, DEPLOYED, DEPLOYING] ... Exiting" - exit 1 -fi - -# Extract content uri -local ml_package_version_content_uri=$(echo "$ml_package_version" | jq 'select(.contentUri != null) | .contentUri') - -if [ -z "$ml_package_version_content_uri" ]; -then -echo "$red $(date) We can only download versions and trained versions, not cloned version, please verify ML package version ... Exiting !!!" -exit 1 -fi - -# Extract zip file name -zip_path="${ml_package_version_content_uri##*/}" -ml_package_zip_file_name=${zip_path%.*}.zip - -metadata_file_name=${zip_path%.*}_v${ML_PACKAGE_VERSION}_metadata - -# Generate ML package blob path -generate_ml_package_blobPath $ml_package_id $ml_package_zip_file_name - -# Get Signed url -get_signed_url GET false - - -signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') - -if [ -z "$signed_url" ]; -then - echo "$red $(date) Failed to extract signed url ... Exiting" - exit 1 -fi - -# create new directory -create_directory - -echo $ml_package_version > $metadata_file_name.json -echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata json file with name $metadata_file_name in [$(pwd)] directory $default" - -# Download ML package using genearted signed url -download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name -} - -# Validate file provided by user exists or not, It may be relative path or absolute path -# $1 - File path -function validate_file_path() { -if [ ! -f "$1" ]; -then - echo "$red $(date) $1 file does not exist, Please check ... Exiting" - exit 1 -fi -} - -# Validate input provided by end user -function validate_input() { - -# Validate file path -validate_file_path $ML_PACKAGE_EXPORT_INPUT_FILE - -readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') -readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') -readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') -readonly ML_PACKAGE_VERSION=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageVersion != null) | .mlPackageVersion') -readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') - -if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z $ACCESS_TOKEN ]]; -then - echo "$red $(date) Input is invalid or missing, Please check ... Exiting" - exit 1 -fi - -echo "$(date) Successfully validated user input" -} - -# Validate dependecny module -# $1 - Name of the dependecny module -# $2 - Command to validate module -function validate_dependency() { -list=$($2) -if [ -z "$list" ]; - then - echo "$red $(date) Please install ******** $1 *********** ... Exiting" - exit 1 -fi -} - -# Validate required modules exits in target setup -function validate_setup() { -validate_dependency curl "curl --version" -validate_dependency jq "jq --version" -echo "$(date) Successfully validated required dependecies" -} - -# Create directory -function create_directory() { -dir_name=$(date +%Y-%m-%d:%H:%M:%S:%3N) -mkdir -p $dir_name -cd $dir_name -} - -# Remove directory -function remove_directory() { -rm -rf $dir_name -} - -# Validate Setup -validate_setup - -# Validate Input -validate_input - -# Download requested ML package -download_ml_package - +#!/bin/bash + +: ' +This scipt will download ML package from target environment, expect cloned packages. +# $1 - ML package export json file path + +[ Structure of ML Package import file with exact key name ] + - hostOrFQDN: Public end point from where backend service can be accessible + - projectName: Project Name to which ML package will be imported + - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name + - mlPackageVersion: Version number which will be downloaded. It should be in format like 3.2 or 3.1 etc + - accessToken: Access token to authorize server calls +[Script Version -> 20.10.1.2] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Starting export of ML Package $default" + +readonly PAGE_SIZE=10000 +readonly ML_PACKAGE_EXPORT_INPUT_FILE=$1 + +# Validate API response +# $1 - Api response code +# $2 - Expected response code +# $3 - Success Message +# $4 - Error message +function validate_response_from_api() { +if [ $1 = $2 ]; +then + echo "$(date) $3" +elif [ "$1" = "DEFAULT" ]; +then + echo "$red $(date) Please validate access token or check internet. If fine check curl status code ... Exiting" + exit 1 +else + echo "$4 $(date)" + exit 1 +fi +} + +# Download ML package from blob storage using generated signed url +# $1 - Signed Url +# $2 - ML Package name to be saved +function download_ml_package_using_signedUrl() { +local signed_url=$1 +local ml_package=$2 + +echo "$yellow $(date) Downloading ML package ... $default" +curl --progress-bar -L -k -o $ml_package $signed_url + +if [ $? -ne 0 ]; +then + echo "$red $(date) Failed to download ML package" + remove_directory + exit 1 +fi +} + +# Get signed for ML package located at blob storage +# $1 - Signing Method Type +# $2 - Encoded URl +function get_signed_url() { +local signing_method=$1 +local encoded_url=$2 +generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$generated_signed_url" ]; +then + resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Signed url generated successfully for blob path: $blob_path, signing method: $1, encoded url: $2" "$red Failed to generate signed url for blob path $1, signing method $2 ... Exiting !!!" +} + +# Generate ML package blob path +# $1 - ML package Id +# $2 - ML package file name with extention +function generate_ml_package_blobPath() { +local account_id=$(echo "$ml_package_version" | jq -r 'select(.accountId != null) | .accountId') +local tenant_id=$(echo "$ml_package_version" | jq -r 'select(.tenantId != null) | .tenantId') +local project_id=$(echo "$ml_package_version" | jq -r 'select(.projectId != null) | .projectId') +local ml_package_version_id=$(echo "$ml_package_version" | jq -r 'select(.id != null) | .id') + +blob_path=$account_id/$tenant_id/$project_id/$1/$ml_package_version_id/$2 +} + + +# Fetch List of ML packages version given by ML package id +# $1 - ML Package id +function fetch_ml_package_versions_by_ml_package_id() { +local ml_package_id=$1 +local project_id=$2 +readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$mlpackage_versions_of_ml_package" ]; +then + resp_code=$(echo "$mlpackage_versions_of_ml_package" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $ML_PACKAGE_NAME" "$red Failed to fetch ML package versions for ML package $ML_PACKAGE_NAME ... Exiting" +} + +# Fetch list of all ML packages +# S1 - Project Id under which ML packages is present +function fetch_ml_packages() { +local project_id=$1 +ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_packages" ]; +then + resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red 1 Failed to fetch ML packages ... Exiting" +} + +# Find all projects +function fetch_projects() { +projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$projects" ]; +then + resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" +} + +# Download ML package +function download_ml_package() { + +# Fetch Projects +fetch_projects + +# Fetch project by name +local project=$(echo "$projects" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") + +if [ ! -z "$project" ]; +then + echo "$(date) Project by name $PROJECT_NAME fetched successfully" +else + echo "$red $(date) Failed to find project by name $PROJECT_NAME, Please check Project Name ... Exiting" + exit 1 +fi + +local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') + +if [ -z "$project_id" ]; +then + echo "$red $(date) Failed to extract project id from list of projects ... Exiting" + exit 1 +fi + +# Fetch list of all ML packages from target environment +fetch_ml_packages $project_id + +# Fetch ML Package by name from list of Packages +local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") + +if [ ! -z "$ml_package" ]; +then + echo "$(date) ML package by name $ML_PACKAGE_NAME fetched successfully" +else + echo "$red $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, Please check ML Package name ... Exiting" + exit 1 +fi + +# Extract ML package Id +ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') + +if [ -z "$ml_package_id" ]; +then + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + exit 1 +fi + +# Extract ML package major and minor version from input +local minor_ml_package_version=${ML_PACKAGE_VERSION##*.} +local major_ml_package_version=${ML_PACKAGE_VERSION%.*} + +# Fetch list of ML Packages versions by ML Package Id +fetch_ml_package_versions_by_ml_package_id $ml_package_id $project_id + +# Fetch ML package version fron list of versions +ml_package_version=$(echo "$mlpackage_versions_of_ml_package" | jq '.data.dataList[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') + +if [ ! -z "$ml_package_version" ]; +then + echo "$(date) ML package verison $ML_PACKAGE_VERSION fetched successfully" +else + echo "$red $(date) Failed to fetch ML Package version $ML_PACKAGE_VERSION for ML package $ML_PACKAGE_NAME in status [UNDEPLOYED, DEPLOYED, DEPLOYING] in project $PROJECT_NAME... Exiting" + exit 1 +fi + +# Extract content uri +local ml_package_version_content_uri=$(echo "$ml_package_version" | jq 'select(.contentUri != null) | .contentUri') + +if [ -z "$ml_package_version_content_uri" ]; +then +echo "$red $(date) We can only download version and trained packages, not cloned version, please verify ML package version ... Exiting !!!" +exit 1 +fi + +# Extract zip file name +zip_path="${ml_package_version_content_uri##*/}" +ml_package_zip_file_name=${zip_path%.*}.zip + +metadata_file_name=${zip_path%.*}_v${ML_PACKAGE_VERSION}_metadata + +# Generate ML package blob path +generate_ml_package_blobPath $ml_package_id $ml_package_zip_file_name + +# Get Signed url +get_signed_url GET false + +signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') + +if [ -z "$signed_url" ]; +then + echo "$red $(date) Failed to extract signed url ... Exiting" + exit 1 +fi + +# create new directory +create_directory + +echo $ml_package_version > $metadata_file_name.json +echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata json file with name $metadata_file_name in [$(pwd)] directory $default" + +# Download ML package using genearted signed url +download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name +} + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { +if [ ! -f "$1" ]; +then + echo "$red $(date) $1 file does not exist, Please check ... Exiting" + exit 1 +fi +} + +# Validate input provided by end user +function validate_input() { + +# Validate file path +validate_file_path $ML_PACKAGE_EXPORT_INPUT_FILE + +readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') +readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') +readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') +readonly ML_PACKAGE_VERSION=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageVersion != null) | .mlPackageVersion') +readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') + +if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z $ACCESS_TOKEN ]]; +then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + exit 1 +fi + +echo "$(date) Successfully validated user input" +} + +# Validate dependecny module +# $1 - Name of the dependecny module +# $2 - Command to validate module +function validate_dependency() { +list=$($2) +if [ -z "$list" ]; + then + echo "$red $(date) Please install ******** $1 *********** ... Exiting" + exit 1 +fi +} + +# Validate required modules exits in target setup +function validate_setup() { +validate_dependency curl "curl --version" +validate_dependency jq "jq --version" +echo "$(date) Successfully validated required dependecies" +} + +# Create directory +function create_directory() { +dir_name=${ML_PACKAGE_NAME}_v${ML_PACKAGE_VERSION}_$(date +%s) +mkdir -p $dir_name +cd $dir_name +} + +# Remove directory +function remove_directory() { +rm -rf $dir_name +} + +# Validate Setup +validate_setup + +# Validate Input +validate_input + +# Download requested ML package +download_ml_package + echo "$green $(date) Successfully downloaded $ML_PACKAGE_NAME V$ML_PACKAGE_VERSION in [$(pwd)] directory" \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index fcb75f69..e0f4bc30 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -1,523 +1,521 @@ -#!/bin/bash - -: ' -This scipt will upload ML package to target environment. User format for script is described as -# $1 - ML package import json file path - -[ Structure of ML Package import file] - - hostOrFQDN: Public end point from where backend service can be accessible - - projectName: Project Name to which ML package will be imported - - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - - mlPackageMajorVersionForPrivatePackage: Used to upload new minor version like 3.X. Used for private packages only. Default value should be zero - - accessToken: Access token to authorize server calls - - mlPackageZipFilePath: ML package zip file path that will be uploaded to target environment - - mlPackageMetadataFilePath: ML package import metadata json file path -[Script Version -> 20.10.1.2] -' - -red=$(tput setaf 1) -green=$(tput setaf 2) -yellow=$(tput setaf 3) -default=$(tput sgr0) - -# Will be used in public package upload -source_ml_package_owned_by_accountId="" -source_ml_package_owned_by_tenantId="" -source_ml_package_owned_by_projectId="" -source_ml_package_id="" -source_ml_package_version_id="" - -readonly ML_PACKAGE_IMPORT_INPUT_FILE=$1 -readonly PAGE_SIZE=10000 - -echo "$green $(date) Starting importing of ML Package: $2 under project: $1 $default" - -# Validate API response -# $1 - Api response code -# $2 - Expected response code -# $3 - Success Message -# $4 - Error message -function validate_response_from_api() { -if [ $1 = $2 ]; -then - echo "$(date) $3" -elif [ "$1" = "DEFAULT" ]; -then - echo "$red $(date) Please validate access token or internet. If fine check curl status code ... Exiting" - exit 1 -else - echo "$(date) $4" - exit 1 -fi -} - -# Create public ML package -function create_public_ml_package_metadata() { -echo "$(date) Creating public ML package metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local create_public_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') - -local resp_code=DEFAULT -if [ ! -z "$create_public_ml_package" ]; -then - resp_code=$(echo "$create_public_ml_package" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "201" "$green Successfully created ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package ... Exiting !!!" - -} - -# Create public ML package version -# $1 - ML package id -function create_public_ml_package_version_metadata() { -local ml_package_id=$1 -echo "$(date) Creating public ML package version metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local create_public_ml_package_version=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' \ - -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') - -local resp_code=DEFAULT -if [ ! -z "$create_public_ml_package_version" ]; -then - resp_code=$(echo "$create_public_ml_package_version" | jq -r 'select(.respCode != null) | .respCode') - local major_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.version != null) | .version') - local minor_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.trainingVersion != null) | .trainingVersion') -fi - -validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" - -} - -# Create ML package version metadata -# $1 - ML Package Id -function create_ml_package_version_metadata() { -echo "$(date) Creating new ML package version for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local ml_package_id=$1 -local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') - -local resp_code=DEFAULT -if [ ! -z "$ml_package_version_creation" ]; -then - resp_code=$(echo "$ml_package_version_creation" | jq -r 'select(.respCode != null) | .respCode') - local major_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.version != null) | .version') - local minor_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.trainingVersion != null) | .trainingVersion') -fi - -validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" -} - -# Create ML package metadata -function create_ml_package_metadata() { -echo "$(date) Creating new ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local ml_package_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages' -H 'content-type: application/json;charset=UTF-8' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' --data-binary ''"$extractedMetadata"'') - -local resp_code=DEFAULT -if [ ! -z "$ml_package_creation" ]; -then - resp_code=$(echo "$ml_package_creation" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "201" "$green Successfully created ML package" "$red Failed create ML package version ... Exiting !!!" -} - -# Validate if last command executed successfully -# $1- Error message -function validate_last_command_executed_succesfully() { -if [ $? -ne 0 ]; -then - echo "$red $(date) $1" - exit 1 -fi -} - -# Create package upload metadata -# $1 - Project id -# $2 - Flag to validate if public package -# $3 - Is Private package version upload -function create_package_upload_payload() { -local project_id=$1 -local is_public_package=$2 -local is_private_package_version_upload=$2 - -if [ "$is_public_package" = true ]; -then - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{description,displayName,inputDescription,mlPackageOwnedByAccountId,mlPackageOwnedByTenantId,mlPackageOwnedByProjectId,sourcePackageId,sourcePackageVersionId,name,outputDescription,settings,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\",displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",mlPackageOwnedByAccountId:\"$source_ml_package_owned_by_accountId\",mlPackageOwnedByTenantId:\"$source_ml_package_owned_by_tenantId\",mlPackageOwnedByProjectId:\"$source_ml_package_owned_by_projectId\",sourcePackageId:\"$source_ml_package_id\",sourcePackageVersionId:\"$source_ml_package_version_id\"}") -else - if [ "$is_public_package" = true ]; - then - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\"}" ) - else - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",version:\"$ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE\"}" ) - fi -fi - -validate_last_command_executed_succesfully "$red Failed to extract ML package metadata from $ML_PACKAGE_METADATA_FILE_PATH" -} - -# Upload ML package to blob storage for target environment -function upload_ml_package_using_signed_url() { - -# Get Signed url -get_signed_url PUT false $ML_PACKAGE_ZIP_FILE_PATH - -# Global signed url will be used in payload creation -signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') - -if [ -z "$signed_url" ]; -then - echo "$red $(date) Failed to extract signed url ... Exiting" - exit 1 -fi - -echo "$yellow $(date) Uploading ML package $default" - -curl -k -L $signed_url -X 'PUT' -H 'content-type: application/x-zip-compressed' --data-binary @$ML_PACKAGE_ZIP_FILE_PATH - -validate_last_command_executed_succesfully "$red Failed to upload ML package" - -echo "$(date) Successfully uploaded ML package zip file" -} - -# Get signed for ML package located at blob storage -# $1 - Signing Method Type -# $2 - Encoded URl -# $3 - Zip file -function get_signed_url() { -local signing_method=$1 -local encoded_url=$2 -local ml_package_file=$3 - -# Change forward to backslash if any for compatibiity -local ml_package_zip_path=$(echo $ml_package_file | sed 's/\\/\//g') -local blob_name=${ml_package_zip_path##*/} - -generated_signed_url=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_name"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$generated_signed_url" ]; -then - resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Signed Url generated successfully for ML Package: $ml_package_zip_path, signing method: $signing_method, encoded url: $encoded_url" "$red Failed to generate signed url for blob $ml_package_zip_path, signing method $signing_method ... Exiting !!!" -} - -# Fetch list of all ML packages -# $1 - Project Id under which ML packages are present -function fetch_ml_packages() { -local project_id=$1 -ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&project_id='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$ml_packages" ]; -then - resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red Failed to fetch ML packages ... Exiting" -} - -# Find all projects -function fetch_projects() { -projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$projects" ]; -then - resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" -} - - -# Extract destination public ML package metadata -# $1 - Existing public ML package name in target environment -# $2 - Public ML package major version in target environment -function extract_public_package_additional_metadata_from_target_environment() { - -local public_ml_package_name=$1 -local major_ml_package_version=$2 -local minor_ml_package_version=0 - -echo "$(date) Extracting additional metadata for public package $public_ml_package_name with version $major_ml_package_version.$minor_ml_package_version from target environment" - -local public_projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects/public?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$public_projects" ]; -then - resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') -fi - -validate_response_from_api $resp_code "200" "Successfully fetched public project" "$red Failed to fetch public project ... Exiting" - -for ((i=0; i<$(echo "$public_projects" | jq -r ".data | length"); i=i+1)) -do - local public_project=$(echo "$public_projects" | jq -r ".data[$i]") - local mlPackage_owned_by_accountId=$(echo "$public_project" | jq -r 'select(.accountId != null) | .accountId') - local mlPackage_owned_by_tenantId=$(echo "$public_project" | jq -r 'select(.tenantId != null) | .tenantId') - local mlPackage_owned_by_projectId=$(echo "$public_project" | jq -r 'select(.id != null) | .id') - local project_name=$(echo "$public_project" | jq -r 'select(.name != null) | .name') - - local public_ml_packages_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&status=DEPLOYING,DEPLOYED,UNDEPLOYED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$public_ml_packages_under_public_project" ]; - then - resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "200" "Successfully fetched ML packages under project $project_name" "$red Failed to fetch ml packages under project $project_name ... Exiting" - - local public_ml_package=$(echo "$public_ml_packages_under_public_project" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$public_ml_package_name\")") - - if [ ! -z "$public_ml_package" ]; - then - echo "$(date) ML Package with name $public_ml_package_name found" - local public_ml_package_id=$(echo "$public_ml_package" | jq -r 'select(.id != null) | .id') - - local public_ml_package_version_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$public_ml_package_id"'??pageSize='"$PAGE_SIZE"'&status=PURGED,VALIDATION_FAILED,VALIDATING,THREAT_DETECTED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$public_ml_package_version_under_public_project" ]; - then - resp_code=$(echo "$public_ml_package_version_under_public_project" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $public_ml_package_name" "$red Failed to fetch ML package versions for ml package $public_ml_package_name ... Exiting" - - local public_ml_package_version=$(echo "$public_ml_package_version_under_public_project" | jq '.data.mlPackageVersions[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') - - if [ ! -z "$public_ml_package_version" ]; - then - echo "$(date) ML package version $major_ml_package_version.$minor_ml_package_version found for ML package $public_ml_package_name" - - # update all required properties for public model - source_ml_package_owned_by_accountId=$mlPackage_owned_by_accountId - source_ml_package_owned_by_tenantId=$mlPackage_owned_by_tenantId - source_ml_package_owned_by_projectId=$mlPackage_owned_by_projectId - source_ml_package_id=$public_ml_package_id - source_ml_package_version_id=$(echo "$public_ml_package_version" | jq -r 'select(.id != null) | .id') - - # Return, we have found required ML package version in target environment - return - fi - fi -done -} - -function upload_ml_package() { - -# Fetch Projects -fetch_projects - -# Fetch project by name -local project=$(echo "$projects" | jq -r ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") - -if [ ! -z "$project" ]; -then - echo "$(date) Project by name $PROJECT_NAME fetched successfully" -else - echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" - exit 1 -fi - -local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') - -if [ -z "$project_id" ]; -then - echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" - exit 1 -fi - -# Fetch list of all ML packages from target environment -fetch_ml_packages $project_id - -# Fetch ML Package by name from list of Packages -local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") - -if [ ! -z "$ml_package" ]; -then - echo "$yellow $(date) ML package by name $ML_PACKAGE_NAME fetched successfully, New ML version will be uploaded $default" - - # Extract ML package Id - ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') - - if [ -z "$ml_package_id" ]; - then - echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" - exit 1 - fi - - # Upload ML package - upload_ml_package_using_signed_url - - # Validate if ML package metadata is for public package or not - local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') - - if [ "$is_public_package" != null ]; - then - echo "$(date) ML package metadata belong to public package" - - local is_ml_package_also_public=$(cat $ml_package | jq -r -e '.sourcePackageName?') - - if [ "$is_ml_package_also_public" = null ]; - then - echo "$red $(date) ML package should also be public for public packge metadata, please check metadata file ... Exiting ....." - exit 1 - fi - - local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') - extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion - - # Validate public ML package metadata extracted successfully - validate_extracted_public_ml_package_metadata - - # create payload for ML package - create_package_upload_payload $project_id "true" "false" - - # Create public ML package - create_public_ml_package_version_metadata $ml_package_id - else - echo "$(date) ML package metadata belong to private package" - - local is_ml_package_not_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') - - if [ "$is_ml_package_not_public" != null ]; - then - echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting ....." - exit 1 - fi - - # create payload for package upload - create_package_upload_payload $project_id "false" "false" - - # Crate ML Package version package - create_ml_package_version_metadata $ml_package_id - fi -else - echo "$yellow $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, new ML package will be uploaded $default" - - # validate unique name for ML package - validate_unique_ml_package_name $ML_PACKAGE_NAME - - # Upload ML package - upload_ml_package_using_signed_url - - # Validate if ML package metadata is for public package or not - local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') - - if [ "$is_public_package" != null ]; - then - echo "$(date) ML package version metadata belong to public package" - local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') - extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion - - # Validate public ML package metadata extracted successfully - validate_extracted_public_ml_package_metadata - - # Create payload for ML package - create_package_upload_payload $project_id "true" "false" - - # Create public ML package version - create_public_ml_package_metadata - else - echo "$(date) ML package metadata belong to private package" - - # Create payload for ML package - create_package_upload_payload $project_id "false" "true" - - # Create ML package version metadata - create_ml_package_metadata - fi -fi -} - -# Valiate if ML package name is unique acros all projects in target environment -# $1 - ML package name -function validate_unique_ml_package_name() { - -echo "$(date) Validating uniqueness of ML package name" -local ml_package_name=$1 -local is_unique_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/search?name='"$ml_package_name"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -if [ -z "$is_unique_ml_package" ]; -then - echo "$red $(date) ML package with name $1 alreday exits in target enviornment, can't create new ML package ... Exiting" - exit 1 -fi -} - -function validate_extracted_public_ml_package_metadata() { - -if [[ -z $source_ml_package_owned_by_accountId || -z $source_ml_package_owned_by_tenantId || -z $source_ml_package_owned_by_projectId || -z $source_ml_package_id || -z $source_ml_package_version_id ]]; -then - echo "$red $(date) Some of ML package metadata is still empty after extration ... Exiting" - exit 1 -fi -} - -# Validate file provided by user exists or not, It may be relative path or absolute path -# $1 - File path -function validate_file_path() { -if [ ! -f "$1" ]; -then - echo "$red $(date) $1 file does not exist, Please check ... Exiting" - exit 1 -fi -} - -# Validate dependecny module -# $1 - Name of the dependecny module -# $2 - Command to validate module -function validate_dependency() { -list=$($2) -if [ -z "$list" ]; -then - echo "$red $(date) Please install ******** $1 *********** ... Exiting" - exit 1 -fi -} - -# Validate input provided by end user -function validate_input() { - -# Validate file path -validate_file_path $ML_PACKAGE_IMPORT_INPUT_FILE - -readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') -readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') -readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') -readonly ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMajorVersionForPrivatePackage != null) | .mlPackageMajorVersionForPrivatePackage') -readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') -readonly ML_PACKAGE_ZIP_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageZipFilePath != null) | .mlPackageZipFilePath') -readonly ML_PACKAGE_METADATA_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMetadataFilePath != null) | .mlPackageMetadataFilePath') - -if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ACCESS_TOKEN || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH ]]; -then - echo "$red $(date) Input is invalid or missing, Please check ... Exiting" - exit 1 -fi - -validate_file_path $ML_PACKAGE_ZIP_FILE_PATH -validate_file_path $ML_PACKAGE_METADATA_FILE_PATH - -echo "$(date) Successfully validated user input" -} - -# Validate required modules exits in target setup -function validate_setup() { -validate_dependency curl "curl --version" -validate_dependency jq "jq --version" -echo "$(date) Successfully validated required dependecies" -} - -# Validate Setup -validate_setup - -# Validate Input -validate_input - -# Upload requested ML package -upload_ml_package - -echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment" +#!/bin/bash + +: ' +This scipt will upload ML package to target environment. +# $1 - ML package import json file path + +[ Structure of ML Package import json file along with exact key name] + - hostOrFQDN: Public end point from where backend service can be accessible + - projectName: Project Name to which ML package will be imported + - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name + - mlPackageMajorVersionForPrivatePackage: Used to upload new minor version like 3.X. Used for private packages only. Default value should be zero + - accessToken: Access token to authorize server calls + - mlPackageZipFilePath: ML package zip file path that will be uploaded to target environment + - mlPackageMetadataFilePath: ML package import metadata json file path +[Script Version -> 20.10.1.2] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +# Will be used in public package upload +source_ml_package_owned_by_accountId="" +source_ml_package_owned_by_tenantId="" +source_ml_package_owned_by_projectId="" +source_ml_package_id="" +source_ml_package_version_id="" + +readonly ML_PACKAGE_IMPORT_INPUT_FILE=$1 +readonly PAGE_SIZE=10000 + +echo "$green $(date) Starting import of ML Package $default" + +# Validate API response +# $1 - Api response code +# $2 - Expected response code +# $3 - Success Message +# $4 - Error message +function validate_response_from_api() { +if [ $1 = $2 ]; +then + echo "$(date) $3" +elif [ "$1" = "DEFAULT" ]; +then + echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting" + exit 1 +else + echo "$(date) $4" + exit 1 +fi +} + +# Create public ML package +function create_public_ml_package_metadata() { +echo "$(date) Creating public ML package metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local create_public_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$create_public_ml_package" ]; +then + resp_code=$(echo "$create_public_ml_package" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package ... Exiting !!!" +} + +# Create public ML package version +# $1 - ML package id +function create_public_ml_package_version_metadata() { +local ml_package_id=$1 +echo "$(date) Creating public ML package version metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local create_public_ml_package_version=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' \ + -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$create_public_ml_package_version" ]; +then + resp_code=$(echo "$create_public_ml_package_version" | jq -r 'select(.respCode != null) | .respCode') + local major_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.version != null) | .version') + local minor_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.trainingVersion != null) | .trainingVersion') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" +} + +# Create ML package version metadata +# $1 - ML Package Id +function create_ml_package_version_metadata() { +echo "$(date) Creating new ML package version for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local ml_package_id=$1 +local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_package_version_creation" ]; +then + resp_code=$(echo "$ml_package_version_creation" | jq -r 'select(.respCode != null) | .respCode') + local major_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.version != null) | .version') + local minor_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.trainingVersion != null) | .trainingVersion') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" +} + +# Create ML package metadata +function create_ml_package_metadata() { +echo "$(date) Creating new ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" +local ml_package_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages' -H 'content-type: application/json;charset=UTF-8' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' --data-binary ''"$extractedMetadata"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_package_creation" ]; +then + resp_code=$(echo "$ml_package_creation" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "201" "$green Successfully created ML package" "$red Failed to create ML package version ... Exiting !!!" +} + +# Validate if last command executed successfully +# $1- Error message +function validate_last_command_executed_succesfully() { +if [ $? -ne 0 ]; +then + echo "$red $(date) $1" + exit 1 +fi +} + +# Create package upload metadata +# $1 - Project id +# $2 - Flag to validate if public package +# $3 - Is Private package version upload +function create_package_upload_payload() { +local project_id=$1 +local is_public_package=$2 +local is_private_package_version_upload=$2 + +if [ "$is_public_package" = true ]; +then + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{description,displayName,inputDescription,mlPackageOwnedByAccountId,mlPackageOwnedByTenantId,mlPackageOwnedByProjectId,sourcePackageId,sourcePackageVersionId,name,outputDescription,settings,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\",displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",mlPackageOwnedByAccountId:\"$source_ml_package_owned_by_accountId\",mlPackageOwnedByTenantId:\"$source_ml_package_owned_by_tenantId\",mlPackageOwnedByProjectId:\"$source_ml_package_owned_by_projectId\",sourcePackageId:\"$source_ml_package_id\",sourcePackageVersionId:\"$source_ml_package_version_id\"}") +else + if [ "$is_public_package" = true ]; + then + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\"}" ) + else + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",version:\"$ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE\"}" ) + fi +fi + +validate_last_command_executed_succesfully "$red Failed to extract ML package metadata from $ML_PACKAGE_METADATA_FILE_PATH" +} + +# Upload ML package to blob storage for target environment +function upload_ml_package_using_signed_url() { + +# Get Signed url +get_signed_url PUT false $ML_PACKAGE_ZIP_FILE_PATH + +# Global signed url will be used in payload creation +signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') + +if [ -z "$signed_url" ]; +then + echo "$red $(date) Failed to extract signed url ... Exiting" + exit 1 +fi + +echo "$yellow $(date) Uploading ML package $default" + +curl -k -L $signed_url -X 'PUT' -H 'content-type: application/x-zip-compressed' --data-binary @$ML_PACKAGE_ZIP_FILE_PATH + +validate_last_command_executed_succesfully "$red Failed to upload ML package" + +echo "$(date) Successfully uploaded ML package zip file" +} + +# Get signed for ML package located at blob storage +# $1 - Signing Method Type +# $2 - Encoded URl +# $3 - Zip file +function get_signed_url() { +local signing_method=$1 +local encoded_url=$2 +local ml_package_file=$3 + +# Change forward to backslash if any for compatibiity +local ml_package_zip_path=$(echo $ml_package_file | sed 's/\\/\//g') +local blob_name=${ml_package_zip_path##*/} + +generated_signed_url=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_name"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$generated_signed_url" ]; +then + resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Signed Url generated successfully for ML Package: $ml_package_zip_path, signing method: $signing_method, encoded url: $encoded_url" "$red Failed to generate signed url for blob $ml_package_zip_path, signing method $signing_method ... Exiting !!!" +} + +# Fetch list of all ML packages +# $1 - Project Id under which ML packages are present +function fetch_ml_packages() { +local project_id=$1 +ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$ml_packages" ]; +then + resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red Failed to fetch ML packages ... Exiting" +} + +# Find all projects +function fetch_projects() { +projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$projects" ]; +then + resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" +} + + +# Extract destination public ML package metadata +# $1 - Existing public ML package name in target environment +# $2 - Public ML package major version in target environment +function extract_public_package_additional_metadata_from_target_environment() { + +local public_ml_package_name=$1 +local major_ml_package_version=$2 +local minor_ml_package_version=0 + +echo "$(date) Extracting additional metadata for public package $public_ml_package_name with version $major_ml_package_version.$minor_ml_package_version from target environment" + +local public_projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects/public?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$public_projects" ]; +then + resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched public project" "$red Failed to fetch public project ... Exiting" + +for ((i=0; i<$(echo "$public_projects" | jq -r ".data | length"); i=i+1)) +do + local public_project=$(echo "$public_projects" | jq -r ".data[$i]") + local mlPackage_owned_by_accountId=$(echo "$public_project" | jq -r 'select(.accountId != null) | .accountId') + local mlPackage_owned_by_tenantId=$(echo "$public_project" | jq -r 'select(.tenantId != null) | .tenantId') + local mlPackage_owned_by_projectId=$(echo "$public_project" | jq -r 'select(.id != null) | .id') + local project_name=$(echo "$public_project" | jq -r 'select(.name != null) | .name') + + local public_ml_packages_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&status=DEPLOYING,DEPLOYED,UNDEPLOYED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$public_ml_packages_under_public_project" ]; + then + resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully fetched ML packages under project $project_name" "$red Failed to fetch ml packages under project $project_name ... Exiting" + + local public_ml_package=$(echo "$public_ml_packages_under_public_project" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$public_ml_package_name\")") + + if [ ! -z "$public_ml_package" ]; + then + echo "$(date) ML Package with name $public_ml_package_name found" + local public_ml_package_id=$(echo "$public_ml_package" | jq -r 'select(.id != null) | .id') + + local public_ml_package_version_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$public_ml_package_id"'??pageSize='"$PAGE_SIZE"'&status=PURGED,VALIDATION_FAILED,VALIDATING,THREAT_DETECTED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$public_ml_package_version_under_public_project" ]; + then + resp_code=$(echo "$public_ml_package_version_under_public_project" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $public_ml_package_name" "$red Failed to fetch ML package versions for ml package $public_ml_package_name ... Exiting" + + local public_ml_package_version=$(echo "$public_ml_package_version_under_public_project" | jq '.data.mlPackageVersions[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') + + if [ ! -z "$public_ml_package_version" ]; + then + echo "$(date) ML package version $major_ml_package_version.$minor_ml_package_version found for ML package $public_ml_package_name" + + # update all required properties for public model + source_ml_package_owned_by_accountId=$mlPackage_owned_by_accountId + source_ml_package_owned_by_tenantId=$mlPackage_owned_by_tenantId + source_ml_package_owned_by_projectId=$mlPackage_owned_by_projectId + source_ml_package_id=$public_ml_package_id + source_ml_package_version_id=$(echo "$public_ml_package_version" | jq -r 'select(.id != null) | .id') + + # Return, we have found required ML package version in target environment + return + fi + fi +done +} + +function upload_ml_package() { + +# Fetch Projects +fetch_projects + +# Fetch project by name +local project=$(echo "$projects" | jq -r ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") + +if [ ! -z "$project" ]; +then + echo "$(date) Project by name $PROJECT_NAME fetched successfully" +else + echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" + exit 1 +fi + +local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') + +if [ -z "$project_id" ]; +then + echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" + exit 1 +fi + +# Fetch list of all ML packages from target environment +fetch_ml_packages $project_id + +# Fetch ML Package by name from list of Packages +local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") + +if [ ! -z "$ml_package" ]; +then + echo "$yellow $(date) ML package by name $ML_PACKAGE_NAME fetched successfully, New ML version will be uploaded $default" + + # Extract ML package Id + ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') + + if [ -z "$ml_package_id" ]; + then + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + exit 1 + fi + + # Upload ML package + upload_ml_package_using_signed_url + + # Validate if ML package metadata is for public package or not + local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + + if [ "$is_public_package" != null ]; + then + echo "$(date) ML package metadata belong to public package" + + local is_ml_package_also_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') + + if [ "$is_ml_package_also_public" = null ]; + then + echo "$red $(date) ML package should also be public for public packge metadata, please check metadata file ... Exiting ....." + exit 1 + fi + + local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') + extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion + + # Validate public ML package metadata extracted successfully + validate_extracted_public_ml_package_metadata + + # create payload for ML package + create_package_upload_payload $project_id "true" "false" + + # Create public ML package + create_public_ml_package_version_metadata $ml_package_id + else + echo "$(date) ML package metadata belong to private package" + + local is_ml_package_not_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') + + if [ "$is_ml_package_not_public" != null ]; + then + echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting ....." + exit 1 + fi + + # create payload for package upload + create_package_upload_payload $project_id "false" "false" + + # Crate ML Package version package + create_ml_package_version_metadata $ml_package_id + fi +else + echo "$yellow $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, new ML package will be uploaded $default" + + # validate unique name for ML package + validate_unique_ml_package_name $ML_PACKAGE_NAME + + # Upload ML package + upload_ml_package_using_signed_url + + # Validate if ML package metadata is for public package or not + local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + + if [ "$is_public_package" != null ]; + then + echo "$(date) ML package version metadata belong to public package" + local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') + extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion + + # Validate public ML package metadata extracted successfully + validate_extracted_public_ml_package_metadata + + # Create payload for ML package + create_package_upload_payload $project_id "true" "false" + + # Create public ML package version + create_public_ml_package_metadata + else + echo "$(date) ML package metadata belong to private package" + + # Create payload for ML package + create_package_upload_payload $project_id "false" "true" + + # Create ML package version metadata + create_ml_package_metadata + fi +fi +} + +# Valiate if ML package name is unique acros all projects in target environment +# $1 - ML package name +function validate_unique_ml_package_name() { + +echo "$(date) Validating uniqueness of ML package name" +local ml_package_name=$1 +local is_unique_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/search?name='"$ml_package_name"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +if [ -z "$is_unique_ml_package" ]; +then + echo "$red $(date) ML package with name $1 alreday exits in target enviornment, can't create new ML package ... Exiting" + exit 1 +fi +} + +function validate_extracted_public_ml_package_metadata() { + +if [[ -z $source_ml_package_owned_by_accountId || -z $source_ml_package_owned_by_tenantId || -z $source_ml_package_owned_by_projectId || -z $source_ml_package_id || -z $source_ml_package_version_id ]]; +then + echo "$red $(date) Some of ML package metadata is still empty after extration ... Exiting" + exit 1 +fi +} + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { +if [ ! -f "$1" ]; +then + echo "$red $(date) $1 file does not exist, Please check ... Exiting" + exit 1 +fi +} + +# Validate dependecny module +# $1 - Name of the dependecny module +# $2 - Command to validate module +function validate_dependency() { +list=$($2) +if [ -z "$list" ]; +then + echo "$red $(date) Please install ******** $1 *********** ... Exiting" + exit 1 +fi +} + +# Validate input provided by end user +function validate_input() { + +# Validate file path +validate_file_path $ML_PACKAGE_IMPORT_INPUT_FILE + +readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') +readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') +readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') +readonly ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMajorVersionForPrivatePackage != null) | .mlPackageMajorVersionForPrivatePackage') +readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') +readonly ML_PACKAGE_ZIP_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageZipFilePath != null) | .mlPackageZipFilePath') +readonly ML_PACKAGE_METADATA_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMetadataFilePath != null) | .mlPackageMetadataFilePath') + +if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ACCESS_TOKEN || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH ]]; +then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + exit 1 +fi + +validate_file_path $ML_PACKAGE_ZIP_FILE_PATH +validate_file_path $ML_PACKAGE_METADATA_FILE_PATH + +echo "$(date) Successfully validated user input" +} + +# Validate required modules exits in target setup +function validate_setup() { +validate_dependency curl "curl --version" +validate_dependency jq "jq --version" +echo "$(date) Successfully validated required dependecies" +} + +# Validate Setup +validate_setup + +# Validate Input +validate_input + +# Upload requested ML package +upload_ml_package + +echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment" From 24900f7174ce892e9992b72e7b114a6401c12616 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Fri, 15 Jan 2021 09:20:59 +0530 Subject: [PATCH 015/267] Added support for tenant details extration and updated APIs --- platform/onebox/backup_and_restore/export.sh | 38 ++++++++++++--- platform/onebox/backup_and_restore/import.sh | 49 +++++++++++++++----- 2 files changed, 70 insertions(+), 17 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index a673496b..7fdc6bce 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -6,6 +6,7 @@ This scipt will download ML package from target environment, expect cloned packa [ Structure of ML Package import file with exact key name ] - hostOrFQDN: Public end point from where backend service can be accessible + - tenantName: Name of tenant where ML package import will be carried out - projectName: Project Name to which ML package will be imported - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - mlPackageVersion: Version number which will be downloaded. It should be in format like 3.2 or 3.1 etc @@ -66,7 +67,7 @@ fi function get_signed_url() { local signing_method=$1 local encoded_url=$2 -generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$generated_signed_url" ]; @@ -95,7 +96,7 @@ blob_path=$account_id/$tenant_id/$project_id/$1/$ml_package_version_id/$2 function fetch_ml_package_versions_by_ml_package_id() { local ml_package_id=$1 local project_id=$2 -readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$mlpackage_versions_of_ml_package" ]; @@ -107,10 +108,10 @@ validate_response_from_api $resp_code "200" "Successfully fetched ML package ver } # Fetch list of all ML packages -# S1 - Project Id under which ML packages is present +# $1 - Project Id under which ML packages is present function fetch_ml_packages() { local project_id=$1 -ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$ml_packages" ]; @@ -123,7 +124,7 @@ validate_response_from_api $resp_code "200" "Successfully fetched ML packages" " # Find all projects function fetch_projects() { -projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$projects" ]; @@ -137,6 +138,9 @@ validate_response_from_api $resp_code "200" "Successfully fetched projects" "$re # Download ML package function download_ml_package() { +# Fetch tenant details +get_tenant_details + # Fetch Projects fetch_projects @@ -239,6 +243,27 @@ echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name } +# Get details of tenant by name +function get_tenant_details() { +local aif_tenant_details=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/tenant/tenantdetails?tenantName='"$TENANT_NAME"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$aif_tenant_details" ]; +then + resp_code=$(echo "$aif_tenant_details" | jq -r 'select(.respCode != null) | .respCode') +fi +validate_response_from_api $resp_code "200" "Successfully fetched tenant details for tenant $TENANT_NAME" "$red Failed to fetch tenant details for tenant $TENANT_NAME ... Exiting" + +# Extract tenant Id +TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') + +if [ -z "$TENANT_ID" ]; +then + echo "$red $(date) Failed to extract tenant id... Exiting" + exit 1 +fi +} + # Validate file provided by user exists or not, It may be relative path or absolute path # $1 - File path function validate_file_path() { @@ -256,12 +281,13 @@ function validate_input() { validate_file_path $ML_PACKAGE_EXPORT_INPUT_FILE readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') +readonly TENANT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.tenantName != null) | .tenantName') readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') readonly ML_PACKAGE_VERSION=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageVersion != null) | .mlPackageVersion') readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') -if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z $ACCESS_TOKEN ]]; +if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z $ACCESS_TOKEN || -z TENANT_NAME ]]; then echo "$red $(date) Input is invalid or missing, Please check ... Exiting" exit 1 diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index e0f4bc30..d6e87c76 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -6,6 +6,7 @@ This scipt will upload ML package to target environment. [ Structure of ML Package import json file along with exact key name] - hostOrFQDN: Public end point from where backend service can be accessible + - tenantName: Name of tenant where ML package import will be carried out - projectName: Project Name to which ML package will be imported - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - mlPackageMajorVersionForPrivatePackage: Used to upload new minor version like 3.X. Used for private packages only. Default value should be zero @@ -54,7 +55,7 @@ fi # Create public ML package function create_public_ml_package_metadata() { echo "$(date) Creating public ML package metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local create_public_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') +local create_public_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/clone' -H 'tenant-id: '"$TENANT_ID"'' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') local resp_code=DEFAULT if [ ! -z "$create_public_ml_package" ]; @@ -70,7 +71,7 @@ validate_response_from_api $resp_code "201" "$green Successfully created ML pack function create_public_ml_package_version_metadata() { local ml_package_id=$1 echo "$(date) Creating public ML package version metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local create_public_ml_package_version=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions/clone' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' \ +local create_public_ml_package_version=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions/clone' -H 'tenant-id: '"$TENANT_ID"'' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' \ -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') local resp_code=DEFAULT @@ -89,7 +90,7 @@ validate_response_from_api $resp_code "201" "$green Successfully created ML pack function create_ml_package_version_metadata() { echo "$(date) Creating new ML package version for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" local ml_package_id=$1 -local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') +local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') local resp_code=DEFAULT if [ ! -z "$ml_package_version_creation" ]; @@ -105,7 +106,7 @@ validate_response_from_api $resp_code "201" "$green Successfully created ML pack # Create ML package metadata function create_ml_package_metadata() { echo "$(date) Creating new ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local ml_package_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages' -H 'content-type: application/json;charset=UTF-8' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' --data-binary ''"$extractedMetadata"'') +local ml_package_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages' -H 'tenant-id: '"$TENANT_ID"'' -H 'content-type: application/json;charset=UTF-8' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' --data-binary ''"$extractedMetadata"'') local resp_code=DEFAULT if [ ! -z "$ml_package_creation" ]; @@ -187,7 +188,7 @@ local ml_package_file=$3 local ml_package_zip_path=$(echo $ml_package_file | sed 's/\\/\//g') local blob_name=${ml_package_zip_path##*/} -generated_signed_url=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_name"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +generated_signed_url=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_name"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$generated_signed_url" ]; @@ -202,7 +203,7 @@ validate_response_from_api $resp_code "200" "Signed Url generated successfully f # $1 - Project Id under which ML packages are present function fetch_ml_packages() { local project_id=$1 -ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$ml_packages" ]; @@ -215,7 +216,7 @@ validate_response_from_api $resp_code "200" "Successfully fetched ML packages" " # Find all projects function fetch_projects() { -projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$projects" ]; @@ -238,7 +239,7 @@ local minor_ml_package_version=0 echo "$(date) Extracting additional metadata for public package $public_ml_package_name with version $major_ml_package_version.$minor_ml_package_version from target environment" -local public_projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects/public?pageSize='"$PAGE_SIZE"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +local public_projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects/public?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$public_projects" ]; @@ -256,7 +257,7 @@ do local mlPackage_owned_by_projectId=$(echo "$public_project" | jq -r 'select(.id != null) | .id') local project_name=$(echo "$public_project" | jq -r 'select(.name != null) | .name') - local public_ml_packages_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&status=DEPLOYING,DEPLOYED,UNDEPLOYED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local public_ml_packages_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&status=DEPLOYING,DEPLOYED,UNDEPLOYED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$public_ml_packages_under_public_project" ]; @@ -273,7 +274,7 @@ do echo "$(date) ML Package with name $public_ml_package_name found" local public_ml_package_id=$(echo "$public_ml_package" | jq -r 'select(.id != null) | .id') - local public_ml_package_version_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$public_ml_package_id"'??pageSize='"$PAGE_SIZE"'&status=PURGED,VALIDATION_FAILED,VALIDATING,THREAT_DETECTED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local public_ml_package_version_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$public_ml_package_id"'??pageSize='"$PAGE_SIZE"'&status=PURGED,VALIDATION_FAILED,VALIDATING,THREAT_DETECTED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT if [ ! -z "$public_ml_package_version_under_public_project" ]; @@ -305,6 +306,9 @@ done function upload_ml_package() { +# Fetch tenant details +get_tenant_details + # Fetch Projects fetch_projects @@ -430,6 +434,28 @@ else fi } +# Get details of tenant by name +function get_tenant_details() { +local aif_tenant_details=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/tenant/tenantdetails?tenantName='"$TENANT_NAME"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + +local resp_code=DEFAULT +if [ ! -z "$aif_tenant_details" ]; +then + resp_code=$(echo "$aif_tenant_details" | jq -r 'select(.respCode != null) | .respCode') +fi + +validate_response_from_api $resp_code "200" "Successfully fetched tenant details for tenant $TENANT_NAME" "$red Failed to fetch tenant details for tenant $TENANT_NAME ... Exiting" + +# Extract tenant Id +TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') + +if [ -z "$TENANT_ID" ]; +then + echo "$red $(date) Failed to extract tenant id... Exiting" + exit 1 +fi +} + # Valiate if ML package name is unique acros all projects in target environment # $1 - ML package name function validate_unique_ml_package_name() { @@ -483,6 +509,7 @@ function validate_input() { validate_file_path $ML_PACKAGE_IMPORT_INPUT_FILE readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') +readonly TENANT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.tenantName != null) | .tenantName') readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') readonly ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMajorVersionForPrivatePackage != null) | .mlPackageMajorVersionForPrivatePackage') @@ -490,7 +517,7 @@ readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.acces readonly ML_PACKAGE_ZIP_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageZipFilePath != null) | .mlPackageZipFilePath') readonly ML_PACKAGE_METADATA_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMetadataFilePath != null) | .mlPackageMetadataFilePath') -if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ACCESS_TOKEN || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH ]]; +if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ACCESS_TOKEN || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH || -z TENANT_NAME ]]; then echo "$red $(date) Input is invalid or missing, Please check ... Exiting" exit 1 From 88b42bdd182fa009b94487aafd029dd9bd0f169e Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Fri, 15 Jan 2021 18:33:28 +0530 Subject: [PATCH 016/267] Update DocumentClassifier__1__metadata.json --- metadata/DocumentClassifier__1__metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/metadata/DocumentClassifier__1__metadata.json b/metadata/DocumentClassifier__1__metadata.json index fb0157d5..f7f131ad 100644 --- a/metadata/DocumentClassifier__1__metadata.json +++ b/metadata/DocumentClassifier__1__metadata.json @@ -1,9 +1,9 @@ { "changeLog": "", - "cpu": 0, + "cpu": 1, "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", "displayName": "DocumentClassifier", - "gpu": 1, + "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", "inputType": "JSON", "memory": 0, From ce3bae5747d83fb083e2ff3d28e70fa0874d72ec Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Fri, 15 Jan 2021 21:17:06 +0530 Subject: [PATCH 017/267] Added Client registration and de degistration logic --- platform/onebox/backup_and_restore/export.sh | 486 ++++++++----- platform/onebox/backup_and_restore/import.sh | 729 +++++++++++-------- 2 files changed, 703 insertions(+), 512 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 7fdc6bce..037c60a2 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -6,11 +6,14 @@ This scipt will download ML package from target environment, expect cloned packa [ Structure of ML Package import file with exact key name ] - hostOrFQDN: Public end point from where backend service can be accessible + - identityServerEndPoint: End point where identity server is hosted + - hostTenantName: Host Tenant name registered in identity server + - hostTenantIdOrEmailId: Host tenant id or usetr Id + - hostTenantPassword: Host tenant password - tenantName: Name of tenant where ML package import will be carried out - projectName: Project Name to which ML package will be imported - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - mlPackageVersion: Version number which will be downloaded. It should be in format like 3.2 or 3.1 etc - - accessToken: Access token to authorize server calls [Script Version -> 20.10.1.2] ' @@ -22,6 +25,7 @@ default=$(tput sgr0) echo "$green $(date) Starting export of ML Package $default" readonly PAGE_SIZE=10000 +readonly ACCESS_TOKEN_LIFE_TIME=345600 readonly ML_PACKAGE_EXPORT_INPUT_FILE=$1 # Validate API response @@ -30,301 +34,393 @@ readonly ML_PACKAGE_EXPORT_INPUT_FILE=$1 # $3 - Success Message # $4 - Error message function validate_response_from_api() { -if [ $1 = $2 ]; -then - echo "$(date) $3" -elif [ "$1" = "DEFAULT" ]; -then - echo "$red $(date) Please validate access token or check internet. If fine check curl status code ... Exiting" - exit 1 -else - echo "$4 $(date)" - exit 1 -fi + if [ $1 = $2 ]; then + echo "$(date) $3" + elif [ "$1" = "DEFAULT" ]; then + echo "$red $(date) Please validate access token or check internet. If fine check curl status code ... Exiting" + deregister_client + exit 1 + else + echo "$4 $(date)" + deregister_client + exit 1 + fi } # Download ML package from blob storage using generated signed url # $1 - Signed Url # $2 - ML Package name to be saved function download_ml_package_using_signedUrl() { -local signed_url=$1 -local ml_package=$2 - -echo "$yellow $(date) Downloading ML package ... $default" -curl --progress-bar -L -k -o $ml_package $signed_url - -if [ $? -ne 0 ]; -then - echo "$red $(date) Failed to download ML package" - remove_directory - exit 1 -fi + local signed_url=$1 + local ml_package=$2 + + echo "$yellow $(date) Downloading ML package ... $default" + curl --progress-bar -L -k -o $ml_package $signed_url + + if [ $? -ne 0 ]; then + echo "$red $(date) Failed to download ML package" + remove_directory + deregister_client + exit 1 + fi } # Get signed for ML package located at blob storage # $1 - Signing Method Type # $2 - Encoded URl function get_signed_url() { -local signing_method=$1 -local encoded_url=$2 -generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local signing_method=$1 + local encoded_url=$2 + generated_signed_url=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?mlPackageName='"$blob_path"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -local resp_code=DEFAULT -if [ ! -z "$generated_signed_url" ]; -then - resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$generated_signed_url" ]; then + resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "200" "Signed url generated successfully for blob path: $blob_path, signing method: $1, encoded url: $2" "$red Failed to generate signed url for blob path $1, signing method $2 ... Exiting !!!" + validate_response_from_api $resp_code "200" "Signed url generated successfully for blob path: $blob_path, signing method: $1, encoded url: $2" "$red Failed to generate signed url for blob path $1, signing method $2 ... Exiting !!!" } # Generate ML package blob path # $1 - ML package Id # $2 - ML package file name with extention function generate_ml_package_blobPath() { -local account_id=$(echo "$ml_package_version" | jq -r 'select(.accountId != null) | .accountId') -local tenant_id=$(echo "$ml_package_version" | jq -r 'select(.tenantId != null) | .tenantId') -local project_id=$(echo "$ml_package_version" | jq -r 'select(.projectId != null) | .projectId') -local ml_package_version_id=$(echo "$ml_package_version" | jq -r 'select(.id != null) | .id') + local account_id=$(echo "$ml_package_version" | jq -r 'select(.accountId != null) | .accountId') + local tenant_id=$(echo "$ml_package_version" | jq -r 'select(.tenantId != null) | .tenantId') + local project_id=$(echo "$ml_package_version" | jq -r 'select(.projectId != null) | .projectId') + local ml_package_version_id=$(echo "$ml_package_version" | jq -r 'select(.id != null) | .id') -blob_path=$account_id/$tenant_id/$project_id/$1/$ml_package_version_id/$2 + blob_path=$account_id/$tenant_id/$project_id/$1/$ml_package_version_id/$2 } - # Fetch List of ML packages version given by ML package id # $1 - ML Package id function fetch_ml_package_versions_by_ml_package_id() { -local ml_package_id=$1 -local project_id=$2 -readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local ml_package_id=$1 + local project_id=$2 + readonly mlpackage_versions_of_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -local resp_code=DEFAULT -if [ ! -z "$mlpackage_versions_of_ml_package" ]; -then - resp_code=$(echo "$mlpackage_versions_of_ml_package" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$mlpackage_versions_of_ml_package" ]; then + resp_code=$(echo "$mlpackage_versions_of_ml_package" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $ML_PACKAGE_NAME" "$red Failed to fetch ML package versions for ML package $ML_PACKAGE_NAME ... Exiting" + validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $ML_PACKAGE_NAME" "$red Failed to fetch ML package versions for ML package $ML_PACKAGE_NAME ... Exiting" } # Fetch list of all ML packages # $1 - Project Id under which ML packages is present function fetch_ml_packages() { -local project_id=$1 -ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local project_id=$1 + ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -local resp_code=DEFAULT -if [ ! -z "$ml_packages" ]; -then - resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$ml_packages" ]; then + resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red 1 Failed to fetch ML packages ... Exiting" + validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red 1 Failed to fetch ML packages ... Exiting" } # Find all projects function fetch_projects() { -projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -local resp_code=DEFAULT -if [ ! -z "$projects" ]; -then - resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$projects" ]; then + resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" + validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" } # Download ML package function download_ml_package() { -# Fetch tenant details -get_tenant_details + # Fetch tenant details + get_tenant_details -# Fetch Projects -fetch_projects + # Fetch Projects + fetch_projects -# Fetch project by name -local project=$(echo "$projects" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") + # Fetch project by name + local project=$(echo "$projects" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") -if [ ! -z "$project" ]; -then - echo "$(date) Project by name $PROJECT_NAME fetched successfully" -else - echo "$red $(date) Failed to find project by name $PROJECT_NAME, Please check Project Name ... Exiting" - exit 1 -fi + if [ ! -z "$project" ]; then + echo "$(date) Project by name $PROJECT_NAME fetched successfully" + else + echo "$red $(date) Failed to find project by name $PROJECT_NAME, Please check Project Name ... Exiting" + deregister_client + exit 1 + fi -local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') + local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') -if [ -z "$project_id" ]; -then - echo "$red $(date) Failed to extract project id from list of projects ... Exiting" - exit 1 -fi + if [ -z "$project_id" ]; then + echo "$red $(date) Failed to extract project id from list of projects ... Exiting" + deregister_client + exit 1 + fi -# Fetch list of all ML packages from target environment -fetch_ml_packages $project_id + # Fetch list of all ML packages from target environment + fetch_ml_packages $project_id -# Fetch ML Package by name from list of Packages -local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") + # Fetch ML Package by name from list of Packages + local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") -if [ ! -z "$ml_package" ]; -then - echo "$(date) ML package by name $ML_PACKAGE_NAME fetched successfully" -else - echo "$red $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, Please check ML Package name ... Exiting" - exit 1 -fi + if [ ! -z "$ml_package" ]; then + echo "$(date) ML package by name $ML_PACKAGE_NAME fetched successfully" + else + echo "$red $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, Please check ML Package name ... Exiting" + deregister_client + exit 1 + fi -# Extract ML package Id -ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') + # Extract ML package Id + ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') -if [ -z "$ml_package_id" ]; -then - echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" - exit 1 -fi + if [ -z "$ml_package_id" ]; then + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + deregister_client + exit 1 + fi -# Extract ML package major and minor version from input -local minor_ml_package_version=${ML_PACKAGE_VERSION##*.} -local major_ml_package_version=${ML_PACKAGE_VERSION%.*} + # Extract ML package major and minor version from input + local minor_ml_package_version=${ML_PACKAGE_VERSION##*.} + local major_ml_package_version=${ML_PACKAGE_VERSION%.*} -# Fetch list of ML Packages versions by ML Package Id -fetch_ml_package_versions_by_ml_package_id $ml_package_id $project_id + # Fetch list of ML Packages versions by ML Package Id + fetch_ml_package_versions_by_ml_package_id $ml_package_id $project_id -# Fetch ML package version fron list of versions -ml_package_version=$(echo "$mlpackage_versions_of_ml_package" | jq '.data.dataList[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') + # Fetch ML package version fron list of versions + ml_package_version=$(echo "$mlpackage_versions_of_ml_package" | jq '.data.dataList[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') -if [ ! -z "$ml_package_version" ]; -then - echo "$(date) ML package verison $ML_PACKAGE_VERSION fetched successfully" -else - echo "$red $(date) Failed to fetch ML Package version $ML_PACKAGE_VERSION for ML package $ML_PACKAGE_NAME in status [UNDEPLOYED, DEPLOYED, DEPLOYING] in project $PROJECT_NAME... Exiting" - exit 1 -fi + if [ ! -z "$ml_package_version" ]; then + echo "$(date) ML package verison $ML_PACKAGE_VERSION fetched successfully" + else + echo "$red $(date) Failed to fetch ML Package version $ML_PACKAGE_VERSION for ML package $ML_PACKAGE_NAME in status [UNDEPLOYED, DEPLOYED, DEPLOYING] in project $PROJECT_NAME... Exiting" + deregister_client + exit 1 + fi -# Extract content uri -local ml_package_version_content_uri=$(echo "$ml_package_version" | jq 'select(.contentUri != null) | .contentUri') + # Extract content uri + local ml_package_version_content_uri=$(echo "$ml_package_version" | jq 'select(.contentUri != null) | .contentUri') -if [ -z "$ml_package_version_content_uri" ]; -then -echo "$red $(date) We can only download version and trained packages, not cloned version, please verify ML package version ... Exiting !!!" -exit 1 -fi + if [ -z "$ml_package_version_content_uri" ]; then + echo "$red $(date) We can only download version and trained packages, not cloned version, please verify ML package version ... Exiting !!!" + deregister_client + exit 1 + fi -# Extract zip file name -zip_path="${ml_package_version_content_uri##*/}" -ml_package_zip_file_name=${zip_path%.*}.zip + # Extract zip file name + zip_path="${ml_package_version_content_uri##*/}" + ml_package_zip_file_name=${zip_path%.*}.zip -metadata_file_name=${zip_path%.*}_v${ML_PACKAGE_VERSION}_metadata + metadata_file_name=${zip_path%.*}_v${ML_PACKAGE_VERSION}_metadata -# Generate ML package blob path -generate_ml_package_blobPath $ml_package_id $ml_package_zip_file_name + # Generate ML package blob path + generate_ml_package_blobPath $ml_package_id $ml_package_zip_file_name -# Get Signed url -get_signed_url GET false + # Get Signed url + get_signed_url GET false -signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') + signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') -if [ -z "$signed_url" ]; -then - echo "$red $(date) Failed to extract signed url ... Exiting" - exit 1 -fi + if [ -z "$signed_url" ]; then + echo "$red $(date) Failed to extract signed url ... Exiting" + deregister_client + exit 1 + fi -# create new directory -create_directory + # create new directory + create_directory -echo $ml_package_version > $metadata_file_name.json -echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata json file with name $metadata_file_name in [$(pwd)] directory $default" + echo $ml_package_version >$metadata_file_name.json + echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata json file with name $metadata_file_name in [$(pwd)] directory $default" -# Download ML package using genearted signed url -download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name + # Download ML package using genearted signed url + download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name } # Get details of tenant by name function get_tenant_details() { -local aif_tenant_details=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/tenant/tenantdetails?tenantName='"$TENANT_NAME"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - -local resp_code=DEFAULT -if [ ! -z "$aif_tenant_details" ]; -then - resp_code=$(echo "$aif_tenant_details" | jq -r 'select(.respCode != null) | .respCode') -fi -validate_response_from_api $resp_code "200" "Successfully fetched tenant details for tenant $TENANT_NAME" "$red Failed to fetch tenant details for tenant $TENANT_NAME ... Exiting" - -# Extract tenant Id -TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') - -if [ -z "$TENANT_ID" ]; -then - echo "$red $(date) Failed to extract tenant id... Exiting" - exit 1 -fi + echo "Fetching Tenant details for tenant $TENANT_NAME" + local aif_tenant_details=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/tenant/tenantdetails?tenantName='"$TENANT_NAME"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$aif_tenant_details" ]; then + resp_code=$(echo "$aif_tenant_details" | jq -r 'select(.respCode != null) | .respCode') + fi + validate_response_from_api $resp_code "200" "Successfully fetched tenant details for tenant $TENANT_NAME" "$red Failed to fetch tenant details for tenant $TENANT_NAME ... Exiting" + + # Extract tenant Id + TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') + + if [ -z "$TENANT_ID" ]; then + echo "$red $(date) Failed to extract tenant id... Exiting" + deregister_client + exit 1 + fi +} + +# Fetch admin token from identity server end point using host tenant +function fetch_identity_server_token_to_register_client() { + echo "$(date) Fetching identity server client registeration token" + + # Generate required endpoints + readonly local antif=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/antiforgery/generate" + readonly local login=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/Login" + readonly local tokenUrl=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/ClientAccessToken" + + dataLogin='{ + "tenant": "'$HOST_TENANT_NAME'", + "usernameOrEmail": "'$HOST_TENANT_USER_ID_OR_EMAIL'", + "password": "'$HOST_TENANT_PASSWORD'", + "rememberLogin": true + }' + + cookie_file="cookfile.txt" + cookie_file_new="cookfile_new.txt" + + # Get token and construct the cookie, save the returned token. + curl --silent --fail --show-error -k -c $cookie_file --request GET "$antif" + + # Replace headers + sed 's/XSRF-TOKEN-IS/XSRF-TOKEN/g' $cookie_file >$cookie_file_new + + token=$(cat $cookie_file_new | grep XSRF-TOKEN | cut -f7 -d$'\t') + + # Authentication -> POST to $login_url with the token in header "X-CSRF-Token: $token". + curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -c $cookie_file_new -b $cookie_file_new -d "$dataLogin" --request POST "$login" -H "Content-Type: application/json" + + # Fetch Acces token + CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") + + if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then + echo "$(date) $red Failed to generate token to register client ... Existing " + exit 1 + fi +} + +# Fetch access token to call backens server +function fetch_identity_server_access_token() { + echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" + + readonly access_token_response=$( + curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + -H 'Content-Type: application/x-www-form-urlencoded' \ + --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ + --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ + --data-urlencode "grant_type=client_credentials" + ) + + if [ -z "$access_token_response" ]; then + echo "$(date) $red Failed to generate access token to call backend server ... Existing " + deregister_client + exit 1 + fi + + ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') + + if [ -z "$ACCESS_TOKEN" ]; then + echo "$(date) $red Failed to extract access token ... Existing " + deregister_client + exit 1 + fi + + echo "$(date) Successfully fetched access token to call backend server ... Existing " +} + +function deregister_client() { + echo "$default $(date) Deregistering client from $IDENTITY_SERVER_ENDPOINT with name $IS_AIFABRIC_CLIENT_NAME" + curl -k -i --silent --fail --show-error -X DELETE "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client/$IS_AIFABRIC_CLIENT_ID" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" +} + +# Register client and fetch Access token +function register_client_and_fetch_access_token() { + + readonly IS_AIFABRIC_CLIENT_ID="aifabric-"$(openssl rand -hex 10) + readonly IS_AIFABRIC_CLIENT_SECRET=$(openssl rand -hex 32) + readonly IS_AIFABRIC_CLIENT_NAME="aifabric-"$(openssl rand -hex 10) + + # Fetch admin token + fetch_identity_server_token_to_register_client + + # Register client + echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" + + client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + + if [ -z "$client_creation_response" ]; then + echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting" + exit 1 + fi + + # Fetch access token authorize backend server call + fetch_identity_server_access_token } # Validate file provided by user exists or not, It may be relative path or absolute path # $1 - File path function validate_file_path() { -if [ ! -f "$1" ]; -then - echo "$red $(date) $1 file does not exist, Please check ... Exiting" - exit 1 -fi + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting" + exit 1 + fi } # Validate input provided by end user function validate_input() { -# Validate file path -validate_file_path $ML_PACKAGE_EXPORT_INPUT_FILE - -readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') -readonly TENANT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.tenantName != null) | .tenantName') -readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') -readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') -readonly ML_PACKAGE_VERSION=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageVersion != null) | .mlPackageVersion') -readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') - -if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z $ACCESS_TOKEN || -z TENANT_NAME ]]; -then - echo "$red $(date) Input is invalid or missing, Please check ... Exiting" - exit 1 -fi + # Validate file path + validate_file_path $ML_PACKAGE_EXPORT_INPUT_FILE + + readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') + readonly TENANT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.tenantName != null) | .tenantName') + readonly PROJECT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') + readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') + readonly ML_PACKAGE_VERSION=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.mlPackageVersion != null) | .mlPackageVersion') + readonly IDENTITY_SERVER_ENDPOINT=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.identityServerEndPoint != null) | .identityServerEndPoint') + readonly HOST_TENANT_NAME=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostTenantName != null) | .hostTenantName') + readonly HOST_TENANT_USER_ID_OR_EMAIL=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostTenantIdOrEmailId != null) | .hostTenantIdOrEmailId') + readonly HOST_TENANT_PASSWORD=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostTenantPassword != null) | .hostTenantPassword') + + if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z TENANT_NAME || -z IDENTITY_SERVER_ENDPOINT || -z HOST_TENANT_NAME || -z HOST_TENANT_USER_ID_OR_EMAIL || -z HOST_TENANT_PASSWORD ]]; then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + exit 1 + fi -echo "$(date) Successfully validated user input" + echo "$(date) Successfully validated user input" } # Validate dependecny module # $1 - Name of the dependecny module # $2 - Command to validate module function validate_dependency() { -list=$($2) -if [ -z "$list" ]; - then - echo "$red $(date) Please install ******** $1 *********** ... Exiting" + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting" exit 1 -fi + fi } # Validate required modules exits in target setup function validate_setup() { -validate_dependency curl "curl --version" -validate_dependency jq "jq --version" -echo "$(date) Successfully validated required dependecies" + validate_dependency curl "curl --version" + validate_dependency jq "jq --version" + echo "$(date) Successfully validated required dependecies" } # Create directory function create_directory() { -dir_name=${ML_PACKAGE_NAME}_v${ML_PACKAGE_VERSION}_$(date +%s) -mkdir -p $dir_name -cd $dir_name + dir_name=${ML_PACKAGE_NAME}_v${ML_PACKAGE_VERSION}_$(date +%s) + mkdir -p $dir_name + cd $dir_name } # Remove directory function remove_directory() { -rm -rf $dir_name + rm -rf $dir_name } # Validate Setup @@ -333,7 +429,13 @@ validate_setup # Validate Input validate_input +# Register Client and fetch access token +register_client_and_fetch_access_token + # Download requested ML package download_ml_package -echo "$green $(date) Successfully downloaded $ML_PACKAGE_NAME V$ML_PACKAGE_VERSION in [$(pwd)] directory" \ No newline at end of file +# Register client +deregister_client + +echo "$green $(date) Successfully downloaded $ML_PACKAGE_NAME V$ML_PACKAGE_VERSION in [$(pwd)] directory" diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index d6e87c76..142b2397 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -6,11 +6,14 @@ This scipt will upload ML package to target environment. [ Structure of ML Package import json file along with exact key name] - hostOrFQDN: Public end point from where backend service can be accessible + - identityServerEndPoint: End point where identity server is hosted + - hostTenantName: Host Tenant name registered in identity server + - hostTenantIdOrEmailId: Host tenant id or usetr Id + - hostTenantPassword: Host tenant password - tenantName: Name of tenant where ML package import will be carried out - projectName: Project Name to which ML package will be imported - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - mlPackageMajorVersionForPrivatePackage: Used to upload new minor version like 3.X. Used for private packages only. Default value should be zero - - accessToken: Access token to authorize server calls - mlPackageZipFilePath: ML package zip file path that will be uploaded to target environment - mlPackageMetadataFilePath: ML package import metadata json file path [Script Version -> 20.10.1.2] @@ -30,6 +33,7 @@ source_ml_package_version_id="" readonly ML_PACKAGE_IMPORT_INPUT_FILE=$1 readonly PAGE_SIZE=10000 +readonly ACCESS_TOKEN_LIFE_TIME=345600 echo "$green $(date) Starting import of ML Package $default" @@ -39,92 +43,88 @@ echo "$green $(date) Starting import of ML Package $default" # $3 - Success Message # $4 - Error message function validate_response_from_api() { -if [ $1 = $2 ]; -then - echo "$(date) $3" -elif [ "$1" = "DEFAULT" ]; -then - echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting" - exit 1 -else - echo "$(date) $4" - exit 1 -fi + if [ $1 = $2 ]; then + echo "$(date) $3" + elif [ "$1" = "DEFAULT" ]; then + echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting" + deregister_client + exit 1 + else + echo "$(date) $4" + deregister_client + exit 1 + fi } # Create public ML package function create_public_ml_package_metadata() { -echo "$(date) Creating public ML package metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local create_public_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/clone' -H 'tenant-id: '"$TENANT_ID"'' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + echo "$(date) Creating public ML package metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" + local create_public_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/clone' -H 'tenant-id: '"$TENANT_ID"'' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') -local resp_code=DEFAULT -if [ ! -z "$create_public_ml_package" ]; -then - resp_code=$(echo "$create_public_ml_package" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$create_public_ml_package" ]; then + resp_code=$(echo "$create_public_ml_package" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "201" "$green Successfully created ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package ... Exiting !!!" + validate_response_from_api $resp_code "201" "$green Successfully created ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package ... Exiting !!!" } # Create public ML package version # $1 - ML package id function create_public_ml_package_version_metadata() { -local ml_package_id=$1 -echo "$(date) Creating public ML package version metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local create_public_ml_package_version=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions/clone' -H 'tenant-id: '"$TENANT_ID"'' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' \ - -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') - -local resp_code=DEFAULT -if [ ! -z "$create_public_ml_package_version" ]; -then - resp_code=$(echo "$create_public_ml_package_version" | jq -r 'select(.respCode != null) | .respCode') - local major_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.version != null) | .version') - local minor_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.trainingVersion != null) | .trainingVersion') -fi - -validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" + local ml_package_id=$1 + echo "$(date) Creating public ML package version metadata for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" + local create_public_ml_package_version=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions/clone' -H 'tenant-id: '"$TENANT_ID"'' -H 'accept: application/json, text/plain, */*' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' \ + -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + + local resp_code=DEFAULT + if [ ! -z "$create_public_ml_package_version" ]; then + resp_code=$(echo "$create_public_ml_package_version" | jq -r 'select(.respCode != null) | .respCode') + local major_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.version != null) | .version') + local minor_package_version=$(echo "$create_public_ml_package_version" | jq '.data | select(.trainingVersion != null) | .trainingVersion') + fi + + validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" } # Create ML package version metadata # $1 - ML Package Id function create_ml_package_version_metadata() { -echo "$(date) Creating new ML package version for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local ml_package_id=$1 -local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') - -local resp_code=DEFAULT -if [ ! -z "$ml_package_version_creation" ]; -then - resp_code=$(echo "$ml_package_version_creation" | jq -r 'select(.respCode != null) | .respCode') - local major_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.version != null) | .version') - local minor_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.trainingVersion != null) | .trainingVersion') -fi - -validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" + echo "$(date) Creating new ML package version for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" + local ml_package_id=$1 + local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + + local resp_code=DEFAULT + if [ ! -z "$ml_package_version_creation" ]; then + resp_code=$(echo "$ml_package_version_creation" | jq -r 'select(.respCode != null) | .respCode') + local major_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.version != null) | .version') + local minor_package_version=$(echo "$ml_package_version_creation" | jq '.data | select(.trainingVersion != null) | .trainingVersion') + fi + + validate_response_from_api $resp_code "201" "$green Successfully created ML package version v$major_package_version.$minor_package_version for ML package $ML_PACKAGE_NAME $default" "$red Failed to create ML package version ... Exiting !!!" } # Create ML package metadata function create_ml_package_metadata() { -echo "$(date) Creating new ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" -local ml_package_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages' -H 'tenant-id: '"$TENANT_ID"'' -H 'content-type: application/json;charset=UTF-8' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' --data-binary ''"$extractedMetadata"'') + echo "$(date) Creating new ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" + local ml_package_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages' -H 'tenant-id: '"$TENANT_ID"'' -H 'content-type: application/json;charset=UTF-8' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' --data-binary ''"$extractedMetadata"'') -local resp_code=DEFAULT -if [ ! -z "$ml_package_creation" ]; -then - resp_code=$(echo "$ml_package_creation" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$ml_package_creation" ]; then + resp_code=$(echo "$ml_package_creation" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "201" "$green Successfully created ML package" "$red Failed to create ML package version ... Exiting !!!" + validate_response_from_api $resp_code "201" "$green Successfully created ML package" "$red Failed to create ML package version ... Exiting !!!" } # Validate if last command executed successfully # $1- Error message function validate_last_command_executed_succesfully() { -if [ $? -ne 0 ]; -then - echo "$red $(date) $1" - exit 1 -fi + if [ $? -ne 0 ]; then + echo "$red $(date) $1" + deregister_client + exit 1 + fi } # Create package upload metadata @@ -132,47 +132,45 @@ fi # $2 - Flag to validate if public package # $3 - Is Private package version upload function create_package_upload_payload() { -local project_id=$1 -local is_public_package=$2 -local is_private_package_version_upload=$2 - -if [ "$is_public_package" = true ]; -then - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{description,displayName,inputDescription,mlPackageOwnedByAccountId,mlPackageOwnedByTenantId,mlPackageOwnedByProjectId,sourcePackageId,sourcePackageVersionId,name,outputDescription,settings,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\",displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",mlPackageOwnedByAccountId:\"$source_ml_package_owned_by_accountId\",mlPackageOwnedByTenantId:\"$source_ml_package_owned_by_tenantId\",mlPackageOwnedByProjectId:\"$source_ml_package_owned_by_projectId\",sourcePackageId:\"$source_ml_package_id\",sourcePackageVersionId:\"$source_ml_package_version_id\"}") -else - if [ "$is_public_package" = true ]; - then - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\"}" ) + local project_id=$1 + local is_public_package=$2 + local is_private_package_version_upload=$2 + + if [ "$is_public_package" = true ]; then + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{description,displayName,inputDescription,mlPackageOwnedByAccountId,mlPackageOwnedByTenantId,mlPackageOwnedByProjectId,sourcePackageId,sourcePackageVersionId,name,outputDescription,settings,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\",displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",mlPackageOwnedByAccountId:\"$source_ml_package_owned_by_accountId\",mlPackageOwnedByTenantId:\"$source_ml_package_owned_by_tenantId\",mlPackageOwnedByProjectId:\"$source_ml_package_owned_by_projectId\",sourcePackageId:\"$source_ml_package_id\",sourcePackageVersionId:\"$source_ml_package_version_id\"}") else - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",version:\"$ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE\"}" ) + if [ "$is_public_package" = true ]; then + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\"}") + else + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",version:\"$ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE\"}") + fi fi -fi -validate_last_command_executed_succesfully "$red Failed to extract ML package metadata from $ML_PACKAGE_METADATA_FILE_PATH" + validate_last_command_executed_succesfully "$red Failed to extract ML package metadata from $ML_PACKAGE_METADATA_FILE_PATH" } # Upload ML package to blob storage for target environment function upload_ml_package_using_signed_url() { -# Get Signed url -get_signed_url PUT false $ML_PACKAGE_ZIP_FILE_PATH + # Get Signed url + get_signed_url PUT false $ML_PACKAGE_ZIP_FILE_PATH -# Global signed url will be used in payload creation -signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') + # Global signed url will be used in payload creation + signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') -if [ -z "$signed_url" ]; -then - echo "$red $(date) Failed to extract signed url ... Exiting" - exit 1 -fi + if [ -z "$signed_url" ]; then + echo "$red $(date) Failed to extract signed url ... Exiting" + deregister_client + exit 1 + fi -echo "$yellow $(date) Uploading ML package $default" + echo "$yellow $(date) Uploading ML package $default" -curl -k -L $signed_url -X 'PUT' -H 'content-type: application/x-zip-compressed' --data-binary @$ML_PACKAGE_ZIP_FILE_PATH + curl -k -L $signed_url -X 'PUT' -H 'content-type: application/x-zip-compressed' --data-binary @$ML_PACKAGE_ZIP_FILE_PATH -validate_last_command_executed_succesfully "$red Failed to upload ML package" + validate_last_command_executed_succesfully "$red Failed to upload ML package" -echo "$(date) Successfully uploaded ML package zip file" + echo "$(date) Successfully uploaded ML package zip file" } # Get signed for ML package located at blob storage @@ -180,360 +178,445 @@ echo "$(date) Successfully uploaded ML package zip file" # $2 - Encoded URl # $3 - Zip file function get_signed_url() { -local signing_method=$1 -local encoded_url=$2 -local ml_package_file=$3 + local signing_method=$1 + local encoded_url=$2 + local ml_package_file=$3 -# Change forward to backslash if any for compatibiity -local ml_package_zip_path=$(echo $ml_package_file | sed 's/\\/\//g') -local blob_name=${ml_package_zip_path##*/} + # Change forward to backslash if any for compatibiity + local ml_package_zip_path=$(echo $ml_package_file | sed 's/\\/\//g') + local blob_name=${ml_package_zip_path##*/} -generated_signed_url=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_name"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + generated_signed_url=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/signedURL?contentType=application/x-zip-compressed&mlPackageName='"$blob_name"'&signingMethod='"$signing_method"'&encodedUrl='"$encoded_url"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -local resp_code=DEFAULT -if [ ! -z "$generated_signed_url" ]; -then - resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$generated_signed_url" ]; then + resp_code=$(echo "$generated_signed_url" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "200" "Signed Url generated successfully for ML Package: $ml_package_zip_path, signing method: $signing_method, encoded url: $encoded_url" "$red Failed to generate signed url for blob $ml_package_zip_path, signing method $signing_method ... Exiting !!!" + validate_response_from_api $resp_code "200" "Signed Url generated successfully for ML Package: $ml_package_zip_path, signing method: $signing_method, encoded url: $encoded_url" "$red Failed to generate signed url for blob $ml_package_zip_path, signing method $signing_method ... Exiting !!!" } # Fetch list of all ML packages # $1 - Project Id under which ML packages are present function fetch_ml_packages() { -local project_id=$1 -ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local project_id=$1 + ml_packages=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&sortBy=createdOn&sortOrder=DESC&projectId='"$project_id"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -local resp_code=DEFAULT -if [ ! -z "$ml_packages" ]; -then - resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$ml_packages" ]; then + resp_code=$(echo "$ml_packages" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red Failed to fetch ML packages ... Exiting" + validate_response_from_api $resp_code "200" "Successfully fetched ML packages" "$red Failed to fetch ML packages ... Exiting" } # Find all projects function fetch_projects() { -projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -local resp_code=DEFAULT -if [ ! -z "$projects" ]; -then - resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') -fi + local resp_code=DEFAULT + if [ ! -z "$projects" ]; then + resp_code=$(echo "$projects" | jq -r 'select(.respCode != null) | .respCode') + fi -validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" + validate_response_from_api $resp_code "200" "Successfully fetched projects" "$red Failed to fetch projects ... Exiting" } - # Extract destination public ML package metadata # $1 - Existing public ML package name in target environment # $2 - Public ML package major version in target environment function extract_public_package_additional_metadata_from_target_environment() { -local public_ml_package_name=$1 -local major_ml_package_version=$2 -local minor_ml_package_version=0 - -echo "$(date) Extracting additional metadata for public package $public_ml_package_name with version $major_ml_package_version.$minor_ml_package_version from target environment" - -local public_projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects/public?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local public_ml_package_name=$1 + local major_ml_package_version=$2 + local minor_ml_package_version=0 -local resp_code=DEFAULT -if [ ! -z "$public_projects" ]; -then - resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') -fi + echo "$(date) Extracting additional metadata for public package $public_ml_package_name with version $major_ml_package_version.$minor_ml_package_version from target environment" -validate_response_from_api $resp_code "200" "Successfully fetched public project" "$red Failed to fetch public project ... Exiting" - -for ((i=0; i<$(echo "$public_projects" | jq -r ".data | length"); i=i+1)) -do - local public_project=$(echo "$public_projects" | jq -r ".data[$i]") - local mlPackage_owned_by_accountId=$(echo "$public_project" | jq -r 'select(.accountId != null) | .accountId') - local mlPackage_owned_by_tenantId=$(echo "$public_project" | jq -r 'select(.tenantId != null) | .tenantId') - local mlPackage_owned_by_projectId=$(echo "$public_project" | jq -r 'select(.id != null) | .id') - local project_name=$(echo "$public_project" | jq -r 'select(.name != null) | .name') - - local public_ml_packages_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&status=DEPLOYING,DEPLOYED,UNDEPLOYED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local public_projects=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/projects/public?pageSize='"$PAGE_SIZE"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT - if [ ! -z "$public_ml_packages_under_public_project" ]; - then - resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') + if [ ! -z "$public_projects" ]; then + resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') fi - validate_response_from_api $resp_code "200" "Successfully fetched ML packages under project $project_name" "$red Failed to fetch ml packages under project $project_name ... Exiting" - - local public_ml_package=$(echo "$public_ml_packages_under_public_project" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$public_ml_package_name\")") + validate_response_from_api $resp_code "200" "Successfully fetched public project" "$red Failed to fetch public project ... Exiting" - if [ ! -z "$public_ml_package" ]; - then - echo "$(date) ML Package with name $public_ml_package_name found" - local public_ml_package_id=$(echo "$public_ml_package" | jq -r 'select(.id != null) | .id') + for ((i = 0; i < $(echo "$public_projects" | jq -r ".data | length"); i = i + 1)); do + local public_project=$(echo "$public_projects" | jq -r ".data[$i]") + local mlPackage_owned_by_accountId=$(echo "$public_project" | jq -r 'select(.accountId != null) | .accountId') + local mlPackage_owned_by_tenantId=$(echo "$public_project" | jq -r 'select(.tenantId != null) | .tenantId') + local mlPackage_owned_by_projectId=$(echo "$public_project" | jq -r 'select(.id != null) | .id') + local project_name=$(echo "$public_project" | jq -r 'select(.name != null) | .name') - local public_ml_package_version_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$public_ml_package_id"'??pageSize='"$PAGE_SIZE"'&status=PURGED,VALIDATION_FAILED,VALIDATING,THREAT_DETECTED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local public_ml_packages_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages?pageSize='"$PAGE_SIZE"'&status=DEPLOYING,DEPLOYED,UNDEPLOYED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT - if [ ! -z "$public_ml_package_version_under_public_project" ]; - then - resp_code=$(echo "$public_ml_package_version_under_public_project" | jq -r 'select(.respCode != null) | .respCode') + if [ ! -z "$public_ml_packages_under_public_project" ]; then + resp_code=$(echo "$public_projects" | jq -r 'select(.respCode != null) | .respCode') fi - validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $public_ml_package_name" "$red Failed to fetch ML package versions for ml package $public_ml_package_name ... Exiting" + validate_response_from_api $resp_code "200" "Successfully fetched ML packages under project $project_name" "$red Failed to fetch ml packages under project $project_name ... Exiting" - local public_ml_package_version=$(echo "$public_ml_package_version_under_public_project" | jq '.data.mlPackageVersions[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') + local public_ml_package=$(echo "$public_ml_packages_under_public_project" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$public_ml_package_name\")") - if [ ! -z "$public_ml_package_version" ]; - then - echo "$(date) ML package version $major_ml_package_version.$minor_ml_package_version found for ML package $public_ml_package_name" + if [ ! -z "$public_ml_package" ]; then + echo "$(date) ML Package with name $public_ml_package_name found" + local public_ml_package_id=$(echo "$public_ml_package" | jq -r 'select(.id != null) | .id') - # update all required properties for public model - source_ml_package_owned_by_accountId=$mlPackage_owned_by_accountId - source_ml_package_owned_by_tenantId=$mlPackage_owned_by_tenantId - source_ml_package_owned_by_projectId=$mlPackage_owned_by_projectId - source_ml_package_id=$public_ml_package_id - source_ml_package_version_id=$(echo "$public_ml_package_version" | jq -r 'select(.id != null) | .id') + local public_ml_package_version_under_public_project=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$public_ml_package_id"'??pageSize='"$PAGE_SIZE"'&status=PURGED,VALIDATION_FAILED,VALIDATING,THREAT_DETECTED&mlPackageOwnedByAccountId='"$mlPackage_owned_by_accountId"'&mlPackageOwnedByTenantId='"$mlPackage_owned_by_tenantId"'&mlPackageOwnedByProjectId='"$mlPackage_owned_by_projectId"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - # Return, we have found required ML package version in target environment - return - fi - fi -done -} + local resp_code=DEFAULT + if [ ! -z "$public_ml_package_version_under_public_project" ]; then + resp_code=$(echo "$public_ml_package_version_under_public_project" | jq -r 'select(.respCode != null) | .respCode') + fi -function upload_ml_package() { + validate_response_from_api $resp_code "200" "Successfully fetched ML package versions for ML package $public_ml_package_name" "$red Failed to fetch ML package versions for ml package $public_ml_package_name ... Exiting" -# Fetch tenant details -get_tenant_details + local public_ml_package_version=$(echo "$public_ml_package_version_under_public_project" | jq '.data.mlPackageVersions[] | select((.version != null) and (.trainingVersion != null) and (.version=='$major_ml_package_version' and .trainingVersion=='$minor_ml_package_version')) | select(.status == ("UNDEPLOYED", "DEPLOYED", "DEPLOYING"))') -# Fetch Projects -fetch_projects + if [ ! -z "$public_ml_package_version" ]; then + echo "$(date) ML package version $major_ml_package_version.$minor_ml_package_version found for ML package $public_ml_package_name" -# Fetch project by name -local project=$(echo "$projects" | jq -r ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") + # update all required properties for public model + source_ml_package_owned_by_accountId=$mlPackage_owned_by_accountId + source_ml_package_owned_by_tenantId=$mlPackage_owned_by_tenantId + source_ml_package_owned_by_projectId=$mlPackage_owned_by_projectId + source_ml_package_id=$public_ml_package_id + source_ml_package_version_id=$(echo "$public_ml_package_version" | jq -r 'select(.id != null) | .id') -if [ ! -z "$project" ]; -then - echo "$(date) Project by name $PROJECT_NAME fetched successfully" -else - echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" - exit 1 -fi + # Return, we have found required ML package version in target environment + return + fi + fi + done +} -local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') +function upload_ml_package() { -if [ -z "$project_id" ]; -then - echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" - exit 1 -fi + # Fetch tenant details + get_tenant_details -# Fetch list of all ML packages from target environment -fetch_ml_packages $project_id + # Fetch Projects + fetch_projects -# Fetch ML Package by name from list of Packages -local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") + # Fetch project by name + local project=$(echo "$projects" | jq -r ".data.dataList[] | select(.name != null) | select(.name==\"$PROJECT_NAME\")") -if [ ! -z "$ml_package" ]; -then - echo "$yellow $(date) ML package by name $ML_PACKAGE_NAME fetched successfully, New ML version will be uploaded $default" + if [ ! -z "$project" ]; then + echo "$(date) Project by name $PROJECT_NAME fetched successfully" + else + echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" + deregister_client + exit 1 + fi - # Extract ML package Id - ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') + local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') - if [ -z "$ml_package_id" ]; - then - echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + if [ -z "$project_id" ]; then + echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" + deregister_client exit 1 fi - # Upload ML package - upload_ml_package_using_signed_url + # Fetch list of all ML packages from target environment + fetch_ml_packages $project_id - # Validate if ML package metadata is for public package or not - local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + # Fetch ML Package by name from list of Packages + local ml_package=$(echo "$ml_packages" | jq ".data.dataList[] | select(.name != null) | select(.name==\"$ML_PACKAGE_NAME\")") - if [ "$is_public_package" != null ]; - then - echo "$(date) ML package metadata belong to public package" + if [ ! -z "$ml_package" ]; then + echo "$yellow $(date) ML package by name $ML_PACKAGE_NAME fetched successfully, New ML version will be uploaded $default" - local is_ml_package_also_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') + # Extract ML package Id + ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') - if [ "$is_ml_package_also_public" = null ]; - then - echo "$red $(date) ML package should also be public for public packge metadata, please check metadata file ... Exiting ....." + if [ -z "$ml_package_id" ]; then + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + deregister_client exit 1 fi - local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') - extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion + # Upload ML package + upload_ml_package_using_signed_url + + # Validate if ML package metadata is for public package or not + local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + + if [ "$is_public_package" != null ]; then + echo "$(date) ML package metadata belong to public package" + + local is_ml_package_also_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') + + if [ "$is_ml_package_also_public" = null ]; then + echo "$red $(date) ML package should also be public for public packge metadata, please check metadata file ... Exiting ....." + deregister_client + exit 1 + fi - # Validate public ML package metadata extracted successfully - validate_extracted_public_ml_package_metadata + local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') + extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion - # create payload for ML package - create_package_upload_payload $project_id "true" "false" + # Validate public ML package metadata extracted successfully + validate_extracted_public_ml_package_metadata - # Create public ML package - create_public_ml_package_version_metadata $ml_package_id + # create payload for ML package + create_package_upload_payload $project_id "true" "false" + + # Create public ML package + create_public_ml_package_version_metadata $ml_package_id + else + echo "$(date) ML package metadata belong to private package" + + local is_ml_package_not_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') + + if [ "$is_ml_package_not_public" != null ]; then + echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting ....." + deregister_client + exit 1 + fi + + # create payload for package upload + create_package_upload_payload $project_id "false" "false" + + # Crate ML Package version package + create_ml_package_version_metadata $ml_package_id + fi else - echo "$(date) ML package metadata belong to private package" + echo "$yellow $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, new ML package will be uploaded $default" - local is_ml_package_not_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') + # validate unique name for ML package + validate_unique_ml_package_name $ML_PACKAGE_NAME - if [ "$is_ml_package_not_public" != null ]; - then - echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting ....." - exit 1 + # Upload ML package + upload_ml_package_using_signed_url + + # Validate if ML package metadata is for public package or not + local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + + if [ "$is_public_package" != null ]; then + echo "$(date) ML package version metadata belong to public package" + local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') + extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion + + # Validate public ML package metadata extracted successfully + validate_extracted_public_ml_package_metadata + + # Create payload for ML package + create_package_upload_payload $project_id "true" "false" + + # Create public ML package version + create_public_ml_package_metadata + else + echo "$(date) ML package metadata belong to private package" + + # Create payload for ML package + create_package_upload_payload $project_id "false" "true" + + # Create ML package version metadata + create_ml_package_metadata fi + fi +} - # create payload for package upload - create_package_upload_payload $project_id "false" "false" +# Get details of tenant by name +function get_tenant_details() { + local aif_tenant_details=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/tenant/tenantdetails?tenantName='"$TENANT_NAME"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - # Crate ML Package version package - create_ml_package_version_metadata $ml_package_id + local resp_code=DEFAULT + if [ ! -z "$aif_tenant_details" ]; then + resp_code=$(echo "$aif_tenant_details" | jq -r 'select(.respCode != null) | .respCode') fi -else - echo "$yellow $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, new ML package will be uploaded $default" - # validate unique name for ML package - validate_unique_ml_package_name $ML_PACKAGE_NAME + validate_response_from_api $resp_code "200" "Successfully fetched tenant details for tenant $TENANT_NAME" "$red Failed to fetch tenant details for tenant $TENANT_NAME ... Exiting" - # Upload ML package - upload_ml_package_using_signed_url + # Extract tenant Id + TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') - # Validate if ML package metadata is for public package or not - local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') + if [ -z "$TENANT_ID" ]; then + echo "$red $(date) Failed to extract tenant id... Exiting" + deregister_client + exit 1 + fi +} - if [ "$is_public_package" != null ]; - then - echo "$(date) ML package version metadata belong to public package" - local sourcePackageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r '.sourcePackageVersion') - extract_public_package_additional_metadata_from_target_environment $is_public_package $sourcePackageVersion +# Fetch admin token from identity server end point using host tenant +function fetch_identity_server_token_to_register_client() { + echo "$(date) Fetching identity server client registeration token" - # Validate public ML package metadata extracted successfully - validate_extracted_public_ml_package_metadata + # Generate required endpoints + readonly local antif=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/antiforgery/generate" + readonly local login=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/Login" + readonly local tokenUrl=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/ClientAccessToken" - # Create payload for ML package - create_package_upload_payload $project_id "true" "false" + dataLogin='{ + "tenant": "'$HOST_TENANT_NAME'", + "usernameOrEmail": "'$HOST_TENANT_USER_ID_OR_EMAIL'", + "password": "'$HOST_TENANT_PASSWORD'", + "rememberLogin": true + }' - # Create public ML package version - create_public_ml_package_metadata - else - echo "$(date) ML package metadata belong to private package" + cookie_file="cookfile.txt" + cookie_file_new="cookfile_new.txt" + + # Get token and construct the cookie, save the returned token. + curl --silent --fail --show-error -k -c $cookie_file --request GET "$antif" + + # Replace headers + sed 's/XSRF-TOKEN-IS/XSRF-TOKEN/g' $cookie_file >$cookie_file_new + + token=$(cat $cookie_file_new | grep XSRF-TOKEN | cut -f7 -d$'\t') + + # Authentication -> POST to $login_url with the token in header "X-CSRF-Token: $token". + curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -c $cookie_file_new -b $cookie_file_new -d "$dataLogin" --request POST "$login" -H "Content-Type: application/json" - # Create payload for ML package - create_package_upload_payload $project_id "false" "true" + # Fetch Acces token + CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") - # Create ML package version metadata - create_ml_package_metadata + if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then + echo "$(date) $red Failed to generate token to register client ... Existing " + exit 1 fi -fi + + echo "$(date) Successfully fetched client register token" } -# Get details of tenant by name -function get_tenant_details() { -local aif_tenant_details=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/tenant/tenantdetails?tenantName='"$TENANT_NAME"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') +# Fetch access token to call backens server +function fetch_identity_server_access_token() { + echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" + + readonly local access_token_response=$( + curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + -H 'Content-Type: application/x-www-form-urlencoded' \ + --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ + --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ + --data-urlencode "grant_type=client_credentials" + ) + + if [ -z "$access_token_response" ]; then + echo "$(date) $red Failed to generate access token to call backend server ... Existing " + deregister_client + exit 1 + fi -local resp_code=DEFAULT -if [ ! -z "$aif_tenant_details" ]; -then - resp_code=$(echo "$aif_tenant_details" | jq -r 'select(.respCode != null) | .respCode') -fi + ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') -validate_response_from_api $resp_code "200" "Successfully fetched tenant details for tenant $TENANT_NAME" "$red Failed to fetch tenant details for tenant $TENANT_NAME ... Exiting" + if [ -z "$ACCESS_TOKEN" ]; then + echo "$(date) $red Failed to extract access token ... Existing " + deregister_client + exit 1 + fi + + echo "$(date) Successfully fetched access token to call backend server ... Existing " +} + +function deregister_client() { + echo "$(date) Deregistering client from $IDENTITY_SERVER_ENDPOINT with name $IS_AIFABRIC_CLIENT_NAME" + curl -k -i --silent --fail --show-error -X DELETE "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client/$IS_AIFABRIC_CLIENT_ID" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" +} + +# Register client and fetch Access token +function register_client_and_fetch_access_token() { -# Extract tenant Id -TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') + readonly IS_AIFABRIC_CLIENT_ID="aifabric-"$(openssl rand -hex 10) + readonly IS_AIFABRIC_CLIENT_SECRET=$(openssl rand -hex 32) + readonly IS_AIFABRIC_CLIENT_NAME="aifabric-"$(openssl rand -hex 10) -if [ -z "$TENANT_ID" ]; -then - echo "$red $(date) Failed to extract tenant id... Exiting" - exit 1 -fi + # Fetch admin token + fetch_identity_server_token_to_register_client + + # Register client + echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" + + local client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + + if [ -z "$client_creation_response" ]; then + echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting" + exit 1 + fi + + # Fetch access token authorize backend server call + fetch_identity_server_access_token } # Valiate if ML package name is unique acros all projects in target environment # $1 - ML package name function validate_unique_ml_package_name() { -echo "$(date) Validating uniqueness of ML package name" -local ml_package_name=$1 -local is_unique_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/search?name='"$ml_package_name"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + echo "$(date) Validating uniqueness of ML package name" + local ml_package_name=$1 + local is_unique_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/search?name='"$ml_package_name"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') -if [ -z "$is_unique_ml_package" ]; -then - echo "$red $(date) ML package with name $1 alreday exits in target enviornment, can't create new ML package ... Exiting" - exit 1 -fi + if [ -z "$is_unique_ml_package" ]; then + echo "$red $(date) ML package with name $1 alreday exits in target enviornment, can't create new ML package ... Exiting" + deregister_client + exit 1 + fi } function validate_extracted_public_ml_package_metadata() { -if [[ -z $source_ml_package_owned_by_accountId || -z $source_ml_package_owned_by_tenantId || -z $source_ml_package_owned_by_projectId || -z $source_ml_package_id || -z $source_ml_package_version_id ]]; -then - echo "$red $(date) Some of ML package metadata is still empty after extration ... Exiting" - exit 1 -fi + if [[ -z $source_ml_package_owned_by_accountId || -z $source_ml_package_owned_by_tenantId || -z $source_ml_package_owned_by_projectId || -z $source_ml_package_id || -z $source_ml_package_version_id ]]; then + echo "$red $(date) Some of ML package metadata is still empty after extration ... Exiting" + deregister_client + exit 1 + fi } # Validate file provided by user exists or not, It may be relative path or absolute path # $1 - File path function validate_file_path() { -if [ ! -f "$1" ]; -then - echo "$red $(date) $1 file does not exist, Please check ... Exiting" - exit 1 -fi + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting" + exit 1 + fi } # Validate dependecny module # $1 - Name of the dependecny module # $2 - Command to validate module function validate_dependency() { -list=$($2) -if [ -z "$list" ]; -then - echo "$red $(date) Please install ******** $1 *********** ... Exiting" - exit 1 -fi + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting" + exit 1 + fi } # Validate input provided by end user function validate_input() { -# Validate file path -validate_file_path $ML_PACKAGE_IMPORT_INPUT_FILE - -readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') -readonly TENANT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.tenantName != null) | .tenantName') -readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') -readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') -readonly ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMajorVersionForPrivatePackage != null) | .mlPackageMajorVersionForPrivatePackage') -readonly ACCESS_TOKEN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.accessToken != null) | .accessToken') -readonly ML_PACKAGE_ZIP_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageZipFilePath != null) | .mlPackageZipFilePath') -readonly ML_PACKAGE_METADATA_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMetadataFilePath != null) | .mlPackageMetadataFilePath') - -if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ACCESS_TOKEN || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH || -z TENANT_NAME ]]; -then - echo "$red $(date) Input is invalid or missing, Please check ... Exiting" - exit 1 -fi + # Validate file path + validate_file_path $ML_PACKAGE_IMPORT_INPUT_FILE + + readonly INGRESS_HOST_OR_FQDN=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') + readonly TENANT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.tenantName != null) | .tenantName') + readonly PROJECT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.projectName != null) | .projectName') + readonly ML_PACKAGE_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageName != null) | .mlPackageName') + readonly IDENTITY_SERVER_ENDPOINT=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.identityServerEndPoint != null) | .identityServerEndPoint') + readonly HOST_TENANT_NAME=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostTenantName != null) | .hostTenantName') + readonly HOST_TENANT_USER_ID_OR_EMAIL=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostTenantIdOrEmailId != null) | .hostTenantIdOrEmailId') + readonly HOST_TENANT_PASSWORD=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.hostTenantPassword != null) | .hostTenantPassword') + readonly ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMajorVersionForPrivatePackage != null) | .mlPackageMajorVersionForPrivatePackage') + readonly ML_PACKAGE_ZIP_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageZipFilePath != null) | .mlPackageZipFilePath') + readonly ML_PACKAGE_METADATA_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMetadataFilePath != null) | .mlPackageMetadataFilePath') + + if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH || -z TENANT_NAME || -z IDENTITY_SERVER_ENDPOINT || -z HOST_TENANT_NAME || -z HOST_TENANT_USER_ID_OR_EMAIL || -z HOST_TENANT_PASSWORD ]]; then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + exit 1 + fi -validate_file_path $ML_PACKAGE_ZIP_FILE_PATH -validate_file_path $ML_PACKAGE_METADATA_FILE_PATH + validate_file_path $ML_PACKAGE_ZIP_FILE_PATH + validate_file_path $ML_PACKAGE_METADATA_FILE_PATH -echo "$(date) Successfully validated user input" + echo "$(date) Successfully validated user input" } # Validate required modules exits in target setup function validate_setup() { -validate_dependency curl "curl --version" -validate_dependency jq "jq --version" -echo "$(date) Successfully validated required dependecies" + validate_dependency curl "curl --version" + validate_dependency jq "jq --version" + echo "$(date) Successfully validated required dependecies" } # Validate Setup @@ -542,7 +625,13 @@ validate_setup # Validate Input validate_input +# Register Client and fetch access token +register_client_and_fetch_access_token + # Upload requested ML package upload_ml_package +# Register client +deregister_client + echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment" From 2385f848cd21239c06d81571c0d868a13a88484d Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Mon, 18 Jan 2021 14:21:51 +0530 Subject: [PATCH 018/267] Added Minor changes --- platform/onebox/backup_and_restore/export.sh | 38 +++++++++--------- platform/onebox/backup_and_restore/import.sh | 42 ++++++++++---------- 2 files changed, 40 insertions(+), 40 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 037c60a2..64991085 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -37,11 +37,11 @@ function validate_response_from_api() { if [ $1 = $2 ]; then echo "$(date) $3" elif [ "$1" = "DEFAULT" ]; then - echo "$red $(date) Please validate access token or check internet. If fine check curl status code ... Exiting" + echo "$red $(date) Please validate access token or check internet. If fine check curl status code ... Exiting $default" deregister_client exit 1 else - echo "$4 $(date)" + echo "$4 $(date) $default" deregister_client exit 1 fi @@ -58,7 +58,7 @@ function download_ml_package_using_signedUrl() { curl --progress-bar -L -k -o $ml_package $signed_url if [ $? -ne 0 ]; then - echo "$red $(date) Failed to download ML package" + echo "$red $(date) Failed to download ML package $default" remove_directory deregister_client exit 1 @@ -149,7 +149,7 @@ function download_ml_package() { if [ ! -z "$project" ]; then echo "$(date) Project by name $PROJECT_NAME fetched successfully" else - echo "$red $(date) Failed to find project by name $PROJECT_NAME, Please check Project Name ... Exiting" + echo "$red $(date) Failed to find project by name $PROJECT_NAME, Please check Project Name ... Exiting $default" deregister_client exit 1 fi @@ -157,7 +157,7 @@ function download_ml_package() { local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') if [ -z "$project_id" ]; then - echo "$red $(date) Failed to extract project id from list of projects ... Exiting" + echo "$red $(date) Failed to extract project id from list of projects ... Exiting $default" deregister_client exit 1 fi @@ -171,7 +171,7 @@ function download_ml_package() { if [ ! -z "$ml_package" ]; then echo "$(date) ML package by name $ML_PACKAGE_NAME fetched successfully" else - echo "$red $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, Please check ML Package name ... Exiting" + echo "$red $(date) Failed to find ML Package by name $ML_PACKAGE_NAME, Please check ML Package name ... Exiting $default" deregister_client exit 1 fi @@ -180,7 +180,7 @@ function download_ml_package() { ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') if [ -z "$ml_package_id" ]; then - echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting $default" deregister_client exit 1 fi @@ -198,7 +198,7 @@ function download_ml_package() { if [ ! -z "$ml_package_version" ]; then echo "$(date) ML package verison $ML_PACKAGE_VERSION fetched successfully" else - echo "$red $(date) Failed to fetch ML Package version $ML_PACKAGE_VERSION for ML package $ML_PACKAGE_NAME in status [UNDEPLOYED, DEPLOYED, DEPLOYING] in project $PROJECT_NAME... Exiting" + echo "$red $(date) Failed to fetch ML Package version $ML_PACKAGE_VERSION for ML package $ML_PACKAGE_NAME in status [UNDEPLOYED, DEPLOYED, DEPLOYING] in project $PROJECT_NAME... Exiting $default" deregister_client exit 1 fi @@ -207,7 +207,7 @@ function download_ml_package() { local ml_package_version_content_uri=$(echo "$ml_package_version" | jq 'select(.contentUri != null) | .contentUri') if [ -z "$ml_package_version_content_uri" ]; then - echo "$red $(date) We can only download version and trained packages, not cloned version, please verify ML package version ... Exiting !!!" + echo "$red $(date) We can only download version and trained packages, not cloned version, please verify ML package version ... Exiting $default" deregister_client exit 1 fi @@ -227,7 +227,7 @@ function download_ml_package() { signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') if [ -z "$signed_url" ]; then - echo "$red $(date) Failed to extract signed url ... Exiting" + echo "$red $(date) Failed to extract signed url ... Exiting $default" deregister_client exit 1 fi @@ -257,7 +257,7 @@ function get_tenant_details() { TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') if [ -z "$TENANT_ID" ]; then - echo "$red $(date) Failed to extract tenant id... Exiting" + echo "$red $(date) Failed to extract tenant id... Exiting $default" deregister_client exit 1 fi @@ -297,7 +297,7 @@ function fetch_identity_server_token_to_register_client() { CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then - echo "$(date) $red Failed to generate token to register client ... Existing " + echo "$(date) $red Failed to generate token to register client ... Existing $default" exit 1 fi } @@ -315,7 +315,7 @@ function fetch_identity_server_access_token() { ) if [ -z "$access_token_response" ]; then - echo "$(date) $red Failed to generate access token to call backend server ... Existing " + echo "$(date) $red Failed to generate access token to call backend server ... Existing $default" deregister_client exit 1 fi @@ -323,7 +323,7 @@ function fetch_identity_server_access_token() { ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') if [ -z "$ACCESS_TOKEN" ]; then - echo "$(date) $red Failed to extract access token ... Existing " + echo "$(date) $red Failed to extract access token ... Existing $default" deregister_client exit 1 fi @@ -352,7 +352,7 @@ function register_client_and_fetch_access_token() { client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") if [ -z "$client_creation_response" ]; then - echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting" + echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" exit 1 fi @@ -364,7 +364,7 @@ function register_client_and_fetch_access_token() { # $1 - File path function validate_file_path() { if [ ! -f "$1" ]; then - echo "$red $(date) $1 file does not exist, Please check ... Exiting" + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" exit 1 fi } @@ -386,7 +386,7 @@ function validate_input() { readonly HOST_TENANT_PASSWORD=$(cat $ML_PACKAGE_EXPORT_INPUT_FILE | jq -r 'select(.hostTenantPassword != null) | .hostTenantPassword') if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_VERSION || -z TENANT_NAME || -z IDENTITY_SERVER_ENDPOINT || -z HOST_TENANT_NAME || -z HOST_TENANT_USER_ID_OR_EMAIL || -z HOST_TENANT_PASSWORD ]]; then - echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" exit 1 fi @@ -399,7 +399,7 @@ function validate_input() { function validate_dependency() { list=$($2) if [ -z "$list" ]; then - echo "$red $(date) Please install ******** $1 *********** ... Exiting" + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi } @@ -438,4 +438,4 @@ download_ml_package # Register client deregister_client -echo "$green $(date) Successfully downloaded $ML_PACKAGE_NAME V$ML_PACKAGE_VERSION in [$(pwd)] directory" +echo "$green $(date) Successfully downloaded $ML_PACKAGE_NAME V$ML_PACKAGE_VERSION in [$(pwd)] directory $default" diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 142b2397..52b70441 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -46,11 +46,11 @@ function validate_response_from_api() { if [ $1 = $2 ]; then echo "$(date) $3" elif [ "$1" = "DEFAULT" ]; then - echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting" + echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting $default" deregister_client exit 1 else - echo "$(date) $4" + echo "$(date) $4 $default" deregister_client exit 1 fi @@ -121,7 +121,7 @@ function create_ml_package_metadata() { # $1- Error message function validate_last_command_executed_succesfully() { if [ $? -ne 0 ]; then - echo "$red $(date) $1" + echo "$red $(date) $1 $default" deregister_client exit 1 fi @@ -159,7 +159,7 @@ function upload_ml_package_using_signed_url() { signed_url=$(echo "$generated_signed_url" | jq -r 'select(.data != null) | .data' | jq -r 'select(.url != null) | .url') if [ -z "$signed_url" ]; then - echo "$red $(date) Failed to extract signed url ... Exiting" + echo "$red $(date) Failed to extract signed url ... Exiting $default" deregister_client exit 1 fi @@ -306,7 +306,7 @@ function upload_ml_package() { if [ ! -z "$project" ]; then echo "$(date) Project by name $PROJECT_NAME fetched successfully" else - echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting" + echo "$red $(date) Failed to project by name $PROJECT_NAME, Please check Project Name ... Exiting $default" deregister_client exit 1 fi @@ -314,7 +314,7 @@ function upload_ml_package() { local project_id=$(echo "$project" | jq -r 'select(.id != null) | .id') if [ -z "$project_id" ]; then - echo "$red $(date) Failed to extract Project id from list of projects ... Exiting" + echo "$red $(date) Failed to extract Project id from list of projects ... Exiting $default" deregister_client exit 1 fi @@ -332,7 +332,7 @@ function upload_ml_package() { ml_package_id=$(echo "$ml_package" | jq -r 'select(.id != null) | .id') if [ -z "$ml_package_id" ]; then - echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting" + echo "$red $(date) Failed to extract ML package id from list of ML Packages ... Exiting $default" deregister_client exit 1 fi @@ -349,7 +349,7 @@ function upload_ml_package() { local is_ml_package_also_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') if [ "$is_ml_package_also_public" = null ]; then - echo "$red $(date) ML package should also be public for public packge metadata, please check metadata file ... Exiting ....." + echo "$red $(date) ML package should also be public for public packge metadata, please check metadata file ... Exiting $default" deregister_client exit 1 fi @@ -371,7 +371,7 @@ function upload_ml_package() { local is_ml_package_not_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') if [ "$is_ml_package_not_public" != null ]; then - echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting ....." + echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting $default" deregister_client exit 1 fi @@ -434,7 +434,7 @@ function get_tenant_details() { TENANT_ID=$(echo "$aif_tenant_details" | jq -r 'select(.data.provisionedTenantId != null) | .data.provisionedTenantId') if [ -z "$TENANT_ID" ]; then - echo "$red $(date) Failed to extract tenant id... Exiting" + echo "$red $(date) Failed to extract tenant id... Exiting $default" deregister_client exit 1 fi @@ -474,7 +474,7 @@ function fetch_identity_server_token_to_register_client() { CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then - echo "$(date) $red Failed to generate token to register client ... Existing " + echo "$(date) $red Failed to generate token to register client ... Existing $default" exit 1 fi @@ -494,7 +494,7 @@ function fetch_identity_server_access_token() { ) if [ -z "$access_token_response" ]; then - echo "$(date) $red Failed to generate access token to call backend server ... Existing " + echo "$(date) $red Failed to generate access token to call backend server ... Existing $default" deregister_client exit 1 fi @@ -502,7 +502,7 @@ function fetch_identity_server_access_token() { ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') if [ -z "$ACCESS_TOKEN" ]; then - echo "$(date) $red Failed to extract access token ... Existing " + echo "$(date) $red Failed to extract access token ... Existing $default" deregister_client exit 1 fi @@ -531,7 +531,7 @@ function register_client_and_fetch_access_token() { local client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") if [ -z "$client_creation_response" ]; then - echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting" + echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" exit 1 fi @@ -545,10 +545,10 @@ function validate_unique_ml_package_name() { echo "$(date) Validating uniqueness of ML package name" local ml_package_name=$1 - local is_unique_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/search?name='"$ml_package_name"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + local is_unique_ml_package=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/search?name='"$ml_package_name"'' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') if [ -z "$is_unique_ml_package" ]; then - echo "$red $(date) ML package with name $1 alreday exits in target enviornment, can't create new ML package ... Exiting" + echo "$red $(date) ML package with name $1 alreday exits in target enviornment, can't create new ML package ... Exiting $default" deregister_client exit 1 fi @@ -557,7 +557,7 @@ function validate_unique_ml_package_name() { function validate_extracted_public_ml_package_metadata() { if [[ -z $source_ml_package_owned_by_accountId || -z $source_ml_package_owned_by_tenantId || -z $source_ml_package_owned_by_projectId || -z $source_ml_package_id || -z $source_ml_package_version_id ]]; then - echo "$red $(date) Some of ML package metadata is still empty after extration ... Exiting" + echo "$red $(date) Some of ML package metadata is still empty after extration ... Exiting $default" deregister_client exit 1 fi @@ -567,7 +567,7 @@ function validate_extracted_public_ml_package_metadata() { # $1 - File path function validate_file_path() { if [ ! -f "$1" ]; then - echo "$red $(date) $1 file does not exist, Please check ... Exiting" + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" exit 1 fi } @@ -578,7 +578,7 @@ function validate_file_path() { function validate_dependency() { list=$($2) if [ -z "$list" ]; then - echo "$red $(date) Please install ******** $1 *********** ... Exiting" + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi } @@ -602,7 +602,7 @@ function validate_input() { readonly ML_PACKAGE_METADATA_FILE_PATH=$(cat $ML_PACKAGE_IMPORT_INPUT_FILE | jq -r 'select(.mlPackageMetadataFilePath != null) | .mlPackageMetadataFilePath') if [[ -z $INGRESS_HOST_OR_FQDN || -z $PROJECT_NAME || -z $ML_PACKAGE_NAME || -z $ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE || -z $ML_PACKAGE_ZIP_FILE_PATH || -z $ML_PACKAGE_METADATA_FILE_PATH || -z TENANT_NAME || -z IDENTITY_SERVER_ENDPOINT || -z HOST_TENANT_NAME || -z HOST_TENANT_USER_ID_OR_EMAIL || -z HOST_TENANT_PASSWORD ]]; then - echo "$red $(date) Input is invalid or missing, Please check ... Exiting" + echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" exit 1 fi @@ -634,4 +634,4 @@ upload_ml_package # Register client deregister_client -echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment" +echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment $default" From 6c58a77785dc4687296a6dfa56496342729a5296 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Mon, 18 Jan 2021 17:01:07 +0530 Subject: [PATCH 019/267] add indian invoices v4 --- metadata/IndianInvoices__4__metadata.json | 23 +++++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/IndianInvoices__4__metadata.json diff --git a/metadata/IndianInvoices__4__metadata.json b/metadata/IndianInvoices__4__metadata.json new file mode 100644 index 00000000..fc3bacc9 --- /dev/null +++ b/metadata/IndianInvoices__4__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 20.10.4", + "cpu": 0, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/indianinvoices:4" +} From 3750da5edc5390ff8f07798a22a9d91b1bf81a46 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Mon, 18 Jan 2021 17:03:17 +0530 Subject: [PATCH 020/267] correct version --- metadata/IndianInvoices__4__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/IndianInvoices__4__metadata.json b/metadata/IndianInvoices__4__metadata.json index fc3bacc9..7cdec0ac 100644 --- a/metadata/IndianInvoices__4__metadata.json +++ b/metadata/IndianInvoices__4__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", + "changeLog": "Model: 20.11.3", "cpu": 0, "inputType": "JSON", "displayName": "IndianInvoices", From 4efbb37f0c47e8687b0e43bd690ce9aecc4fb268 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Mon, 18 Jan 2021 19:15:53 +0530 Subject: [PATCH 021/267] add dococr v2 --- metadata/UiPathDocumentOCR__2__metadata.json | 23 ++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/UiPathDocumentOCR__2__metadata.json diff --git a/metadata/UiPathDocumentOCR__2__metadata.json b/metadata/UiPathDocumentOCR__2__metadata.json new file mode 100644 index 00000000..a750dd5a --- /dev/null +++ b/metadata/UiPathDocumentOCR__2__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "Release v2020.12.2", + "cpu": 0, + "description": "Machine Learning model for extracting text from Documents. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:2" +} \ No newline at end of file From 6d9142ee3757af99646ac1069ff629aeb25cd688 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Thu, 21 Jan 2021 14:18:09 +0530 Subject: [PATCH 022/267] Change spellings --- platform/onebox/backup_and_restore/export.sh | 8 ++++---- platform/onebox/backup_and_restore/import.sh | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 64991085..84093563 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -297,7 +297,7 @@ function fetch_identity_server_token_to_register_client() { CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then - echo "$(date) $red Failed to generate token to register client ... Existing $default" + echo "$(date) $red Failed to generate token to register client ... Exiting $default" exit 1 fi } @@ -315,7 +315,7 @@ function fetch_identity_server_access_token() { ) if [ -z "$access_token_response" ]; then - echo "$(date) $red Failed to generate access token to call backend server ... Existing $default" + echo "$(date) $red Failed to generate access token to call backend server ... Exiting $default" deregister_client exit 1 fi @@ -323,12 +323,12 @@ function fetch_identity_server_access_token() { ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') if [ -z "$ACCESS_TOKEN" ]; then - echo "$(date) $red Failed to extract access token ... Existing $default" + echo "$(date) $red Failed to extract access token ... Exiting $default" deregister_client exit 1 fi - echo "$(date) Successfully fetched access token to call backend server ... Existing " + echo "$(date) Successfully fetched access token to call backend server ... Exiting " } function deregister_client() { diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 52b70441..8ab208fa 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -474,7 +474,7 @@ function fetch_identity_server_token_to_register_client() { CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then - echo "$(date) $red Failed to generate token to register client ... Existing $default" + echo "$(date) $red Failed to generate token to register client ... Exiting $default" exit 1 fi @@ -494,7 +494,7 @@ function fetch_identity_server_access_token() { ) if [ -z "$access_token_response" ]; then - echo "$(date) $red Failed to generate access token to call backend server ... Existing $default" + echo "$(date) $red Failed to generate access token to call backend server ... Exiting $default" deregister_client exit 1 fi @@ -502,12 +502,12 @@ function fetch_identity_server_access_token() { ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') if [ -z "$ACCESS_TOKEN" ]; then - echo "$(date) $red Failed to extract access token ... Existing $default" + echo "$(date) $red Failed to extract access token ... Exiting $default" deregister_client exit 1 fi - echo "$(date) Successfully fetched access token to call backend server ... Existing " + echo "$(date) Successfully fetched access token to call backend server " } function deregister_client() { From 009216391b20efb998bb4692a5f0ffbec0bef0d1 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 21 Jan 2021 17:26:21 +0530 Subject: [PATCH 023/267] add backup and restore scripts for ceph --- .../onebox/backup_and_restore/ceph/README.md | 34 ++++++++++ .../onebox/backup_and_restore/ceph/export.sh | 62 +++++++++++++++++ .../ceph/get-credentials.sh | 28 ++++++++ .../onebox/backup_and_restore/ceph/import.sh | 66 +++++++++++++++++++ 4 files changed, 190 insertions(+) create mode 100644 platform/onebox/backup_and_restore/ceph/README.md create mode 100644 platform/onebox/backup_and_restore/ceph/export.sh create mode 100644 platform/onebox/backup_and_restore/ceph/get-credentials.sh create mode 100644 platform/onebox/backup_and_restore/ceph/import.sh diff --git a/platform/onebox/backup_and_restore/ceph/README.md b/platform/onebox/backup_and_restore/ceph/README.md new file mode 100644 index 00000000..e477b49f --- /dev/null +++ b/platform/onebox/backup_and_restore/ceph/README.md @@ -0,0 +1,34 @@ +# Ceph Backup-Restore + + +## Purpose +To provide backup and restore scripts for object storage in ceph to handle DR scenarios. +This backs up: +* Packages (zips) +* Datasets +* Pipeline Artifacts/Logs +... + + +## Requirements +The Machine where backup/restore runs needs the following: +* Access to AIF machine +* aws s3, s3cmd, jq to be installed +* User logged in with permission to run the script and access to above tools + + +## Usage +* Run get-credentials.sh on AIF machine. It generates a file storage-creds.json. Copy it over to the backup/restore VM. +* [Optionally] Move the credentials to some cluster manager and make changes to the scripts to read from there + +### For Backup +``` +./backup.sh +``` +It creates a folder /ceph which contains 1 folder per bucket containing all the blobs of that bucket + +### For Restore +``` +./restore.sh +``` +This looks for a folder ceph inside basePath, creates a bucket per folder inside ceph and then uploads all blobs diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh new file mode 100644 index 00000000..f91ffe15 --- /dev/null +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -0,0 +1,62 @@ +#!/bin/bash + +: ' +This scipt will export all data stored in blob storage from target environments. +# $1 - json file with credentials +# $2 - path to export +Script will generate folders like path/ceph/bucket1 path/ceph/bucket2 each containing data from 1 bucket +[Script Version -> 21.4] +' +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Starting sync of object storage to local disk $default" + +readonly CREDENTIALS_FILE=$1 +readonly BASE_PATH=$2 + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +function initialize_variables() { + # Validate file path + validate_file_path $CREDENTIALS_FILE + + readonly AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') + readonly AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') + readonly AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') + readonly AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') + readonly FOLDER=${BASE_PATH}/ceph/ +} + +function list_buckets() { + temp_buckets=$(aws s3 --endpoint-url http://$AWS_ENDPOINT --no-verify-ssl ls) + readonly BUCKETS=${temp_buckets} +} + +function download_blobs() { + while read line; + do + echo "Response line: '${line}'" + BUCKET_NAME=$(echo ${line}| cut -d" " -f3) + echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + mkdir -p ${FOLDER}${BUCKET_NAME} + aws s3 --endpoint-url http://$AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME} ${FOLDER}${BUCKET_NAME} --delete + echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + done <<< "$BUCKETS" +} + + +initialize_variables + +list_buckets + +download_blobs diff --git a/platform/onebox/backup_and_restore/ceph/get-credentials.sh b/platform/onebox/backup_and_restore/ceph/get-credentials.sh new file mode 100644 index 00000000..8ad4851d --- /dev/null +++ b/platform/onebox/backup_and_restore/ceph/get-credentials.sh @@ -0,0 +1,28 @@ +#!/bin/bash + +: ' +This scipt will generate json file for creds to be used with import export +Script will generate file storage-creds.json +Run it from the VM running aifabric. +Use it as it is [insecure] or transfer to some credsManager and then change backup/restore scripts to fetch from credsmanager instead of json file +[Script Version -> 21.4] +' +function initialize_variables() { + OBJECT_GATEWAY_INTERNAL_HOST=$(kubectl -n istio-system get svc istio-ingressgateway -o jsonpath="{.spec.clusterIP}") + OBJECT_GATEWAY_INTERNAL_PORT=31443 + + STORAGE_ACCESS_KEY=$(kubectl -n aifabric get secret storage-secrets -o json | jq '.data.OBJECT_STORAGE_ACCESSKEY' | sed -e 's/^"//' -e 's/"$//' | base64 -d) + STORAGE_SECRET_KEY=$(kubectl -n aifabric get secret storage-secrets -o json | jq '.data.OBJECT_STORAGE_SECRETKEY' | sed -e 's/^"//' -e 's/"$//' | base64 -d) + + readonly AWS_HOST=$OBJECT_GATEWAY_INTERNAL_HOST + readonly AWS_ENDPOINT="https://${OBJECT_GATEWAY_INTERNAL_HOST}:${OBJECT_GATEWAY_INTERNAL_PORT}" + readonly AWS_ACCESS_KEY_ID=$STORAGE_ACCESS_KEY + readonly AWS_SECRET_ACCESS_KEY=$STORAGE_SECRET_KEY +} + +function generate_json() { + echo '{"AWS_HOST": "'$AWS_HOST'", "AWS_ENDPOINT": "'$AWS_ENDPOINT'", "AWS_ACCESS_KEY_ID": "'$AWS_ACCESS_KEY_ID'", "AWS_SECRET_ACCESS_KEY": "'$AWS_SECRET_ACCESS_KEY'"}' > storage-creds.json +} + +initialize_variables +generate_json \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh new file mode 100644 index 00000000..74c9031d --- /dev/null +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -0,0 +1,66 @@ +#!/bin/bash + +: ' +This scipt will import all data stored at a path to blob storage in target environments. +# $1 - path to export +Script will look for folders like path/ceph/bucket1 path/ceph/bucket2 each containing data from 1 bucket and create bucket and upload +[Script Version -> 21.4] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Starting sync of object storage to local disk $default" + +readonly CREDENTIALS_FILE=$1 +readonly BASE_PATH=$2 + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +function initialize_variables() { + # Validate file path + validate_file_path $CREDENTIALS_FILE + + readonly AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') + readonly AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') + readonly AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') + readonly AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') + readonly FOLDER=${BASE_PATH}/ceph/ +} + +function list_buckets() { + cd $FOLDER + dirs=$(find . -maxdepth 1 -mindepth 1 -type d -printf '%f\n') + readonly DIRS=${dirs} +} + +function upload_blobs() { + while read line; + do echo "Response line: '${line}'" + BUCKET_NAME=${line} + # create bucket + echo "$green $(date) Creating bucket ${BUCKET_NAME} $default" + s3cmd mb --host=${AWS_HOST} --host-bucket= s3://${BUCKET_NAME} --no-ssl + # sync folder to bucket + echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + aws s3 --endpoint-url http://${AWS_ENDPOINT} --no-verify-ssl sync ${BUCKET_NAME}/ s3://${BUCKET_NAME} + echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + done <<< "$DIRS"; +} + + +initialize_variables + +list_buckets + +upload_blobs + From 0cff3033957efd376daacab9aea0ace7e5a0defc Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 21 Jan 2021 21:29:27 +0530 Subject: [PATCH 024/267] corrected exports --- platform/onebox/backup_and_restore/ceph/README.md | 4 ++-- platform/onebox/backup_and_restore/ceph/export.sh | 12 ++++++------ .../backup_and_restore/ceph/get-credentials.sh | 2 +- platform/onebox/backup_and_restore/ceph/import.sh | 2 +- 4 files changed, 10 insertions(+), 10 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/README.md b/platform/onebox/backup_and_restore/ceph/README.md index e477b49f..e27fc5af 100644 --- a/platform/onebox/backup_and_restore/ceph/README.md +++ b/platform/onebox/backup_and_restore/ceph/README.md @@ -12,8 +12,8 @@ This backs up: ## Requirements The Machine where backup/restore runs needs the following: -* Access to AIF machine -* aws s3, s3cmd, jq to be installed +* Access to AIF machine (public ip address can be obtained via dig) +* aws s3, s3cmd, jq to be installed, e.g. on Ubuntu ```sudo apt install -y jq awscli s3cmd``` * User logged in with permission to run the script and access to above tools diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index f91ffe15..cc38cf6e 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -30,15 +30,15 @@ function initialize_variables() { # Validate file path validate_file_path $CREDENTIALS_FILE - readonly AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') - readonly AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') - readonly AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') - readonly AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') + export AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') + export AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') + export AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') + export AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') readonly FOLDER=${BASE_PATH}/ceph/ } function list_buckets() { - temp_buckets=$(aws s3 --endpoint-url http://$AWS_ENDPOINT --no-verify-ssl ls) + temp_buckets=$(aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl ls) readonly BUCKETS=${temp_buckets} } @@ -49,7 +49,7 @@ function download_blobs() { BUCKET_NAME=$(echo ${line}| cut -d" " -f3) echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" mkdir -p ${FOLDER}${BUCKET_NAME} - aws s3 --endpoint-url http://$AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME} ${FOLDER}${BUCKET_NAME} --delete + aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME} ${FOLDER}${BUCKET_NAME} --delete echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" done <<< "$BUCKETS" } diff --git a/platform/onebox/backup_and_restore/ceph/get-credentials.sh b/platform/onebox/backup_and_restore/ceph/get-credentials.sh index 8ad4851d..11e59495 100644 --- a/platform/onebox/backup_and_restore/ceph/get-credentials.sh +++ b/platform/onebox/backup_and_restore/ceph/get-credentials.sh @@ -8,7 +8,7 @@ Use it as it is [insecure] or transfer to some credsManager and then change back [Script Version -> 21.4] ' function initialize_variables() { - OBJECT_GATEWAY_INTERNAL_HOST=$(kubectl -n istio-system get svc istio-ingressgateway -o jsonpath="{.spec.clusterIP}") + OBJECT_GATEWAY_INTERNAL_HOST=$(dig +short myip.opendns.com @resolver1.opendns.com) OBJECT_GATEWAY_INTERNAL_PORT=31443 STORAGE_ACCESS_KEY=$(kubectl -n aifabric get secret storage-secrets -o json | jq '.data.OBJECT_STORAGE_ACCESSKEY' | sed -e 's/^"//' -e 's/"$//' | base64 -d) diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index 74c9031d..cbb9338a 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -52,7 +52,7 @@ function upload_blobs() { s3cmd mb --host=${AWS_HOST} --host-bucket= s3://${BUCKET_NAME} --no-ssl # sync folder to bucket echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" - aws s3 --endpoint-url http://${AWS_ENDPOINT} --no-verify-ssl sync ${BUCKET_NAME}/ s3://${BUCKET_NAME} + aws s3 --endpoint-url ${AWS_ENDPOINT} --no-verify-ssl sync ${BUCKET_NAME}/ s3://${BUCKET_NAME} echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" done <<< "$DIRS"; } From b4da4e408236da6d35ecee6d2b71f46267674ce1 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Fri, 22 Jan 2021 01:23:28 +0530 Subject: [PATCH 025/267] add bucket exist check and handle _ --- .../onebox/backup_and_restore/ceph/import.sh | 29 ++++++++++++------- 1 file changed, 18 insertions(+), 11 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index cbb9338a..4124f5a8 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -30,11 +30,12 @@ function initialize_variables() { # Validate file path validate_file_path $CREDENTIALS_FILE - readonly AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') - readonly AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') - readonly AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') - readonly AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') + export AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') + export AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') + export AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') + export AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') readonly FOLDER=${BASE_PATH}/ceph/ + } function list_buckets() { @@ -44,15 +45,21 @@ function list_buckets() { } function upload_blobs() { - while read line; - do echo "Response line: '${line}'" - BUCKET_NAME=${line} - # create bucket - echo "$green $(date) Creating bucket ${BUCKET_NAME} $default" - s3cmd mb --host=${AWS_HOST} --host-bucket= s3://${BUCKET_NAME} --no-ssl + while read dir; + do echo "Processing directory: '${dir}'" + # aws doesn't allow underscores in bucket name + BUCKET_NAME=${dir//_/-} + # create bucket if not exists + local check_bucket=$(s3cmd info --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate -q) + if [ ! -z "$check_bucket" ]; then + echo "$green $(date) Creating bucket ${BUCKET_NAME} $default" + s3cmd mb --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate + else + echo "$yellow $(date) Bucket exists: ${BUCKET_NAME}, skipping $default" + fi # sync folder to bucket echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" - aws s3 --endpoint-url ${AWS_ENDPOINT} --no-verify-ssl sync ${BUCKET_NAME}/ s3://${BUCKET_NAME} + aws s3 --endpoint-url ${AWS_ENDPOINT} --no-verify-ssl --only-show-errors sync ${dir}/ s3://${BUCKET_NAME} echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" done <<< "$DIRS"; } From 482d61f591613600842e528deee7606ce221031f Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Wed, 27 Jan 2021 16:38:31 +0530 Subject: [PATCH 026/267] Added new API changes --- platform/onebox/backup_and_restore/export.sh | 2 +- platform/onebox/backup_and_restore/import.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 84093563..7b943cab 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -244,7 +244,7 @@ function download_ml_package() { # Get details of tenant by name function get_tenant_details() { - echo "Fetching Tenant details for tenant $TENANT_NAME" + echo "$(date) Fetching Tenant details for tenant $TENANT_NAME" local aif_tenant_details=$(curl -k --silent --fail --show-error 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/tenant/tenantdetails?tenantName='"$TENANT_NAME"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') local resp_code=DEFAULT diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 8ab208fa..7b4feeed 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -92,7 +92,7 @@ function create_public_ml_package_version_metadata() { function create_ml_package_version_metadata() { echo "$(date) Creating new ML package version for ML package $ML_PACKAGE_NAME in project $PROJECT_NAME" local ml_package_id=$1 - local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') + local ml_package_version_creation=$(curl --silent --fail --show-error -k 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/mlpackages/'"$ml_package_id"'/versions?mlPackageCreationType=ML_PACKAGE_VERSION_IMPORT' -H 'tenant-id: '"$TENANT_ID"'' -H 'authorization: Bearer '"$ACCESS_TOKEN"'' -H 'content-type: application/json;charset=UTF-8' --data-binary ''"$extractedMetadata"'') local resp_code=DEFAULT if [ ! -z "$ml_package_version_creation" ]; then From c1b76f022fd6584cfdd8b1eaa37a0440d5253b31 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 28 Jan 2021 16:22:46 +0530 Subject: [PATCH 027/267] review comments --- platform/onebox/backup_and_restore/ceph/export.sh | 2 +- .../onebox/backup_and_restore/ceph/get-credentials.sh | 9 +++++---- platform/onebox/backup_and_restore/ceph/import.sh | 3 ++- 3 files changed, 8 insertions(+), 6 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index cc38cf6e..22b87f1f 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -2,7 +2,7 @@ : ' This scipt will export all data stored in blob storage from target environments. -# $1 - json file with credentials +# $1 - json file with credentials, change the script to work with own credential manager # $2 - path to export Script will generate folders like path/ceph/bucket1 path/ceph/bucket2 each containing data from 1 bucket [Script Version -> 21.4] diff --git a/platform/onebox/backup_and_restore/ceph/get-credentials.sh b/platform/onebox/backup_and_restore/ceph/get-credentials.sh index 11e59495..9598af97 100644 --- a/platform/onebox/backup_and_restore/ceph/get-credentials.sh +++ b/platform/onebox/backup_and_restore/ceph/get-credentials.sh @@ -8,14 +8,15 @@ Use it as it is [insecure] or transfer to some credsManager and then change back [Script Version -> 21.4] ' function initialize_variables() { - OBJECT_GATEWAY_INTERNAL_HOST=$(dig +short myip.opendns.com @resolver1.opendns.com) - OBJECT_GATEWAY_INTERNAL_PORT=31443 + # Gets private ip of machine so that it can be connected within the VM + OBJECT_GATEWAY_EXTERNAL_HOST=$(hostname -i) + OBJECT_GATEWAY_EXTERNAL_PORT=31443 STORAGE_ACCESS_KEY=$(kubectl -n aifabric get secret storage-secrets -o json | jq '.data.OBJECT_STORAGE_ACCESSKEY' | sed -e 's/^"//' -e 's/"$//' | base64 -d) STORAGE_SECRET_KEY=$(kubectl -n aifabric get secret storage-secrets -o json | jq '.data.OBJECT_STORAGE_SECRETKEY' | sed -e 's/^"//' -e 's/"$//' | base64 -d) - readonly AWS_HOST=$OBJECT_GATEWAY_INTERNAL_HOST - readonly AWS_ENDPOINT="https://${OBJECT_GATEWAY_INTERNAL_HOST}:${OBJECT_GATEWAY_INTERNAL_PORT}" + readonly AWS_HOST=$OBJECT_GATEWAY_EXTERNAL_HOST + readonly AWS_ENDPOINT="https://${OBJECT_GATEWAY_EXTERNAL_HOST}:${OBJECT_GATEWAY_EXTERNAL_PORT}" readonly AWS_ACCESS_KEY_ID=$STORAGE_ACCESS_KEY readonly AWS_SECRET_ACCESS_KEY=$STORAGE_SECRET_KEY } diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index 4124f5a8..45b029df 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -2,7 +2,8 @@ : ' This scipt will import all data stored at a path to blob storage in target environments. -# $1 - path to export +# $1 - json file with credentials, change the script to work with own credential manager +# $2 - path to import from Script will look for folders like path/ceph/bucket1 path/ceph/bucket2 each containing data from 1 bucket and create bucket and upload [Script Version -> 21.4] ' From 397f45ea4ec012aab2748984d85bd2e8490849f7 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Fri, 29 Jan 2021 16:35:38 +0530 Subject: [PATCH 028/267] add language version 0 to older packages --- metadata/AustralianInvoices__1__metadata.json | 1 + metadata/AustralianInvoices__2__metadata.json | 1 + metadata/AustralianInvoices__3__metadata.json | 1 + metadata/ComputerVision__1__metadata.json | 1 + metadata/DocumentUnderstanding__1__metadata.json | 1 + metadata/DocumentUnderstanding__2__metadata.json | 1 + metadata/DocumentUnderstanding__3__metadata.json | 1 + metadata/DocumentUnderstanding__4__metadata.json | 1 + metadata/EnglishTextClassification__1__metadata.json | 1 + metadata/FormExtractor__1__metadata.json | 1 + metadata/HandwritingRecognition__1__metadata.json | 1 + metadata/IndianInvoices__1__metadata.json | 1 + metadata/IndianInvoices__2__metadata.json | 1 + metadata/IndianInvoices__3__metadata.json | 1 + metadata/IntelligentFormExtractor__1__metadata.json | 1 + metadata/IntelligentKeywordClassifier__1__metadata.json | 1 + metadata/Invoices__1__metadata.json | 1 + metadata/Invoices__2__metadata.json | 1 + metadata/Invoices__3__metadata.json | 1 + metadata/Invoices__4__metadata.json | 1 + metadata/JapaneseInvoices__1__metadata.json | 1 + metadata/PurchaseOrders__1__metadata.json | 1 + metadata/PurchaseOrders__2__metadata.json | 1 + metadata/PurchaseOrders__3__metadata.json | 1 + metadata/QuestionAnswering__1__metadata.json | 1 + metadata/Receipts__1__metadata.json | 1 + metadata/Receipts__2__metadata.json | 1 + metadata/Receipts__3__metadata.json | 1 + metadata/Receipts__4__metadata.json | 1 + metadata/SentimentAnalysis__1__metadata.json | 1 + metadata/TPOTAutoMLClassification__1__metadata.json | 1 + metadata/TextSummarization__1__metadata.json | 1 + metadata/UiPathDocumentOCR__1__metadata.json | 1 + metadata/UtilityBills__1__metadata.json | 1 + metadata/UtilityBills__2__metadata.json | 1 + metadata/UtilityBills__3__metadata.json | 1 + 36 files changed, 36 insertions(+) diff --git a/metadata/AustralianInvoices__1__metadata.json b/metadata/AustralianInvoices__1__metadata.json index 7d19975b..a546ff9a 100644 --- a/metadata/AustralianInvoices__1__metadata.json +++ b/metadata/AustralianInvoices__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/australianinvoices:1" } diff --git a/metadata/AustralianInvoices__2__metadata.json b/metadata/AustralianInvoices__2__metadata.json index 94cec2c2..3be7449b 100644 --- a/metadata/AustralianInvoices__2__metadata.json +++ b/metadata/AustralianInvoices__2__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/australianinvoices:2" } diff --git a/metadata/AustralianInvoices__3__metadata.json b/metadata/AustralianInvoices__3__metadata.json index ca6f3163..afdb8061 100644 --- a/metadata/AustralianInvoices__3__metadata.json +++ b/metadata/AustralianInvoices__3__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/australianinvoices:3" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index 16f49ff6..cf9bedf6 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/computervision:1" } \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__1__metadata.json b/metadata/DocumentUnderstanding__1__metadata.json index 0e56f423..7aeec085 100644 --- a/metadata/DocumentUnderstanding__1__metadata.json +++ b/metadata/DocumentUnderstanding__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/documentunderstanding:1" } diff --git a/metadata/DocumentUnderstanding__2__metadata.json b/metadata/DocumentUnderstanding__2__metadata.json index a59c23e7..02b75224 100644 --- a/metadata/DocumentUnderstanding__2__metadata.json +++ b/metadata/DocumentUnderstanding__2__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/documentunderstanding:2" } diff --git a/metadata/DocumentUnderstanding__3__metadata.json b/metadata/DocumentUnderstanding__3__metadata.json index dea5f0d9..5323951d 100644 --- a/metadata/DocumentUnderstanding__3__metadata.json +++ b/metadata/DocumentUnderstanding__3__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/documentunderstanding:3" } diff --git a/metadata/DocumentUnderstanding__4__metadata.json b/metadata/DocumentUnderstanding__4__metadata.json index d77bc5b5..fd26cdf4 100644 --- a/metadata/DocumentUnderstanding__4__metadata.json +++ b/metadata/DocumentUnderstanding__4__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/documentunderstanding:4" } diff --git a/metadata/EnglishTextClassification__1__metadata.json b/metadata/EnglishTextClassification__1__metadata.json index 911d3606..3cab6d1b 100644 --- a/metadata/EnglishTextClassification__1__metadata.json +++ b/metadata/EnglishTextClassification__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" } diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index 2c2ffc5d..edc65204 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/formextractor:1" } diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json index 167b5b65..80feb5dd 100644 --- a/metadata/HandwritingRecognition__1__metadata.json +++ b/metadata/HandwritingRecognition__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:1" } diff --git a/metadata/IndianInvoices__1__metadata.json b/metadata/IndianInvoices__1__metadata.json index 066f0f41..1275a32c 100644 --- a/metadata/IndianInvoices__1__metadata.json +++ b/metadata/IndianInvoices__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/indianinvoices:1" } diff --git a/metadata/IndianInvoices__2__metadata.json b/metadata/IndianInvoices__2__metadata.json index f734f921..cd7fbec3 100644 --- a/metadata/IndianInvoices__2__metadata.json +++ b/metadata/IndianInvoices__2__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/indianinvoices:2" } diff --git a/metadata/IndianInvoices__3__metadata.json b/metadata/IndianInvoices__3__metadata.json index df81a2d1..c75bbc1e 100644 --- a/metadata/IndianInvoices__3__metadata.json +++ b/metadata/IndianInvoices__3__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/indianinvoices:3" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index be0c39e9..a3424980 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/intelligentformextractor:1" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index 5de5000c..724fe35e 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/intelligentkeywordclassifier:1" } diff --git a/metadata/Invoices__1__metadata.json b/metadata/Invoices__1__metadata.json index 2eac98b1..7a44a0da 100644 --- a/metadata/Invoices__1__metadata.json +++ b/metadata/Invoices__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/invoices:1" } diff --git a/metadata/Invoices__2__metadata.json b/metadata/Invoices__2__metadata.json index abe10e9d..b2439b32 100644 --- a/metadata/Invoices__2__metadata.json +++ b/metadata/Invoices__2__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/invoices:2" } diff --git a/metadata/Invoices__3__metadata.json b/metadata/Invoices__3__metadata.json index 257b01aa..396877c1 100644 --- a/metadata/Invoices__3__metadata.json +++ b/metadata/Invoices__3__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/invoices:3" } diff --git a/metadata/Invoices__4__metadata.json b/metadata/Invoices__4__metadata.json index be0c488c..022d4969 100644 --- a/metadata/Invoices__4__metadata.json +++ b/metadata/Invoices__4__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/invoices:4" } diff --git a/metadata/JapaneseInvoices__1__metadata.json b/metadata/JapaneseInvoices__1__metadata.json index 936aad28..15e517f2 100644 --- a/metadata/JapaneseInvoices__1__metadata.json +++ b/metadata/JapaneseInvoices__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:1" } diff --git a/metadata/PurchaseOrders__1__metadata.json b/metadata/PurchaseOrders__1__metadata.json index 0f750a04..a9cd07c1 100644 --- a/metadata/PurchaseOrders__1__metadata.json +++ b/metadata/PurchaseOrders__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/purchaseorders:1" } diff --git a/metadata/PurchaseOrders__2__metadata.json b/metadata/PurchaseOrders__2__metadata.json index b4c65980..78fbfa35 100644 --- a/metadata/PurchaseOrders__2__metadata.json +++ b/metadata/PurchaseOrders__2__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/purchaseorders:2" } diff --git a/metadata/PurchaseOrders__3__metadata.json b/metadata/PurchaseOrders__3__metadata.json index 9d283484..079c68c8 100644 --- a/metadata/PurchaseOrders__3__metadata.json +++ b/metadata/PurchaseOrders__3__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/purchaseorders:3" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json index 61fe7dfe..f4d7440d 100644 --- a/metadata/QuestionAnswering__1__metadata.json +++ b/metadata/QuestionAnswering__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", "tenantName": "Open-Source Packages", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/questionanswering:1" } diff --git a/metadata/Receipts__1__metadata.json b/metadata/Receipts__1__metadata.json index ee34d956..860d2f1c 100644 --- a/metadata/Receipts__1__metadata.json +++ b/metadata/Receipts__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/receipts:1" } diff --git a/metadata/Receipts__2__metadata.json b/metadata/Receipts__2__metadata.json index 3af3d6e4..bbf11585 100644 --- a/metadata/Receipts__2__metadata.json +++ b/metadata/Receipts__2__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/receipts:2" } diff --git a/metadata/Receipts__3__metadata.json b/metadata/Receipts__3__metadata.json index 36ec0ed2..6cdafe12 100644 --- a/metadata/Receipts__3__metadata.json +++ b/metadata/Receipts__3__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/receipts:3" } diff --git a/metadata/Receipts__4__metadata.json b/metadata/Receipts__4__metadata.json index e4cf370e..05da35ae 100644 --- a/metadata/Receipts__4__metadata.json +++ b/metadata/Receipts__4__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/receipts:4" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json index f1dc3982..5f01edb3 100644 --- a/metadata/SentimentAnalysis__1__metadata.json +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/sentimentanalysis:1" } diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index ae1281e7..be7ef50b 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", "tenantName": "Open-Source Packages", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index 92640fcf..ae1a26a0 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", "tenantName": "Open-Source Packages", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/textsummarization:1" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__1__metadata.json b/metadata/UiPathDocumentOCR__1__metadata.json index f66fc4c3..c03151c9 100644 --- a/metadata/UiPathDocumentOCR__1__metadata.json +++ b/metadata/UiPathDocumentOCR__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:1" } \ No newline at end of file diff --git a/metadata/UtilityBills__1__metadata.json b/metadata/UtilityBills__1__metadata.json index e09deb5d..a108e69c 100644 --- a/metadata/UtilityBills__1__metadata.json +++ b/metadata/UtilityBills__1__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/utilitybills:1" } diff --git a/metadata/UtilityBills__2__metadata.json b/metadata/UtilityBills__2__metadata.json index 6900cef5..a1fa844b 100644 --- a/metadata/UtilityBills__2__metadata.json +++ b/metadata/UtilityBills__2__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/utilitybills:2" } diff --git a/metadata/UtilityBills__3__metadata.json b/metadata/UtilityBills__3__metadata.json index 3bda36ee..9e5c6a0d 100644 --- a/metadata/UtilityBills__3__metadata.json +++ b/metadata/UtilityBills__3__metadata.json @@ -18,5 +18,6 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, "imagePath": "registry.replicated.com/aif-core/utilitybills:3" } From adb07357217f007be10b52ec0203ba29459f1702 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Sat, 30 Jan 2021 11:35:56 +0530 Subject: [PATCH 029/267] Added language version support and maintained backword compatibility --- platform/onebox/backup_and_restore/import.sh | 27 +++++++++++++------- 1 file changed, 18 insertions(+), 9 deletions(-) diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 7b4feeed..49e9bd09 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -134,18 +134,27 @@ function validate_last_command_executed_succesfully() { function create_package_upload_payload() { local project_id=$1 local is_public_package=$2 - local is_private_package_version_upload=$2 + local is_private_package_version_upload=$3 if [ "$is_public_package" = true ]; then extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{description,displayName,inputDescription,mlPackageOwnedByAccountId,mlPackageOwnedByTenantId,mlPackageOwnedByProjectId,sourcePackageId,sourcePackageVersionId,name,outputDescription,settings,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\",displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",mlPackageOwnedByAccountId:\"$source_ml_package_owned_by_accountId\",mlPackageOwnedByTenantId:\"$source_ml_package_owned_by_tenantId\",mlPackageOwnedByProjectId:\"$source_ml_package_owned_by_projectId\",sourcePackageId:\"$source_ml_package_id\",sourcePackageVersionId:\"$source_ml_package_version_id\"}") else - if [ "$is_public_package" = true ]; then - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\"}") + if [ "$is_private_package_version_upload" = false ]; then + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,languageVersion,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\"}") else - extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",version:\"$ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE\"}") + extractedMetadata=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq '{gpu,displayName,name,description,inputDescription,outputDescription,mlPackageLanguage,inputType,languageVersion,retrainable,changeLog,projectId,stagingUri}' | jq -M ". + {name:\"$ML_PACKAGE_NAME\", displayName:\"$ML_PACKAGE_NAME\",projectId:\"$project_id\",stagingUri:\"$signed_url\",version:\"$ML_PACKAGE_MAJOR_VERSION_FOR_PRIVATE_PACKAGE\"}") fi fi + # Check if language version exist for older packages + local isLanguageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r 'select(.languageVersion != null) | .languageVersion') + + # Adding default language version if not exists for backward compatibility + if [ -z "$isLanguageVersion" ]; then + echo "$yellow $(date) Langugae version is null, adding 0 as default language version $default" + extractedMetadata=$(echo $extractedMetadata | jq -M ". + {languageVersion:"0"}") + fi + validate_last_command_executed_succesfully "$red Failed to extract ML package metadata from $ML_PACKAGE_METADATA_FILE_PATH" } @@ -344,7 +353,7 @@ function upload_ml_package() { local is_public_package=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r -e '.sourcePackageName?') if [ "$is_public_package" != null ]; then - echo "$(date) ML package metadata belong to public package" + echo "$(date) ML package version metadata belong to public package" local is_ml_package_also_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') @@ -366,18 +375,18 @@ function upload_ml_package() { # Create public ML package create_public_ml_package_version_metadata $ml_package_id else - echo "$(date) ML package metadata belong to private package" + echo "$(date) ML package version metadata belong to private package" local is_ml_package_not_public=$(echo $ml_package | jq -r -e '.sourcePackageName?') if [ "$is_ml_package_not_public" != null ]; then - echo "$red $(date) ML package metadata should also be public for public package, please check metadata file ... Exiting $default" + echo "$red $(date) ML package metadata should also be non public for non public package, please check metadata file ... Exiting $default" deregister_client exit 1 fi # create payload for package upload - create_package_upload_payload $project_id "false" "false" + create_package_upload_payload $project_id "false" "true" # Crate ML Package version package create_ml_package_version_metadata $ml_package_id @@ -411,7 +420,7 @@ function upload_ml_package() { echo "$(date) ML package metadata belong to private package" # Create payload for ML package - create_package_upload_payload $project_id "false" "true" + create_package_upload_payload $project_id "false" "false" # Create ML package version metadata create_ml_package_metadata From a40676649406593707c829a858cdf01953df769d Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Sat, 30 Jan 2021 21:25:16 +0530 Subject: [PATCH 030/267] Minor Changes --- platform/onebox/backup_and_restore/export.sh | 4 ++-- platform/onebox/backup_and_restore/import.sh | 6 +++--- 2 files changed, 5 insertions(+), 5 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index 7b943cab..af280ca1 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -236,7 +236,7 @@ function download_ml_package() { create_directory echo $ml_package_version >$metadata_file_name.json - echo "$yellow Successfully saved ML package version $ML_PACKAGE_VERSION metadata json file with name $metadata_file_name in [$(pwd)] directory $default" + echo "$yellow $(date) Successfully saved ML package version $ML_PACKAGE_VERSION metadata json file with name $metadata_file_name in [$(pwd)] directory $default" # Download ML package using genearted signed url download_ml_package_using_signedUrl $signed_url $ml_package_zip_file_name @@ -328,7 +328,7 @@ function fetch_identity_server_access_token() { exit 1 fi - echo "$(date) Successfully fetched access token to call backend server ... Exiting " + echo "$(date) Successfully fetched access token to call backend server " } function deregister_client() { diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 49e9bd09..00913059 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -149,9 +149,9 @@ function create_package_upload_payload() { # Check if language version exist for older packages local isLanguageVersion=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r 'select(.languageVersion != null) | .languageVersion') - # Adding default language version if not exists for backward compatibility - if [ -z "$isLanguageVersion" ]; then - echo "$yellow $(date) Langugae version is null, adding 0 as default language version $default" + # Adding default language version for private packages if not exists for backward compatibility + if [[ -z "$isLanguageVersion" && "$is_public_package" == false ]]; then + echo "$yellow $(date) Langugae version is null for private packages, adding 0 as default language version $default" extractedMetadata=$(echo $extractedMetadata | jq -M ". + {languageVersion:"0"}") fi From f94a7eb9a6bbf94291e61f61c30ea1467821f82c Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Mon, 1 Feb 2021 14:53:00 +0530 Subject: [PATCH 031/267] change private ip logic as per rajiv --- platform/onebox/backup_and_restore/ceph/get-credentials.sh | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/platform/onebox/backup_and_restore/ceph/get-credentials.sh b/platform/onebox/backup_and_restore/ceph/get-credentials.sh index 9598af97..38119f5e 100644 --- a/platform/onebox/backup_and_restore/ceph/get-credentials.sh +++ b/platform/onebox/backup_and_restore/ceph/get-credentials.sh @@ -9,7 +9,12 @@ Use it as it is [insecure] or transfer to some credsManager and then change back ' function initialize_variables() { # Gets private ip of machine so that it can be connected within the VM - OBJECT_GATEWAY_EXTERNAL_HOST=$(hostname -i) + # Seems to be set as localhost on some customer machines + #OBJECT_GATEWAY_EXTERNAL_HOST=$(hostname -i) + # Rajiv's suggestion + PRIVATE_ADDRESS=$(ip -o route get to 8.8.8.8 | sed -n 's/.*src \([0-9.]\+\).*/\1/p') + #This is needed on k8s 1.18.x as $PRIVATE_ADDRESS is found to have a newline + OBJECT_GATEWAY_EXTERNAL_HOST=$(echo "$PRIVATE_ADDRESS" | tr -d '\n') OBJECT_GATEWAY_EXTERNAL_PORT=31443 STORAGE_ACCESS_KEY=$(kubectl -n aifabric get secret storage-secrets -o json | jq '.data.OBJECT_STORAGE_ACCESSKEY' | sed -e 's/^"//' -e 's/"$//' | base64 -d) From cf4361016eac07dab5ad30afd6ff2842eecff75a Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Mon, 1 Feb 2021 22:41:03 +0530 Subject: [PATCH 032/267] Enhance usage docs --- platform/onebox/backup_and_restore/export.sh | 14 +++++++------- platform/onebox/backup_and_restore/import.sh | 10 +++++----- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/export.sh index af280ca1..bb765c78 100644 --- a/platform/onebox/backup_and_restore/export.sh +++ b/platform/onebox/backup_and_restore/export.sh @@ -1,19 +1,19 @@ #!/bin/bash : ' -This scipt will download ML package from target environment, expect cloned packages. +This scipt will download ML package from target environment, expect cloned public packages. # $1 - ML package export json file path -[ Structure of ML Package import file with exact key name ] +[ Structure of ML Package export file with exact key name ] - hostOrFQDN: Public end point from where backend service can be accessible - identityServerEndPoint: End point where identity server is hosted - hostTenantName: Host Tenant name registered in identity server - - hostTenantIdOrEmailId: Host tenant id or usetr Id + - hostTenantIdOrEmailId: Host tenant id or email Id - hostTenantPassword: Host tenant password - - tenantName: Name of tenant where ML package import will be carried out - - projectName: Project Name to which ML package will be imported - - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - - mlPackageVersion: Version number which will be downloaded. It should be in format like 3.2 or 3.1 etc + - tenantName: Name of the tenant from where ML package export will be carried out + - projectName: Project Name from where ML package will be exported + - mlPackageName: Name of ML package which will be downloaded from target environment + - mlPackageVersion: ML package version number which will be downloaded. It should be in format like 3.2 or 3.1 etc [Script Version -> 20.10.1.2] ' diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/import.sh index 00913059..25c0db87 100644 --- a/platform/onebox/backup_and_restore/import.sh +++ b/platform/onebox/backup_and_restore/import.sh @@ -8,14 +8,14 @@ This scipt will upload ML package to target environment. - hostOrFQDN: Public end point from where backend service can be accessible - identityServerEndPoint: End point where identity server is hosted - hostTenantName: Host Tenant name registered in identity server - - hostTenantIdOrEmailId: Host tenant id or usetr Id + - hostTenantIdOrEmailId: Host tenant id or email Id - hostTenantPassword: Host tenant password - tenantName: Name of tenant where ML package import will be carried out - projectName: Project Name to which ML package will be imported - - mlPackageName: Name of ML package to which new version will be uploaded if exits, otherwise new ML package by same name - - mlPackageMajorVersionForPrivatePackage: Used to upload new minor version like 3.X. Used for private packages only. Default value should be zero - - mlPackageZipFilePath: ML package zip file path that will be uploaded to target environment - - mlPackageMetadataFilePath: ML package import metadata json file path + - mlPackageName: Name of ML package to which new version will be uploaded if exists, otherwise new ML package by same name will be created + - mlPackageMajorVersionForPrivatePackage: Used to upload new minor version like 3.X. Used for only private packages. Default value should be zero + - mlPackageZipFilePath: ML package zip file path with extension that will be uploaded to target environment + - mlPackageMetadataFilePath: ML package import metadata json file path with extension [Script Version -> 20.10.1.2] ' From 6fcce9e4eb113f3be938a1ade225bd902dcbb2f4 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Wed, 3 Feb 2021 07:34:53 +0530 Subject: [PATCH 033/267] use user passed ip as default --- .../ceph/get-credentials.sh | 22 +++++++++++++------ 1 file changed, 15 insertions(+), 7 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/get-credentials.sh b/platform/onebox/backup_and_restore/ceph/get-credentials.sh index 38119f5e..feb09ad4 100644 --- a/platform/onebox/backup_and_restore/ceph/get-credentials.sh +++ b/platform/onebox/backup_and_restore/ceph/get-credentials.sh @@ -5,16 +5,24 @@ This scipt will generate json file for creds to be used with import export Script will generate file storage-creds.json Run it from the VM running aifabric. Use it as it is [insecure] or transfer to some credsManager and then change backup/restore scripts to fetch from credsmanager instead of json file +# $1 - [Optional but recommended] pass private ip of the aif machine on which it is accesible from other vms in the same network [Script Version -> 21.4] ' + +readonly PRIVATE_IP=$1 + function initialize_variables() { - # Gets private ip of machine so that it can be connected within the VM - # Seems to be set as localhost on some customer machines - #OBJECT_GATEWAY_EXTERNAL_HOST=$(hostname -i) - # Rajiv's suggestion - PRIVATE_ADDRESS=$(ip -o route get to 8.8.8.8 | sed -n 's/.*src \([0-9.]\+\).*/\1/p') - #This is needed on k8s 1.18.x as $PRIVATE_ADDRESS is found to have a newline - OBJECT_GATEWAY_EXTERNAL_HOST=$(echo "$PRIVATE_ADDRESS" | tr -d '\n') + if [ -z "$PRIVATE_IP" ]; then + # Gets private ip of machine so that it can be connected within the VM + # Seems to be set as localhost on some customer machines + #OBJECT_GATEWAY_EXTERNAL_HOST=$(hostname -i) + PRIVATE_ADDRESS=$(ip -o route get to 8.8.8.8 | sed -n 's/.*src \([0-9.]\+\).*/\1/p') + #This is needed on k8s 1.18.x as $PRIVATE_ADDRESS is found to have a newline + OBJECT_GATEWAY_EXTERNAL_HOST=$(echo "$PRIVATE_ADDRESS" | tr -d '\n') + else + OBJECT_GATEWAY_EXTERNAL_HOST=$PRIVATE_IP + fi + OBJECT_GATEWAY_EXTERNAL_PORT=31443 STORAGE_ACCESS_KEY=$(kubectl -n aifabric get secret storage-secrets -o json | jq '.data.OBJECT_STORAGE_ACCESSKEY' | sed -e 's/^"//' -e 's/"$//' | base64 -d) From 1174a48210bbee2cf1fea4c53eacd9bf689af793 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 4 Feb 2021 19:34:54 +0530 Subject: [PATCH 034/267] add registry backup script --- .../ceph/get-credentials.sh | 1 + .../backup_and_restore/credentials/is.sh | 116 ++++++++++++++ .../{ => packages}/export.sh | 0 .../{ => packages}/import.sh | 0 .../backup_and_restore/registry/export.sh | 147 ++++++++++++++++++ .../registry/get-credentials.sh | 127 +++++++++++++++ .../backup_and_restore/registry/getimages.sql | 3 + .../registry/registry-np.yaml | 17 ++ 8 files changed, 411 insertions(+) create mode 100644 platform/onebox/backup_and_restore/credentials/is.sh rename platform/onebox/backup_and_restore/{ => packages}/export.sh (100%) rename platform/onebox/backup_and_restore/{ => packages}/import.sh (100%) create mode 100644 platform/onebox/backup_and_restore/registry/export.sh create mode 100644 platform/onebox/backup_and_restore/registry/get-credentials.sh create mode 100644 platform/onebox/backup_and_restore/registry/getimages.sql create mode 100644 platform/onebox/backup_and_restore/registry/registry-np.yaml diff --git a/platform/onebox/backup_and_restore/ceph/get-credentials.sh b/platform/onebox/backup_and_restore/ceph/get-credentials.sh index feb09ad4..a0079515 100644 --- a/platform/onebox/backup_and_restore/ceph/get-credentials.sh +++ b/platform/onebox/backup_and_restore/ceph/get-credentials.sh @@ -22,6 +22,7 @@ function initialize_variables() { else OBJECT_GATEWAY_EXTERNAL_HOST=$PRIVATE_IP fi + echo "$green $(date) Private IP was $PRIVATE_IP and OBJECT_GATEWAY_EXTERNAL_HOST is $OBJECT_GATEWAY_EXTERNAL_HOST" OBJECT_GATEWAY_EXTERNAL_PORT=31443 diff --git a/platform/onebox/backup_and_restore/credentials/is.sh b/platform/onebox/backup_and_restore/credentials/is.sh new file mode 100644 index 00000000..c39af8d7 --- /dev/null +++ b/platform/onebox/backup_and_restore/credentials/is.sh @@ -0,0 +1,116 @@ +#!/bin/bash + +: ' +This scipt provides methods to fetch access token and register and de-register clients from identity server +The following arguments are to be set by calling script so that they are available to is.sh +# $1 - identityServerEndPoint: End point where identity server is hosted +# $2 - hostTenantName: Host Tenant name registered in identity server +# $3 - hostTenantIdOrEmailId: Host tenant id or email Id +# $4 - hostTenantPassword: Host tenant password +[Script Version -> 21.4] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +# Fetch admin token from identity server end point using host tenant +function internal_fetch_identity_server_token_to_register_client() { + echo "$(date) Fetching identity server client registeration token" + + # Generate required endpoints + readonly local antif=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/antiforgery/generate" + readonly local login=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/Login" + readonly local tokenUrl=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/ClientAccessToken" + + dataLogin='{ + "tenant": "'$HOST_TENANT_NAME'", + "usernameOrEmail": "'$HOST_TENANT_USER_ID_OR_EMAIL'", + "password": "'$HOST_TENANT_PASSWORD'", + "rememberLogin": true + }' + + cookie_file="cookfile.txt" + cookie_file_new="cookfile_new.txt" + + # Get token and construct the cookie, save the returned token. + curl --silent --fail --show-error -k -c $cookie_file --request GET "$antif" + + # Replace headers + sed 's/XSRF-TOKEN-IS/XSRF-TOKEN/g' $cookie_file >$cookie_file_new + + token=$(cat $cookie_file_new | grep XSRF-TOKEN | cut -f7 -d$'\t') + + # Authentication -> POST to $login_url with the token in header "X-CSRF-Token: $token". + curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -c $cookie_file_new -b $cookie_file_new -d "$dataLogin" --request POST "$login" -H "Content-Type: application/json" + + # Fetch Acces token + CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") + + if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then + echo "$(date) $red Failed to generate token to register client ... Exiting $default" + exit 1 + fi +} + +# Fetch access token to call backens server +function internal_fetch_identity_server_access_token() { + echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" + + readonly access_token_response=$( + curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + -H 'Content-Type: application/x-www-form-urlencoded' \ + --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ + --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ + --data-urlencode "grant_type=client_credentials" + ) + + if [ -z "$access_token_response" ]; then + echo "$(date) $red Failed to generate access token to call backend server ... Exiting $default" + deregister_client + exit 1 + fi + + export ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') + + if [ -z "$ACCESS_TOKEN" ]; then + echo "$(date) $red Failed to extract access token ... Exiting $default" + deregister_client + exit 1 + fi + + echo "$(date) Successfully fetched access token to call backend server " +} + +# De-register clients, all values needed for it to work would be set already by calling register_client_and_fetch_access_token +function deregister_client() { + echo "$default $(date) Deregistering client from $IDENTITY_SERVER_ENDPOINT with name $IS_AIFABRIC_CLIENT_NAME" + curl -k -i --silent --fail --show-error -X DELETE "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client/$IS_AIFABRIC_CLIENT_ID" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" +} + +# Register client and fetch Access token +function register_client_and_fetch_access_token() { + + export IS_AIFABRIC_CLIENT_ID="aifabric-"$(openssl rand -hex 10) + export IS_AIFABRIC_CLIENT_SECRET=$(openssl rand -hex 32) + export IS_AIFABRIC_CLIENT_NAME="aifabric-"$(openssl rand -hex 10) + + # Fetch admin token + internal_fetch_identity_server_token_to_register_client + + # Register client + echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" + + client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + + if [ -z "$client_creation_response" ]; then + echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" + exit 1 + fi + + # Fetch access token authorize backend server call + internal_fetch_identity_server_access_token +} + +echo "$red Please source the script & call individual methods instead of calling the script directly $default" \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/export.sh b/platform/onebox/backup_and_restore/packages/export.sh similarity index 100% rename from platform/onebox/backup_and_restore/export.sh rename to platform/onebox/backup_and_restore/packages/export.sh diff --git a/platform/onebox/backup_and_restore/import.sh b/platform/onebox/backup_and_restore/packages/import.sh similarity index 100% rename from platform/onebox/backup_and_restore/import.sh rename to platform/onebox/backup_and_restore/packages/import.sh diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh new file mode 100644 index 00000000..ab383bcd --- /dev/null +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -0,0 +1,147 @@ +#!/bin/bash + +: ' +This script exports the images corresponding to currently available skills +needs a json for creds and export directory +[Script Version -> 21.4] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +readonly REGISTRY_EXPORT_FILE=$1 +readonly EXPORT_PATH=$2/registry + +# Validate dependecny module +# $1 - Name of the dependecny module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency curl "curl --version" + validate_dependency jq "jq --version" + validate_dependency sqlcmd "sqlcmd -?" + validate_dependency gzip "gzip --version" + validate_dependency docker "docker --version" + echo "$(date) Successfully validated required dependecies" +} + + +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +function validate_input() { + + # Validate file path + validate_file_path $REGISTRY_EXPORT_FILE + + readonly DB_CONN=$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.dbConnection != null) | .dbConnection') + readonly DB_NAME=$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.dbName != null) | .dbName') + readonly DB_USER=$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.dbUser != null) | .dbUser') + readonly DB_PASSWORD="$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.dbPassword != null) | .dbPassword')" + readonly REGISTRY_ENDPOINT=$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.registryEndpoint != null) | .registryEndpoint') + readonly REGISTRY_USER=$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.registryUser != null) | .registryUser') + readonly REGISTRY_PASSWORD=$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.registryPassword != null) | .registryPassword') + readonly OLD_REGISTRY_ENDPOINT=$(cat $REGISTRY_EXPORT_FILE | jq -r 'select(.oldRegistryEndpoint != null) | .oldRegistryEndpoint') + + + if [[ -z $DB_CONN || -z $DB_NAME || -z $DB_USER || -z $DB_PASSWORD || -z TENANT_NAME || -z REGISTRY_ENDPOINT || -z REGISTRY_USER || -z REGISTRY_PASSWORD || -z EXPORT_PATH || -z OLD_REGISTRY_ENDPOINT ]]; then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" + exit 1 + fi + + echo "$green $(date) Successfully validated user input $default" +} + +function get_image_list() { + # TODO: Check if it overrides images.txt + sqlcmd -S tcp:${DB_CONN} -d ${DB_NAME} -U ${DB_USER} -P ${DB_PASSWORD} -i getimages.sql -o images.txt -h -1 -W +} + +function docker_setup() { + # Mark docker registry as unauth => Adapt for other envs + echo "{\"insecure-registries\": [\"${REGISTRY_ENDPOINT}\"]}" > insecure.json + sudo touch /etc/docker/daemon.json + daemondiff=$(sudo jq -s '.[0] as $o1 | .[1] as $o2 | ($o1 + $o2) | ."insecure-registries" = ($o1."insecure-registries" + $o2."insecure-registries" | unique)' /etc/docker/daemon.json insecure.json) + sudo echo $daemondiff > /etc/docker/daemon.json + # Restart docker + sudo service docker restart + # Login to docker registry + sudo docker login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} +} + +function save_image() { + sudo docker pull $1 + if [ $? -ne 0 ]; + then + echo "$red $(date) Not able to pull image for $1 $default" + exit 1 + fi + set -o pipefail + sudo docker save $1 | gzip > $2 + if [ $? -ne 0 ]; + then + echo "$red $(date) Not able to save image for $1 in $2 $default" + rm -rf $2 + exit 1 + fi +} + +function save_images() { + mkdir -p ${EXPORT_PATH} + # loop over images, replace existing registry tag with the one from nodeport and generate tars if they don't exist in destination + # Pass full image and a file name to save_image + while read img; do + # each line will be json + echo "$img" + + registry=$(echo $img | jq -r 'select(.repository != null) | .repository') + image=$(echo $img | jq -r 'select(.imageName != null) | .imageName') + tag=$(echo $img | jq -r 'select(.imageTag != null) | .imageTag') + + if [[ $registry == ${OLD_REGISTRY_ENDPOINT}* ]]; then + newimg=${REGISTRY_ENDPOINT}/${image}:${tag} + imgName=$(echo ${newimg##*/}) + if [ ! -f "${EXPORT_PATH}/$imgName.tar.gz" ]; then + echo "$green $(date) ${EXPORT_PATH}/$imgName file does not exist, Generating image tar $default" + save_image $newimg ${EXPORT_PATH}/${imgName}.tar.gz + else + echo "$green $(date) ${EXPORT_PATH}/$imgName file exists, Skipping $default" + fi + fi + done 21.4] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +readonly PRIVATE_IP=$1 + +# Validate dependecny module +# $1 - Name of the dependecny module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency kubectl "kubectl version" + echo "$(date) Successfully validated required dependecies" +} + +function get_db_details() { + ## get password for deployer db => Using Deployer pod + #line=$(kubectl get secrets -n aifabric ai-deployer-secrets -o yaml | grep 'DATASOURCE_PASSWORD') + #readonly DB_PASSWORD=$(echo ${line##* } | base64 -d) + ## get url + #line=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_URL' | grep -v 'SPRING_DATASOURCE_URL') + #readonly DB_CONN=${line##* } + ## get user + #line=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_USERNAME' | grep -v 'SPRING_DATASOURCE_USERNAME') + #readonly DB_USER=${line##* } + + # Fetch details from provisioning job + provisionPod=$(kubectl get jobs -l app=provision --field-selector status.successful=1 --sort-by=.metadata.creationTimestamp -o jsonpath='{.items[-1:].metadata.name}') + line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_HOST' | grep -v 'SQL_HOST') + readonly DB_CONN=${line##* } + line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_USERNAME' | grep -v 'SQL_USERNAME') + readonly DB_USER=${line##* } + line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_PASSWORD' | grep -v 'SQL_PASSWORD') + readonly DB_PASSWORD=${line##* } + line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'DEPLOYER_DBNAME' | grep -v 'DEPLOYER_DBNAME') + readonly DB_NAME=${line##* } + + if [[ -z $DB_CONN || -z $DB_USER || -z $DB_PASSWORD || -z $DB_NAME ]]; then + echo "$red $(date) Failed to fetch one or more db info, Please check ... Exiting $default" + exit 1 + fi +} + +function get_registry_details() { + # get ip + if [ -z "$PRIVATE_IP" ]; then + # Gets private ip of machine so that it can be connected within the VM + # Seems to be set as localhost on some customer machines + #OBJECT_GATEWAY_EXTERNAL_HOST=$(hostname -i) + PRIVATE_ADDRESS=$(ip -o route get to 8.8.8.8 | sed -n 's/.*src \([0-9.]\+\).*/\1/p') + #This is needed on k8s 1.18.x as $PRIVATE_ADDRESS is found to have a newline + REGISTRY_IP=$(echo "$PRIVATE_ADDRESS" | tr -d '\n') + else + REGISTRY_IP=$PRIVATE_IP + fi + echo "$green $(date) Private IP was $PRIVATE_IP and REGISTRY_IP is $REGISTRY_IP" + # check if nodeport exists for registry + regnp=$(kubectl -n kurl get svc registry-np) + if [ -z "$regnp" ]; then + echo "$yellow $(date) Registry service not exposed as nodeport ... Creating $default" + result=kubectl -n kurl apply -f registry_np.yaml + if [ -z "$result" ]; then + echo "$red $(date) Failed to expose Registry service as nodeport ... Exiting $default" + exit 1 + fi + fi + port=$(kubectl -n kurl get service/registry-np -o jsonpath='{.spec.ports[0].nodePort}') + if [ -z "$port" ]; then + echo "$red $(date) Failed to fetch nodeport of Registry service ... Exiting $default" + exit 1 + fi + readonly REGISTRY_CONN=${REGISTRY_IP}:${port} + + # get credentials + line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_USERNAME') + readonly REGISTRY_USER=${line##* } + line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_PASSWORD') + readonly REGISTRY_PASSWORD=${line##* } + + # get old ip + old=$(kubectl -n kurl get service/registry -o jsonpath='{.spec.clusterIP}') + if [ -z "$old" ]; then + echo "$red $(date) Failed to fetch clusterip of Registry service ... Exiting $default" + exit 1 + fi + readonly REGISTRY_OLD=${old} + + if [[ -z $REGISTRY_CONN || -z $REGISTRY_USER || -z $REGISTRY_PASSWORD || -z $REGISTRY_OLD ]]; then + echo "$red $(date) Failed to fetch one or more registry info, Please check ... Exiting $default" + exit 1 + fi +} + +function generate_json() { + echo '{"dbConnection": "'$DB_CONN'", "dbName": "'$DB_NAME'", "dbUser": "'$DB_USER'", "dbPassword": "'$DB_PASSWORD'", "registryEndpoint": "'$REGISTRY_CONN'", "registryUser": "'$REGISTRY_USER'", "registryPassword": "'$REGISTRY_PASSWORD'", "oldRegistryEndpoint": "'$REGISTRY_OLD'"}' > registry-creds.json + echo "$green $(date) Successfully generated credentials: registry-creds.json ... Exiting $default" +} + + +validate_setup + +get_db_details +get_registry_details + +generate_json + + + + diff --git a/platform/onebox/backup_and_restore/registry/getimages.sql b/platform/onebox/backup_and_restore/registry/getimages.sql new file mode 100644 index 00000000..18820994 --- /dev/null +++ b/platform/onebox/backup_and_restore/registry/getimages.sql @@ -0,0 +1,3 @@ +set nocount on; +select distinct mpi.image_uri from aifabric.ml_package_images mpi inner join aifabric.ml_skill_versions msv on msv.ml_package_version_id = mpi.version_id and msv.processor = mpi.processor +where msv.status in ('UPDATING', 'COMPLETED', 'VALIDATING_DEPLOYMENT') and mpi.status = 'ACTIVE'; \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/registry/registry-np.yaml b/platform/onebox/backup_and_restore/registry/registry-np.yaml new file mode 100644 index 00000000..2bd10e4b --- /dev/null +++ b/platform/onebox/backup_and_restore/registry/registry-np.yaml @@ -0,0 +1,17 @@ +apiVersion: v1 +kind: Service +metadata: + labels: + app: registry-np + name: registry-np + namespace: kurl +spec: + ports: + - name: registry-np + port: 443 + protocol: TCP + targetPort: 443 + selector: + app: registry + sessionAffinity: None + type: NodePort \ No newline at end of file From 64fb72ec90ea07de8e91d2fb12c3845632aea798 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 4 Feb 2021 19:55:19 +0530 Subject: [PATCH 035/267] add import script --- .../backup_and_restore/registry/export.sh | 11 ++ .../backup_and_restore/registry/getimages.sql | 2 +- .../backup_and_restore/registry/import.sh | 138 ++++++++++++++++++ 3 files changed, 150 insertions(+), 1 deletion(-) create mode 100644 platform/onebox/backup_and_restore/registry/import.sh diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index ab383bcd..0fe6be32 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -71,6 +71,17 @@ function get_image_list() { sqlcmd -S tcp:${DB_CONN} -d ${DB_NAME} -U ${DB_USER} -P ${DB_PASSWORD} -i getimages.sql -o images.txt -h -1 -W } +//TODO: use this +formulate_docker_command() { + docker images registry + if [[ $? -ne 0 ]]; then + echo "sudo permission required for docker" + DOCKER_COMMAND="sudo docker" + else + DOCKER_COMMAND="docker" + fi +} + function docker_setup() { # Mark docker registry as unauth => Adapt for other envs echo "{\"insecure-registries\": [\"${REGISTRY_ENDPOINT}\"]}" > insecure.json diff --git a/platform/onebox/backup_and_restore/registry/getimages.sql b/platform/onebox/backup_and_restore/registry/getimages.sql index 18820994..4f1b02b8 100644 --- a/platform/onebox/backup_and_restore/registry/getimages.sql +++ b/platform/onebox/backup_and_restore/registry/getimages.sql @@ -1,3 +1,3 @@ set nocount on; -select distinct mpi.image_uri from aifabric.ml_package_images mpi inner join aifabric.ml_skill_versions msv on msv.ml_package_version_id = mpi.version_id and msv.processor = mpi.processor +select distinct mpi.image_uri from ml_package_images mpi inner join ml_skill_versions msv on msv.ml_package_version_id = mpi.version_id and msv.processor = mpi.processor where msv.status in ('UPDATING', 'COMPLETED', 'VALIDATING_DEPLOYMENT') and mpi.status = 'ACTIVE'; \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/registry/import.sh b/platform/onebox/backup_and_restore/registry/import.sh new file mode 100644 index 00000000..c8acbbd0 --- /dev/null +++ b/platform/onebox/backup_and_restore/registry/import.sh @@ -0,0 +1,138 @@ +#!/bin/bash + +: ' +This script exports the images corresponding to currently available skills +needs a json for creds and import directory +[Script Version -> 21.4] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +readonly REGISTRY_IMPORT_FILE=$1 +readonly IMPORT_PATH=$2/registry + +# Validate dependecny module +# $1 - Name of the dependecny module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency curl "curl --version" + validate_dependency jq "jq --version" + validate_dependency sqlcmd "sqlcmd -?" + validate_dependency gzip "gzip --version" + validate_dependency docker "docker --version" + echo "$(date) Successfully validated required dependecies" +} + + +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +function validate_input() { + + # Validate file path + validate_file_path $REGISTRY_IMPORT_FILE + + readonly DB_CONN=$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.dbConnection != null) | .dbConnection') + readonly DB_NAME=$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.dbName != null) | .dbName') + readonly DB_USER=$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.dbUser != null) | .dbUser') + readonly DB_PASSWORD="$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.dbPassword != null) | .dbPassword')" + readonly REGISTRY_ENDPOINT=$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.registryEndpoint != null) | .registryEndpoint') + readonly REGISTRY_USER=$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.registryUser != null) | .registryUser') + readonly REGISTRY_PASSWORD=$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.registryPassword != null) | .registryPassword') + readonly OLD_REGISTRY_ENDPOINT=$(cat $REGISTRY_IMPORT_FILE | jq -r 'select(.oldRegistryEndpoint != null) | .oldRegistryEndpoint') + + + if [[ -z $DB_CONN || -z $DB_NAME || -z $DB_USER || -z $DB_PASSWORD || -z TENANT_NAME || -z REGISTRY_ENDPOINT || -z REGISTRY_USER || -z REGISTRY_PASSWORD || -z EXPORT_PATH || -z OLD_REGISTRY_ENDPOINT ]]; then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" + exit 1 + fi + + echo "$green $(date) Successfully validated user input $default" +} + +//TODO: use this +formulate_docker_command() { + docker images registry + if [[ $? -ne 0 ]]; then + echo "sudo permission required for docker" + DOCKER_COMMAND="sudo docker" + else + DOCKER_COMMAND="docker" + fi +} + +function docker_setup() { + # Mark docker registry as unauth => Adapt for other envs + echo "{\"insecure-registries\": [\"${REGISTRY_ENDPOINT}\"]}" > insecure.json + sudo touch /etc/docker/daemon.json + daemondiff=$(sudo jq -s '.[0] as $o1 | .[1] as $o2 | ($o1 + $o2) | ."insecure-registries" = ($o1."insecure-registries" + $o2."insecure-registries" | unique)' /etc/docker/daemon.json insecure.json) + sudo echo $daemondiff > /etc/docker/daemon.json + # Restart docker + sudo service docker restart + # Login to docker registry + sudo docker login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} +} + +function load_image() { + LOAD_IMAGE_EXP="Loaded image: " + ERROR_RESPONSE="Response:Error" + + tarfile=$1 + echo "$green $(date) Loading file: ${tarfile} $default" + + LOAD_IMAGE_RESPONSE=$(${DOCKER_COMMAND} load < ${tarfile}) + if [[ "${LOAD_IMAGE_RESPONSE}" == *${ERROR_RESPONSE}* ]]; then + echo "${LOAD_IMAGE_RESPONSE}" + echo "Failed to load image: ${file}" + exit 1 + fi + + if [[ "${LOAD_IMAGE_RESPONSE}" == *${LOAD_IMAGE_EXP}* ]]; then + IMAGE_NAME=$(echo ${LOAD_IMAGE_RESPONSE}|sed -r "s|${LOAD_IMAGE_EXP}||g") + echo "Tag ${IMAGE_NAME} image to local registry" + existing_registry=$(echo ${IMAGE_NAME%%/*}) + LOCAL_IMAGE_NAME=$(echo ${IMAGE_NAME}|sed -r "s|${existing_registry}|${REGISTRY_ENDPOINT}|g") + echo "Local image name is $LOCAL_IMAGE_NAME" + # tag failure means an error in our script which will be caught in testing + ${DOCKER_COMMAND} tag ${IMAGE_NAME} ${LOCAL_IMAGE_NAME} + PUSH_IMAGE_RESPONSE=$(${DOCKER_COMMAND} push ${LOCAL_IMAGE_NAME}) + if [[ "${PUSH_IMAGE_RESPONSE}" == *${ERROR_RESPONSE}* ]]; then + echo "${PUSH_IMAGE_RESPONSE}" + echo "Failed to load image: ${file}" + exit 1 + fi + fi +} + +function load_images() { + for file in $(ls ${IMPORT_PATH}); do + load_image ${IMPORT_PATH}/${file} + # TODO: Update image ref in db + done +} + + +validate_setup + +validate_input + +docker_setup + +## import +load_images \ No newline at end of file From d8648803610d10d1f6222fb12c647f02921420fa Mon Sep 17 00:00:00 2001 From: Akash Deep Date: Wed, 10 Feb 2021 19:15:52 +0530 Subject: [PATCH 036/267] [AIFBR-8279] Add Version 2 for english text classification model --- ...nglishTextClassification__2__metadata.json | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/EnglishTextClassification__2__metadata.json diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json new file mode 100644 index 00000000..641bc559 --- /dev/null +++ b/metadata/EnglishTextClassification__2__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", + "displayName": "EnglishTextClassification", + "gpu": 0, + "inputDescription": "Text to be classified as String: 'I loved this movie.'", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "EnglishTextClassification", + "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", + "processorType": "GPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, + "imagePath": "registry.replicated.com/aif-core/englishtextclassification:2" +} From 3667f82a4887437fddab579894132dd00b567768 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 11 Feb 2021 13:26:07 +0530 Subject: [PATCH 037/267] move query to command instead of file --- platform/onebox/backup_and_restore/registry/export.sh | 11 +++++------ platform/onebox/backup_and_restore/registry/import.sh | 10 ++++++---- 2 files changed, 11 insertions(+), 10 deletions(-) diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index 0fe6be32..919ccf2a 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -67,11 +67,10 @@ function validate_input() { } function get_image_list() { - # TODO: Check if it overrides images.txt - sqlcmd -S tcp:${DB_CONN} -d ${DB_NAME} -U ${DB_USER} -P ${DB_PASSWORD} -i getimages.sql -o images.txt -h -1 -W + # sqlcmd -S tcp:${DB_CONN} -d ${DB_NAME} -U ${DB_USER} -P ${DB_PASSWORD} -i getimages.sql -o images.txt -h -1 -W + sqlcmd -S tcp:${DB_CONN} -d ${DB_NAME} -U ${DB_USER} -P ${DB_PASSWORD} -o images.txt -h -1 -W -Q "set nocount on; select distinct mpi.image_uri from ml_package_images mpi inner join ml_skill_versions msv on msv.ml_package_version_id = mpi.version_id and msv.processor = mpi.processor where msv.status in ('UPDATING', 'COMPLETED', 'VALIDATING_DEPLOYMENT') and mpi.status = 'ACTIVE'" } -//TODO: use this formulate_docker_command() { docker images registry if [[ $? -ne 0 ]]; then @@ -91,18 +90,18 @@ function docker_setup() { # Restart docker sudo service docker restart # Login to docker registry - sudo docker login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} + ${DOCKER_COMMAND} login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} } function save_image() { - sudo docker pull $1 + ${DOCKER_COMMAND} pull $1 if [ $? -ne 0 ]; then echo "$red $(date) Not able to pull image for $1 $default" exit 1 fi set -o pipefail - sudo docker save $1 | gzip > $2 + ${DOCKER_COMMAND} save $1 | gzip > $2 if [ $? -ne 0 ]; then echo "$red $(date) Not able to save image for $1 in $2 $default" diff --git a/platform/onebox/backup_and_restore/registry/import.sh b/platform/onebox/backup_and_restore/registry/import.sh index c8acbbd0..2314bd02 100644 --- a/platform/onebox/backup_and_restore/registry/import.sh +++ b/platform/onebox/backup_and_restore/registry/import.sh @@ -66,7 +66,6 @@ function validate_input() { echo "$green $(date) Successfully validated user input $default" } -//TODO: use this formulate_docker_command() { docker images registry if [[ $? -ne 0 ]]; then @@ -86,7 +85,7 @@ function docker_setup() { # Restart docker sudo service docker restart # Login to docker registry - sudo docker login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} + ${DOCKER_COMMAND} login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} } function load_image() { @@ -127,12 +126,15 @@ function load_images() { done } - validate_setup validate_input +formulate_docker_command + docker_setup ## import -load_images \ No newline at end of file +load_images + + From 3c3e47d5227d24e76a560b7854c4c2f151e29866 Mon Sep 17 00:00:00 2001 From: Aniket Marlapalle <64406697+aniket202@users.noreply.github.com> Date: Sat, 13 Feb 2021 13:54:05 +0530 Subject: [PATCH 038/267] Change ai fabric name to ai center in oob metadata files (#74) --- database/createDatabases.ps1 | 6 +++--- metadata/HandwritingRecognition__1__metadata.json | 4 ++-- metadata/IntelligentFormExtractor__1__metadata.json | 2 +- metadata/TPOTAutoMLClassification__1__metadata.json | 2 +- orchestrator/orchestratorAutomation.ps1 | 10 +++++----- 5 files changed, 12 insertions(+), 12 deletions(-) diff --git a/database/createDatabases.ps1 b/database/createDatabases.ps1 index f20593ed..01ec02e5 100644 --- a/database/createDatabases.ps1 +++ b/database/createDatabases.ps1 @@ -2,13 +2,13 @@ <# .SYNOPSIS - Create Databases Required for AIFabric + Create Databases Required for AICenter .DESCRIPTION - Create Databases required by AIFabric i.e ai_helper, ai_pkgmanager, ai_deployer, ai_trainer & ai_appmanager & the script also creates an user which has db_owner privileges on all these 5 databases + Create Databases required by AICenter i.e ai_helper, ai_pkgmanager, ai_deployer, ai_trainer & ai_appmanager & the script also creates an user which has db_owner privileges on all these 5 databases and the username and password that are generated are both logged to console as well as stored as an file in the current directory from where the script execution is triggered. .NOTES Name: ./createDatabases.ps1 - Author: AIFabric Team + Author: AICenter Team Pre-Requisites: script has to be executed throuh powershell in Administrator mode & before running script set execution policy to RemoteSigned by running "Set-ExecutionPolicy RemoteSigned" .EXAMPLE If SQL Server can be accessed through Windows Authentication then: diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json index 80feb5dd..d6f3ec8c 100644 --- a/metadata/HandwritingRecognition__1__metadata.json +++ b/metadata/HandwritingRecognition__1__metadata.json @@ -1,10 +1,10 @@ { "changeLog": "Release v2020.10", "cpu": 0, - "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Fabric here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", "displayName": "HandwritingRecognition", "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Fabric. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", "inputType": "JSON", "memory": 0, "mlPackageLanguage": "PYTHON37_DU", diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index a3424980..e7ca970c 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Release v2020.8", "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Fabric here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", "displayName": "IntelligentFormExtractor", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index be7ef50b..f16111c1 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -9,7 +9,7 @@ "memory": 0, "mlPackageLanguage": "PYTHON36", "name": "TPOTAutoMLClassification", - "outputDescription":"JSON with predicted class, associated confidence on that class prediction (between 0-1) and label name. Label names are returned only if the label encoding was performed by the pipeline, within AI Fabric. Some scikit-learn models do not support confidence scores. If the output of the optimization pipeline is a scikit-learn model which does not support confidence scores the output will only contain the predicted class. Ex: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n  \"labels\": “yes” \n\n} \n\nOr if label encoding was done outside of the model: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n}   ", "processorType": "CPU", + "outputDescription":"JSON with predicted class, associated confidence on that class prediction (between 0-1) and label name. Label names are returned only if the label encoding was performed by the pipeline, within AI Center. Some scikit-learn models do not support confidence scores. If the output of the optimization pipeline is a scikit-learn model which does not support confidence scores the output will only contain the predicted class. Ex: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n  \"labels\": “yes” \n\n} \n\nOr if label encoding was done outside of the model: { \n\n  \"predictions\": 0,  \n\n  \"confidences\": 0.6, \n\n}   ", "processorType": "CPU", "processorType": "CPU", "projectId": "[project-id]", "retrainable": true, diff --git a/orchestrator/orchestratorAutomation.ps1 b/orchestrator/orchestratorAutomation.ps1 index d8d2063a..cba1a7b9 100644 --- a/orchestrator/orchestratorAutomation.ps1 +++ b/orchestrator/orchestratorAutomation.ps1 @@ -3,20 +3,20 @@ <# .SYNOPSIS - Makes aifabric related changes to orchestrator web.config to enable aifabric installation and access. + Makes aicenter related changes to orchestrator web.config to enable aicenter installation and access. .DESCRIPTION - Add entries in orchestrator web.config(if not exists) for orchestrator internal IDP and aifabric access from robot and orchestrator. + Add entries in orchestrator web.config(if not exists) for orchestrator internal IDP and aicenter access from robot and orchestrator. Removes cache to allow access to new controllers and resets iis to load new values. .NOTES Name: ./orchestratorAutomation.ps1 - Author: AIFabric Team + Author: AICenter Team Pre-Requisites: script has to be executed throuh powershell in Administrator mode & before running script set execution policy to RemoteSigned by running "Set-ExecutionPolicy RemoteSigned" .EXAMPLE - If orchestrator is hosted at orchestrator.uipath.com and aifabric is available at ww.xx.yy.zz, command to run would be + If orchestrator is hosted at orchestrator.uipath.com and aicenter is available at ww.xx.yy.zz, command to run would be ./orchestratorAutomation.ps1 -aifip ww.xx.yy.zz -orcname orchestrator.uipath.com If ai-app is accessed via domain instead of IP:PORT combo, then enable domainBasedAccess to true - .\orchestratorAutomation.ps1 -aifip "aif-sahil-aks.westeurope.cloudapp.azure.com" -orcname "aifabricdevorch.northeurope.cloudapp.azure.com" -portlessAccess "true" + .\orchestratorAutomation.ps1 -aifip "aif-sahil-aks.westeurope.cloudapp.azure.com" -orcname "aicenterdevorch.northeurope.cloudapp.azure.com" -portlessAccess "true" If Orchestrator Installation Path has to be specified, ./orchestratorAutomation.ps1 -aifip ww.xx.yy.zz -orcname orchestrator.uipath.com -config "C:\Program Files (x86)\UiPath\Orchestrator" From 454b7e5657d65a987c3239d10e922bc857b1328e Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Mon, 15 Feb 2021 17:56:02 +0530 Subject: [PATCH 039/267] Update export.sh --- platform/onebox/backup_and_restore/registry/export.sh | 11 ----------- 1 file changed, 11 deletions(-) diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index 919ccf2a..189eff7c 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -141,17 +141,6 @@ validate_input docker_setup -#validate_file_path "./is.sh" -#source ./is.sh -# -## register -#register_client_and_fetch_access_token -# -## export get_image_list save_images -# -# -## deregister -#deregister_client From 82c5145ba6b39c3f6cbaccf7a1fd87822ec9d099 Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Mon, 15 Feb 2021 17:56:35 +0530 Subject: [PATCH 040/267] Update get-credentials.sh --- .../backup_and_restore/registry/get-credentials.sh | 14 -------------- 1 file changed, 14 deletions(-) diff --git a/platform/onebox/backup_and_restore/registry/get-credentials.sh b/platform/onebox/backup_and_restore/registry/get-credentials.sh index 5960013f..22e40c21 100644 --- a/platform/onebox/backup_and_restore/registry/get-credentials.sh +++ b/platform/onebox/backup_and_restore/registry/get-credentials.sh @@ -32,16 +32,6 @@ function validate_setup() { } function get_db_details() { - ## get password for deployer db => Using Deployer pod - #line=$(kubectl get secrets -n aifabric ai-deployer-secrets -o yaml | grep 'DATASOURCE_PASSWORD') - #readonly DB_PASSWORD=$(echo ${line##* } | base64 -d) - ## get url - #line=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_URL' | grep -v 'SPRING_DATASOURCE_URL') - #readonly DB_CONN=${line##* } - ## get user - #line=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_USERNAME' | grep -v 'SPRING_DATASOURCE_USERNAME') - #readonly DB_USER=${line##* } - # Fetch details from provisioning job provisionPod=$(kubectl get jobs -l app=provision --field-selector status.successful=1 --sort-by=.metadata.creationTimestamp -o jsonpath='{.items[-1:].metadata.name}') line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_HOST' | grep -v 'SQL_HOST') @@ -121,7 +111,3 @@ get_db_details get_registry_details generate_json - - - - From 3a8d6ea8e6d8358077867c7c4ac7ee5845fd37d8 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Mon, 15 Feb 2021 18:07:29 +0530 Subject: [PATCH 041/267] add cors policy in backup and restore --- .../onebox/backup_and_restore/ceph/export.sh | 30 ++++++++---- .../onebox/backup_and_restore/ceph/import.sh | 46 +++++++++++++------ 2 files changed, 53 insertions(+), 23 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index 22b87f1f..589582c0 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -35,6 +35,7 @@ function initialize_variables() { export AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') export AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') readonly FOLDER=${BASE_PATH}/ceph/ + mkdir -p ${FOLDER} } function list_buckets() { @@ -42,21 +43,34 @@ function list_buckets() { readonly BUCKETS=${temp_buckets} } -function download_blobs() { +function get_cors_policy() { + BUCKET_NAME=${1} + aws --endpoint-url $AWS_ENDPOINT --no-verify-ssl s3api get-bucket-cors --bucket ${BUCKET_NAME} > ${FOLDER}${BUCKET_NAME}-cors.json +} + +function download_blob() { + BUCKET_NAME=${1} + echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + mkdir -p ${FOLDER}${BUCKET_NAME} + aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME} ${FOLDER}${BUCKET_NAME} --delete + echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" +} + + +function sync_buckets() { while read line; do echo "Response line: '${line}'" - BUCKET_NAME=$(echo ${line}| cut -d" " -f3) - echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" - mkdir -p ${FOLDER}${BUCKET_NAME} - aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME} ${FOLDER}${BUCKET_NAME} --delete - echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + bucket=$(echo ${line}| cut -d" " -f3) + # get cors policy on bucket + get_cors_policy $bucket + # download bucket contents => Ceph issue limits it to 1000 blobs + download_blob $bucket done <<< "$BUCKETS" } - initialize_variables list_buckets -download_blobs +sync_buckets diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index 45b029df..cf5a6830 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -45,23 +45,39 @@ function list_buckets() { readonly DIRS=${dirs} } -function upload_blobs() { +function upload_blob() { + BUCKET_NAME=${1} + # create bucket if not exists + local check_bucket=$(s3cmd info --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate -q) + if [ ! -z "$check_bucket" ]; then + echo "$green $(date) Creating bucket ${BUCKET_NAME} $default" + s3cmd mb --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate + else + echo "$yellow $(date) Bucket exists: ${BUCKET_NAME}, skipping $default" + fi + # sync folder to bucket + echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + aws s3 --endpoint-url ${AWS_ENDPOINT} --no-verify-ssl --only-show-errors sync ${dir}/ s3://${BUCKET_NAME} + echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" +} + +function update_cors_policy() { + BUCKET_NAME=${1} + if [ ! -f "${FOLDER}${BUCKET_NAME}-cors.json" ]; then + echo "$red $(date) ${FOLDER}${BUCKET_NAME}-cors.json file does not exist, Please check ... Skipping cors creation $default" + return + fi + aws --endpoint-url $AWS_ENDPOINT --no-verify-ssl s3api put-bucket-cors --bucket ${BUCKET_NAME} --cors-configuration file://${FOLDER}${BUCKET_NAME}-cors.json +} + +function process_buckets() { while read dir; do echo "Processing directory: '${dir}'" # aws doesn't allow underscores in bucket name - BUCKET_NAME=${dir//_/-} - # create bucket if not exists - local check_bucket=$(s3cmd info --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate -q) - if [ ! -z "$check_bucket" ]; then - echo "$green $(date) Creating bucket ${BUCKET_NAME} $default" - s3cmd mb --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate - else - echo "$yellow $(date) Bucket exists: ${BUCKET_NAME}, skipping $default" - fi - # sync folder to bucket - echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" - aws s3 --endpoint-url ${AWS_ENDPOINT} --no-verify-ssl --only-show-errors sync ${dir}/ s3://${BUCKET_NAME} - echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" + bucket=${dir//_/-} + # Create and sync bucket contents + upload_blob ${bucket} + update_cors_policy ${bucket} done <<< "$DIRS"; } @@ -70,5 +86,5 @@ initialize_variables list_buckets -upload_blobs +process_buckets From 7978e2092f002b384f822ab4b2faa9dc5980dfc2 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Tue, 16 Feb 2021 12:56:20 +0530 Subject: [PATCH 042/267] handle review comments --- .../credentials/{is.sh => idputils.sh} | 4 +- .../registry/get-credentials.sh | 75 ++++++++----------- 2 files changed, 34 insertions(+), 45 deletions(-) rename platform/onebox/backup_and_restore/credentials/{is.sh => idputils.sh} (98%) diff --git a/platform/onebox/backup_and_restore/credentials/is.sh b/platform/onebox/backup_and_restore/credentials/idputils.sh similarity index 98% rename from platform/onebox/backup_and_restore/credentials/is.sh rename to platform/onebox/backup_and_restore/credentials/idputils.sh index c39af8d7..3d61f892 100644 --- a/platform/onebox/backup_and_restore/credentials/is.sh +++ b/platform/onebox/backup_and_restore/credentials/idputils.sh @@ -31,8 +31,8 @@ function internal_fetch_identity_server_token_to_register_client() { "rememberLogin": true }' - cookie_file="cookfile.txt" - cookie_file_new="cookfile_new.txt" + cookie_file="cookiefile.txt" + cookie_file_new="cookiefile_new.txt" # Get token and construct the cookie, save the returned token. curl --silent --fail --show-error -k -c $cookie_file --request GET "$antif" diff --git a/platform/onebox/backup_and_restore/registry/get-credentials.sh b/platform/onebox/backup_and_restore/registry/get-credentials.sh index 5960013f..174fb93c 100644 --- a/platform/onebox/backup_and_restore/registry/get-credentials.sh +++ b/platform/onebox/backup_and_restore/registry/get-credentials.sh @@ -32,16 +32,6 @@ function validate_setup() { } function get_db_details() { - ## get password for deployer db => Using Deployer pod - #line=$(kubectl get secrets -n aifabric ai-deployer-secrets -o yaml | grep 'DATASOURCE_PASSWORD') - #readonly DB_PASSWORD=$(echo ${line##* } | base64 -d) - ## get url - #line=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_URL' | grep -v 'SPRING_DATASOURCE_URL') - #readonly DB_CONN=${line##* } - ## get user - #line=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_USERNAME' | grep -v 'SPRING_DATASOURCE_USERNAME') - #readonly DB_USER=${line##* } - # Fetch details from provisioning job provisionPod=$(kubectl get jobs -l app=provision --field-selector status.successful=1 --sort-by=.metadata.creationTimestamp -o jsonpath='{.items[-1:].metadata.name}') line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_HOST' | grep -v 'SQL_HOST') @@ -54,9 +44,9 @@ function get_db_details() { readonly DB_NAME=${line##* } if [[ -z $DB_CONN || -z $DB_USER || -z $DB_PASSWORD || -z $DB_NAME ]]; then - echo "$red $(date) Failed to fetch one or more db info, Please check ... Exiting $default" - exit 1 - fi + echo "$red $(date) Failed to fetch one or more db info, Please check ... Exiting $default" + exit 1 + fi } function get_registry_details() { @@ -67,46 +57,45 @@ function get_registry_details() { #OBJECT_GATEWAY_EXTERNAL_HOST=$(hostname -i) PRIVATE_ADDRESS=$(ip -o route get to 8.8.8.8 | sed -n 's/.*src \([0-9.]\+\).*/\1/p') #This is needed on k8s 1.18.x as $PRIVATE_ADDRESS is found to have a newline - REGISTRY_IP=$(echo "$PRIVATE_ADDRESS" | tr -d '\n') - else - REGISTRY_IP=$PRIVATE_IP - fi - echo "$green $(date) Private IP was $PRIVATE_IP and REGISTRY_IP is $REGISTRY_IP" + REGISTRY_IP=$(echo "$PRIVATE_ADDRESS" | tr -d '\n') + else + REGISTRY_IP=$PRIVATE_IP + fi + echo "$green $(date) Private IP was $PRIVATE_IP and REGISTRY_IP is $REGISTRY_IP" # check if nodeport exists for registry regnp=$(kubectl -n kurl get svc registry-np) if [ -z "$regnp" ]; then - echo "$yellow $(date) Registry service not exposed as nodeport ... Creating $default" - result=kubectl -n kurl apply -f registry_np.yaml - if [ -z "$result" ]; then - echo "$red $(date) Failed to expose Registry service as nodeport ... Exiting $default" - exit 1 - fi - fi - port=$(kubectl -n kurl get service/registry-np -o jsonpath='{.spec.ports[0].nodePort}') - if [ -z "$port" ]; then - echo "$red $(date) Failed to fetch nodeport of Registry service ... Exiting $default" + echo "$yellow $(date) Registry service not exposed as nodeport ... Creating $default" + result=kubectl -n kurl apply -f registry_np.yaml + if [ -z "$result" ]; then + echo "$red $(date) Failed to expose Registry service as nodeport ... Exiting $default" exit 1 fi - readonly REGISTRY_CONN=${REGISTRY_IP}:${port} + fi + port=$(kubectl -n kurl get service/registry-np -o jsonpath='{.spec.ports[0].nodePort}') + if [ -z "$port" ]; then + echo "$red $(date) Failed to fetch nodeport of Registry service ... Exiting $default" + exit 1 + fi + readonly REGISTRY_CONN=${REGISTRY_IP}:${port} - # get credentials - line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_USERNAME') + # get credentials + line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_USERNAME') readonly REGISTRY_USER=${line##* } line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_PASSWORD') readonly REGISTRY_PASSWORD=${line##* } - # get old ip - old=$(kubectl -n kurl get service/registry -o jsonpath='{.spec.clusterIP}') - if [ -z "$old" ]; then - echo "$red $(date) Failed to fetch clusterip of Registry service ... Exiting $default" - exit 1 - fi - readonly REGISTRY_OLD=${old} - - if [[ -z $REGISTRY_CONN || -z $REGISTRY_USER || -z $REGISTRY_PASSWORD || -z $REGISTRY_OLD ]]; then - echo "$red $(date) Failed to fetch one or more registry info, Please check ... Exiting $default" - exit 1 - fi + # get old ip + old=$(kubectl -n kurl get service/registry -o jsonpath='{.spec.clusterIP}') + if [ -z "$old" ]; then + echo "$red $(date) Failed to fetch clusterip of Registry service ... Exiting $default" + exit 1 + fi + readonly REGISTRY_OLD=${old} + if [[ -z $REGISTRY_CONN || -z $REGISTRY_USER || -z $REGISTRY_PASSWORD || -z $REGISTRY_OLD ]]; then + echo "$red $(date) Failed to fetch one or more registry info, Please check ... Exiting $default" + exit 1 + fi } function generate_json() { From 99e6e90175bff04f6748964da27908bbdce0c302 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 18 Feb 2021 09:31:34 +0200 Subject: [PATCH 043/267] Add metadata for 21.1.8 DU models --- metadata/AustralianInvoices__5__metadata.json | 23 +++++++++++++++++++ .../DocumentUnderstanding__6__metadata.json | 23 +++++++++++++++++++ metadata/IndianInvoices__5__metadata.json | 23 +++++++++++++++++++ metadata/Invoices__6__metadata.json | 23 +++++++++++++++++++ metadata/JapaneseInvoices__3__metadata.json | 23 +++++++++++++++++++ metadata/PurchaseOrders__5__metadata.json | 23 +++++++++++++++++++ metadata/Receipts__6__metadata.json | 23 +++++++++++++++++++ metadata/UtilityBills__5__metadata.json | 23 +++++++++++++++++++ 8 files changed, 184 insertions(+) create mode 100644 metadata/AustralianInvoices__5__metadata.json create mode 100644 metadata/DocumentUnderstanding__6__metadata.json create mode 100644 metadata/IndianInvoices__5__metadata.json create mode 100644 metadata/Invoices__6__metadata.json create mode 100644 metadata/JapaneseInvoices__3__metadata.json create mode 100644 metadata/PurchaseOrders__5__metadata.json create mode 100644 metadata/Receipts__6__metadata.json create mode 100644 metadata/UtilityBills__5__metadata.json diff --git a/metadata/AustralianInvoices__5__metadata.json b/metadata/AustralianInvoices__5__metadata.json new file mode 100644 index 00000000..45a0edcc --- /dev/null +++ b/metadata/AustralianInvoices__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/australianinvoices:5" +} diff --git a/metadata/DocumentUnderstanding__6__metadata.json b/metadata/DocumentUnderstanding__6__metadata.json new file mode 100644 index 00000000..85368109 --- /dev/null +++ b/metadata/DocumentUnderstanding__6__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/documentunderstanding:6" +} diff --git a/metadata/IndianInvoices__5__metadata.json b/metadata/IndianInvoices__5__metadata.json new file mode 100644 index 00000000..6726e176 --- /dev/null +++ b/metadata/IndianInvoices__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/indianinvoices:5" +} diff --git a/metadata/Invoices__6__metadata.json b/metadata/Invoices__6__metadata.json new file mode 100644 index 00000000..6bec186f --- /dev/null +++ b/metadata/Invoices__6__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/invoices:6" +} diff --git a/metadata/JapaneseInvoices__3__metadata.json b/metadata/JapaneseInvoices__3__metadata.json new file mode 100644 index 00000000..a3d48e63 --- /dev/null +++ b/metadata/JapaneseInvoices__3__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:3" +} diff --git a/metadata/PurchaseOrders__5__metadata.json b/metadata/PurchaseOrders__5__metadata.json new file mode 100644 index 00000000..5041fe2a --- /dev/null +++ b/metadata/PurchaseOrders__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/purchaseorders:5" +} diff --git a/metadata/Receipts__6__metadata.json b/metadata/Receipts__6__metadata.json new file mode 100644 index 00000000..894dd06e --- /dev/null +++ b/metadata/Receipts__6__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/receipts:6" +} diff --git a/metadata/UtilityBills__5__metadata.json b/metadata/UtilityBills__5__metadata.json new file mode 100644 index 00000000..7cbeddec --- /dev/null +++ b/metadata/UtilityBills__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/utilitybills:5" +} From ed38ff843bcb9f4a5dc7aebab3e9f94d336ff705 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 4 Mar 2021 19:11:41 +0530 Subject: [PATCH 044/267] fix script --- .../onebox/backup_and_restore/ceph/import.sh | 16 +++++++++------- 1 file changed, 9 insertions(+), 7 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index cf5a6830..5733b59a 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -43,10 +43,12 @@ function list_buckets() { cd $FOLDER dirs=$(find . -maxdepth 1 -mindepth 1 -type d -printf '%f\n') readonly DIRS=${dirs} + cd - } function upload_blob() { BUCKET_NAME=${1} + DIR_NAME=${2} # create bucket if not exists local check_bucket=$(s3cmd info --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate -q) if [ ! -z "$check_bucket" ]; then @@ -57,17 +59,18 @@ function upload_blob() { fi # sync folder to bucket echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} $default" - aws s3 --endpoint-url ${AWS_ENDPOINT} --no-verify-ssl --only-show-errors sync ${dir}/ s3://${BUCKET_NAME} + aws s3 --endpoint-url ${AWS_ENDPOINT} --no-verify-ssl --only-show-errors sync ${FOLDER}${DIR_NAME}/ s3://${BUCKET_NAME} echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" } function update_cors_policy() { BUCKET_NAME=${1} - if [ ! -f "${FOLDER}${BUCKET_NAME}-cors.json" ]; then - echo "$red $(date) ${FOLDER}${BUCKET_NAME}-cors.json file does not exist, Please check ... Skipping cors creation $default" + DIR_NAME=${2} + if [ ! -f "${FOLDER}${DIR_NAME}-cors.json" ]; then + echo "$red $(date) ${FOLDER}${DIR_NAME}-cors.json file does not exist, Please check ... Skipping cors creation $default" return fi - aws --endpoint-url $AWS_ENDPOINT --no-verify-ssl s3api put-bucket-cors --bucket ${BUCKET_NAME} --cors-configuration file://${FOLDER}${BUCKET_NAME}-cors.json + aws --endpoint-url $AWS_ENDPOINT --no-verify-ssl s3api put-bucket-cors --bucket ${BUCKET_NAME} --cors-configuration file://${FOLDER}${DIR_NAME}-cors.json } function process_buckets() { @@ -76,8 +79,8 @@ function process_buckets() { # aws doesn't allow underscores in bucket name bucket=${dir//_/-} # Create and sync bucket contents - upload_blob ${bucket} - update_cors_policy ${bucket} + upload_blob ${bucket} ${dir} + update_cors_policy ${bucket} ${dir} done <<< "$DIRS"; } @@ -85,6 +88,5 @@ function process_buckets() { initialize_variables list_buckets - process_buckets From 1ce04c1b6248a07ccf9153de4c5f4577e3f7d33e Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 4 Mar 2021 19:24:05 +0530 Subject: [PATCH 045/267] add readme for registry --- .../onebox/backup_and_restore/ceph/README.md | 1 + .../backup_and_restore/registry/README.md | 34 +++++++++++++++++++ 2 files changed, 35 insertions(+) create mode 100644 platform/onebox/backup_and_restore/registry/README.md diff --git a/platform/onebox/backup_and_restore/ceph/README.md b/platform/onebox/backup_and_restore/ceph/README.md index e27fc5af..a481f1f5 100644 --- a/platform/onebox/backup_and_restore/ceph/README.md +++ b/platform/onebox/backup_and_restore/ceph/README.md @@ -20,6 +20,7 @@ The Machine where backup/restore runs needs the following: ## Usage * Run get-credentials.sh on AIF machine. It generates a file storage-creds.json. Copy it over to the backup/restore VM. * [Optionally] Move the credentials to some cluster manager and make changes to the scripts to read from there +* Make sure to use absolute path as basepath in below scripts ### For Backup ``` diff --git a/platform/onebox/backup_and_restore/registry/README.md b/platform/onebox/backup_and_restore/registry/README.md new file mode 100644 index 00000000..d2ede24e --- /dev/null +++ b/platform/onebox/backup_and_restore/registry/README.md @@ -0,0 +1,34 @@ +# Registry Backup-Restore + + +## Purpose +To provide backup and restore scripts for registry to handle DR scenarios. +This backs up only the images currently used by any skills +... + + +## Requirements +The Machine where backup/restore runs needs the following: +* Access to AIF machine (public ip address can be obtained via dig) +* jq to be installed, e.g. on Ubuntu ```sudo apt install -y jq``` +* User logged in with permission to run the script and access to above tools +* AIF machines need registry accessible via nodeport. It can be done via ```kubectl -n kurl apply -f registry-np.yaml``` + + +## Usage +* Run get-credentials.sh on AIF machines. It generates a file registry-creds.json. Copy it over to the backup/restore VM. +* [Optionally] Move the credentials to some cluster manager and make changes to the scripts to read from there +# Registry Backup-Restore +* Make sure to use absolute path as basepath in below scripts + +### For Backup +``` +./backup.sh +``` +It creates a folder /registry which contains 1 tar file for every image + +### For Restore +``` +./restore.sh +``` +This looks for a folder registry inside basePath, loads image from tar and pushes to local registry From 3c2ab7fc195ae9b7614ac9ed55219506d3d55142 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Sat, 6 Mar 2021 12:16:19 +0530 Subject: [PATCH 046/267] add docker command creation --- platform/onebox/backup_and_restore/ceph/README.md | 1 + platform/onebox/backup_and_restore/registry/README.md | 2 +- platform/onebox/backup_and_restore/registry/export.sh | 2 ++ 3 files changed, 4 insertions(+), 1 deletion(-) diff --git a/platform/onebox/backup_and_restore/ceph/README.md b/platform/onebox/backup_and_restore/ceph/README.md index a481f1f5..f8ebd871 100644 --- a/platform/onebox/backup_and_restore/ceph/README.md +++ b/platform/onebox/backup_and_restore/ceph/README.md @@ -20,6 +20,7 @@ The Machine where backup/restore runs needs the following: ## Usage * Run get-credentials.sh on AIF machine. It generates a file storage-creds.json. Copy it over to the backup/restore VM. * [Optionally] Move the credentials to some cluster manager and make changes to the scripts to read from there +# Ceph Backup-Restore * Make sure to use absolute path as basepath in below scripts ### For Backup diff --git a/platform/onebox/backup_and_restore/registry/README.md b/platform/onebox/backup_and_restore/registry/README.md index d2ede24e..7cff40b5 100644 --- a/platform/onebox/backup_and_restore/registry/README.md +++ b/platform/onebox/backup_and_restore/registry/README.md @@ -10,7 +10,7 @@ This backs up only the images currently used by any skills ## Requirements The Machine where backup/restore runs needs the following: * Access to AIF machine (public ip address can be obtained via dig) -* jq to be installed, e.g. on Ubuntu ```sudo apt install -y jq``` +* jq, sqlcmd to be installed, e.g. on Ubuntu ```sudo apt install -y jq``` * User logged in with permission to run the script and access to above tools * AIF machines need registry accessible via nodeport. It can be done via ```kubectl -n kurl apply -f registry-np.yaml``` diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index 189eff7c..a3729c4e 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -139,6 +139,8 @@ validate_setup validate_input +formulate_docker_command + docker_setup get_image_list From ea2bb6b1385f1fa3759e390619e193b0dc017486 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Sat, 6 Mar 2021 17:52:22 +0530 Subject: [PATCH 047/267] update fetch db details to handle single/multiple dbs together --- .../backup_and_restore/registry/export.sh | 2 +- .../registry/get-credentials.sh | 20 +++++++++---------- 2 files changed, 11 insertions(+), 11 deletions(-) diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index a3729c4e..dbf5805a 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -86,7 +86,7 @@ function docker_setup() { echo "{\"insecure-registries\": [\"${REGISTRY_ENDPOINT}\"]}" > insecure.json sudo touch /etc/docker/daemon.json daemondiff=$(sudo jq -s '.[0] as $o1 | .[1] as $o2 | ($o1 + $o2) | ."insecure-registries" = ($o1."insecure-registries" + $o2."insecure-registries" | unique)' /etc/docker/daemon.json insecure.json) - sudo echo $daemondiff > /etc/docker/daemon.json + echo $daemondiff | sudo tee /etc/docker/daemon.json # Restart docker sudo service docker restart # Login to docker registry diff --git a/platform/onebox/backup_and_restore/registry/get-credentials.sh b/platform/onebox/backup_and_restore/registry/get-credentials.sh index 1afa0985..11f303ee 100644 --- a/platform/onebox/backup_and_restore/registry/get-credentials.sh +++ b/platform/onebox/backup_and_restore/registry/get-credentials.sh @@ -32,16 +32,16 @@ function validate_setup() { } function get_db_details() { - # Fetch details from provisioning job - provisionPod=$(kubectl get jobs -l app=provision --field-selector status.successful=1 --sort-by=.metadata.creationTimestamp -o jsonpath='{.items[-1:].metadata.name}') - line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_HOST' | grep -v 'SQL_HOST') - readonly DB_CONN=${line##* } - line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_USERNAME' | grep -v 'SQL_USERNAME') - readonly DB_USER=${line##* } - line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'SQL_PASSWORD' | grep -v 'SQL_PASSWORD') - readonly DB_PASSWORD=${line##* } - line=$(kubectl get jobs ${provisionPod} -o yaml | grep -A1 'DEPLOYER_DBNAME' | grep -v 'DEPLOYER_DBNAME') - readonly DB_NAME=${line##* } + + conn=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_URL' | grep -v 'SPRING_DATASOURCE_URL') + line=$(echo $conn | grep -o 'sqlserver://.*;') + readonly DB_CONN=$(basename ${line//;/}) + line=$(echo $conn | grep -o 'databaseName=[a-zA-Z0-9_-]*') + readonly DB_NAME=${line##*=} + user=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_USER' | grep -v 'SPRING_DATASOURCE_USER') + readonly DB_USER=${user##* } + pass=$(kubectl -n aifabric get secret ai-deployer-secrets -o yaml | grep 'DATASOURCE_PASSWORD') + readonly DB_PASSWORD=$(echo ${pass##* } | base64 -d) if [[ -z $DB_CONN || -z $DB_USER || -z $DB_PASSWORD || -z $DB_NAME ]]; then echo "$red $(date) Failed to fetch one or more db info, Please check ... Exiting $default" From bd584f6c93c2922f2a7ac9772e733df65b1b62c3 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Wed, 10 Mar 2021 11:46:08 +0530 Subject: [PATCH 048/267] [AIFBR 7977] Added Cluster backup (#80) * Added Cluster backup * Added post restoration support * Added post sanitization script * Added DM support --- .../clusterResources/export.sh | 66 +++ .../clusterResources/import.sh | 152 +++++++ .../backup_and_restore/packages/export.sh | 2 +- .../backup_and_restore/packages/import.sh | 2 +- .../backup_and_restore/registry/export.sh | 2 +- .../registry/get-credentials.sh | 2 +- .../backup_and_restore/registry/import.sh | 2 +- .../sanitization/postrestore.sh | 377 ++++++++++++++++++ 8 files changed, 600 insertions(+), 5 deletions(-) create mode 100644 platform/onebox/backup_and_restore/clusterResources/export.sh create mode 100644 platform/onebox/backup_and_restore/clusterResources/import.sh create mode 100644 platform/onebox/backup_and_restore/sanitization/postrestore.sh diff --git a/platform/onebox/backup_and_restore/clusterResources/export.sh b/platform/onebox/backup_and_restore/clusterResources/export.sh new file mode 100644 index 00000000..e4278f27 --- /dev/null +++ b/platform/onebox/backup_and_restore/clusterResources/export.sh @@ -0,0 +1,66 @@ +#!/bin/bash + +: ' +This script will export user oriented cluster resources from one enviornmnet to another envrionment +[Script Version -> 21.4]' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Starting export of user namespaces and pipeline cron jobs $default" + +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency velero "velero version" + echo "$(date) Successfully validated required dependencies" +} + +# Backup all UUID namespace using velero +function backup_namespace() { + echo "$(date) Process of user namespaces backup started" + declare -a NAMESPACES=() + + echo "$(date) Fetching list of all UUID namespaces" + readonly NAMESPACES=($(kubectl get ns -A | awk '/[0-9a-fA-F]{8}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{12}/ {print $1}')) + local namespaces_list=$(IFS=, ; echo "${NAMESPACES[*]}") + + backup_name="ai-center-onpremise-backup"-$(date +%s) + velero backup create $backup_name --include-namespaces $namespaces_list + + echo "$(date) Successfully backup all user namespaces with name $backup_name" +} + +# Backup all cron jobs using velero +function backup_cronjobs() { + echo "$(date) Process of cronjobs backup started" + + readonly local backup_name="ai-center-cronjobs-onpremise-backup"-$(date +%s) + readonly local backup_cronjobs_ns="aifabric" + + #backup pipeline cron jobs + velero backup create $backup_name --include-resources cronjobs --include-namespaces $backup_cronjobs_ns + + echo "$(date) Successfully backup all cron jobs in namespace $backup_cronjobs_ns with name $backup_name" +} + +# Validate setup +validate_setup + +# Backup namespaces +backup_namespace + +# Backup cron jobs +backup_cronjobs \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/clusterResources/import.sh b/platform/onebox/backup_and_restore/clusterResources/import.sh new file mode 100644 index 00000000..d2af8f6e --- /dev/null +++ b/platform/onebox/backup_and_restore/clusterResources/import.sh @@ -0,0 +1,152 @@ +#!/bin/bash + +: ' +This script will import user triggered cluster resources from one environment to another environment +[Script Version -> 21.4]' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Starting export of user namespaces and pipeline related cron jobs $default" + +readonly CLUSTER_RESOURCES_EXPORT_FILE=$1 +readonly CORE_SERVICE_NAMESPACE=aifabric +readonly KOTS_REGISTRY_SECRET=kotsadm-replicated-registry + +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency velero "velero version" + echo "$(date) Successfully validated required dependencies" +} + +# Validate input provided by end user +function validate_input() { + + # Validate file path + validate_file_path $CLUSTER_RESOURCES_EXPORT_FILE + + readonly NAMESPACES_BACKUP_NAME=$(cat $CLUSTER_RESOURCES_EXPORT_FILE | jq -r 'select(.namespaceBackupName != null) | .namespaceBackupName') + readonly CRONJOBS_BACKUP_NAME=$(cat $CLUSTER_RESOURCES_EXPORT_FILE | jq -r 'select(.cronjobsBackupName != null) | .cronjobsBackupName') + + if [[ -z $NAMESPACES_BACKUP_NAME || -z $CRONJOBS_BACKUP_NAME ]]; then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" + exit 1 + fi + + echo "$green $(date) Successfully validated user input $default" + } + +# Restore all user related namespaces +function restore_namespace() { + echo "$(date) Process of namespace restoration started" + + # Restore namespaces + velero restore create --from-backup $NAMESPACES_BACKUP_NAME + + echo "$(date) Successfully restore all user namespaces from backup $NAMESPACES_BACKUP_NAME" +} + +# Restore cronjobs +function restore_cronjobs() { + echo "$(date) Process of cronjob restoration started" + + # Restore namespaces + velero restore create --from-backup $CRONJOBS_BACKUP_NAME + echo "$(date) Successfully restore all cronjob from backup $CRONJOBS_BACKUP_NAME" +} + +# Patch secrets in namespaces +function update_secrets_in_namespaces() { + + echo "$(date) Updating secrets" + + # Sleep is required for namespaces to be created + sleep 30 + + # Get docker config secrets + readonly registryCredentials=$(kubectl -n $CORE_SERVICE_NAMESPACE get configmap registry-config -o jsonpath="{.data.REGISTRY_CREDENTIALS_PULL}") + local registryInternalIp=$(kubectl get svc registry -n kurl -o jsonpath={.spec.clusterIP}) + + NAMESPACES=($(kubectl get ns -A | awk '/[0-9a-fA-F]{8}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{12}/ {print $1}')) + + for ((ns = 0; ns < ${#NAMESPACES[@]}; ns = ns + 1)); do + local defaultTokenSecrets=$(kubectl get secrets -n ${NAMESPACES[ns]} --no-headers -o custom-columns=":metadata.name" | grep default-token) + + echo "$(date) Deleting $defaultTokenSecrets in namespace ${NAMESPACES[ns]}" + kubectl -n ${NAMESPACES[ns]} delete secrets $defaultTokenSecrets + + # Deleting storage credentials, will be updated from post resource + if (echo ${NAMESPACES[ns]} | grep "training-"); + then + local trainingStorageSecrets=$(kubectl get secrets -n ${NAMESPACES[ns]} --no-headers -o custom-columns=":metadata.name" | grep training-storage-credentials) + echo "$(date) Deleting $trainingStorageSecrets in namespace ${NAMESPACES[ns]}" + kubectl -n ${NAMESPACES[ns]} delete secrets $trainingStorageSecrets + fi + + # Deleting storage credentials, will be updated from post resource + if (echo ${NAMESPACES[ns]} | grep "data-manager-"); + then + local dataManagerNewSecrets=$(kubectl -n $CORE_SERVICE_NAMESPACE get secrets $KOTS_REGISTRY_SECRET -o jsonpath='{.data.\.dockerconfigjson}') + local appHelperDataManager=$(kubectl get secrets -n ${NAMESPACES[ns]} --no-headers -o custom-columns=":metadata.name" | grep app-data-manager) + local appDataHelperManager=$(kubectl get secrets -n ${NAMESPACES[ns]} --no-headers -o custom-columns=":metadata.name" | grep app-helper-data-manager) + kubectl patch secret $appHelperDataManager -n ${NAMESPACES[ns]} --type='json' -p="[{'op' : 'replace' ,'path' : '/data/.dockerconfigjson' ,'value' : '$dataManagerNewSecrets'}]" + kubectl patch secret $appDataHelperManager -n ${NAMESPACES[ns]} --type='json' -p="[{'op' : 'replace' ,'path' : '/data/.dockerconfigjson' ,'value' : '$dataManagerNewSecrets'}]" + kubectl delete --all deployments --namespace=${NAMESPACES[ns]} + kubectl delete --all svc --namespace=${NAMESPACES[ns]} + fi + + echo "$(date) Updating registry credentials in namespace ${NAMESPACES[ns]}" + kubectl patch secret kurl-registry -n ${NAMESPACES[ns]} --type='json' -p="[{'op' : 'replace' ,'path' : '/data/.dockerconfigjson' ,'value' : '$registryCredentials'}]" + + if [ ${#NAMESPACES[ns]} == 36 ]; then + declare -a DEPLOYMENTS=() + echo "$(date) Fetching list of deployments in skill namespace ${NAMESPACES[ns]}" + DEPLOYMENTS=($(kubectl get deployments --no-headers -o custom-columns=":metadata.name" -n ${NAMESPACES[ns]})) + echo "$(date) Total deployments in namespace ${NAMESPACES[ns]} is ${#DEPLOYMENTS[@]}" + for ((dp = 0; dp < ${#DEPLOYMENTS[@]}; dp = dp + 1)); do + echo "$(date) Patching deployments ${DEPLOYMENTS[dp]} in namespace ${NAMESPACES[ns]}" + imageName=$(kubectl get deployment ${DEPLOYMENTS[dp]} -n ${NAMESPACES[ns]} -o=jsonpath="{..image}") + newImage=$(echo $imageName | sed -r 's/(\b[0-9]{1,3}\.){3}[0-9]{1,3}\b'/"$registryInternalIp"/) + echo "$(date) Old image path: $imageName, new image path: $newImage" + kubectl patch deployment ${DEPLOYMENTS[dp]} -n ${NAMESPACES[ns]} --type json -p="[{'op': 'replace', 'path': '/spec/template/spec/containers/0/image', 'value': '$newImage'}]" + done + fi + done + + echo "$(date) Restore process is completed successfully" +} + +# Validate setup +validate_setup + +# Validate input +validate_input + +# Restore namespaces +restore_namespace + +# Restore cron jobs +restore_cronjobs + +# Update secrets in namespaces +update_secrets_in_namespaces \ No newline at end of file diff --git a/platform/onebox/backup_and_restore/packages/export.sh b/platform/onebox/backup_and_restore/packages/export.sh index bb765c78..296a9c05 100644 --- a/platform/onebox/backup_and_restore/packages/export.sh +++ b/platform/onebox/backup_and_restore/packages/export.sh @@ -408,7 +408,7 @@ function validate_dependency() { function validate_setup() { validate_dependency curl "curl --version" validate_dependency jq "jq --version" - echo "$(date) Successfully validated required dependecies" + echo "$(date) Successfully validated required dependencies" } # Create directory diff --git a/platform/onebox/backup_and_restore/packages/import.sh b/platform/onebox/backup_and_restore/packages/import.sh index 25c0db87..0c7f5647 100644 --- a/platform/onebox/backup_and_restore/packages/import.sh +++ b/platform/onebox/backup_and_restore/packages/import.sh @@ -625,7 +625,7 @@ function validate_input() { function validate_setup() { validate_dependency curl "curl --version" validate_dependency jq "jq --version" - echo "$(date) Successfully validated required dependecies" + echo "$(date) Successfully validated required dependencies" } # Validate Setup diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index 189eff7c..f4511f7c 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -32,7 +32,7 @@ function validate_setup() { validate_dependency sqlcmd "sqlcmd -?" validate_dependency gzip "gzip --version" validate_dependency docker "docker --version" - echo "$(date) Successfully validated required dependecies" + echo "$(date) Successfully validated required dependencies" } diff --git a/platform/onebox/backup_and_restore/registry/get-credentials.sh b/platform/onebox/backup_and_restore/registry/get-credentials.sh index 1afa0985..15af7e90 100644 --- a/platform/onebox/backup_and_restore/registry/get-credentials.sh +++ b/platform/onebox/backup_and_restore/registry/get-credentials.sh @@ -28,7 +28,7 @@ function validate_dependency() { # Validate required modules exits in target setup function validate_setup() { validate_dependency kubectl "kubectl version" - echo "$(date) Successfully validated required dependecies" + echo "$(date) Successfully validated required dependencies" } function get_db_details() { diff --git a/platform/onebox/backup_and_restore/registry/import.sh b/platform/onebox/backup_and_restore/registry/import.sh index 2314bd02..6f16b583 100644 --- a/platform/onebox/backup_and_restore/registry/import.sh +++ b/platform/onebox/backup_and_restore/registry/import.sh @@ -32,7 +32,7 @@ function validate_setup() { validate_dependency sqlcmd "sqlcmd -?" validate_dependency gzip "gzip --version" validate_dependency docker "docker --version" - echo "$(date) Successfully validated required dependecies" + echo "$(date) Successfully validated required dependencies" } diff --git a/platform/onebox/backup_and_restore/sanitization/postrestore.sh b/platform/onebox/backup_and_restore/sanitization/postrestore.sh new file mode 100644 index 00000000..ec51564f --- /dev/null +++ b/platform/onebox/backup_and_restore/sanitization/postrestore.sh @@ -0,0 +1,377 @@ +#!/bin/bash + +: ' +This script will update in-flight operation to terminal state +[ Structure of Json file with exact key name ] + - hostOrFQDN: Public end point from where backend service can be accessible + - identityServerEndPoint: End point where identity server is hosted + - hostTenantName: Host Tenant name registered in identity server + - hostTenantIdOrEmailId: Host tenant id or email Id + - hostTenantPassword: Host tenant password +[Script Version -> 21.4]' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Process of Updating in flight status to terminal state started $default" +readonly POST_RESTORE_CONFIG_FILE=$1 +readonly CORE_SERVICE_NAMESPACE=aifabric +readonly ACCESS_TOKEN_LIFE_TIME=345600 + +# Fetch admin token from identity server end point using host tenant +function fetch_identity_server_token_to_register_client() { + echo "$(date) Fetching identity server client registration token" + + # Generate required endpoints + readonly local antif=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/antiforgery/generate" + readonly local login=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/Login" + readonly local tokenUrl=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/ClientAccessToken" + + dataLogin='{ + "tenant": "'$HOST_TENANT_NAME'", + "usernameOrEmail": "'$HOST_TENANT_USER_ID_OR_EMAIL'", + "password": "'$HOST_TENANT_PASSWORD'", + "rememberLogin": true + }' + + cookie_file="cookfile.txt" + cookie_file_new="cookfile_new.txt" + + # Get token and construct the cookie, save the returned token. + curl --silent --fail --show-error -k -c $cookie_file --request GET "$antif" + + # Replace headers + sed 's/XSRF-TOKEN-IS/XSRF-TOKEN/g' $cookie_file >$cookie_file_new + + token=$(cat $cookie_file_new | grep XSRF-TOKEN | cut -f7 -d$'\t') + + # Authentication -> POST to $login_url with the token in header "X-CSRF-Token: $token". + curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -c $cookie_file_new -b $cookie_file_new -d "$dataLogin" --request POST "$login" -H "Content-Type: application/json" + + # Fetch Acces token + CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") + + if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then + echo "$(date) $red Failed to generate token to register client ... Exiting $default" + exit 1 + fi + + echo "$(date) Successfully fetched client register token" +} + +# Fetch access token to call backend server +function fetch_identity_server_access_token() { + echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" + + readonly local access_token_response=$( + curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + -H 'Content-Type: application/x-www-form-urlencoded' \ + --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ + --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ + --data-urlencode "grant_type=client_credentials" + ) + + if [ -z "$access_token_response" ]; then + echo "$(date) $red Failed to generate access token to call backend server ... Exiting $default" + deregister_client + exit 1 + fi + + ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') + + if [ -z "$ACCESS_TOKEN" ]; then + echo "$(date) $red Failed to extract access token ... Exiting $default" + deregister_client + exit 1 + fi + + echo "$(date) Successfully fetched access token to call backend server " +} + +function deregister_client() { + echo "$(date) De-registering client from $IDENTITY_SERVER_ENDPOINT with name $IS_AIFABRIC_CLIENT_NAME" + curl -k -i --silent --fail --show-error -X DELETE "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client/$IS_AIFABRIC_CLIENT_ID" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" +} + +# Register client and fetch Access token +function register_client_and_fetch_access_token() { + + readonly IS_AIFABRIC_CLIENT_ID="aifabric-"$(openssl rand -hex 10) + readonly IS_AIFABRIC_CLIENT_SECRET=$(openssl rand -hex 32) + readonly IS_AIFABRIC_CLIENT_NAME="aifabric-"$(openssl rand -hex 10) + + # Fetch admin token + fetch_identity_server_token_to_register_client + + # Register client + echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" + + local client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + + if [ -z "$client_creation_response" ]; then + echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" + exit 1 + fi + + # Fetch access token authorize backend server call + fetch_identity_server_access_token +} + +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate API response +# $1 - Api response code +# $2 - Expected response code +# $3 - Success Message +# $4 - Error message +function validate_response_from_api() { + if [ $1 = $2 ]; then + echo "$(date) $3" + elif [ "$1" = "DEFAULT" ]; then + echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting $default" + deregister_client + exit 1 + else + echo "$(date) $4 $default" + deregister_client + exit 1 + fi +} + +# Wait for core service pods to come up +# $1 - Service label +function wait_for_service_pods_liveness() { + echo "$(date) Waiting for core service $1 pod to come up" + local wait_cmd="kubectl -n $CORE_SERVICE_NAMESPACE wait --field-selector status.phase=Running --for=condition=ready --timeout=60s pod -l app=$1" + local sleep_int=10 + local start_time + local pod_ready_timeout=300 + local current_time + local elapsed_time + + # Initial sleep is required + start_time=$(date +"%s") + sleep $sleep_int + eval "$wait_cmd" + while [[ $? -ne 0 ]] + do + sleep $sleep_int + current_time=$(date +"%s") + elapsed_time=$(( current_time - start_time )) + if [[ $elapsed_time -gt $pod_ready_timeout ]] + then + echo "$(date) Timeout waiting for core service: $1 pods/pods to come alive in namespace: $CORE_SERVICE_NAMESPACE" + deregister_client + exit 1 + fi + eval "$wait_cmd" + done +} + +# Validate if data manager is enabled, returns 0 for true, 1 for false +function isDataManagerEnabled() { + local feature_flag_name=data-labeling-enabled + local isDataManagerEnabled=$(kubectl -n $CORE_SERVICE_NAMESPACE get deployment ai-app-deployment -o yaml | grep FEATURE_FLAGS -A 1 | grep $feature_flag_name) + if [ -z "$isDataManagerEnabled" ]; + then + echo "$(date) Data manager is not enabled in this platform" + return 1; + fi + return 0; +} + +# Update core service specific env variables +function update_core_service_env_variables_for_recovery() { + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-deployer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-trainer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-pkgmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric + + # Sleep is needed for pods status to be updated + sleep 2 + + # Update deployer service + wait_for_service_pods_liveness "ai-deployer-deployment" + + # Update trainer service + wait_for_service_pods_liveness "ai-trainer-deployment" + + # Update pkg-manager service + wait_for_service_pods_liveness "ai-pkgmanager-deployment" + + if isDataManagerEnabled; + then + # Update data manager service + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-appmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_NAME, S2S_RECOVERY_AUDIENCE=AiFabric + wait_for_service_pods_liveness "ai-appmanager-deployment" + fi +} + +# Sanitize in flight ML packages +function sanitize_in_flight_ml_packages() { + readonly local ml_packages_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/system/mlpackage/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$ml_packages_sanitize_resp_code" ]; then + resp_code=$(echo "$ml_packages_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully sanitized inflight ML Packages" "$red Failed to sanitized inflight ML Packages ... Exiting" +} + +# Sanitize in flight projects +function sanitize_in_flight_projects() { + readonly local projects_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/system/project/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$projects_sanitize_resp_code" ]; then + resp_code=$(echo "$projects_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "202" "Successfully sanitized inflight projects" "$red Failed to sanitized inflight projects ... Exiting" +} + +# Sanitize in flight ML Skills +function sanitize_in_flight_ml_skills() { + readonly local skills_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/system/mlskills/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$skills_sanitize_resp_code" ]; then + resp_code=$(echo "$skills_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully sanitized inflight ML Skills" "$red Failed to sanitized inflight ML Skills ... Exiting" +} + +# Sanitize in flight namespaces +function sanitize_in_flight_namespaces() { + readonly local sanitize_ns_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-trainer/v1/system/namespace/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$sanitize_ns_resp_code" ]; then + resp_code=$(echo "$sanitize_ns_resp_code" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully sanitized in-flight namespaces" "$red Failed to sanitized in-flight namespaces ... Exiting" +} + +# Sanitize in flight ML Pipelines +function sanitize_in_flight_pipelines() { + readonly local pipeline_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-trainer/v1/system/pipeline/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$pipeline_sanitize_resp_code" ]; then + resp_code=$(echo "$pipeline_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully sanitized in-flight pipeline" "$red Failed to sanitized in-flight pipeline ... Exiting" +} + +# Sanitize in flight Tenants +function sanitize_in_flight_tenants() { + readonly local tenants_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/system/tenant/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$tenants_sanitize_resp_code" ]; then + resp_code=$(echo "$tenants_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "200" "Successfully sanitized in-flight tenants" "$red Failed to sanitized in-flight tenants ... Exiting" +} + +# Sanitize in flight data manager apps +function sanitize_in_flight_data_manager_apps() { + readonly local app_manager_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-appmanager/v1/system/app/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + + local resp_code=DEFAULT + if [ ! -z "$tenants_sanitize_resp_code" ]; then + resp_code=$(echo "$tenants_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') + fi + + validate_response_from_api $resp_code "202" "Successfully sanitized data manager app" "$red Failed to sanitized data manager app ... Exiting" +} + +function sanitize_core_services_in_flight_operation() { + echo "$(date) Sanitizing core services in flight operations" + sanitize_in_flight_ml_packages + sleep 5 + sanitize_in_flight_pipelines + sleep 5 + sanitize_in_flight_namespaces + sleep 5 + sanitize_in_flight_ml_skills + sleep 5 + sanitize_i_flight_projects + sleep 5 + sanitize_in_flight_tenants + + if isDataManagerEnabled; + then + # Update data manager service + sanitize_in_flight_data_manager_apps + fi + echo "$(date) Successfully sanitized in-flight core services operations" +} + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency curl "curl --version" + validate_dependency jq "jq --version" + echo "$(date) Successfully validated required dependencies" +} + +# Validate input provided by end user +function validate_input() { + + # Validate file path + validate_file_path $POST_RESTORE_CONFIG_FILE + + readonly INGRESS_HOST_OR_FQDN=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') + readonly IDENTITY_SERVER_ENDPOINT=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.identityServerEndPoint != null) | .identityServerEndPoint') + readonly HOST_TENANT_NAME=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantName != null) | .hostTenantName') + readonly HOST_TENANT_USER_ID_OR_EMAIL=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantIdOrEmailId != null) | .hostTenantIdOrEmailId') + readonly HOST_TENANT_PASSWORD=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantPassword != null) | .hostTenantPassword') + + if [[ -z $INGRESS_HOST_OR_FQDN || -z $IDENTITY_SERVER_ENDPOINT || -z $HOST_TENANT_NAME || -z $HOST_TENANT_USER_ID_OR_EMAIL || -z $HOST_TENANT_PASSWORD ]]; then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" + exit 1 + fi + + echo "$green $(date) Successfully validated user input $default" +} + +# Validate setup +validate_setup + +# Validate input +validate_input + +# Register Client and fetch access token +register_client_and_fetch_access_token + +# Update core service env variables +update_core_service_env_variables_for_recovery + +# Sanitize core services in flight operations +sanitize_core_services_in_flight_operation + +echo "$green $(date) Successfully updated in flight user operations to end state" \ No newline at end of file From 3159a86cc3700705b728b621acb3988150d65eac Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 9 Mar 2021 19:21:50 +0200 Subject: [PATCH 049/267] Add hw-ocr metadata --- .../HandwritingRecognition__2__metadata.json | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/HandwritingRecognition__2__metadata.json diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json new file mode 100644 index 00000000..320852b6 --- /dev/null +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "Release v2021.04", + "cpu": 0, + "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "displayName": "HandwritingRecognition", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "HandwritingRecognition", + "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, + "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:2" +} From 4e4ade366a0619a6b27633f9f09ab18d2bb9d0c6 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 11 Mar 2021 13:32:57 +0200 Subject: [PATCH 050/267] Add english text classifier v3 metadata --- ...nglishTextClassification__3__metadata.json | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/EnglishTextClassification__3__metadata.json diff --git a/metadata/EnglishTextClassification__3__metadata.json b/metadata/EnglishTextClassification__3__metadata.json new file mode 100644 index 00000000..e1276352 --- /dev/null +++ b/metadata/EnglishTextClassification__3__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", + "displayName": "EnglishTextClassification", + "gpu": 0, + "inputDescription": "Text to be classified as String: 'I loved this movie.'", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "EnglishTextClassification", + "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", + "processorType": "GPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v20.7.1", + "languageVersion": 0, + "imagePath": "registry.replicated.com/aif-core/englishtextclassification:3" +} From 8ab09594f4b21d85019a802fee7bf2f591aacee8 Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Mon, 15 Mar 2021 10:25:44 +0530 Subject: [PATCH 051/267] Update get-credentials.sh --- platform/onebox/backup_and_restore/registry/get-credentials.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform/onebox/backup_and_restore/registry/get-credentials.sh b/platform/onebox/backup_and_restore/registry/get-credentials.sh index 644587a0..cf92bb99 100644 --- a/platform/onebox/backup_and_restore/registry/get-credentials.sh +++ b/platform/onebox/backup_and_restore/registry/get-credentials.sh @@ -40,7 +40,7 @@ function get_db_details() { readonly DB_NAME=${line##*=} user=$(kubectl -n aifabric get deployment ai-deployer-deployment -o yaml | grep -A1 'SPRING_DATASOURCE_USER' | grep -v 'SPRING_DATASOURCE_USER') readonly DB_USER=${user##* } - pass=$(kubectl -n aifabric get secret ai-deployer-secrets -o yaml | grep 'DATASOURCE_PASSWORD') + pass=$(kubectl -n aifabric get secret ai-deployer-secrets -o yaml | grep 'DATASOURCE_PASSWORD' | grep -v ':DATASOURCE_PASSWORD') readonly DB_PASSWORD=$(echo ${pass##* } | base64 -d) if [[ -z $DB_CONN || -z $DB_USER || -z $DB_PASSWORD || -z $DB_NAME ]]; then From 38489ddc5f44ca1567bdd38db7b97d70e97a64e4 Mon Sep 17 00:00:00 2001 From: irinel-birsan-uipath <42834544+irinel-birsan-uipath@users.noreply.github.com> Date: Mon, 15 Mar 2021 10:36:26 +0200 Subject: [PATCH 052/267] Add DocumentClassifier metadata (#91) Co-authored-by: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> --- metadata/DocumentClassifier__2__metadata.json | 23 +++++++++++++++++++ ...nglishTextClassification__3__metadata.json | 23 ------------------- 2 files changed, 23 insertions(+), 23 deletions(-) create mode 100644 metadata/DocumentClassifier__2__metadata.json delete mode 100644 metadata/EnglishTextClassification__3__metadata.json diff --git a/metadata/DocumentClassifier__2__metadata.json b/metadata/DocumentClassifier__2__metadata.json new file mode 100644 index 00000000..29aac3ce --- /dev/null +++ b/metadata/DocumentClassifier__2__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/documentclassifier:2" +} diff --git a/metadata/EnglishTextClassification__3__metadata.json b/metadata/EnglishTextClassification__3__metadata.json deleted file mode 100644 index e1276352..00000000 --- a/metadata/EnglishTextClassification__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", - "displayName": "EnglishTextClassification", - "gpu": 0, - "inputDescription": "Text to be classified as String: 'I loved this movie.'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "EnglishTextClassification", - "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", - "processorType": "GPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/englishtextclassification:3" -} From 4dc5196e9ebc7a28fd71106780cfd2539a1025e5 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Tue, 16 Mar 2021 15:36:18 +0530 Subject: [PATCH 053/267] handle configmap --- .../onebox/backup_and_restore/registry/get-credentials.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform/onebox/backup_and_restore/registry/get-credentials.sh b/platform/onebox/backup_and_restore/registry/get-credentials.sh index cf92bb99..43d9854f 100644 --- a/platform/onebox/backup_and_restore/registry/get-credentials.sh +++ b/platform/onebox/backup_and_restore/registry/get-credentials.sh @@ -80,9 +80,9 @@ function get_registry_details() { readonly REGISTRY_CONN=${REGISTRY_IP}:${port} # get credentials - line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_USERNAME') + line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_USERNAME' | grep -v 'f:REGISTRY_USERNAME') readonly REGISTRY_USER=${line##* } - line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_PASSWORD') + line=$(kubectl -n aifabric get configmap registry-config -o yaml | grep 'REGISTRY_PASSWORD' | grep -v 'f:REGISTRY_PASSWORD') readonly REGISTRY_PASSWORD=${line##* } # get old ip From 5c6517a01a62495c3f5612772429a87441a363b5 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Tue, 16 Mar 2021 18:56:01 +0530 Subject: [PATCH 054/267] fix scripts --- .../clusterResources/export.sh | 4 ++-- .../backup_and_restore/registry/import.sh | 18 +++++++++--------- .../sanitization/postrestore.sh | 11 +++++++---- 3 files changed, 18 insertions(+), 15 deletions(-) diff --git a/platform/onebox/backup_and_restore/clusterResources/export.sh b/platform/onebox/backup_and_restore/clusterResources/export.sh index e4278f27..8b8b93f7 100644 --- a/platform/onebox/backup_and_restore/clusterResources/export.sh +++ b/platform/onebox/backup_and_restore/clusterResources/export.sh @@ -34,8 +34,8 @@ function backup_namespace() { declare -a NAMESPACES=() echo "$(date) Fetching list of all UUID namespaces" - readonly NAMESPACES=($(kubectl get ns -A | awk '/[0-9a-fA-F]{8}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{12}/ {print $1}')) - local namespaces_list=$(IFS=, ; echo "${NAMESPACES[*]}") + readonly NAMESPACES=$(kubectl get ns -A | awk '/[0-9a-fA-F]{8}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{4}\-[0-9a-fA-F]{12}/ {print $1}') + local namespaces_list=$(echo "$NAMESPACES" | paste -s -d, /dev/stdin) backup_name="ai-center-onpremise-backup"-$(date +%s) velero backup create $backup_name --include-namespaces $namespaces_list diff --git a/platform/onebox/backup_and_restore/registry/import.sh b/platform/onebox/backup_and_restore/registry/import.sh index 6f16b583..9123f1d9 100644 --- a/platform/onebox/backup_and_restore/registry/import.sh +++ b/platform/onebox/backup_and_restore/registry/import.sh @@ -77,15 +77,15 @@ formulate_docker_command() { } function docker_setup() { - # Mark docker registry as unauth => Adapt for other envs - echo "{\"insecure-registries\": [\"${REGISTRY_ENDPOINT}\"]}" > insecure.json - sudo touch /etc/docker/daemon.json - daemondiff=$(sudo jq -s '.[0] as $o1 | .[1] as $o2 | ($o1 + $o2) | ."insecure-registries" = ($o1."insecure-registries" + $o2."insecure-registries" | unique)' /etc/docker/daemon.json insecure.json) - sudo echo $daemondiff > /etc/docker/daemon.json - # Restart docker - sudo service docker restart - # Login to docker registry - ${DOCKER_COMMAND} login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} + # Mark docker registry as unauth => Adapt for other envs + echo "{\"insecure-registries\": [\"${REGISTRY_ENDPOINT}\"]}" > insecure.json + sudo touch /etc/docker/daemon.json + daemondiff=$(sudo jq -s '.[0] as $o1 | .[1] as $o2 | ($o1 + $o2) | ."insecure-registries" = ($o1."insecure-registries" + $o2."insecure-registries" | unique)' /etc/docker/daemon.json insecure.json) + echo $daemondiff | sudo tee /etc/docker/daemon.json + # Restart docker + sudo service docker restart + # Login to docker registry + ${DOCKER_COMMAND} login ${REGISTRY_ENDPOINT} -u ${REGISTRY_USER} -p ${REGISTRY_PASSWORD} } function load_image() { diff --git a/platform/onebox/backup_and_restore/sanitization/postrestore.sh b/platform/onebox/backup_and_restore/sanitization/postrestore.sh index ec51564f..a3dbfdc1 100644 --- a/platform/onebox/backup_and_restore/sanitization/postrestore.sh +++ b/platform/onebox/backup_and_restore/sanitization/postrestore.sh @@ -193,21 +193,24 @@ function isDataManagerEnabled() { # Update core service specific env variables function update_core_service_env_variables_for_recovery() { + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-pkgmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-deployer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-trainer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric - kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-pkgmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric + # Sleep is needed for pods status to be updated sleep 2 + # Update pkg-manager service + wait_for_service_pods_liveness "ai-pkgmanager-deployment" + # Update deployer service wait_for_service_pods_liveness "ai-deployer-deployment" # Update trainer service wait_for_service_pods_liveness "ai-trainer-deployment" - # Update pkg-manager service - wait_for_service_pods_liveness "ai-pkgmanager-deployment" + sleep 2 if isDataManagerEnabled; then @@ -311,7 +314,7 @@ function sanitize_core_services_in_flight_operation() { sleep 5 sanitize_in_flight_ml_skills sleep 5 - sanitize_i_flight_projects + sanitize_in_flight_projects sleep 5 sanitize_in_flight_tenants From 4559fe9842918b6ed7709f099dba468a0097b557 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Thu, 18 Mar 2021 15:25:35 +0530 Subject: [PATCH 055/267] Fixed script (#94) --- platform/onebox/backup_and_restore/sanitization/postrestore.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/platform/onebox/backup_and_restore/sanitization/postrestore.sh b/platform/onebox/backup_and_restore/sanitization/postrestore.sh index a3dbfdc1..cfe13646 100644 --- a/platform/onebox/backup_and_restore/sanitization/postrestore.sh +++ b/platform/onebox/backup_and_restore/sanitization/postrestore.sh @@ -215,7 +215,7 @@ function update_core_service_env_variables_for_recovery() { if isDataManagerEnabled; then # Update data manager service - kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-appmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_NAME, S2S_RECOVERY_AUDIENCE=AiFabric + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-appmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_NAME S2S_RECOVERY_AUDIENCE=AiFabric wait_for_service_pods_liveness "ai-appmanager-deployment" fi } From e453576de4536d06cba5fb419cd9d5d06919548f Mon Sep 17 00:00:00 2001 From: Mohit Seth Date: Sat, 20 Mar 2021 18:13:08 +0530 Subject: [PATCH 056/267] Fixing Special character --- .../orchestratorAutomationAIC21-4.ps1 | 455 +++++++++--------- 1 file changed, 227 insertions(+), 228 deletions(-) diff --git a/orchestrator/orchestratorAutomationAIC21-4.ps1 b/orchestrator/orchestratorAutomationAIC21-4.ps1 index 292134ba..ffc6dbc8 100644 --- a/orchestrator/orchestratorAutomationAIC21-4.ps1 +++ b/orchestrator/orchestratorAutomationAIC21-4.ps1 @@ -1,229 +1,228 @@ -#Requires -RunAsAdministrator - -<# - -.SYNOPSIS - Makes aifabric related changes to orchestrator web.config to enable aifabric installation and access. -.DESCRIPTION - Add entries in orchestrator web.config(if not exists) for orchestrator internal IDP and aifabric access from robot and orchestrator. - Removes cache to allow access to new controllers and resets iis to load new values. -.NOTES - Name: ./orchestratorAutomation.ps1 - Author: AIFabric Team - Pre-Requisites: script has to be executed throuh powershell in Administrator mode & before running script set execution policy to RemoteSigned by running "Set-ExecutionPolicy RemoteSigned" -.EXAMPLE - If aifabric is available at ww.xx.yy.zz, command to run would be - .\orchestratorAutomation.ps1 -aifip ww.xx.yy.zz - - If ai-app is accessed via domain instead of IP:PORT combo, then enable domainBasedAccess to true - .\orchestratorAutomation.ps1 -aifip "aif-sahil-aks.westeurope.cloudapp.azure.com" -portlessAccess "true" - - If Orchestrator Installation Path has to be specified, - .\orchestratorAutomation.ps1 -aifip ww.xx.yy.zz -config "C:\Program Files (x86)\UiPath\Orchestrator" - -#> - -Param ( - [Parameter(Mandatory = $true, ValueFromPipelineByPropertyName)] - [string] $aifip, - [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] - [string] $config, - [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] - [string] $aifport, - [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] - [string] $portlessAccess, - [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] - [string] $storageport -) - -Import-Module 'WebAdministration' - - -if(!$config){ - $config = "C:\Program Files (x86)\UiPath\Orchestrator" -} - -#if path does not end with \ add it -if( $config -notmatch '\\$' ){ - $config += '\' -} - -$dll_config = $config + 'UiPath.Orchestrator.dll.config' - -#Fetching Orchestrator version -if(Test-Path $dll_config){ - $orchestrator_version = [System.Diagnostics.FileVersionInfo]::GetVersionInfo($config + 'UiPath.Orchestrator.web.dll').FileVersion - echo "Orchestrator version : $orchestrator_version" -} - -if(Test-Path $dll_config){ - $config = $config + 'UiPath.Orchestrator.dll.config' - $configFile = 'UiPath.Orchestrator.dll.config' -} else { - $config = $config + 'web.config' - $configFile = 'web.config' -} - -#Check for the existence of config file -if(-not (Test-Path $config)){ - throw "$config File does not Exists. Please make sure that the Orchestrator installation folder is correct !" - exit -} - - -if(!$aifport){ - $aifport = "31390" -} - -if(!$storageport){ - $storageport = "31443" -} - -if($portlessAccess.Length -gt 0){ - $portlessAccess = $portlessAccess.ToString() -} else { - $portlessAccess = "false" -} - -echo "Path to Web config: "$config - -Copy-Item $config -Destination ("$config.original."+(Get-Date -Format "MMddyyyy.HH.mm.ss")) - - -if($portlessAccess -eq "true"){ - $hostName = $aifip -} else{ - $hostName = "$($aifip):$($aifport)" -} - - -#AiFabric Settings template -$STATIC_NODES_STRING=' - - - - - - - - - - - - - - - - - -' - -if($aifip.StartsWith("http://") -or $aifip.StartsWith("https://")) -{ - echo "aifip should not start with http or https" - throw "Invalid aifip input provided: $aifip" -} - - -# set nodes value -$STATIC_NODES_STRING = $STATIC_NODES_STRING.Replace("{{hostName}}",$hostName); -$STATIC_NODES_STRING = $STATIC_NODES_STRING.Replace("{{aifip}}",$aifip); -$STATIC_NODES_STRING = $STATIC_NODES_STRING.Replace("{{storageport}}",$storageport); -$STATIC_NODES = [xml]$STATIC_NODES_STRING - -# edit web config -function AifabricFixedConfig -{ - $nodes = Select-Xml -XPath '//add' -Xml $STATIC_NODES - - $file = gi $config - $xml = [xml](gc $file) - foreach($node in $nodes) - { - #remove existing nodes if they exist. They should not. - $key = $node.Node.key - $xml.SelectNodes("configuration/appSettings/add[@key='$key']") | %{$xml.configuration.appSettings.RemoveChild($_)} - $xml.configuration.appSettings.AppendChild($xml.ImportNode($node.Node,1)) - } - - $xml.Save($file.FullName) -} - -# Reset IIS to reload values -function Retry-IISRESET -{ - param ( - [Parameter(Mandatory=$false)][int]$retries = 5, - [Parameter(Mandatory=$false)][int]$secondsDelay = 2 - ) - - $retrycount = 0 - $completed = $false - - while (-not $completed) { - try { - iisreset | Tee-Object -Variable statusiisreset - if("$statusiisreset".Contains("failed")) - { - throw - } - Write-Verbose ("reset succeded") - $completed = $true - } catch { - if ($retrycount -ge $retries) { - throw - } else { - Start-Sleep $secondsDelay - $retrycount++ - } - } - } -} - -# remove cache -function EmptyAspNetCache -{ - $Framework32bitFolder = "\Framework\" - $Framework64bitFolder = "\Framework64\" - $temporaryAspNetFolder = "Temporary ASP.NET Files\root" - $ControllerCacheFileName = "MS-ApiControllerTypeCache.xml" - $aspNetCacheFolder = [System.Runtime.InteropServices.RuntimeEnvironment]::GetRuntimeDirectory()+$temporaryAspNetFolder - if ([Environment]::Is64BitOperatingSystem) - { - $aspNetCacheFolder = $aspNetCacheFolder.Replace($Framework32bitFolder, $Framework64bitFolder); - } - if (!(Test-Path $aspNetCacheFolder)) - { - echo $"Folder $aspNetCacheFolder not found for removing $ControllerCacheFileName" - return - } - echo $"Removing $ControllerCacheFileName files from ASP.NET cache folder $aspNetCacheFolder" - Get-Childitem –Path $aspNetCacheFolder -Include $ControllerCacheFileName -Recurse | ForEach { - $retrycount = 0 - $retries = 3 - $completed = $false - - while (-not $completed) { - try { - Remove-Item $_.FullName - $completed = $true - } catch { - if ($retrycount -ge $retries) { - throw - } else { - Start-Sleep 2 - $retrycount++ - } - } - } - - echo $"Removed $ControllerCacheFileName" - } -} - -#create the proper web.config with configuration -AifabricFixedConfig -EmptyAspNetCache -Retry-IISRESET 3 2 -Sleep 2 +#Requires -RunAsAdministrator + +<# + +.SYNOPSIS + Makes aifabric related changes to orchestrator web.config to enable aifabric installation and access. +.DESCRIPTION + Add entries in orchestrator web.config(if not exists) for orchestrator internal IDP and aifabric access from robot and orchestrator. + Removes cache to allow access to new controllers and resets iis to load new values. +.NOTES + Name: ./orchestratorAutomation.ps1 + Author: AIFabric Team + Pre-Requisites: script has to be executed throuh powershell in Administrator mode & before running script set execution policy to RemoteSigned by running "Set-ExecutionPolicy RemoteSigned" +.EXAMPLE + If aifabric is available at ww.xx.yy.zz, command to run would be + .\orchestratorAutomation.ps1 -aifip ww.xx.yy.zz + + If ai-app is accessed via domain instead of IP:PORT combo, then enable domainBasedAccess to true + .\orchestratorAutomation.ps1 -aifip "aif-sahil-aks.westeurope.cloudapp.azure.com" -portlessAccess "true" + + If Orchestrator Installation Path has to be specified, + .\orchestratorAutomation.ps1 -aifip ww.xx.yy.zz -config "C:\Program Files (x86)\UiPath\Orchestrator" + +#> + +Param ( + [Parameter(Mandatory = $true, ValueFromPipelineByPropertyName)] + [string] $aifip, + [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] + [string] $config, + [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] + [string] $aifport, + [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] + [string] $portlessAccess, + [Parameter(Mandatory = $false, ValueFromPipelineByPropertyName)] + [string] $storageport +) + +Import-Module 'WebAdministration' + + +if(!$config){ + $config = "C:\Program Files (x86)\UiPath\Orchestrator" +} + +#if path does not end with \ add it +if( $config -notmatch '\\$' ){ + $config += '\' +} + +$dll_config = $config + 'UiPath.Orchestrator.dll.config' + +#Fetching Orchestrator version +if(Test-Path $dll_config){ + $orchestrator_version = [System.Diagnostics.FileVersionInfo]::GetVersionInfo($config + 'UiPath.Orchestrator.web.dll').FileVersion + echo "Orchestrator version : $orchestrator_version" +} + +if(Test-Path $dll_config){ + $config = $config + 'UiPath.Orchestrator.dll.config' + $configFile = 'UiPath.Orchestrator.dll.config' +} else{ + $config = $config + 'web.config' + $configFile = 'web.config' +} + +#Check for the existence of config file +if(-not (Test-Path $config)){ + throw "$config File does not Exists. Please make sure that the Orchestrator installation folder is correct !" + exit +} + +if(!$aifport){ + $aifport = "31390" +} + +if(!$storageport){ + $storageport = "31443" +} + +if($portlessAccess.Length -gt 0){ + $portlessAccess = $portlessAccess.ToString() +} else { + $portlessAccess = "false" +} + +echo "Path to Web config: "$config + +Copy-Item $config -Destination ("$config.original."+(Get-Date -Format "MMddyyyy.HH.mm.ss")) + + +if($portlessAccess -eq "true"){ + $hostName = $aifip +} else{ + $hostName = "$($aifip):$($aifport)" +} + + +#AiFabric Settings template +$STATIC_NODES_STRING=' + + + + + + + + + + + + + + + + + +' + +if($aifip.StartsWith("http://") -or $aifip.StartsWith("https://")) +{ + echo "aifip should not start with http or https" + throw "Invalid aifip input provided: $aifip" +} + + +# set nodes value +$STATIC_NODES_STRING = $STATIC_NODES_STRING.Replace("{{hostName}}",$hostName); +$STATIC_NODES_STRING = $STATIC_NODES_STRING.Replace("{{aifip}}",$aifip); +$STATIC_NODES_STRING = $STATIC_NODES_STRING.Replace("{{storageport}}",$storageport); +$STATIC_NODES = [xml]$STATIC_NODES_STRING + +# edit web config +function AifabricFixedConfig +{ + $nodes = Select-Xml -XPath '//add' -Xml $STATIC_NODES + + $file = gi $config + $xml = [xml](gc $file) + foreach($node in $nodes) + { + #remove existing nodes if they exist. They should not. + $key = $node.Node.key + $xml.SelectNodes("configuration/appSettings/add[@key='$key']") | %{$xml.configuration.appSettings.RemoveChild($_)} + $xml.configuration.appSettings.AppendChild($xml.ImportNode($node.Node,1)) + } + + $xml.Save($file.FullName) +} + +# Reset IIS to reload values +function Retry-IISRESET +{ + param ( + [Parameter(Mandatory=$false)][int]$retries = 5, + [Parameter(Mandatory=$false)][int]$secondsDelay = 2 + ) + + $retrycount = 0 + $completed = $false + + while (-not $completed) { + try { + iisreset | Tee-Object -Variable statusiisreset + if("$statusiisreset".Contains("failed")) + { + throw + } + Write-Verbose ("reset succeded") + $completed = $true + } catch { + if ($retrycount -ge $retries) { + throw + } else { + Start-Sleep $secondsDelay + $retrycount++ + } + } + } +} + +# remove cache +function EmptyAspNetCache +{ + $Framework32bitFolder = "\Framework\" + $Framework64bitFolder = "\Framework64\" + $temporaryAspNetFolder = "Temporary ASP.NET Files\root" + $ControllerCacheFileName = "MS-ApiControllerTypeCache.xml" + $aspNetCacheFolder = [System.Runtime.InteropServices.RuntimeEnvironment]::GetRuntimeDirectory()+$temporaryAspNetFolder + if ([Environment]::Is64BitOperatingSystem) + { + $aspNetCacheFolder = $aspNetCacheFolder.Replace($Framework32bitFolder, $Framework64bitFolder); + } + if (!(Test-Path $aspNetCacheFolder)) + { + echo $"Folder $aspNetCacheFolder not found for removing $ControllerCacheFileName" + return + } + echo $"Removing $ControllerCacheFileName files from ASP.NET cache folder $aspNetCacheFolder" + Get-Childitem -Path $aspNetCacheFolder -Include $ControllerCacheFileName -Recurse | ForEach { + $retrycount = 0 + $retries = 3 + $completed = $false + + while (-not $completed) { + try { + Remove-Item $_.FullName + $completed = $true + } catch { + if ($retrycount -ge $retries) { + throw + } else { + Start-Sleep 2 + $retrycount++ + } + } + } + + echo $"Removed $ControllerCacheFileName" + } +} + +#create the proper web.config with configuration +AifabricFixedConfig +EmptyAspNetCache +Retry-IISRESET 3 2 +Sleep 2 echo "Orchestrator configured successfully" \ No newline at end of file From 9f5ebd784849ae8d2e1e9408f5263e708ef03b1e Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Mon, 22 Mar 2021 15:57:07 +0530 Subject: [PATCH 057/267] Added Dependency checks & update flag --- .../onebox/backup_and_restore/ceph/export.sh | 33 ++++++++++++--- .../onebox/backup_and_restore/ceph/import.sh | 41 +++++++++++++++---- 2 files changed, 59 insertions(+), 15 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index 589582c0..c3250315 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -26,6 +26,23 @@ function validate_file_path() { fi } +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency "aws s3" "aws --version" + echo "$(date) Successfully validated required dependencies" +} + function initialize_variables() { # Validate file path validate_file_path $CREDENTIALS_FILE @@ -45,7 +62,7 @@ function list_buckets() { function get_cors_policy() { BUCKET_NAME=${1} - aws --endpoint-url $AWS_ENDPOINT --no-verify-ssl s3api get-bucket-cors --bucket ${BUCKET_NAME} > ${FOLDER}${BUCKET_NAME}-cors.json + aws --endpoint-url $AWS_ENDPOINT --no-verify-ssl s3api get-bucket-cors --bucket ${BUCKET_NAME} >${FOLDER}${BUCKET_NAME}-cors.json } function download_blob() { @@ -56,21 +73,25 @@ function download_blob() { echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" } - function sync_buckets() { - while read line; - do + while read line; do echo "Response line: '${line}'" - bucket=$(echo ${line}| cut -d" " -f3) + bucket=$(echo ${line} | cut -d" " -f3) # get cors policy on bucket get_cors_policy $bucket # download bucket contents => Ceph issue limits it to 1000 blobs download_blob $bucket - done <<< "$BUCKETS" + done <<<"$BUCKETS" } +# Validate Setup +validate_setup + +# Update ENV Variables initialize_variables +# List buckets list_buckets +# Sync Buckets sync_buckets diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index 5733b59a..d56b2126 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -50,10 +50,10 @@ function upload_blob() { BUCKET_NAME=${1} DIR_NAME=${2} # create bucket if not exists - local check_bucket=$(s3cmd info --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate -q) - if [ ! -z "$check_bucket" ]; then + local check_bucket=$(s3cmd info --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate -q) + if [ -z "$check_bucket" ]; then echo "$green $(date) Creating bucket ${BUCKET_NAME} $default" - s3cmd mb --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate + s3cmd mb --host=${AWS_ENDPOINT} --host-bucket= s3://${BUCKET_NAME} --no-check-certificate else echo "$yellow $(date) Bucket exists: ${BUCKET_NAME}, skipping $default" fi @@ -74,19 +74,42 @@ function update_cors_policy() { } function process_buckets() { - while read dir; - do echo "Processing directory: '${dir}'" + while read dir; do + echo "Processing directory: '${dir}'" # aws doesn't allow underscores in bucket name - bucket=${dir//_/-} - # Create and sync bucket contents + bucket=${dir//_/-} + # Create and sync bucket contents upload_blob ${bucket} ${dir} update_cors_policy ${bucket} ${dir} - done <<< "$DIRS"; + done <<<"$DIRS" } +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + list=$($2) + if [ -z "$list" ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency "aws s3" "aws --version" + validate_dependency s3cmd "s3cmd --version" + echo "$(date) Successfully validated required dependencies" +} + +# Validate Setup +validate_setup +# Update ENV Variables initialize_variables +# List Buckets list_buckets -process_buckets +# Process data inside buckets +process_buckets From 2efc9cbfb1f073cfbfed724e0ee23995df77c745 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Mon, 22 Mar 2021 15:10:51 +0200 Subject: [PATCH 058/267] Add uipathdocumentocr:3 --- metadata/UiPathDocumentOCR__3__metadata.json | 23 ++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/UiPathDocumentOCR__3__metadata.json diff --git a/metadata/UiPathDocumentOCR__3__metadata.json b/metadata/UiPathDocumentOCR__3__metadata.json new file mode 100644 index 00000000..a7547787 --- /dev/null +++ b/metadata/UiPathDocumentOCR__3__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "Model v21.1.7", + "cpu": 0, + "description": "Machine Learning model for extracting text from Documents. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:3" +} \ No newline at end of file From b224aaca5908d1ebf318d9f082f7e845aabbaca7 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Tue, 23 Mar 2021 08:25:41 +0530 Subject: [PATCH 059/267] Fixed script (#99) --- platform/onebox/backup_and_restore/ceph/export.sh | 5 +++-- platform/onebox/backup_and_restore/ceph/import.sh | 5 +++-- platform/onebox/backup_and_restore/packages/export.sh | 4 ++-- platform/onebox/backup_and_restore/packages/import.sh | 4 ++-- platform/onebox/backup_and_restore/registry/export.sh | 4 ++-- 5 files changed, 12 insertions(+), 10 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index c3250315..5adfb721 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -30,8 +30,9 @@ function validate_file_path() { # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + $($2) + # Next statement is checking last command success aws --version has some issue + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index d56b2126..e5387aba 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -88,8 +88,9 @@ function process_buckets() { # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + $($2) + # Next statement is checking last command success aws --version has some issue + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/packages/export.sh b/platform/onebox/backup_and_restore/packages/export.sh index 296a9c05..9d85a1e2 100644 --- a/platform/onebox/backup_and_restore/packages/export.sh +++ b/platform/onebox/backup_and_restore/packages/export.sh @@ -393,8 +393,8 @@ function validate_input() { echo "$(date) Successfully validated user input" } -# Validate dependecny module -# $1 - Name of the dependecny module +# Validate dependency module +# $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { list=$($2) diff --git a/platform/onebox/backup_and_restore/packages/import.sh b/platform/onebox/backup_and_restore/packages/import.sh index 0c7f5647..0968b94b 100644 --- a/platform/onebox/backup_and_restore/packages/import.sh +++ b/platform/onebox/backup_and_restore/packages/import.sh @@ -581,8 +581,8 @@ function validate_file_path() { fi } -# Validate dependecny module -# $1 - Name of the dependecny module +# Validate dependency module +# $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { list=$($2) diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index c62c45c8..f75d6157 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -14,8 +14,8 @@ default=$(tput sgr0) readonly REGISTRY_EXPORT_FILE=$1 readonly EXPORT_PATH=$2/registry -# Validate dependecny module -# $1 - Name of the dependecny module +# Validate dependency module +# $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { list=$($2) From ac4b81260a078ed50e025492515e9a99ef1c1f51 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Tue, 23 Mar 2021 11:28:41 +0530 Subject: [PATCH 060/267] Added dependency check --- platform/onebox/backup_and_restore/ceph/export.sh | 2 +- platform/onebox/backup_and_restore/ceph/import.sh | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index 5adfb721..9143bbbe 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -30,7 +30,7 @@ function validate_file_path() { # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - $($2) + eval $2 # Next statement is checking last command success aws --version has some issue if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" diff --git a/platform/onebox/backup_and_restore/ceph/import.sh b/platform/onebox/backup_and_restore/ceph/import.sh index e5387aba..8d547aa6 100644 --- a/platform/onebox/backup_and_restore/ceph/import.sh +++ b/platform/onebox/backup_and_restore/ceph/import.sh @@ -88,7 +88,7 @@ function process_buckets() { # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - $($2) + eval $2 # Next statement is checking last command success aws --version has some issue if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" From 06444e9917d2204910d4c21a4295b64e34735142 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Tue, 23 Mar 2021 11:36:24 +0530 Subject: [PATCH 061/267] Enhanced validation check --- .../onebox/backup_and_restore/clusterResources/export.sh | 5 +++-- .../onebox/backup_and_restore/clusterResources/import.sh | 5 +++-- platform/onebox/backup_and_restore/packages/export.sh | 5 +++-- platform/onebox/backup_and_restore/packages/import.sh | 5 +++-- platform/onebox/backup_and_restore/registry/export.sh | 5 +++-- platform/onebox/backup_and_restore/registry/import.sh | 5 +++-- .../onebox/backup_and_restore/sanitization/postrestore.sh | 5 +++-- 7 files changed, 21 insertions(+), 14 deletions(-) diff --git a/platform/onebox/backup_and_restore/clusterResources/export.sh b/platform/onebox/backup_and_restore/clusterResources/export.sh index 8b8b93f7..5ab98649 100644 --- a/platform/onebox/backup_and_restore/clusterResources/export.sh +++ b/platform/onebox/backup_and_restore/clusterResources/export.sh @@ -15,8 +15,9 @@ echo "$green $(date) Starting export of user namespaces and pipeline cron jobs $ # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/clusterResources/import.sh b/platform/onebox/backup_and_restore/clusterResources/import.sh index d2af8f6e..dc8fa9ce 100644 --- a/platform/onebox/backup_and_restore/clusterResources/import.sh +++ b/platform/onebox/backup_and_restore/clusterResources/import.sh @@ -19,8 +19,9 @@ readonly KOTS_REGISTRY_SECRET=kotsadm-replicated-registry # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/packages/export.sh b/platform/onebox/backup_and_restore/packages/export.sh index 9d85a1e2..af896abd 100644 --- a/platform/onebox/backup_and_restore/packages/export.sh +++ b/platform/onebox/backup_and_restore/packages/export.sh @@ -397,8 +397,9 @@ function validate_input() { # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/packages/import.sh b/platform/onebox/backup_and_restore/packages/import.sh index 0968b94b..b49077c9 100644 --- a/platform/onebox/backup_and_restore/packages/import.sh +++ b/platform/onebox/backup_and_restore/packages/import.sh @@ -585,8 +585,9 @@ function validate_file_path() { # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/registry/export.sh b/platform/onebox/backup_and_restore/registry/export.sh index f75d6157..a6a447c9 100644 --- a/platform/onebox/backup_and_restore/registry/export.sh +++ b/platform/onebox/backup_and_restore/registry/export.sh @@ -18,8 +18,9 @@ readonly EXPORT_PATH=$2/registry # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/registry/import.sh b/platform/onebox/backup_and_restore/registry/import.sh index 9123f1d9..f4bd9385 100644 --- a/platform/onebox/backup_and_restore/registry/import.sh +++ b/platform/onebox/backup_and_restore/registry/import.sh @@ -18,8 +18,9 @@ readonly IMPORT_PATH=$2/registry # $1 - Name of the dependecny module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi diff --git a/platform/onebox/backup_and_restore/sanitization/postrestore.sh b/platform/onebox/backup_and_restore/sanitization/postrestore.sh index cfe13646..2487ac06 100644 --- a/platform/onebox/backup_and_restore/sanitization/postrestore.sh +++ b/platform/onebox/backup_and_restore/sanitization/postrestore.sh @@ -123,8 +123,9 @@ function register_client_and_fetch_access_token() { # $1 - Name of the dependency module # $2 - Command to validate module function validate_dependency() { - list=$($2) - if [ -z "$list" ]; then + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" exit 1 fi From c2b2dee3fe565597a3ce21257d062a076a7dbc06 Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Tue, 23 Mar 2021 22:06:22 +0530 Subject: [PATCH 062/267] print response when error (#101) * print response when error * add -i * handle 2xx --- .../sanitization/postrestore.sh | 745 +++++++++--------- 1 file changed, 365 insertions(+), 380 deletions(-) diff --git a/platform/onebox/backup_and_restore/sanitization/postrestore.sh b/platform/onebox/backup_and_restore/sanitization/postrestore.sh index 2487ac06..c3a18712 100644 --- a/platform/onebox/backup_and_restore/sanitization/postrestore.sh +++ b/platform/onebox/backup_and_restore/sanitization/postrestore.sh @@ -1,381 +1,366 @@ -#!/bin/bash - -: ' -This script will update in-flight operation to terminal state -[ Structure of Json file with exact key name ] - - hostOrFQDN: Public end point from where backend service can be accessible - - identityServerEndPoint: End point where identity server is hosted - - hostTenantName: Host Tenant name registered in identity server - - hostTenantIdOrEmailId: Host tenant id or email Id - - hostTenantPassword: Host tenant password -[Script Version -> 21.4]' - -red=$(tput setaf 1) -green=$(tput setaf 2) -yellow=$(tput setaf 3) -default=$(tput sgr0) - -echo "$green $(date) Process of Updating in flight status to terminal state started $default" -readonly POST_RESTORE_CONFIG_FILE=$1 -readonly CORE_SERVICE_NAMESPACE=aifabric -readonly ACCESS_TOKEN_LIFE_TIME=345600 - -# Fetch admin token from identity server end point using host tenant -function fetch_identity_server_token_to_register_client() { - echo "$(date) Fetching identity server client registration token" - - # Generate required endpoints - readonly local antif=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/antiforgery/generate" - readonly local login=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/Login" - readonly local tokenUrl=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/ClientAccessToken" - - dataLogin='{ - "tenant": "'$HOST_TENANT_NAME'", - "usernameOrEmail": "'$HOST_TENANT_USER_ID_OR_EMAIL'", - "password": "'$HOST_TENANT_PASSWORD'", - "rememberLogin": true - }' - - cookie_file="cookfile.txt" - cookie_file_new="cookfile_new.txt" - - # Get token and construct the cookie, save the returned token. - curl --silent --fail --show-error -k -c $cookie_file --request GET "$antif" - - # Replace headers - sed 's/XSRF-TOKEN-IS/XSRF-TOKEN/g' $cookie_file >$cookie_file_new - - token=$(cat $cookie_file_new | grep XSRF-TOKEN | cut -f7 -d$'\t') - - # Authentication -> POST to $login_url with the token in header "X-CSRF-Token: $token". - curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -c $cookie_file_new -b $cookie_file_new -d "$dataLogin" --request POST "$login" -H "Content-Type: application/json" - - # Fetch Acces token - CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") - - if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then - echo "$(date) $red Failed to generate token to register client ... Exiting $default" - exit 1 - fi - - echo "$(date) Successfully fetched client register token" -} - -# Fetch access token to call backend server -function fetch_identity_server_access_token() { - echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" - - readonly local access_token_response=$( - curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ - -H 'Content-Type: application/x-www-form-urlencoded' \ - --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ - --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ - --data-urlencode "grant_type=client_credentials" - ) - - if [ -z "$access_token_response" ]; then - echo "$(date) $red Failed to generate access token to call backend server ... Exiting $default" - deregister_client - exit 1 - fi - - ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') - - if [ -z "$ACCESS_TOKEN" ]; then - echo "$(date) $red Failed to extract access token ... Exiting $default" - deregister_client - exit 1 - fi - - echo "$(date) Successfully fetched access token to call backend server " -} - -function deregister_client() { - echo "$(date) De-registering client from $IDENTITY_SERVER_ENDPOINT with name $IS_AIFABRIC_CLIENT_NAME" - curl -k -i --silent --fail --show-error -X DELETE "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client/$IS_AIFABRIC_CLIENT_ID" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -} - -# Register client and fetch Access token -function register_client_and_fetch_access_token() { - - readonly IS_AIFABRIC_CLIENT_ID="aifabric-"$(openssl rand -hex 10) - readonly IS_AIFABRIC_CLIENT_SECRET=$(openssl rand -hex 32) - readonly IS_AIFABRIC_CLIENT_NAME="aifabric-"$(openssl rand -hex 10) - - # Fetch admin token - fetch_identity_server_token_to_register_client - - # Register client - echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" - - local client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") - - if [ -z "$client_creation_response" ]; then - echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" - exit 1 - fi - - # Fetch access token authorize backend server call - fetch_identity_server_access_token -} - -# Validate dependency module -# $1 - Name of the dependency module -# $2 - Command to validate module -function validate_dependency() { - eval $2 - # Next statement is checking last command success - if [ $? -ne 0 ]; then - echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" - exit 1 - fi -} - -# Validate API response -# $1 - Api response code -# $2 - Expected response code -# $3 - Success Message -# $4 - Error message -function validate_response_from_api() { - if [ $1 = $2 ]; then - echo "$(date) $3" - elif [ "$1" = "DEFAULT" ]; then - echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting $default" - deregister_client - exit 1 - else - echo "$(date) $4 $default" - deregister_client - exit 1 - fi -} - -# Wait for core service pods to come up -# $1 - Service label -function wait_for_service_pods_liveness() { - echo "$(date) Waiting for core service $1 pod to come up" - local wait_cmd="kubectl -n $CORE_SERVICE_NAMESPACE wait --field-selector status.phase=Running --for=condition=ready --timeout=60s pod -l app=$1" - local sleep_int=10 - local start_time - local pod_ready_timeout=300 - local current_time - local elapsed_time - - # Initial sleep is required - start_time=$(date +"%s") - sleep $sleep_int - eval "$wait_cmd" - while [[ $? -ne 0 ]] - do - sleep $sleep_int - current_time=$(date +"%s") - elapsed_time=$(( current_time - start_time )) - if [[ $elapsed_time -gt $pod_ready_timeout ]] - then - echo "$(date) Timeout waiting for core service: $1 pods/pods to come alive in namespace: $CORE_SERVICE_NAMESPACE" - deregister_client - exit 1 - fi - eval "$wait_cmd" - done -} - -# Validate if data manager is enabled, returns 0 for true, 1 for false -function isDataManagerEnabled() { - local feature_flag_name=data-labeling-enabled - local isDataManagerEnabled=$(kubectl -n $CORE_SERVICE_NAMESPACE get deployment ai-app-deployment -o yaml | grep FEATURE_FLAGS -A 1 | grep $feature_flag_name) - if [ -z "$isDataManagerEnabled" ]; - then - echo "$(date) Data manager is not enabled in this platform" - return 1; - fi - return 0; -} - -# Update core service specific env variables -function update_core_service_env_variables_for_recovery() { - kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-pkgmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric - kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-deployer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric - kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-trainer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric - - - # Sleep is needed for pods status to be updated - sleep 2 - - # Update pkg-manager service - wait_for_service_pods_liveness "ai-pkgmanager-deployment" - - # Update deployer service - wait_for_service_pods_liveness "ai-deployer-deployment" - - # Update trainer service - wait_for_service_pods_liveness "ai-trainer-deployment" - - sleep 2 - - if isDataManagerEnabled; - then - # Update data manager service - kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-appmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_NAME S2S_RECOVERY_AUDIENCE=AiFabric - wait_for_service_pods_liveness "ai-appmanager-deployment" - fi -} - -# Sanitize in flight ML packages -function sanitize_in_flight_ml_packages() { - readonly local ml_packages_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/system/mlpackage/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$ml_packages_sanitize_resp_code" ]; then - resp_code=$(echo "$ml_packages_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "200" "Successfully sanitized inflight ML Packages" "$red Failed to sanitized inflight ML Packages ... Exiting" -} - -# Sanitize in flight projects -function sanitize_in_flight_projects() { - readonly local projects_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/system/project/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$projects_sanitize_resp_code" ]; then - resp_code=$(echo "$projects_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "202" "Successfully sanitized inflight projects" "$red Failed to sanitized inflight projects ... Exiting" -} - -# Sanitize in flight ML Skills -function sanitize_in_flight_ml_skills() { - readonly local skills_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/system/mlskills/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$skills_sanitize_resp_code" ]; then - resp_code=$(echo "$skills_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "200" "Successfully sanitized inflight ML Skills" "$red Failed to sanitized inflight ML Skills ... Exiting" -} - -# Sanitize in flight namespaces -function sanitize_in_flight_namespaces() { - readonly local sanitize_ns_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-trainer/v1/system/namespace/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$sanitize_ns_resp_code" ]; then - resp_code=$(echo "$sanitize_ns_resp_code" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "200" "Successfully sanitized in-flight namespaces" "$red Failed to sanitized in-flight namespaces ... Exiting" -} - -# Sanitize in flight ML Pipelines -function sanitize_in_flight_pipelines() { - readonly local pipeline_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-trainer/v1/system/pipeline/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$pipeline_sanitize_resp_code" ]; then - resp_code=$(echo "$pipeline_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "200" "Successfully sanitized in-flight pipeline" "$red Failed to sanitized in-flight pipeline ... Exiting" -} - -# Sanitize in flight Tenants -function sanitize_in_flight_tenants() { - readonly local tenants_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/system/tenant/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$tenants_sanitize_resp_code" ]; then - resp_code=$(echo "$tenants_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "200" "Successfully sanitized in-flight tenants" "$red Failed to sanitized in-flight tenants ... Exiting" -} - -# Sanitize in flight data manager apps -function sanitize_in_flight_data_manager_apps() { - readonly local app_manager_sanitize_resp_code=$(curl -k --silent --fail --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-appmanager/v1/system/app/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') - - local resp_code=DEFAULT - if [ ! -z "$tenants_sanitize_resp_code" ]; then - resp_code=$(echo "$tenants_sanitize_resp_code" | jq -r 'select(.respCode != null) | .respCode') - fi - - validate_response_from_api $resp_code "202" "Successfully sanitized data manager app" "$red Failed to sanitized data manager app ... Exiting" -} - -function sanitize_core_services_in_flight_operation() { - echo "$(date) Sanitizing core services in flight operations" - sanitize_in_flight_ml_packages - sleep 5 - sanitize_in_flight_pipelines - sleep 5 - sanitize_in_flight_namespaces - sleep 5 - sanitize_in_flight_ml_skills - sleep 5 - sanitize_in_flight_projects - sleep 5 - sanitize_in_flight_tenants - - if isDataManagerEnabled; - then - # Update data manager service - sanitize_in_flight_data_manager_apps - fi - echo "$(date) Successfully sanitized in-flight core services operations" -} - -# Validate file provided by user exists or not, It may be relative path or absolute path -# $1 - File path -function validate_file_path() { - if [ ! -f "$1" ]; then - echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" - exit 1 - fi -} - -# Validate required modules exits in target setup -function validate_setup() { - validate_dependency curl "curl --version" - validate_dependency jq "jq --version" - echo "$(date) Successfully validated required dependencies" -} - -# Validate input provided by end user -function validate_input() { - - # Validate file path - validate_file_path $POST_RESTORE_CONFIG_FILE - - readonly INGRESS_HOST_OR_FQDN=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') - readonly IDENTITY_SERVER_ENDPOINT=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.identityServerEndPoint != null) | .identityServerEndPoint') - readonly HOST_TENANT_NAME=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantName != null) | .hostTenantName') - readonly HOST_TENANT_USER_ID_OR_EMAIL=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantIdOrEmailId != null) | .hostTenantIdOrEmailId') - readonly HOST_TENANT_PASSWORD=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantPassword != null) | .hostTenantPassword') - - if [[ -z $INGRESS_HOST_OR_FQDN || -z $IDENTITY_SERVER_ENDPOINT || -z $HOST_TENANT_NAME || -z $HOST_TENANT_USER_ID_OR_EMAIL || -z $HOST_TENANT_PASSWORD ]]; then - echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" - exit 1 - fi - - echo "$green $(date) Successfully validated user input $default" -} - -# Validate setup -validate_setup - -# Validate input -validate_input - -# Register Client and fetch access token -register_client_and_fetch_access_token - -# Update core service env variables -update_core_service_env_variables_for_recovery - -# Sanitize core services in flight operations -sanitize_core_services_in_flight_operation - +#!/bin/bash + +: ' +This script will update in-flight operation to terminal state +[ Structure of Json file with exact key name ] + - hostOrFQDN: Public end point from where backend service can be accessible + - identityServerEndPoint: End point where identity server is hosted + - hostTenantName: Host Tenant name registered in identity server + - hostTenantIdOrEmailId: Host tenant id or email Id + - hostTenantPassword: Host tenant password +[Script Version -> 21.4]' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +echo "$green $(date) Process of Updating in flight status to terminal state started $default" +readonly POST_RESTORE_CONFIG_FILE=$1 +readonly CORE_SERVICE_NAMESPACE=aifabric +readonly ACCESS_TOKEN_LIFE_TIME=345600 + +# Fetch admin token from identity server end point using host tenant +function fetch_identity_server_token_to_register_client() { + echo "$(date) Fetching identity server client registration token" + + # Generate required endpoints + readonly local antif=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/antiforgery/generate" + readonly local login=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/Login" + readonly local tokenUrl=https://$IDENTITY_SERVER_ENDPOINT"/identity/api/Account/ClientAccessToken" + + dataLogin='{ + "tenant": "'$HOST_TENANT_NAME'", + "usernameOrEmail": "'$HOST_TENANT_USER_ID_OR_EMAIL'", + "password": "'$HOST_TENANT_PASSWORD'", + "rememberLogin": true + }' + + cookie_file="cookfile.txt" + cookie_file_new="cookfile_new.txt" + + # Get token and construct the cookie, save the returned token. + curl --silent --fail --show-error -k -c $cookie_file --request GET "$antif" + + # Replace headers + sed 's/XSRF-TOKEN-IS/XSRF-TOKEN/g' $cookie_file >$cookie_file_new + + token=$(cat $cookie_file_new | grep XSRF-TOKEN | cut -f7 -d$'\t') + + # Authentication -> POST to $login_url with the token in header "X-CSRF-Token: $token". + curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -c $cookie_file_new -b $cookie_file_new -d "$dataLogin" --request POST "$login" -H "Content-Type: application/json" + + # Fetch Acces token + CLIENT_INSTALLTION_TOKEN=$(curl --silent --fail --show-error -k -H "X-XSRF-TOKEN: $token" -b $cookie_file_new "$tokenUrl" -H "Content-Type: application/json") + + if [ -z "$CLIENT_INSTALLTION_TOKEN" ]; then + echo "$(date) $red Failed to generate token to register client ... Exiting $default" + exit 1 + fi + + echo "$(date) Successfully fetched client register token" +} + +# Fetch access token to call backend server +function fetch_identity_server_access_token() { + echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" + + readonly local access_token_response=$( + curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + -H 'Content-Type: application/x-www-form-urlencoded' \ + --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ + --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ + --data-urlencode "grant_type=client_credentials" + ) + + if [ -z "$access_token_response" ]; then + echo "$(date) $red Failed to generate access token to call backend server ... Exiting $default" + deregister_client + exit 1 + fi + + ACCESS_TOKEN=$(echo "$access_token_response" | jq -r 'select(.access_token != null) | .access_token') + + if [ -z "$ACCESS_TOKEN" ]; then + echo "$(date) $red Failed to extract access token ... Exiting $default" + deregister_client + exit 1 + fi + + echo "$(date) Successfully fetched access token to call backend server " +} + +function deregister_client() { + echo "$(date) De-registering client from $IDENTITY_SERVER_ENDPOINT with name $IS_AIFABRIC_CLIENT_NAME" + curl -k -i --silent --fail --show-error -X DELETE "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client/$IS_AIFABRIC_CLIENT_ID" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" +} + +# Register client and fetch Access token +function register_client_and_fetch_access_token() { + + readonly IS_AIFABRIC_CLIENT_ID="aifabric-"$(openssl rand -hex 10) + readonly IS_AIFABRIC_CLIENT_SECRET=$(openssl rand -hex 32) + readonly IS_AIFABRIC_CLIENT_NAME="aifabric-"$(openssl rand -hex 10) + + # Fetch admin token + fetch_identity_server_token_to_register_client + + # Register client + echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" + + local client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + + if [ -z "$client_creation_response" ]; then + echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" + exit 1 + fi + + # Fetch access token authorize backend server call + fetch_identity_server_access_token +} + +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + eval $2 + # Next statement is checking last command success + if [ $? -ne 0 ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate API response +# $1 - Api response code +# $2 - Expected response code +# $3 - Success Message +# $4 - Error message +function validate_response_from_api() { + if [ $1 = $2 ]; then + echo "$(date) $3" + elif [ "$1" = "DEFAULT" ]; then + echo "$red $(date) Please validate access token or internet. If fine check returned curl status code ... Exiting $default" + deregister_client + exit 1 + else + echo "$(date) $4 $default" + deregister_client + exit 1 + fi +} + +# Wait for core service pods to come up +# $1 - Service label +function wait_for_service_pods_liveness() { + echo "$(date) Waiting for core service $1 pod to come up" + local wait_cmd="kubectl -n $CORE_SERVICE_NAMESPACE wait --field-selector status.phase=Running --for=condition=ready --timeout=60s pod -l app=$1" + local sleep_int=10 + local start_time + local pod_ready_timeout=300 + local current_time + local elapsed_time + + # Initial sleep is required + start_time=$(date +"%s") + sleep $sleep_int + eval "$wait_cmd" + while [[ $? -ne 0 ]] + do + sleep $sleep_int + current_time=$(date +"%s") + elapsed_time=$(( current_time - start_time )) + if [[ $elapsed_time -gt $pod_ready_timeout ]] + then + echo "$(date) Timeout waiting for core service: $1 pods/pods to come alive in namespace: $CORE_SERVICE_NAMESPACE" + deregister_client + exit 1 + fi + eval "$wait_cmd" + done +} + +# Validate if data manager is enabled, returns 0 for true, 1 for false +function isDataManagerEnabled() { + local feature_flag_name=data-labeling-enabled + local isDataManagerEnabled=$(kubectl -n $CORE_SERVICE_NAMESPACE get deployment ai-app-deployment -o yaml | grep FEATURE_FLAGS -A 1 | grep $feature_flag_name) + if [ -z "$isDataManagerEnabled" ]; + then + echo "$(date) Data manager is not enabled in this platform" + return 1; + fi + return 0; +} + +# Update core service specific env variables +function update_core_service_env_variables_for_recovery() { + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-pkgmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-deployer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-trainer-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_ID S2S_RECOVERY_AUDIENCE=AiFabric + + + # Sleep is needed for pods status to be updated + sleep 2 + + # Update pkg-manager service + wait_for_service_pods_liveness "ai-pkgmanager-deployment" + + # Update deployer service + wait_for_service_pods_liveness "ai-deployer-deployment" + + # Update trainer service + wait_for_service_pods_liveness "ai-trainer-deployment" + + sleep 2 + + if isDataManagerEnabled; + then + # Update data manager service + kubectl -n $CORE_SERVICE_NAMESPACE set env deployment/ai-appmanager-deployment S2S_RECOVERY_CLIENT_ID=$IS_AIFABRIC_CLIENT_NAME S2S_RECOVERY_AUDIENCE=AiFabric + wait_for_service_pods_liveness "ai-appmanager-deployment" + fi +} + +function parse_sanitize_response() { + if [ -z "$1" ]; + then + echo "$red $(date) No response received from server for sanitizing $2, retry may fix it ... Exiting !!! $default" + exit 1 + fi + + resp_code=$(echo "$1" | grep -v '100 Continue' | grep HTTP | awk '{print $2}') + + if [[ "${resp_code}" =~ ^2 ]]; + then + echo "$green $(date) $2 sanitized Successfully $default" + else + echo "$red $(date) Sanitization failed for $2 with message: $1 $default" + exit 1 + fi +} + +# Sanitize in flight ML packages +function sanitize_in_flight_ml_packages() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/system/mlpackage/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "MLPackages" +} + +# Sanitize in flight projects +function sanitize_in_flight_projects() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-pkgmanager/v1/system/project/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "Projects" +} + +# Sanitize in flight ML Skills +function sanitize_in_flight_ml_skills() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/system/mlskills/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "MLSkills" +} + +# Sanitize in flight trainer namespaces +function sanitize_in_flight_namespaces() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-trainer/v1/system/namespace/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "TrainerNamespaces" +} + +# Sanitize in flight trainer namespaces +function sanitize_in_flight_deployer_namespaces() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/system/namespace/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "DeployerNamespaces" +} + + +# Sanitize in flight ML Pipelines +function sanitize_in_flight_pipelines() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-trainer/v1/system/pipeline/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "Pipelines" +} + +# Sanitize in flight Tenants +function sanitize_in_flight_tenants() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-deployer/v1/system/tenant/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "Tenants" +} + +# Sanitize in flight data manager apps +function sanitize_in_flight_data_manager_apps() { + response=$(curl -i -k --show-error -X POST 'https://'"$INGRESS_HOST_OR_FQDN"'/ai-appmanager/v1/system/app/recover' -H 'authorization: Bearer '"$ACCESS_TOKEN"'') + parse_sanitize_response "$response" "DataManager" +} + +function sanitize_core_services_in_flight_operation() { + echo "$(date) Sanitizing core services in flight operations" + sanitize_in_flight_ml_packages + sleep 5 + sanitize_in_flight_pipelines + sleep 5 + sanitize_in_flight_namespaces + sleep 5 + sanitize_in_flight_deployer_namespaces + sleep 5 + sanitize_in_flight_ml_skills + sleep 5 + sanitize_in_flight_projects + sleep 5 + sanitize_in_flight_tenants + + if isDataManagerEnabled; + then + # Update data manager service + sanitize_in_flight_data_manager_apps + fi + echo "$(date) Successfully sanitized in-flight core services operations" +} + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency curl "curl --version" + validate_dependency jq "jq --version" + echo "$(date) Successfully validated required dependencies" +} + +# Validate input provided by end user +function validate_input() { + + # Validate file path + validate_file_path $POST_RESTORE_CONFIG_FILE + + readonly INGRESS_HOST_OR_FQDN=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostOrFQDN != null) | .hostOrFQDN') + readonly IDENTITY_SERVER_ENDPOINT=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.identityServerEndPoint != null) | .identityServerEndPoint') + readonly HOST_TENANT_NAME=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantName != null) | .hostTenantName') + readonly HOST_TENANT_USER_ID_OR_EMAIL=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantIdOrEmailId != null) | .hostTenantIdOrEmailId') + readonly HOST_TENANT_PASSWORD=$(cat $POST_RESTORE_CONFIG_FILE | jq -r 'select(.hostTenantPassword != null) | .hostTenantPassword') + + if [[ -z $INGRESS_HOST_OR_FQDN || -z $IDENTITY_SERVER_ENDPOINT || -z $HOST_TENANT_NAME || -z $HOST_TENANT_USER_ID_OR_EMAIL || -z $HOST_TENANT_PASSWORD ]]; then + echo "$red $(date) Input is invalid or missing, Please check ... Exiting $default" + exit 1 + fi + + echo "$green $(date) Successfully validated user input $default" +} + +# Validate setup +validate_setup + +# Validate input +validate_input + +# Register Client and fetch access token +register_client_and_fetch_access_token + +# Update core service env variables +update_core_service_env_variables_for_recovery + +# Sanitize core services in flight operations +sanitize_core_services_in_flight_operation + echo "$green $(date) Successfully updated in flight user operations to end state" \ No newline at end of file From 4b2566d8424d8a1ce72803cfafbba897bbf62cb7 Mon Sep 17 00:00:00 2001 From: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Date: Wed, 24 Mar 2021 11:22:49 +0530 Subject: [PATCH 063/267] Deleting active training jobs after restore (#95) --- platform/onebox/backup_and_restore/clusterResources/import.sh | 2 ++ 1 file changed, 2 insertions(+) diff --git a/platform/onebox/backup_and_restore/clusterResources/import.sh b/platform/onebox/backup_and_restore/clusterResources/import.sh index dc8fa9ce..d99e03c6 100644 --- a/platform/onebox/backup_and_restore/clusterResources/import.sh +++ b/platform/onebox/backup_and_restore/clusterResources/import.sh @@ -102,6 +102,8 @@ function update_secrets_in_namespaces() { local trainingStorageSecrets=$(kubectl get secrets -n ${NAMESPACES[ns]} --no-headers -o custom-columns=":metadata.name" | grep training-storage-credentials) echo "$(date) Deleting $trainingStorageSecrets in namespace ${NAMESPACES[ns]}" kubectl -n ${NAMESPACES[ns]} delete secrets $trainingStorageSecrets + echo "$(date) Deleting all active jobs if any in namespace: ${NAMESPACES[ns]}" + kubectl delete jobs --all -n ${NAMESPACES[ns]} fi # Deleting storage credentials, will be updated from post resource From caef95575740dba36ad85eb0335a09cca48e1d29 Mon Sep 17 00:00:00 2001 From: irinel-birsan-uipath <42834544+irinel-birsan-uipath@users.noreply.github.com> Date: Wed, 7 Apr 2021 13:37:44 +0300 Subject: [PATCH 064/267] Add models metadata (#104) --- metadata/AustralianInvoices__6__metadata.json | 23 +++++++++++++++++++ .../DocumentUnderstanding__7__metadata.json | 23 +++++++++++++++++++ metadata/IndianInvoices__6__metadata.json | 23 +++++++++++++++++++ metadata/Invoices__7__metadata.json | 23 +++++++++++++++++++ metadata/JapaneseInvoices__4__metadata .json | 23 +++++++++++++++++++ metadata/PurchaseOrders__6__metadata.json | 23 +++++++++++++++++++ metadata/Receipts__7__metadata.json | 23 +++++++++++++++++++ metadata/UtilityBills__6__metadata.json | 23 +++++++++++++++++++ 8 files changed, 184 insertions(+) create mode 100644 metadata/AustralianInvoices__6__metadata.json create mode 100644 metadata/DocumentUnderstanding__7__metadata.json create mode 100644 metadata/IndianInvoices__6__metadata.json create mode 100644 metadata/Invoices__7__metadata.json create mode 100644 metadata/JapaneseInvoices__4__metadata .json create mode 100644 metadata/PurchaseOrders__6__metadata.json create mode 100644 metadata/Receipts__7__metadata.json create mode 100644 metadata/UtilityBills__6__metadata.json diff --git a/metadata/AustralianInvoices__6__metadata.json b/metadata/AustralianInvoices__6__metadata.json new file mode 100644 index 00000000..13c24cbe --- /dev/null +++ b/metadata/AustralianInvoices__6__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/australianinvoices:6" +} diff --git a/metadata/DocumentUnderstanding__7__metadata.json b/metadata/DocumentUnderstanding__7__metadata.json new file mode 100644 index 00000000..8c24c273 --- /dev/null +++ b/metadata/DocumentUnderstanding__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/documentunderstanding:7" +} diff --git a/metadata/IndianInvoices__6__metadata.json b/metadata/IndianInvoices__6__metadata.json new file mode 100644 index 00000000..a5fda60a --- /dev/null +++ b/metadata/IndianInvoices__6__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/indianinvoices:6" +} diff --git a/metadata/Invoices__7__metadata.json b/metadata/Invoices__7__metadata.json new file mode 100644 index 00000000..a9294168 --- /dev/null +++ b/metadata/Invoices__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/invoices:7" +} diff --git a/metadata/JapaneseInvoices__4__metadata .json b/metadata/JapaneseInvoices__4__metadata .json new file mode 100644 index 00000000..4a6a7db3 --- /dev/null +++ b/metadata/JapaneseInvoices__4__metadata .json @@ -0,0 +1,23 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:4" +} diff --git a/metadata/PurchaseOrders__6__metadata.json b/metadata/PurchaseOrders__6__metadata.json new file mode 100644 index 00000000..0332b6c9 --- /dev/null +++ b/metadata/PurchaseOrders__6__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/purchaseorders:6" +} diff --git a/metadata/Receipts__7__metadata.json b/metadata/Receipts__7__metadata.json new file mode 100644 index 00000000..e9d73f6a --- /dev/null +++ b/metadata/Receipts__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/receipts:7" +} diff --git a/metadata/UtilityBills__6__metadata.json b/metadata/UtilityBills__6__metadata.json new file mode 100644 index 00000000..6ed42d6a --- /dev/null +++ b/metadata/UtilityBills__6__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.1.8", + "cpu": 0, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/utilitybills:6" +} From ed16fb4e621d4db4a5af89d627207ef4a49db084 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Wed, 7 Apr 2021 13:41:43 +0300 Subject: [PATCH 065/267] Update change log with model version --- metadata/AustralianInvoices__6__metadata.json | 2 +- metadata/DocumentUnderstanding__7__metadata.json | 2 +- metadata/IndianInvoices__6__metadata.json | 2 +- metadata/Invoices__7__metadata.json | 2 +- metadata/JapaneseInvoices__4__metadata .json | 2 +- metadata/PurchaseOrders__6__metadata.json | 2 +- metadata/Receipts__7__metadata.json | 2 +- metadata/UtilityBills__6__metadata.json | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/metadata/AustralianInvoices__6__metadata.json b/metadata/AustralianInvoices__6__metadata.json index 13c24cbe..5602bd66 100644 --- a/metadata/AustralianInvoices__6__metadata.json +++ b/metadata/AustralianInvoices__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "AustralianInvoices", diff --git a/metadata/DocumentUnderstanding__7__metadata.json b/metadata/DocumentUnderstanding__7__metadata.json index 8c24c273..5ec27f17 100644 --- a/metadata/DocumentUnderstanding__7__metadata.json +++ b/metadata/DocumentUnderstanding__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "DocumentUnderstanding", diff --git a/metadata/IndianInvoices__6__metadata.json b/metadata/IndianInvoices__6__metadata.json index a5fda60a..b9a23021 100644 --- a/metadata/IndianInvoices__6__metadata.json +++ b/metadata/IndianInvoices__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "IndianInvoices", diff --git a/metadata/Invoices__7__metadata.json b/metadata/Invoices__7__metadata.json index a9294168..18ae17ec 100644 --- a/metadata/Invoices__7__metadata.json +++ b/metadata/Invoices__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "Invoices", diff --git a/metadata/JapaneseInvoices__4__metadata .json b/metadata/JapaneseInvoices__4__metadata .json index 4a6a7db3..7da218e0 100644 --- a/metadata/JapaneseInvoices__4__metadata .json +++ b/metadata/JapaneseInvoices__4__metadata .json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "JapaneseInvoices", diff --git a/metadata/PurchaseOrders__6__metadata.json b/metadata/PurchaseOrders__6__metadata.json index 0332b6c9..3b490ddb 100644 --- a/metadata/PurchaseOrders__6__metadata.json +++ b/metadata/PurchaseOrders__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "PurchaseOrders", diff --git a/metadata/Receipts__7__metadata.json b/metadata/Receipts__7__metadata.json index e9d73f6a..a36c65ec 100644 --- a/metadata/Receipts__7__metadata.json +++ b/metadata/Receipts__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "Receipts", diff --git a/metadata/UtilityBills__6__metadata.json b/metadata/UtilityBills__6__metadata.json index 6ed42d6a..842847d9 100644 --- a/metadata/UtilityBills__6__metadata.json +++ b/metadata/UtilityBills__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", + "changeLog": "Model: 21.4.4", "cpu": 0, "inputType": "JSON", "displayName": "UtilityBills", From 4a84fcc341e9f4e7b4e019dd2d9957af24e2d370 Mon Sep 17 00:00:00 2001 From: Jemteddy Date: Fri, 9 Apr 2021 18:43:53 +0200 Subject: [PATCH 066/267] Update README.md I guess you change file names in between. --- platform/onebox/backup_and_restore/ceph/README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/README.md b/platform/onebox/backup_and_restore/ceph/README.md index f8ebd871..0624f13a 100644 --- a/platform/onebox/backup_and_restore/ceph/README.md +++ b/platform/onebox/backup_and_restore/ceph/README.md @@ -25,12 +25,12 @@ The Machine where backup/restore runs needs the following: ### For Backup ``` -./backup.sh +./export.sh ``` It creates a folder /ceph which contains 1 folder per bucket containing all the blobs of that bucket ### For Restore ``` -./restore.sh +./import.sh ``` This looks for a folder ceph inside basePath, creates a bucket per folder inside ceph and then uploads all blobs From 2161ec60371914c60339b6d5fd7221d41bed636e Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Mon, 12 Apr 2021 10:58:01 +0300 Subject: [PATCH 067/267] Add python37 DU v2 --- .../Python37_DU__2__metadata.json | 40 +++++++++++++++++++ 1 file changed, 40 insertions(+) create mode 100644 language_version_metadata/Python37_DU__2__metadata.json diff --git a/language_version_metadata/Python37_DU__2__metadata.json b/language_version_metadata/Python37_DU__2__metadata.json new file mode 100644 index 00000000..e3ccdcff --- /dev/null +++ b/language_version_metadata/Python37_DU__2__metadata.json @@ -0,0 +1,40 @@ +[{ + "version": 2, + "imageType": "SERVING", + "processor": "CPU", + "mlPackageLanguage": "PYTHON37_DU", + "languageGroup": "DU", + "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", + "runtimeImage": "", + "displayName": "Python 37 DU" +}, +{ + "version": 2, + "imageType": "SERVING", + "processor": "GPU", + "mlPackageLanguage": "PYTHON37_DU", + "languageGroup": "DU", + "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", + "runtimeImage": "", + "displayName": "Python 37 DU" +}, +{ + "version": 2, + "imageType": "TRAINING", + "processor": "CPU", + "mlPackageLanguage": "PYTHON37_DU", + "languageGroup": "DU", + "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", + "runtimeImage": "", + "displayName": "Python 37 DU" +}, +{ + "version": 2, + "imageType": "TRAINING", + "processor": "GPU", + "mlPackageLanguage": "PYTHON37_DU", + "languageGroup": "DU", + "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", + "runtimeImage": "", + "displayName": "Python 37 DU" +}] From 6682eaeb37cf4a4d02b633024c13b1ec42dd2af5 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 15 Apr 2021 20:14:17 +0530 Subject: [PATCH 068/267] add recursive flow for rook 1.0.6 --- .../onebox/backup_and_restore/ceph/export.sh | 38 ++++++++++++++++++- 1 file changed, 36 insertions(+), 2 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index 9143bbbe..2c49e1ea 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -41,6 +41,7 @@ function validate_dependency() { # Validate required modules exits in target setup function validate_setup() { validate_dependency "aws s3" "aws --version" + validate_dependency "jq" "jq --version" echo "$(date) Successfully validated required dependencies" } @@ -74,14 +75,47 @@ function download_blob() { echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} $default" } +function download_blob_old() { + BUCKET_NAME=${1} + PREFIX=${2} + echo "$green $(date) Starting sync of object storage to local disk for bucket ${BUCKET_NAME} and prefix ${PREFIX} $default" + mkdir -p ${FOLDER}${BUCKET_NAME}/${PREFIX} + # check if less than 1000 blobs + blob_count=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects --bucket ${BUCKET_NAME} --prefix "${PREFIX}" --output json --query "length(Contents[])") + if [ "$blob_count" -gt 1000 ] + then + # sync root level, caveat that it will only sync 100 + aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME}/${PREFIX} ${FOLDER}${BUCKET_NAME}/${PREFIX} --exclude "*/*" + # get subfolders & call recursively + folders=($(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects --bucket ${BUCKET_NAME} --delimiter "/" --prefix "${PREFIX}" --output json | jq -r ".CommonPrefixes[].Prefix")) + for subprefix in "${folders[@]}" + do + : + download_blob_old ${BUCKET_NAME} ${subprefix} + done + else + # sync all + aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME}/${PREFIX} ${FOLDER}${BUCKET_NAME}/${PREFIX} + fi + echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} and prefix ${PREFIX} $default" +} + function sync_buckets() { + #Ceph issue limits it to 1000 blobs for rook 1.0.6 so find rook first + old_rook="v1.0.6" + toolbox_pod=$(kubectl -n rook-ceph get pod -l app=rook-ceph-tools -o jsonpath="{.items[0].metadata.name}") + rook_version=$(kubectl -n rook-ceph exec -it $toolbox_pod -- sh -c 'rook version | head -n 1 | cut -d ':' -f2') while read line; do echo "Response line: '${line}'" bucket=$(echo ${line} | cut -d" " -f3) # get cors policy on bucket get_cors_policy $bucket - # download bucket contents => Ceph issue limits it to 1000 blobs - download_blob $bucket + # download bucket contents + if [ "$rook_version" == "$old_rook" ]; then + download_blob_old $bucket "" + else + download_blob $bucket + fi done <<<"$BUCKETS" } From 3f632d89d2d10da19944f626ba8ea788cab10cfc Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Fri, 16 Apr 2021 09:54:13 +0530 Subject: [PATCH 069/267] minor error handling --- platform/onebox/backup_and_restore/ceph/export.sh | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index 2c49e1ea..995a0a75 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -85,9 +85,9 @@ function download_blob_old() { if [ "$blob_count" -gt 1000 ] then # sync root level, caveat that it will only sync 100 - aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME}/${PREFIX} ${FOLDER}${BUCKET_NAME}/${PREFIX} --exclude "*/*" + aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME}/${PREFIX} ${FOLDER}${BUCKET_NAME}/${PREFIX} --exclude "*/*" --delete # get subfolders & call recursively - folders=($(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects --bucket ${BUCKET_NAME} --delimiter "/" --prefix "${PREFIX}" --output json | jq -r ".CommonPrefixes[].Prefix")) + folders=($(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects --bucket ${BUCKET_NAME} --delimiter "/" --prefix "${PREFIX}" --output json | jq -r 'select(.CommonPrefixes != null and (.CommonPrefixes |type) == "array") | .CommonPrefixes[] | select(.Prefix != null).Prefix')) for subprefix in "${folders[@]}" do : @@ -95,7 +95,7 @@ function download_blob_old() { done else # sync all - aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME}/${PREFIX} ${FOLDER}${BUCKET_NAME}/${PREFIX} + aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl sync s3://${BUCKET_NAME}/${PREFIX} ${FOLDER}${BUCKET_NAME}/${PREFIX} --delete fi echo "$green $(date) Finsihed sync of object storage to local disk for bucket ${BUCKET_NAME} and prefix ${PREFIX} $default" } From c666494a14ec2a2b63d3afb9d0ae9add986e999e Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Fri, 16 Apr 2021 11:26:49 +0530 Subject: [PATCH 070/267] handle all 1.0 rook --- platform/onebox/backup_and_restore/ceph/export.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/platform/onebox/backup_and_restore/ceph/export.sh b/platform/onebox/backup_and_restore/ceph/export.sh index 995a0a75..b3a69438 100644 --- a/platform/onebox/backup_and_restore/ceph/export.sh +++ b/platform/onebox/backup_and_restore/ceph/export.sh @@ -102,7 +102,7 @@ function download_blob_old() { function sync_buckets() { #Ceph issue limits it to 1000 blobs for rook 1.0.6 so find rook first - old_rook="v1.0.6" + old_rook="v1.0." toolbox_pod=$(kubectl -n rook-ceph get pod -l app=rook-ceph-tools -o jsonpath="{.items[0].metadata.name}") rook_version=$(kubectl -n rook-ceph exec -it $toolbox_pod -- sh -c 'rook version | head -n 1 | cut -d ':' -f2') while read line; do @@ -111,7 +111,7 @@ function sync_buckets() { # get cors policy on bucket get_cors_policy $bucket # download bucket contents - if [ "$rook_version" == "$old_rook" ]; then + if [[ "$rook_version" =~ "$old_rook".* ]]; then download_blob_old $bucket "" else download_blob $bucket From 4ea2dda79dc9676cfa1d595f512e7b2a1325d59d Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 20 Apr 2021 16:58:21 +0300 Subject: [PATCH 071/267] Fix JapaneseInvoices file name and update change log --- metadata/AustralianInvoices__6__metadata.json | 2 +- metadata/DocumentUnderstanding__7__metadata.json | 2 +- metadata/IndianInvoices__6__metadata.json | 2 +- metadata/Invoices__7__metadata.json | 2 +- ...es__4__metadata .json => JapaneseInvoices__4__metadata.json} | 2 +- metadata/PurchaseOrders__6__metadata.json | 2 +- metadata/Receipts__7__metadata.json | 2 +- metadata/UtilityBills__6__metadata.json | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) rename metadata/{JapaneseInvoices__4__metadata .json => JapaneseInvoices__4__metadata.json} (98%) diff --git a/metadata/AustralianInvoices__6__metadata.json b/metadata/AustralianInvoices__6__metadata.json index 5602bd66..fa6b8a77 100644 --- a/metadata/AustralianInvoices__6__metadata.json +++ b/metadata/AustralianInvoices__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "AustralianInvoices", diff --git a/metadata/DocumentUnderstanding__7__metadata.json b/metadata/DocumentUnderstanding__7__metadata.json index 5ec27f17..6db07e9e 100644 --- a/metadata/DocumentUnderstanding__7__metadata.json +++ b/metadata/DocumentUnderstanding__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "DocumentUnderstanding", diff --git a/metadata/IndianInvoices__6__metadata.json b/metadata/IndianInvoices__6__metadata.json index b9a23021..027694d3 100644 --- a/metadata/IndianInvoices__6__metadata.json +++ b/metadata/IndianInvoices__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "IndianInvoices", diff --git a/metadata/Invoices__7__metadata.json b/metadata/Invoices__7__metadata.json index 18ae17ec..460b8087 100644 --- a/metadata/Invoices__7__metadata.json +++ b/metadata/Invoices__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "Invoices", diff --git a/metadata/JapaneseInvoices__4__metadata .json b/metadata/JapaneseInvoices__4__metadata.json similarity index 98% rename from metadata/JapaneseInvoices__4__metadata .json rename to metadata/JapaneseInvoices__4__metadata.json index 7da218e0..1694ae2b 100644 --- a/metadata/JapaneseInvoices__4__metadata .json +++ b/metadata/JapaneseInvoices__4__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "JapaneseInvoices", diff --git a/metadata/PurchaseOrders__6__metadata.json b/metadata/PurchaseOrders__6__metadata.json index 3b490ddb..f608f608 100644 --- a/metadata/PurchaseOrders__6__metadata.json +++ b/metadata/PurchaseOrders__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "PurchaseOrders", diff --git a/metadata/Receipts__7__metadata.json b/metadata/Receipts__7__metadata.json index a36c65ec..a9667ba7 100644 --- a/metadata/Receipts__7__metadata.json +++ b/metadata/Receipts__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "Receipts", diff --git a/metadata/UtilityBills__6__metadata.json b/metadata/UtilityBills__6__metadata.json index 842847d9..2019c0e4 100644 --- a/metadata/UtilityBills__6__metadata.json +++ b/metadata/UtilityBills__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.4", + "changeLog": "Model: 21.4.7", "cpu": 0, "inputType": "JSON", "displayName": "UtilityBills", From 21fb50ac000fc96899eb019a0c0241484cdbdf25 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Wed, 12 May 2021 10:17:48 +0530 Subject: [PATCH 072/267] add script to validate storage --- storage-checks.sh | 349 ++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 349 insertions(+) create mode 100644 storage-checks.sh diff --git a/storage-checks.sh b/storage-checks.sh new file mode 100644 index 00000000..fa7d4b90 --- /dev/null +++ b/storage-checks.sh @@ -0,0 +1,349 @@ +#!/bin/bash + +: ' +This scipt will validate blob storage from AIC perspective. +# $1 - json file with credentials +[Script Version -> 21.4] +Credentials file structure +{"AWS_HOST": , "AWS_ENDPOINT": , "AWS_ACCESS_KEY_ID": , "AWS_SECRET_ACCESS_KEY": , "BUCKET_1": , "BUCKET_2": } +where the access_key and secret correspond to aws crednetials which has access to the two buckets (customer creates buckets with appropriate policies) +Requirements: aws s3, jq +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +declare -A etags + +echo "$green $(date) Starting validation of object storage $default" + +readonly CREDENTIALS_FILE=$1 + +function echoinfo() { + echo "$yellow $(date) $1 $default" +} + +function errecho() { + echo "$red $(date) $1 $default" +} + +# Validate file provided by user exists or not, It may be relative path or absolute path +# $1 - File path +function validate_file_path() { + if [ ! -f "$1" ]; then + echo "$red $(date) $1 file does not exist, Please check ... Exiting $default" + exit 1 + fi +} + +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + eval $2 + # Next statement is checking last command success aws --version has some issue + if [ $? -ne 0 ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency "aws s3" "aws --version" + validate_dependency "jq" "jq --version" + #validate_dependency "fallocate" "fallocate -V" + validate_dependency "yes" "yes --version" + echo "$(date) Successfully validated required dependencies" +} + +function initialize_variables() { + # Validate file path + validate_file_path $CREDENTIALS_FILE + + export AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') + export AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') + export AWS_ACCESS_KEY_ID=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ACCESS_KEY_ID != null) | .AWS_ACCESS_KEY_ID') + export AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') + export BUCKET_1=$(cat $CREDENTIALS_FILE | jq -r 'select(.BUCKET_1 != null) | .BUCKET_1') + export BUCKET_2=$(cat $CREDENTIALS_FILE | jq -r 'select(.BUCKET_2 != null) | .BUCKET_2') + #readonly FOLDER=${BASE_PATH}/ceph/ + #mkdir -p ${FOLDER} +} + +function bucket_exists { + be_bucketname=$1 + + aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl head-bucket \ + --bucket $be_bucketname \ + >/dev/null 2>&1 + + if [[ ${?} -eq 0 ]]; then + return 0 + else + errecho "ERROR: Bucket doesn't exist: $be_bucketname" + exit 1 + fi +} + +function copy_local_file_to_bucket { + cftb_bucketname=$1 + cftb_sourcefile=$2 + cftb_destfilename=$3 + local RESPONSE + + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl put-object \ + --bucket $cftb_bucketname \ + --body $cftb_sourcefile \ + --key $cftb_destfilename) + + if [[ ${?} -ne 0 ]]; then + errecho "ERROR: AWS reports put-object operation failed.\n$RESPONSE" + exit 1 + fi +} + +function copy_item_in_bucket { + ciib_bucketname=$1 + ciib_sourcefile=$2 + ciib_destfile=$3 + local RESPONSE + + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl copy-object \ + --bucket $ciib_bucketname \ + --copy-source $ciib_bucketname/$ciib_sourcefile \ + --key $ciib_destfile) + + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api copy-object operation failed.\n$RESPONSE" + exit 1 + fi +} + +function copy_items_across_buckets { + local RESPONSE + RESPONSE=$(aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl cp s3://$1/$3 s3://$2/$3) + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api cp operation failed (across buckets).\n$RESPONSE" + exit 1 + fi +} + +function list_items_in_bucket { + liib_bucketname=$1 + local RESPONSE + + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects \ + --bucket $liib_bucketname \ + --output text \ + --query 'Contents[].{Key: Key, Size: Size}' ) + + if [[ ${?} -eq 0 ]]; then + echo "$RESPONSE" + else + errecho "ERROR: AWS reports s3api list-objects operation failed.\n$RESPONSE" + exit 1 + fi +} + +function list_items_in_bucket_paginated { + liib_bucketname=$1 + local RESPONSE + + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects \ + --bucket $liib_bucketname \ + --max-items=2 ) + + if [[ ${?} -eq 0 ]]; then + TOKEN=$(echo $RESPONSE | jq -r 'select(.NextToken != null) | .NextToken') + echoinfo "Paginated fetch gave nextToken as $TOKEN, should be non empty" + else + errecho "ERROR: AWS reports s3api list-objects operation failed.\n$RESPONSE" + exit 1 + fi +} + +function delete_item_in_bucket { + diib_bucketname=$1 + diib_key=$2 + local RESPONSE + + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl delete-object \ + --bucket $diib_bucketname \ + --key $diib_key) + + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api delete-object operation failed.\n$RESPONSE" + exit 1 + fi +} + +function delete_multiple { + #Objects=[{Key=string,VersionId=string},{Key=string,VersionId=string}],Quiet=boolean + local RESPONSE + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl delete-objects --bucket $1 --delete $2) + + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api delete-objects operation failed.\n$RESPONSE" + exit 1 + fi +} + +function download_file { + local RESPONSE + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl get-object --bucket $1 --key $2 $2) + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api get-object operation failed.\n$RESPONSE" + exit 1 + fi +} + + +function validate_bucket_counts() { + blobs1=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects --bucket ${BUCKET_1} --output json --query "length(Contents[])") + echo "$green $(date) $blobs1 objects in bucket: $BUCKET_1 $default" + blobs2=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl list-objects --bucket ${BUCKET_2} --output json --query "length(Contents[])") + echo "$green $(date) $blobs2 objects in bucket: $BUCKET_2 $default" + # Policy??? +} + +# KEY MAY NEED SINGLE QUTOES AND UPLOAD_ID AND ETAG AS DOUBLEQUOTES +function create_multipart() { + local RESPONSE + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl create-multipart-upload --bucket $1 --key $2) + # Key, UploadId + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api create-multipart-upload operation failed.\n$RESPONSE" + exit 1 + fi + export UPLOAD_ID=$(echo $RESPONSE | jq -r 'select(.UploadId != null) | .UploadId') +} + +function upload_part() { + local RESPONSE + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl upload-part --bucket $1 --key $2 --part-number $4 --body $5 --upload-id $3) + #Etag + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api upload-part operation failed.\n$RESPONSE" + exit 1 + fi + + local etag=$(echo $RESPONSE | jq -r 'select(.ETag != null) | .ETag') + etag="${etag%\"}" + etag="${etag#\"}" + etags[$4]=$etag +} + +function upload_part_copy() { + local RESPONSE + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl upload-part-copy --bucket $1 --key $2 --part-number $4 --upload-id $3 --copy-source "$1/$5") + #CopyPartResult.Etag + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api upload-part-copy operation failed.\n$RESPONSE" + exit 1 + fi + + local etag=$(echo $RESPONSE | jq -r 'select(.CopyPartResult != null) | .CopyPartResult.ETag') + etag="${etag%\"}" + etag="${etag#\"}" + etags[$4]=$etag +} + +function complete_multipart() { + local RESPONSE + # file contains json {"Parts": [{"ETag":, "PartNumber":}]} + RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl complete-multipart-upload --multipart-upload file://$4 --bucket $1 --key $2 --upload-id $3) + if [[ $? -ne 0 ]]; then + errecho "ERROR: AWS reports s3api complete-multipart-upload operation failed.\n$RESPONSE" + exit 1 + fi +} + +function create_file() { + # pass desired size in mb and filename + let size_in_bytes=$1*1024*1024 + file_name=$2 + #fallocate -l ${size_in_bytes} ${file_name} + # head -c 5MB /dev/zero > ostechnix.txt + yes "file: $file_name" | head -c $1MB > $file_name +} + + +function storage_validations() { + # Create files for upload + create_file 6 1.txt + create_file 7 2.txt + create_file 9 3.txt + create_file 1 4.txt + # check both buckets exist + bucket_exists $BUCKET_1 + bucket_exists $BUCKET_2 + # upload files to one bucket + copy_local_file_to_bucket $BUCKET_1 1.txt 1.txt + copy_local_file_to_bucket $BUCKET_1 2.txt 2.txt + + copy_local_file_to_bucket $BUCKET_1 3.txt 3.txt + copy_local_file_to_bucket $BUCKET_1 4.txt 4.txt + + list_items_in_bucket_paginated $BUCKET_1 + + # validate list works, todo: pagination + echoinfo "verify 1/2/3/4.txt is present" + list_items_in_bucket $BUCKET_1 + + # delete multiple + delete_query='Objects=[{Key="3.txt"},{Key="4.txt"}]' + delete_multiple $BUCKET_1 $delete_query + echoinfo "verify 1/2.txt is present & 3/4.txt are no more" + list_items_in_bucket $BUCKET_1 + + # validate copy works within bucket + copy_item_in_bucket $BUCKET_1 1.txt 1-copy.txt + # validate copy to second bucket + copy_items_across_buckets $BUCKET_1 $BUCKET_2 1.txt + echoinfo "verify 1.txt is present" + list_items_in_bucket $BUCKET_2 + # validate counts + validate_bucket_counts + # validate delete & count post delete + delete_item_in_bucket $BUCKET_2 1.txt + # validate_bucket_counts + + # validate multipart upload + local key="combined.txt" + create_multipart $BUCKET_1 $key + upload_part_copy $BUCKET_1 $key $UPLOAD_ID 1 1.txt + upload_part $BUCKET_1 $key $UPLOAD_ID 2 3.txt + # last part < 5MB + upload_part $BUCKET_1 $key $UPLOAD_ID 3 4.txt + # write json of parts to parts.json + # for part in "${!etags[@]}"; do echo "$part - ${etags[$part]}"; done + myjson='{"Parts": []}' + for part in "${!etags[@]}" + do + myjson=$(echo -n "$myjson" | jq --arg pn $part --arg etag "${etags[$part]}" '.Parts += [{"PartNumber": ($pn | tonumber), "ETag": $etag}]') + done + echo $myjson > parts.json + + complete_multipart $BUCKET_1 $key $UPLOAD_ID parts.json + + # download full file + download_file $BUCKET_1 $key + echoinfo "verify that file size is about 15MB" + ls -lh $key + + # Get signedurl from bucket 1 + # upload using signedurl + # Check CORS??? +} + + +# Validate Setup +validate_setup + +# Update ENV Variables +initialize_variables + +storage_validations \ No newline at end of file From 6b97dee6c8b4674f0557e5b6f1f67a29bd79b112 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 13 May 2021 12:09:51 +0530 Subject: [PATCH 073/267] review comments --- storage-checks.sh | 55 ++++++++++++++++++++++++++++++++++------------- 1 file changed, 40 insertions(+), 15 deletions(-) diff --git a/storage-checks.sh b/storage-checks.sh index fa7d4b90..601a2dc6 100644 --- a/storage-checks.sh +++ b/storage-checks.sh @@ -16,6 +16,7 @@ yellow=$(tput setaf 3) default=$(tput sgr0) declare -A etags +declare -A errors echo "$green $(date) Starting validation of object storage $default" @@ -69,8 +70,9 @@ function initialize_variables() { export AWS_SECRET_ACCESS_KEY=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_SECRET_ACCESS_KEY != null) | .AWS_SECRET_ACCESS_KEY') export BUCKET_1=$(cat $CREDENTIALS_FILE | jq -r 'select(.BUCKET_1 != null) | .BUCKET_1') export BUCKET_2=$(cat $CREDENTIALS_FILE | jq -r 'select(.BUCKET_2 != null) | .BUCKET_2') - #readonly FOLDER=${BASE_PATH}/ceph/ - #mkdir -p ${FOLDER} + echoinfo "bucket1: $BUCKET_1, and bucket2: $BUCKET_2" + echoinfo "AWS_HOST: $AWS_HOST, and AWS_ENDPOINT: $AWS_ENDPOINT" + echoinfo "Please ensure that AWS_ACCESS_KEY_ID & AWS_SECRET_ACCESS_KEY are correct in the credentials file" } function bucket_exists { @@ -84,7 +86,8 @@ function bucket_exists { return 0 else errecho "ERROR: Bucket doesn't exist: $be_bucketname" - exit 1 + errors['bucket_exists']="Missing bucket $be_bucketname" + return 1 fi } @@ -101,7 +104,8 @@ function copy_local_file_to_bucket { if [[ ${?} -ne 0 ]]; then errecho "ERROR: AWS reports put-object operation failed.\n$RESPONSE" - exit 1 + errors['copy_local_file_to_bucket']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -118,7 +122,8 @@ function copy_item_in_bucket { if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api copy-object operation failed.\n$RESPONSE" - exit 1 + errors['copy_item_in_bucket']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -127,7 +132,8 @@ function copy_items_across_buckets { RESPONSE=$(aws s3 --endpoint-url $AWS_ENDPOINT --no-verify-ssl cp s3://$1/$3 s3://$2/$3) if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api cp operation failed (across buckets).\n$RESPONSE" - exit 1 + errors['copy_items_across_buckets']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -144,7 +150,8 @@ function list_items_in_bucket { echo "$RESPONSE" else errecho "ERROR: AWS reports s3api list-objects operation failed.\n$RESPONSE" - exit 1 + errors['list_items_in_bucket']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -161,7 +168,8 @@ function list_items_in_bucket_paginated { echoinfo "Paginated fetch gave nextToken as $TOKEN, should be non empty" else errecho "ERROR: AWS reports s3api list-objects operation failed.\n$RESPONSE" - exit 1 + errors['list_items_in_bucket_paginated']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -176,7 +184,8 @@ function delete_item_in_bucket { if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api delete-object operation failed.\n$RESPONSE" - exit 1 + errors['delete_item_in_bucket']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -187,7 +196,8 @@ function delete_multiple { if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api delete-objects operation failed.\n$RESPONSE" - exit 1 + errors['delete_multiple']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -196,7 +206,8 @@ function download_file { RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl get-object --bucket $1 --key $2 $2) if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api get-object operation failed.\n$RESPONSE" - exit 1 + errors['download_file']="Failed with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -216,7 +227,8 @@ function create_multipart() { # Key, UploadId if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api create-multipart-upload operation failed.\n$RESPONSE" - exit 1 + errors['multipart-upload']="Failed in create_multipart with RESPONSE: \n$RESPONSE" + return 1 fi export UPLOAD_ID=$(echo $RESPONSE | jq -r 'select(.UploadId != null) | .UploadId') } @@ -227,7 +239,8 @@ function upload_part() { #Etag if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api upload-part operation failed.\n$RESPONSE" - exit 1 + errors['multipart-upload']="Failed in upload_part with RESPONSE: \n$RESPONSE" + return 1 fi local etag=$(echo $RESPONSE | jq -r 'select(.ETag != null) | .ETag') @@ -242,7 +255,8 @@ function upload_part_copy() { #CopyPartResult.Etag if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api upload-part-copy operation failed.\n$RESPONSE" - exit 1 + errors['multipart-upload']="Failed in upload_part_copy with RESPONSE: \n$RESPONSE" + return 1 fi local etag=$(echo $RESPONSE | jq -r 'select(.CopyPartResult != null) | .CopyPartResult.ETag') @@ -257,7 +271,8 @@ function complete_multipart() { RESPONSE=$(aws s3api --endpoint-url $AWS_ENDPOINT --no-verify-ssl complete-multipart-upload --multipart-upload file://$4 --bucket $1 --key $2 --upload-id $3) if [[ $? -ne 0 ]]; then errecho "ERROR: AWS reports s3api complete-multipart-upload operation failed.\n$RESPONSE" - exit 1 + errors['multipart-upload']="Failed in complete_multipart with RESPONSE: \n$RESPONSE" + return 1 fi } @@ -334,6 +349,16 @@ function storage_validations() { echoinfo "verify that file size is about 15MB" ls -lh $key + len=${#errors[@]} + if [[ $len -ne 0 ]]; then + echoinfo "All tests passed successfully, please check individual logs above for any discrepancy" + else + errecho "The following tests failed. Please check individual log statements above" + for part in "${!errors[@]}"; do errecho "Failed $part with error - ${errors[$part]}"; done + fi + + + # Get signedurl from bucket 1 # upload using signedurl # Check CORS??? From e699e9493709886d3fad5a0d1e2b39c9be2dc6fd Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 13 May 2021 12:49:48 +0530 Subject: [PATCH 074/267] review comments --- storage-checks.sh | 31 +++++++++++++++++++++++++------ 1 file changed, 25 insertions(+), 6 deletions(-) diff --git a/storage-checks.sh b/storage-checks.sh index 601a2dc6..c75f311b 100644 --- a/storage-checks.sh +++ b/storage-checks.sh @@ -3,7 +3,7 @@ : ' This scipt will validate blob storage from AIC perspective. # $1 - json file with credentials -[Script Version -> 21.4] +[Script Version -> 21.7] Credentials file structure {"AWS_HOST": , "AWS_ENDPOINT": , "AWS_ACCESS_KEY_ID": , "AWS_SECRET_ACCESS_KEY": , "BUCKET_1": , "BUCKET_2": } where the access_key and secret correspond to aws crednetials which has access to the two buckets (customer creates buckets with appropriate policies) @@ -15,13 +15,11 @@ green=$(tput setaf 2) yellow=$(tput setaf 3) default=$(tput sgr0) +json_schema='{"AWS_HOST": , "AWS_ENDPOINT": , "AWS_ACCESS_KEY_ID": , "AWS_SECRET_ACCESS_KEY": , "BUCKET_1": , "BUCKET_2": }' + declare -A etags declare -A errors -echo "$green $(date) Starting validation of object storage $default" - -readonly CREDENTIALS_FILE=$1 - function echoinfo() { echo "$yellow $(date) $1 $default" } @@ -30,6 +28,18 @@ function errecho() { echo "$red $(date) $1 $default" } + +echo "$green $(date) Starting validation of object storage $default" + +if [ "$#" -ne 1 ]; then + errecho "Illegal number of arguments, scripts requires a single argument as filepath to crednetials json file" + exit 1 +fi + +readonly CREDENTIALS_FILE=$1 + + + # Validate file provided by user exists or not, It may be relative path or absolute path # $1 - File path function validate_file_path() { @@ -51,6 +61,14 @@ function validate_dependency() { fi } +function validate_file_is_json() { + if [ $(cat $1 | jq empty > /dev/null 2>&1; echo $?) -eq 0 ]; then + echo "$green $(date) JSON is valid in file $1 $default" + else + errecho "JSON is invalid in file $1, please ensure it conforms to the schema $2" + fi +} + # Validate required modules exits in target setup function validate_setup() { validate_dependency "aws s3" "aws --version" @@ -63,6 +81,7 @@ function validate_setup() { function initialize_variables() { # Validate file path validate_file_path $CREDENTIALS_FILE + validate_file_is_json $CREDENTIALS_FILE $json_schema export AWS_HOST=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_HOST != null) | .AWS_HOST') export AWS_ENDPOINT=$(cat $CREDENTIALS_FILE | jq -r 'select(.AWS_ENDPOINT != null) | .AWS_ENDPOINT') @@ -353,7 +372,7 @@ function storage_validations() { if [[ $len -ne 0 ]]; then echoinfo "All tests passed successfully, please check individual logs above for any discrepancy" else - errecho "The following tests failed. Please check individual log statements above" + errecho "Failed tests:" for part in "${!errors[@]}"; do errecho "Failed $part with error - ${errors[$part]}"; done fi From 9b03b8ef2618930f7ce5dcd87cbcc2a95513c6a3 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Thu, 13 May 2021 16:48:53 +0530 Subject: [PATCH 075/267] corrected last message --- storage-checks.sh | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/storage-checks.sh b/storage-checks.sh index c75f311b..1d8856e5 100644 --- a/storage-checks.sh +++ b/storage-checks.sh @@ -370,10 +370,10 @@ function storage_validations() { len=${#errors[@]} if [[ $len -ne 0 ]]; then - echoinfo "All tests passed successfully, please check individual logs above for any discrepancy" - else errecho "Failed tests:" for part in "${!errors[@]}"; do errecho "Failed $part with error - ${errors[$part]}"; done + else + echoinfo "All tests passed successfully, please check individual logs above for any discrepancy" fi From b344b22589691fb24718bbb1bc1564c49cfdd532 Mon Sep 17 00:00:00 2001 From: Mdirfan6 <65596254+Mdirfan6@users.noreply.github.com> Date: Tue, 15 Jun 2021 15:29:53 +0530 Subject: [PATCH 076/267] [AIFBR-8858] Adding mlPackageVersion imagePath parameter (#113) * Merge pull request #65 from UiPath/fix/language-version Fix/language version for older model versions * Cherry pick * Minor changes * Enhance usage docs (cherry picked from commit cf4361016eac07dab5ad30afd6ff2842eecff75a) * [AIFBR-8279] Add Version 2 for english text classification model * Release merge (#110) * Add models metadata (#104) * Update change log with model version * Add python37 DU v2 * add recursive flow for rook 1.0.6 * minor error handling * handle all 1.0 rook * Fix JapaneseInvoices file name and update change log Co-authored-by: mohitseth-nitrr <45304646+mohitseth-nitrr@users.noreply.github.com> Co-authored-by: Vivek Jha Co-authored-by: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> * Add imagepath Co-authored-by: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Co-authored-by: SahilChaudhary25 <46103941+SahilChaudhary25@users.noreply.github.com> Co-authored-by: Akash Deep Co-authored-by: adeepsri <47542394+adeepsri@users.noreply.github.com> Co-authored-by: irinel.birsan Co-authored-by: snvenkat Co-authored-by: irinel-birsan-uipath <42834544+irinel-birsan-uipath@users.noreply.github.com> Co-authored-by: mohitseth-nitrr <45304646+mohitseth-nitrr@users.noreply.github.com> Co-authored-by: Vivek Jha --- platform/onebox/backup_and_restore/packages/import.sh | 9 ++++++++- 1 file changed, 8 insertions(+), 1 deletion(-) diff --git a/platform/onebox/backup_and_restore/packages/import.sh b/platform/onebox/backup_and_restore/packages/import.sh index b49077c9..b5e99492 100644 --- a/platform/onebox/backup_and_restore/packages/import.sh +++ b/platform/onebox/backup_and_restore/packages/import.sh @@ -155,6 +155,13 @@ function create_package_upload_payload() { extractedMetadata=$(echo $extractedMetadata | jq -M ". + {languageVersion:"0"}") fi + # Check if image path exists and then update the package payload + local isImagePath=$(cat $ML_PACKAGE_METADATA_FILE_PATH | jq -r 'select(.imagePath != null) | .imagePath') + if [[ ! -z "$isImagePath" && "$is_public_package" == false ]]; then + echo "$yellow $(date) Image path provided is not null for private packages, updating the image path" + extractedMetadata=$(echo $extractedMetadata | jq -M ". + {imagePath:\"$isImagePath\"}") + fi + validate_last_command_executed_succesfully "$red Failed to extract ML package metadata from $ML_PACKAGE_METADATA_FILE_PATH" } @@ -644,4 +651,4 @@ upload_ml_package # Register client deregister_client -echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment $default" +echo "$green $(date) Successfully uploaded ML Package under project $PROJECT_NAME in target environment $default" \ No newline at end of file From d660001daa0266be7b132c60efea2f4a6e24cfa4 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 17 Jun 2021 13:49:22 +0300 Subject: [PATCH 077/267] Add metadata for UiPathDocOCR v4 --- metadata/UiPathDocumentOCR__4__metadata.json | 23 ++++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/UiPathDocumentOCR__4__metadata.json diff --git a/metadata/UiPathDocumentOCR__4__metadata.json b/metadata/UiPathDocumentOCR__4__metadata.json new file mode 100644 index 00000000..fb7af214 --- /dev/null +++ b/metadata/UiPathDocumentOCR__4__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "Model: 21.6.3 Build: v2021061706", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:4" +} \ No newline at end of file From 834619eb174957b860bb5796f26772327acf1744 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 1 Jul 2021 10:06:23 +0300 Subject: [PATCH 078/267] Add metadata for 21.5.5 du models --- metadata/AustralianInvoices__7__metadata.json | 23 +++++++++++++++++++ metadata/DocumentClassifier__3__metadata.json | 23 +++++++++++++++++++ .../DocumentUnderstanding__8__metadata.json | 23 +++++++++++++++++++ metadata/IdCards__1__metadata.json | 23 +++++++++++++++++++ metadata/IndianInvoices__7__metadata.json | 23 +++++++++++++++++++ metadata/Invoices__8__metadata.json | 23 +++++++++++++++++++ metadata/JapaneseInvoices__5__metadata.json | 23 +++++++++++++++++++ metadata/Passports__1__metadata.json | 23 +++++++++++++++++++ metadata/PurchaseOrders__7__metadata.json | 23 +++++++++++++++++++ metadata/Receipts__8__metadata.json | 23 +++++++++++++++++++ metadata/UtilityBills__7__metadata.json | 23 +++++++++++++++++++ 11 files changed, 253 insertions(+) create mode 100644 metadata/AustralianInvoices__7__metadata.json create mode 100644 metadata/DocumentClassifier__3__metadata.json create mode 100644 metadata/DocumentUnderstanding__8__metadata.json create mode 100644 metadata/IdCards__1__metadata.json create mode 100644 metadata/IndianInvoices__7__metadata.json create mode 100644 metadata/Invoices__8__metadata.json create mode 100644 metadata/JapaneseInvoices__5__metadata.json create mode 100644 metadata/Passports__1__metadata.json create mode 100644 metadata/PurchaseOrders__7__metadata.json create mode 100644 metadata/Receipts__8__metadata.json create mode 100644 metadata/UtilityBills__7__metadata.json diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json new file mode 100644 index 00000000..9296c448 --- /dev/null +++ b/metadata/AustralianInvoices__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/australianinvoices:7" +} diff --git a/metadata/DocumentClassifier__3__metadata.json b/metadata/DocumentClassifier__3__metadata.json new file mode 100644 index 00000000..fd677162 --- /dev/null +++ b/metadata/DocumentClassifier__3__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "Model: 21.5.5", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 1, + "imagePath": "registry.replicated.com/aif-core/documentclassifier:3" +} diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json new file mode 100644 index 00000000..d4ed484f --- /dev/null +++ b/metadata/DocumentUnderstanding__8__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/documentunderstanding:8" +} diff --git a/metadata/IdCards__1__metadata.json b/metadata/IdCards__1__metadata.json new file mode 100644 index 00000000..95889df8 --- /dev/null +++ b/metadata/IdCards__1__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "Model: 21.5.5", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "displayName": "IDCards", + "gpu": 1, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/idcards:1" +} diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json new file mode 100644 index 00000000..660127ef --- /dev/null +++ b/metadata/IndianInvoices__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/indianinvoices:7" +} diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json new file mode 100644 index 00000000..a9ca5edd --- /dev/null +++ b/metadata/Invoices__8__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/invoices:8" +} diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json new file mode 100644 index 00000000..4a2d8233 --- /dev/null +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:5" +} diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json new file mode 100644 index 00000000..80c091ed --- /dev/null +++ b/metadata/Passports__1__metadata.json @@ -0,0 +1,23 @@ +{ + "changeLog": "Model: 21.5.5", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "displayName": "Passports", + "gpu": 1, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/passports:1" +} diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json new file mode 100644 index 00000000..89ee6e86 --- /dev/null +++ b/metadata/PurchaseOrders__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/purchaseorders:7" +} diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json new file mode 100644 index 00000000..4fe02c11 --- /dev/null +++ b/metadata/Receipts__8__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/receipts:8" +} diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json new file mode 100644 index 00000000..f5034fe3 --- /dev/null +++ b/metadata/UtilityBills__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.5.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 2, + "imagePath": "registry.replicated.com/aif-core/utilitybills:7" +} From 9ab0a9d79d37f6e8a7f218d7754cd186a8546eaa Mon Sep 17 00:00:00 2001 From: "sankar.venkataraman" Date: Wed, 7 Jul 2021 10:01:48 +0530 Subject: [PATCH 079/267] Adding Ekco Shutdown to Attach gpu script --- gpu/attach_gpu_drivers.sh | 110 ++++++++++++++++++++++++++++++++++ gpu/nvidia-device-plugin.yaml | 61 +++++++++++++++++++ 2 files changed, 171 insertions(+) create mode 100644 gpu/attach_gpu_drivers.sh create mode 100644 gpu/nvidia-device-plugin.yaml diff --git a/gpu/attach_gpu_drivers.sh b/gpu/attach_gpu_drivers.sh new file mode 100644 index 00000000..19498bca --- /dev/null +++ b/gpu/attach_gpu_drivers.sh @@ -0,0 +1,110 @@ +#!/bin/bash + +function edit_daemon_json(){ + echo "################## Updating docker configuration ######################" + sudo bash -c ' +echo \ +"{ + \"default-runtime\": \"nvidia\", + \"exec-opts\": [\"native.cgroupdriver=systemd\"], + \"runtimes\": { + \"nvidia\": { + \"path\": \"/usr/bin/nvidia-container-runtime\", + \"runtimeArgs\": [] + } + } +}" > /etc/docker/daemon.json' + +} + +function kubernetes_cluster_up() { + count=0 + swapoff -a + while [ $count -lt 50 ]; do + sudo chmod +r /etc/kubernetes/admin.conf + export KUBECONFIG=/etc/kubernetes/admin.conf + result=$(kubectl get nodes| grep master) + if [[ "$result" == *"master"* ]]; then + echo "Kubernetes up after " $((count * 5)) "seconds" + break + else + echo "Kubernetes not up, retry : " $count + count=$(( $count + 1 )) + sleep 5 + fi + done + + if [ $count == 50 ]; then + echo "Kubernetes Failed to come up" + exit + fi +} + +function validate_gpu_updated() { + count=0 + while [ $count -lt 50 ]; do + result=$(kubectl describe nodes| grep nvidia.com/gpu) + if [[ "$result" == *"nvidia.com/gpu"* ]]; then + echo $result + echo "Node gpu info updated after " $((count * 5)) "seconds" + echo "##################### Successfully installed GPU #########################" + break + else + echo "kubectl gpu info not updated, retry : " $count + count=$(( $count + 1 )) + sleep 5 + fi + done + + if [ $count == 50 ]; then + echo "################## Failed to install gpu ####################" + swapoff -a + exit + fi +} + +function restart_docker() { + sudo pkill -SIGHUP dockerd + sudo systemctl restart docker + count=0 + while [ $count -lt 50 ]; do + result=$(sudo systemctl status docker| grep running) + if [[ "$result" == *"running"* ]]; then + echo "docker is up " $((count * 5)) "seconds" + break + else + echo "docker is not up, retry : " $count + count=$(( $count + 1 )) + sleep 5 + fi + done + + if [ $count == 50 ]; then + echo "Docker Failed to come up" + swapoff -a + exit + fi +} +echo "#################################### Ecko Shutdown #######################################" +sudo /opt/ekco/shutdown.sh + +echo "################################# Attach GPU Driver #####################################" +# edit json +edit_daemon_json +echo "################################# Restarting docker #####################################" +restart_docker +sleep 2 +# This is required because when kubeadm init start kubelet, its check docker cgroup driver and uses cgroupfs +# in case of discrepancy. So we have to change this driver and restart kubelet again +echo "################################# Restarting kubelet #####################################" +sudo sed -i 's/cgroup-driver=cgroupfs/cgroup-driver=systemd/' /var/lib/kubelet/kubeadm-flags.env +sudo systemctl restart kubelet +sleep 10 +kubernetes_cluster_up +kubectl apply -f nvidia-device-plugin.yaml +validate_gpu_updated + +echo "########################## Uncordon Node #######################################" +kubectl uncordon $(hostname | tr '[:upper:]' '[:lower:]') + +echo "################ GPU driver installation successful ###################" \ No newline at end of file diff --git a/gpu/nvidia-device-plugin.yaml b/gpu/nvidia-device-plugin.yaml new file mode 100644 index 00000000..c6fbc1e1 --- /dev/null +++ b/gpu/nvidia-device-plugin.yaml @@ -0,0 +1,61 @@ +# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved. +# +# Licensed under the Apache License, Version 2.0 (the "License"); +# you may not use this file except in compliance with the License. +# You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, software +# distributed under the License is distributed on an "AS IS" BASIS, +# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +# See the License for the specific language governing permissions and +# limitations under the License. + +apiVersion: apps/v1 +kind: DaemonSet +metadata: + name: nvidia-device-plugin-daemonset + namespace: kube-system +spec: + selector: + matchLabels: + name: nvidia-device-plugin-ds + updateStrategy: + type: RollingUpdate + template: + metadata: + # This annotation is deprecated. Kept here for backward compatibility + # See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/ + annotations: + scheduler.alpha.kubernetes.io/critical-pod: "" + labels: + name: nvidia-device-plugin-ds + spec: + tolerations: + # This toleration is deprecated. Kept here for backward compatibility + # See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/ + - key: CriticalAddonsOnly + operator: Exists + - key: nvidia.com/gpu + operator: Exists + effect: NoSchedule + # Mark this pod as a critical add-on; when enabled, the critical add-on + # scheduler reserves resources for critical add-on pods so that they can + # be rescheduled after a failure. + # See https://kubernetes.io/docs/tasks/administer-cluster/guaranteed-scheduling-critical-addon-pods/ + priorityClassName: "system-node-critical" + containers: + - image: nvidia/k8s-device-plugin:1.0.0-beta6 + name: nvidia-device-plugin-ctr + securityContext: + allowPrivilegeEscalation: false + capabilities: + drop: ["ALL"] + volumeMounts: + - name: device-plugin + mountPath: /var/lib/kubelet/device-plugins + volumes: + - name: device-plugin + hostPath: + path: /var/lib/kubelet/device-plugins \ No newline at end of file From 72635f0441ddb6863eb0c7d68e9bad5b41db5c79 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Wed, 7 Jul 2021 18:05:52 +0300 Subject: [PATCH 080/267] Update du models description --- metadata/AustralianInvoices__7__metadata.json | 2 +- metadata/DocumentUnderstanding__8__metadata.json | 2 +- .../{IdCards__1__metadata.json => IDCards__1__metadata.json} | 2 +- metadata/IndianInvoices__7__metadata.json | 2 +- metadata/Invoices__8__metadata.json | 2 +- metadata/JapaneseInvoices__5__metadata.json | 2 +- metadata/Passports__1__metadata.json | 2 +- metadata/PurchaseOrders__7__metadata.json | 2 +- metadata/Receipts__8__metadata.json | 2 +- metadata/UtilityBills__7__metadata.json | 2 +- 10 files changed, 10 insertions(+), 10 deletions(-) rename metadata/{IdCards__1__metadata.json => IDCards__1__metadata.json} (83%) diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json index 9296c448..edae1341 100644 --- a/metadata/AustralianInvoices__7__metadata.json +++ b/metadata/AustralianInvoices__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json index d4ed484f..7074baf5 100644 --- a/metadata/DocumentUnderstanding__8__metadata.json +++ b/metadata/DocumentUnderstanding__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/IdCards__1__metadata.json b/metadata/IDCards__1__metadata.json similarity index 83% rename from metadata/IdCards__1__metadata.json rename to metadata/IDCards__1__metadata.json index 95889df8..2e5cbb72 100644 --- a/metadata/IdCards__1__metadata.json +++ b/metadata/IDCards__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Model: 21.5.5", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 1, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json index 660127ef..0e65f143 100644 --- a/metadata/IndianInvoices__7__metadata.json +++ b/metadata/IndianInvoices__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json index a9ca5edd..143e5c07 100644 --- a/metadata/Invoices__8__metadata.json +++ b/metadata/Invoices__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json index 4a2d8233..8f362ca2 100644 --- a/metadata/JapaneseInvoices__5__metadata.json +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json index 80c091ed..30aaa6e6 100644 --- a/metadata/Passports__1__metadata.json +++ b/metadata/Passports__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Model: 21.5.5", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "Passports", "gpu": 1, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json index 89ee6e86..99a43ec8 100644 --- a/metadata/PurchaseOrders__7__metadata.json +++ b/metadata/PurchaseOrders__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json index 4fe02c11..b033fbae 100644 --- a/metadata/Receipts__8__metadata.json +++ b/metadata/Receipts__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json index f5034fe3..1f6f8d82 100644 --- a/metadata/UtilityBills__7__metadata.json +++ b/metadata/UtilityBills__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", From d8bc37adcf034fbde49003a57ca7bad281a72abf Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Wed, 18 Aug 2021 16:07:36 +0530 Subject: [PATCH 081/267] keeping latest versions with ContentUri --- metadata/AustralianInvoices__1__metadata.json | 23 ------------------- metadata/AustralianInvoices__2__metadata.json | 23 ------------------- metadata/AustralianInvoices__3__metadata.json | 23 ------------------- metadata/AustralianInvoices__4__metadata.json | 23 ------------------- metadata/AustralianInvoices__5__metadata.json | 23 ------------------- metadata/AustralianInvoices__6__metadata.json | 23 ------------------- metadata/AustralianInvoices__7__metadata.json | 6 ++--- metadata/ComputerVision__1__metadata.json | 4 ++-- metadata/DocumentClassifier__1__metadata.json | 23 ------------------- metadata/DocumentClassifier__2__metadata.json | 23 ------------------- metadata/DocumentClassifier__3__metadata.json | 8 +++---- .../DocumentUnderstanding__1__metadata.json | 23 ------------------- .../DocumentUnderstanding__2__metadata.json | 23 ------------------- .../DocumentUnderstanding__3__metadata.json | 23 ------------------- .../DocumentUnderstanding__4__metadata.json | 23 ------------------- .../DocumentUnderstanding__5__metadata.json | 23 ------------------- .../DocumentUnderstanding__6__metadata.json | 23 ------------------- .../DocumentUnderstanding__7__metadata.json | 23 ------------------- .../DocumentUnderstanding__8__metadata.json | 6 ++--- ...nglishTextClassification__1__metadata.json | 23 ------------------- ...nglishTextClassification__2__metadata.json | 4 ++-- metadata/FormExtractor__1__metadata.json | 4 ++-- .../HandwritingRecognition__1__metadata.json | 23 ------------------- .../HandwritingRecognition__2__metadata.json | 4 ++-- metadata/IDCards__1__metadata.json | 6 ++--- metadata/IndianInvoices__1__metadata.json | 23 ------------------- metadata/IndianInvoices__2__metadata.json | 23 ------------------- metadata/IndianInvoices__3__metadata.json | 23 ------------------- metadata/IndianInvoices__4__metadata.json | 23 ------------------- metadata/IndianInvoices__5__metadata.json | 23 ------------------- metadata/IndianInvoices__6__metadata.json | 23 ------------------- metadata/IndianInvoices__7__metadata.json | 3 +-- ...IntelligentFormExtractor__1__metadata.json | 4 ++-- ...lligentKeywordClassifier__1__metadata.json | 4 ++-- metadata/Invoices__1__metadata.json | 23 ------------------- metadata/Invoices__2__metadata.json | 23 ------------------- metadata/Invoices__3__metadata.json | 23 ------------------- metadata/Invoices__4__metadata.json | 23 ------------------- metadata/Invoices__5__metadata.json | 23 ------------------- metadata/Invoices__6__metadata.json | 23 ------------------- metadata/Invoices__7__metadata.json | 23 ------------------- metadata/Invoices__8__metadata.json | 6 ++--- metadata/JapaneseInvoices__1__metadata.json | 23 ------------------- metadata/JapaneseInvoices__2__metadata.json | 23 ------------------- metadata/JapaneseInvoices__3__metadata.json | 23 ------------------- metadata/JapaneseInvoices__4__metadata.json | 23 ------------------- metadata/JapaneseInvoices__5__metadata.json | 6 ++--- metadata/Passports__1__metadata.json | 6 ++--- metadata/PurchaseOrders__1__metadata.json | 23 ------------------- metadata/PurchaseOrders__2__metadata.json | 23 ------------------- metadata/PurchaseOrders__3__metadata.json | 23 ------------------- metadata/PurchaseOrders__4__metadata.json | 23 ------------------- metadata/PurchaseOrders__5__metadata.json | 23 ------------------- metadata/PurchaseOrders__6__metadata.json | 23 ------------------- metadata/PurchaseOrders__7__metadata.json | 6 ++--- metadata/QuestionAnswering__1__metadata.json | 4 ++-- metadata/Receipts__1__metadata.json | 23 ------------------- metadata/Receipts__2__metadata.json | 23 ------------------- metadata/Receipts__3__metadata.json | 23 ------------------- metadata/Receipts__4__metadata.json | 23 ------------------- metadata/Receipts__5__metadata.json | 23 ------------------- metadata/Receipts__6__metadata.json | 23 ------------------- metadata/Receipts__7__metadata.json | 23 ------------------- metadata/Receipts__8__metadata.json | 6 ++--- metadata/SentimentAnalysis__1__metadata.json | 4 ++-- ...TPOTAutoMLClassification__1__metadata.json | 4 ++-- metadata/TextSummarization__1__metadata.json | 4 ++-- metadata/UiPathDocumentOCR__1__metadata.json | 23 ------------------- metadata/UiPathDocumentOCR__2__metadata.json | 23 ------------------- metadata/UiPathDocumentOCR__3__metadata.json | 23 ------------------- metadata/UiPathDocumentOCR__4__metadata.json | 6 ++--- metadata/UtilityBills__1__metadata.json | 23 ------------------- metadata/UtilityBills__2__metadata.json | 23 ------------------- metadata/UtilityBills__3__metadata.json | 23 ------------------- metadata/UtilityBills__4__metadata.json | 23 ------------------- metadata/UtilityBills__5__metadata.json | 23 ------------------- metadata/UtilityBills__6__metadata.json | 23 ------------------- metadata/UtilityBills__7__metadata.json | 6 ++--- 78 files changed, 55 insertions(+), 1344 deletions(-) delete mode 100644 metadata/AustralianInvoices__1__metadata.json delete mode 100644 metadata/AustralianInvoices__2__metadata.json delete mode 100644 metadata/AustralianInvoices__3__metadata.json delete mode 100644 metadata/AustralianInvoices__4__metadata.json delete mode 100644 metadata/AustralianInvoices__5__metadata.json delete mode 100644 metadata/AustralianInvoices__6__metadata.json delete mode 100644 metadata/DocumentClassifier__1__metadata.json delete mode 100644 metadata/DocumentClassifier__2__metadata.json delete mode 100644 metadata/DocumentUnderstanding__1__metadata.json delete mode 100644 metadata/DocumentUnderstanding__2__metadata.json delete mode 100644 metadata/DocumentUnderstanding__3__metadata.json delete mode 100644 metadata/DocumentUnderstanding__4__metadata.json delete mode 100644 metadata/DocumentUnderstanding__5__metadata.json delete mode 100644 metadata/DocumentUnderstanding__6__metadata.json delete mode 100644 metadata/DocumentUnderstanding__7__metadata.json delete mode 100644 metadata/EnglishTextClassification__1__metadata.json delete mode 100644 metadata/HandwritingRecognition__1__metadata.json delete mode 100644 metadata/IndianInvoices__1__metadata.json delete mode 100644 metadata/IndianInvoices__2__metadata.json delete mode 100644 metadata/IndianInvoices__3__metadata.json delete mode 100644 metadata/IndianInvoices__4__metadata.json delete mode 100644 metadata/IndianInvoices__5__metadata.json delete mode 100644 metadata/IndianInvoices__6__metadata.json delete mode 100644 metadata/Invoices__1__metadata.json delete mode 100644 metadata/Invoices__2__metadata.json delete mode 100644 metadata/Invoices__3__metadata.json delete mode 100644 metadata/Invoices__4__metadata.json delete mode 100644 metadata/Invoices__5__metadata.json delete mode 100644 metadata/Invoices__6__metadata.json delete mode 100644 metadata/Invoices__7__metadata.json delete mode 100644 metadata/JapaneseInvoices__1__metadata.json delete mode 100644 metadata/JapaneseInvoices__2__metadata.json delete mode 100644 metadata/JapaneseInvoices__3__metadata.json delete mode 100644 metadata/JapaneseInvoices__4__metadata.json delete mode 100644 metadata/PurchaseOrders__1__metadata.json delete mode 100644 metadata/PurchaseOrders__2__metadata.json delete mode 100644 metadata/PurchaseOrders__3__metadata.json delete mode 100644 metadata/PurchaseOrders__4__metadata.json delete mode 100644 metadata/PurchaseOrders__5__metadata.json delete mode 100644 metadata/PurchaseOrders__6__metadata.json delete mode 100644 metadata/Receipts__1__metadata.json delete mode 100644 metadata/Receipts__2__metadata.json delete mode 100644 metadata/Receipts__3__metadata.json delete mode 100644 metadata/Receipts__4__metadata.json delete mode 100644 metadata/Receipts__5__metadata.json delete mode 100644 metadata/Receipts__6__metadata.json delete mode 100644 metadata/Receipts__7__metadata.json delete mode 100644 metadata/UiPathDocumentOCR__1__metadata.json delete mode 100644 metadata/UiPathDocumentOCR__2__metadata.json delete mode 100644 metadata/UiPathDocumentOCR__3__metadata.json delete mode 100644 metadata/UtilityBills__1__metadata.json delete mode 100644 metadata/UtilityBills__2__metadata.json delete mode 100644 metadata/UtilityBills__3__metadata.json delete mode 100644 metadata/UtilityBills__4__metadata.json delete mode 100644 metadata/UtilityBills__5__metadata.json delete mode 100644 metadata/UtilityBills__6__metadata.json diff --git a/metadata/AustralianInvoices__1__metadata.json b/metadata/AustralianInvoices__1__metadata.json deleted file mode 100644 index a546ff9a..00000000 --- a/metadata/AustralianInvoices__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Australian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "AustralianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "AustralianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/australianinvoices:1" -} diff --git a/metadata/AustralianInvoices__2__metadata.json b/metadata/AustralianInvoices__2__metadata.json deleted file mode 100644 index 3be7449b..00000000 --- a/metadata/AustralianInvoices__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Australian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "AustralianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "AustralianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/australianinvoices:2" -} diff --git a/metadata/AustralianInvoices__3__metadata.json b/metadata/AustralianInvoices__3__metadata.json deleted file mode 100644 index afdb8061..00000000 --- a/metadata/AustralianInvoices__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/australianinvoices:3" -} diff --git a/metadata/AustralianInvoices__4__metadata.json b/metadata/AustralianInvoices__4__metadata.json deleted file mode 100644 index 793c1fd7..00000000 --- a/metadata/AustralianInvoices__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/australianinvoices:4" -} diff --git a/metadata/AustralianInvoices__5__metadata.json b/metadata/AustralianInvoices__5__metadata.json deleted file mode 100644 index 45a0edcc..00000000 --- a/metadata/AustralianInvoices__5__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/australianinvoices:5" -} diff --git a/metadata/AustralianInvoices__6__metadata.json b/metadata/AustralianInvoices__6__metadata.json deleted file mode 100644 index fa6b8a77..00000000 --- a/metadata/AustralianInvoices__6__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/australianinvoices:6" -} diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json index edae1341..ed53c7c0 100644 --- a/metadata/AustralianInvoices__7__metadata.json +++ b/metadata/AustralianInvoices__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "inputType": "JSON", "displayName": "AustralianInvoices", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/australianinvoices:7" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/AustralianInvoices/7/invoices_au_package.zip" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index cf9bedf6..20f71638 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Computer Vision", "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/computervision:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/ComputerVision/1/cv_server.zip" } \ No newline at end of file diff --git a/metadata/DocumentClassifier__1__metadata.json b/metadata/DocumentClassifier__1__metadata.json deleted file mode 100644 index f7f131ad..00000000 --- a/metadata/DocumentClassifier__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", - "displayName": "DocumentClassifier", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "DocumentClassifier", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/documentclassifier:1" -} diff --git a/metadata/DocumentClassifier__2__metadata.json b/metadata/DocumentClassifier__2__metadata.json deleted file mode 100644 index 29aac3ce..00000000 --- a/metadata/DocumentClassifier__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", - "displayName": "DocumentClassifier", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "DocumentClassifier", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/documentclassifier:2" -} diff --git a/metadata/DocumentClassifier__3__metadata.json b/metadata/DocumentClassifier__3__metadata.json index fd677162..a1a101c0 100644 --- a/metadata/DocumentClassifier__3__metadata.json +++ b/metadata/DocumentClassifier__3__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 1, "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", "displayName": "DocumentClassifier", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/documentclassifier:3" + "minAIFabricVersion": "v21.10", + "languageVersion": 2, + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentClassifier/3/document_type_text_classifier_package.zip" } diff --git a/metadata/DocumentUnderstanding__1__metadata.json b/metadata/DocumentUnderstanding__1__metadata.json deleted file mode 100644 index 7aeec085..00000000 --- a/metadata/DocumentUnderstanding__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "DocumentUnderstanding", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "DocumentUnderstanding", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:1" -} diff --git a/metadata/DocumentUnderstanding__2__metadata.json b/metadata/DocumentUnderstanding__2__metadata.json deleted file mode 100644 index 02b75224..00000000 --- a/metadata/DocumentUnderstanding__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.7", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "DocumentUnderstanding", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "DocumentUnderstanding", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:2" -} diff --git a/metadata/DocumentUnderstanding__3__metadata.json b/metadata/DocumentUnderstanding__3__metadata.json deleted file mode 100644 index 5323951d..00000000 --- a/metadata/DocumentUnderstanding__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "DocumentUnderstanding", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "DocumentUnderstanding", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:3" -} diff --git a/metadata/DocumentUnderstanding__4__metadata.json b/metadata/DocumentUnderstanding__4__metadata.json deleted file mode 100644 index fd26cdf4..00000000 --- a/metadata/DocumentUnderstanding__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:4" -} diff --git a/metadata/DocumentUnderstanding__5__metadata.json b/metadata/DocumentUnderstanding__5__metadata.json deleted file mode 100644 index adf6587a..00000000 --- a/metadata/DocumentUnderstanding__5__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:5" -} diff --git a/metadata/DocumentUnderstanding__6__metadata.json b/metadata/DocumentUnderstanding__6__metadata.json deleted file mode 100644 index 85368109..00000000 --- a/metadata/DocumentUnderstanding__6__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:6" -} diff --git a/metadata/DocumentUnderstanding__7__metadata.json b/metadata/DocumentUnderstanding__7__metadata.json deleted file mode 100644 index 6db07e9e..00000000 --- a/metadata/DocumentUnderstanding__7__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:7" -} diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json index 7074baf5..9d3c3e6e 100644 --- a/metadata/DocumentUnderstanding__8__metadata.json +++ b/metadata/DocumentUnderstanding__8__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "inputType": "JSON", "displayName": "DocumentUnderstanding", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/documentunderstanding:8" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentUnderstanding/8/du_package.zip" } diff --git a/metadata/EnglishTextClassification__1__metadata.json b/metadata/EnglishTextClassification__1__metadata.json deleted file mode 100644 index 3cab6d1b..00000000 --- a/metadata/EnglishTextClassification__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", - "displayName": "EnglishTextClassification", - "gpu": 0, - "inputDescription": "Text to be classified as String: 'I loved this movie.'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "EnglishTextClassification", - "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", - "processorType": "GPU", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectId": "[project-id]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/englishtextclassification:1" -} diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json index 641bc559..9b02f2f4 100644 --- a/metadata/EnglishTextClassification__2__metadata.json +++ b/metadata/EnglishTextClassification__2__metadata.json @@ -17,7 +17,7 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/englishtextclassification:2" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/EnglishTextClassification/2/EnglishTextClassificationAG.zip" } diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index edc65204..60b74e1c 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/formextractor:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/FormExtractor/1/FE-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/HandwritingRecognition__1__metadata.json b/metadata/HandwritingRecognition__1__metadata.json deleted file mode 100644 index d6f3ec8c..00000000 --- a/metadata/HandwritingRecognition__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.10", - "cpu": 0, - "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "HandwritingRecognition", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "HandwritingRecognition", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:1" -} diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json index 320852b6..398eac1f 100644 --- a/metadata/HandwritingRecognition__2__metadata.json +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/handwritingrecognition:2" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/HandwritingRecognition/2/hwocr_aif_package-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/IDCards__1__metadata.json b/metadata/IDCards__1__metadata.json index 2e5cbb72..dbcabd65 100644 --- a/metadata/IDCards__1__metadata.json +++ b/metadata/IDCards__1__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/idcards:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IDCards/1/id_cards_package.zip" } diff --git a/metadata/IndianInvoices__1__metadata.json b/metadata/IndianInvoices__1__metadata.json deleted file mode 100644 index 1275a32c..00000000 --- a/metadata/IndianInvoices__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Indian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "IndianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "IndianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/indianinvoices:1" -} diff --git a/metadata/IndianInvoices__2__metadata.json b/metadata/IndianInvoices__2__metadata.json deleted file mode 100644 index cd7fbec3..00000000 --- a/metadata/IndianInvoices__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Indian Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "IndianInvoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IndianInvoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/indianinvoices:2" -} diff --git a/metadata/IndianInvoices__3__metadata.json b/metadata/IndianInvoices__3__metadata.json deleted file mode 100644 index c75bbc1e..00000000 --- a/metadata/IndianInvoices__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/indianinvoices:3" -} diff --git a/metadata/IndianInvoices__4__metadata.json b/metadata/IndianInvoices__4__metadata.json deleted file mode 100644 index 7cdec0ac..00000000 --- a/metadata/IndianInvoices__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/indianinvoices:4" -} diff --git a/metadata/IndianInvoices__5__metadata.json b/metadata/IndianInvoices__5__metadata.json deleted file mode 100644 index 6726e176..00000000 --- a/metadata/IndianInvoices__5__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/indianinvoices:5" -} diff --git a/metadata/IndianInvoices__6__metadata.json b/metadata/IndianInvoices__6__metadata.json deleted file mode 100644 index 027694d3..00000000 --- a/metadata/IndianInvoices__6__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/indianinvoices:6" -} diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json index 0e65f143..caa9568b 100644 --- a/metadata/IndianInvoices__7__metadata.json +++ b/metadata/IndianInvoices__7__metadata.json @@ -19,5 +19,4 @@ "tenantName": "UiPath", "minAIFabricVersion": "v20.10.1.2", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/indianinvoices:7" -} + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IndianInvoices/7/invoices_india_package.zip" diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index e7ca970c..f849f87f 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/intelligentformextractor:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index 724fe35e..a03959a5 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/intelligentkeywordclassifier:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/Invoices__1__metadata.json b/metadata/Invoices__1__metadata.json deleted file mode 100644 index 7a44a0da..00000000 --- a/metadata/Invoices__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Invoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "Invoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/invoices:1" -} diff --git a/metadata/Invoices__2__metadata.json b/metadata/Invoices__2__metadata.json deleted file mode 100644 index b2439b32..00000000 --- a/metadata/Invoices__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.7", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Invoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Invoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/invoices:2" -} diff --git a/metadata/Invoices__3__metadata.json b/metadata/Invoices__3__metadata.json deleted file mode 100644 index 396877c1..00000000 --- a/metadata/Invoices__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Invoices", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Invoices", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/invoices:3" -} diff --git a/metadata/Invoices__4__metadata.json b/metadata/Invoices__4__metadata.json deleted file mode 100644 index 022d4969..00000000 --- a/metadata/Invoices__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/invoices:4" -} diff --git a/metadata/Invoices__5__metadata.json b/metadata/Invoices__5__metadata.json deleted file mode 100644 index 84f8483c..00000000 --- a/metadata/Invoices__5__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/invoices:5" -} diff --git a/metadata/Invoices__6__metadata.json b/metadata/Invoices__6__metadata.json deleted file mode 100644 index 6bec186f..00000000 --- a/metadata/Invoices__6__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/invoices:6" -} diff --git a/metadata/Invoices__7__metadata.json b/metadata/Invoices__7__metadata.json deleted file mode 100644 index 460b8087..00000000 --- a/metadata/Invoices__7__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/invoices:7" -} diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json index 143e5c07..1168c6d4 100644 --- a/metadata/Invoices__8__metadata.json +++ b/metadata/Invoices__8__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "inputType": "JSON", "displayName": "Invoices", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/invoices:8" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Invoices/8/invoices_package.zip" } diff --git a/metadata/JapaneseInvoices__1__metadata.json b/metadata/JapaneseInvoices__1__metadata.json deleted file mode 100644 index 15e517f2..00000000 --- a/metadata/JapaneseInvoices__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:1" -} diff --git a/metadata/JapaneseInvoices__2__metadata.json b/metadata/JapaneseInvoices__2__metadata.json deleted file mode 100644 index 694ecf15..00000000 --- a/metadata/JapaneseInvoices__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:2" -} diff --git a/metadata/JapaneseInvoices__3__metadata.json b/metadata/JapaneseInvoices__3__metadata.json deleted file mode 100644 index a3d48e63..00000000 --- a/metadata/JapaneseInvoices__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:3" -} diff --git a/metadata/JapaneseInvoices__4__metadata.json b/metadata/JapaneseInvoices__4__metadata.json deleted file mode 100644 index 1694ae2b..00000000 --- a/metadata/JapaneseInvoices__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:4" -} diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json index 8f362ca2..f126098d 100644 --- a/metadata/JapaneseInvoices__5__metadata.json +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "inputType": "JSON", "displayName": "JapaneseInvoices", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/japaneseinvoices:5" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/JapaneseInvoices/5/invoices_japan_package.zip" } diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json index 30aaa6e6..bfe80948 100644 --- a/metadata/Passports__1__metadata.json +++ b/metadata/Passports__1__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "Passports", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/passports:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Passports/1/passports_package.zip" } diff --git a/metadata/PurchaseOrders__1__metadata.json b/metadata/PurchaseOrders__1__metadata.json deleted file mode 100644 index a9cd07c1..00000000 --- a/metadata/PurchaseOrders__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "PurchaseOrders", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "PurchaseOrders", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/purchaseorders:1" -} diff --git a/metadata/PurchaseOrders__2__metadata.json b/metadata/PurchaseOrders__2__metadata.json deleted file mode 100644 index 78fbfa35..00000000 --- a/metadata/PurchaseOrders__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "PurchaseOrders", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "PurchaseOrders", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/purchaseorders:2" -} diff --git a/metadata/PurchaseOrders__3__metadata.json b/metadata/PurchaseOrders__3__metadata.json deleted file mode 100644 index 079c68c8..00000000 --- a/metadata/PurchaseOrders__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/purchaseorders:3" -} diff --git a/metadata/PurchaseOrders__4__metadata.json b/metadata/PurchaseOrders__4__metadata.json deleted file mode 100644 index a45f2e65..00000000 --- a/metadata/PurchaseOrders__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/purchaseorders:4" -} diff --git a/metadata/PurchaseOrders__5__metadata.json b/metadata/PurchaseOrders__5__metadata.json deleted file mode 100644 index 5041fe2a..00000000 --- a/metadata/PurchaseOrders__5__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/purchaseorders:5" -} diff --git a/metadata/PurchaseOrders__6__metadata.json b/metadata/PurchaseOrders__6__metadata.json deleted file mode 100644 index f608f608..00000000 --- a/metadata/PurchaseOrders__6__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/purchaseorders:6" -} diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json index 99a43ec8..1926867e 100644 --- a/metadata/PurchaseOrders__7__metadata.json +++ b/metadata/PurchaseOrders__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "inputType": "JSON", "displayName": "PurchaseOrders", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/purchaseorders:7" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/PurchaseOrders/7/purchase_orders_package.zip" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json index f4d7440d..b90096cf 100644 --- a/metadata/QuestionAnswering__1__metadata.json +++ b/metadata/QuestionAnswering__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/questionanswering:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/QuestionAnswering/1/Model.zip" } diff --git a/metadata/Receipts__1__metadata.json b/metadata/Receipts__1__metadata.json deleted file mode 100644 index 860d2f1c..00000000 --- a/metadata/Receipts__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Receipts", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "Receipts", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/receipts:1" -} diff --git a/metadata/Receipts__2__metadata.json b/metadata/Receipts__2__metadata.json deleted file mode 100644 index bbf11585..00000000 --- a/metadata/Receipts__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.7", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Receipts", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "Receipts", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/receipts:2" -} diff --git a/metadata/Receipts__3__metadata.json b/metadata/Receipts__3__metadata.json deleted file mode 100644 index 6cdafe12..00000000 --- a/metadata/Receipts__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "Receipts", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Receipts", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/receipts:3" -} diff --git a/metadata/Receipts__4__metadata.json b/metadata/Receipts__4__metadata.json deleted file mode 100644 index 05da35ae..00000000 --- a/metadata/Receipts__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/receipts:4" -} diff --git a/metadata/Receipts__5__metadata.json b/metadata/Receipts__5__metadata.json deleted file mode 100644 index e2ea3385..00000000 --- a/metadata/Receipts__5__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/receipts:5" -} diff --git a/metadata/Receipts__6__metadata.json b/metadata/Receipts__6__metadata.json deleted file mode 100644 index 894dd06e..00000000 --- a/metadata/Receipts__6__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/receipts:6" -} diff --git a/metadata/Receipts__7__metadata.json b/metadata/Receipts__7__metadata.json deleted file mode 100644 index a9667ba7..00000000 --- a/metadata/Receipts__7__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/receipts:7" -} diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json index b033fbae..5ec8d6c4 100644 --- a/metadata/Receipts__8__metadata.json +++ b/metadata/Receipts__8__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "inputType": "JSON", "displayName": "Receipts", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/receipts:8" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Receipts/8/receipts_package.zip" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json index 5f01edb3..241b2fef 100644 --- a/metadata/SentimentAnalysis__1__metadata.json +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "Language Analysis", "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/sentimentanalysis:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/SentimentAnalysis/1/Model.zip" } diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index f16111c1..16ec8c50 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "Tabular Data", "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/tpotautomlclassification:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TPOTAutoMLClassification/1/TPOTAutoMLClassification.zip" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index ae1a26a0..2e81f34d 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "Language Comprehension", "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering", "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v20.7.1", + "minAIFabricVersion": "v21.10", "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/textsummarization:1" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TextSummarization/1/Model.zip" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__1__metadata.json b/metadata/UiPathDocumentOCR__1__metadata.json deleted file mode 100644 index c03151c9..00000000 --- a/metadata/UiPathDocumentOCR__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.10", - "cpu": 0, - "description": "Machine Learning model for extracting text from Documents. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:1" -} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__2__metadata.json b/metadata/UiPathDocumentOCR__2__metadata.json deleted file mode 100644 index a750dd5a..00000000 --- a/metadata/UiPathDocumentOCR__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.12.2", - "cpu": 0, - "description": "Machine Learning model for extracting text from Documents. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:2" -} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__3__metadata.json b/metadata/UiPathDocumentOCR__3__metadata.json deleted file mode 100644 index a7547787..00000000 --- a/metadata/UiPathDocumentOCR__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Model v21.1.7", - "cpu": 0, - "description": "Machine Learning model for extracting text from Documents. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key.", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:3" -} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__4__metadata.json b/metadata/UiPathDocumentOCR__4__metadata.json index fb7af214..1e34a935 100644 --- a/metadata/UiPathDocumentOCR__4__metadata.json +++ b/metadata/UiPathDocumentOCR__4__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/uipathdocumentocr:4" + "minAIFabricVersion": "v21.10", + "languageVersion": 2, + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UiPathDocumentOCR/4/ocr_aif_package.zip" } \ No newline at end of file diff --git a/metadata/UtilityBills__1__metadata.json b/metadata/UtilityBills__1__metadata.json deleted file mode 100644 index a108e69c..00000000 --- a/metadata/UtilityBills__1__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "UtilityBills", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_DU", - "name": "UtilityBills", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/utilitybills:1" -} diff --git a/metadata/UtilityBills__2__metadata.json b/metadata/UtilityBills__2__metadata.json deleted file mode 100644 index a1fa844b..00000000 --- a/metadata/UtilityBills__2__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "displayName": "UtilityBills", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UtilityBills", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/utilitybills:2" -} diff --git a/metadata/UtilityBills__3__metadata.json b/metadata/UtilityBills__3__metadata.json deleted file mode 100644 index 9e5c6a0d..00000000 --- a/metadata/UtilityBills__3__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.10.4", - "cpu": 0, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.7.1", - "languageVersion": 0, - "imagePath": "registry.replicated.com/aif-core/utilitybills:3" -} diff --git a/metadata/UtilityBills__4__metadata.json b/metadata/UtilityBills__4__metadata.json deleted file mode 100644 index 2ee3f9e1..00000000 --- a/metadata/UtilityBills__4__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 20.11.3", - "cpu": 0, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/utilitybills:4" -} diff --git a/metadata/UtilityBills__5__metadata.json b/metadata/UtilityBills__5__metadata.json deleted file mode 100644 index 7cbeddec..00000000 --- a/metadata/UtilityBills__5__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.1.8", - "cpu": 0, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 1, - "imagePath": "registry.replicated.com/aif-core/utilitybills:5" -} diff --git a/metadata/UtilityBills__6__metadata.json b/metadata/UtilityBills__6__metadata.json deleted file mode 100644 index 2019c0e4..00000000 --- a/metadata/UtilityBills__6__metadata.json +++ /dev/null @@ -1,23 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.4.7", - "cpu": 0, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/utilitybills:6" -} diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json index 1f6f8d82..1248a25c 100644 --- a/metadata/UtilityBills__7__metadata.json +++ b/metadata/UtilityBills__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", + "changeLog": "Model: 21.5.6", "cpu": 0, "inputType": "JSON", "displayName": "UtilityBills", @@ -17,7 +17,7 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 2, - "imagePath": "registry.replicated.com/aif-core/utilitybills:7" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UtilityBills/7/utility_bills_package.zip" } From 4b07a0c427f61eb42516f492a4621564bd4e45c0 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Wed, 18 Aug 2021 16:23:56 +0530 Subject: [PATCH 082/267] move dococr to v5 as it is newer model --- ...__4__metadata.json => UiPathDocumentOCR__5__metadata.json} | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) rename metadata/{UiPathDocumentOCR__4__metadata.json => UiPathDocumentOCR__5__metadata.json} (93%) diff --git a/metadata/UiPathDocumentOCR__4__metadata.json b/metadata/UiPathDocumentOCR__5__metadata.json similarity index 93% rename from metadata/UiPathDocumentOCR__4__metadata.json rename to metadata/UiPathDocumentOCR__5__metadata.json index 1e34a935..c1ca5d44 100644 --- a/metadata/UiPathDocumentOCR__4__metadata.json +++ b/metadata/UiPathDocumentOCR__5__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 21.6.3 Build: v2021061706", + "changeLog": "Model: 21.8.2", "cpu": 0, "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR", @@ -19,5 +19,5 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UiPathDocumentOCR/4/ocr_aif_package.zip" + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UiPathDocumentOCR/5/ocr_aif_package.zip" } \ No newline at end of file From 5b95ab737f88e31e4614833702429a76ec893f1e Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Fri, 20 Aug 2021 22:24:02 +0530 Subject: [PATCH 083/267] add version field for Naren and fix json --- metadata/AustralianInvoices__7__metadata.json | 1 + metadata/ComputerVision__1__metadata.json | 1 + metadata/DocumentClassifier__3__metadata.json | 1 + metadata/DocumentUnderstanding__8__metadata.json | 1 + metadata/EnglishTextClassification__2__metadata.json | 1 + metadata/FormExtractor__1__metadata.json | 1 + metadata/HandwritingRecognition__2__metadata.json | 1 + metadata/IDCards__1__metadata.json | 1 + metadata/IndianInvoices__7__metadata.json | 2 ++ metadata/IntelligentFormExtractor__1__metadata.json | 1 + metadata/IntelligentKeywordClassifier__1__metadata.json | 1 + metadata/Invoices__8__metadata.json | 1 + metadata/JapaneseInvoices__5__metadata.json | 1 + metadata/Passports__1__metadata.json | 1 + metadata/PurchaseOrders__7__metadata.json | 1 + metadata/QuestionAnswering__1__metadata.json | 1 + metadata/Receipts__8__metadata.json | 1 + metadata/SentimentAnalysis__1__metadata.json | 1 + metadata/TPOTAutoMLClassification__1__metadata.json | 1 + metadata/TextSummarization__1__metadata.json | 1 + metadata/UiPathDocumentOCR__5__metadata.json | 1 + metadata/UtilityBills__7__metadata.json | 1 + 22 files changed, 23 insertions(+) diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json index ed53c7c0..db31631f 100644 --- a/metadata/AustralianInvoices__7__metadata.json +++ b/metadata/AustralianInvoices__7__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 7, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/AustralianInvoices/7/invoices_au_package.zip" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index 20f71638..11fca754 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/ComputerVision/1/cv_server.zip" } \ No newline at end of file diff --git a/metadata/DocumentClassifier__3__metadata.json b/metadata/DocumentClassifier__3__metadata.json index a1a101c0..86301a3a 100644 --- a/metadata/DocumentClassifier__3__metadata.json +++ b/metadata/DocumentClassifier__3__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 3, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentClassifier/3/document_type_text_classifier_package.zip" } diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json index 9d3c3e6e..052e2013 100644 --- a/metadata/DocumentUnderstanding__8__metadata.json +++ b/metadata/DocumentUnderstanding__8__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 8, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentUnderstanding/8/du_package.zip" } diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json index 9b02f2f4..b67e3526 100644 --- a/metadata/EnglishTextClassification__2__metadata.json +++ b/metadata/EnglishTextClassification__2__metadata.json @@ -19,5 +19,6 @@ "tenantName": "Open-Source Packages", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 2, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/EnglishTextClassification/2/EnglishTextClassificationAG.zip" } diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index 60b74e1c..326686a9 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/FormExtractor/1/FE-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json index 398eac1f..ec7ae222 100644 --- a/metadata/HandwritingRecognition__2__metadata.json +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 2, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/HandwritingRecognition/2/hwocr_aif_package-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/IDCards__1__metadata.json b/metadata/IDCards__1__metadata.json index dbcabd65..2e37738c 100644 --- a/metadata/IDCards__1__metadata.json +++ b/metadata/IDCards__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IDCards/1/id_cards_package.zip" } diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json index caa9568b..62a51889 100644 --- a/metadata/IndianInvoices__7__metadata.json +++ b/metadata/IndianInvoices__7__metadata.json @@ -19,4 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v20.10.1.2", "languageVersion": 2, + "version": 7, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IndianInvoices/7/invoices_india_package.zip" +} diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index f849f87f..a3d12cae 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index a03959a5..0f599458 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json index 1168c6d4..a94e7e61 100644 --- a/metadata/Invoices__8__metadata.json +++ b/metadata/Invoices__8__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 8, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Invoices/8/invoices_package.zip" } diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json index f126098d..56bfc435 100644 --- a/metadata/JapaneseInvoices__5__metadata.json +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 5, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/JapaneseInvoices/5/invoices_japan_package.zip" } diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json index bfe80948..a62664da 100644 --- a/metadata/Passports__1__metadata.json +++ b/metadata/Passports__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Passports/1/passports_package.zip" } diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json index 1926867e..375b76c4 100644 --- a/metadata/PurchaseOrders__7__metadata.json +++ b/metadata/PurchaseOrders__7__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 7, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/PurchaseOrders/7/purchase_orders_package.zip" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json index b90096cf..61d47ebb 100644 --- a/metadata/QuestionAnswering__1__metadata.json +++ b/metadata/QuestionAnswering__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "Open-Source Packages", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/QuestionAnswering/1/Model.zip" } diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json index 5ec8d6c4..3a47cb7f 100644 --- a/metadata/Receipts__8__metadata.json +++ b/metadata/Receipts__8__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 8, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Receipts/8/receipts_package.zip" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json index 241b2fef..c81ffabe 100644 --- a/metadata/SentimentAnalysis__1__metadata.json +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "Open-Source Packages", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/SentimentAnalysis/1/Model.zip" } diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index 16ec8c50..d571b83a 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "Open-Source Packages", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TPOTAutoMLClassification/1/TPOTAutoMLClassification.zip" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index 2e81f34d..c0f71b51 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -19,5 +19,6 @@ "tenantName": "Open-Source Packages", "minAIFabricVersion": "v21.10", "languageVersion": 0, + "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TextSummarization/1/Model.zip" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__5__metadata.json b/metadata/UiPathDocumentOCR__5__metadata.json index c1ca5d44..58c0c4b8 100644 --- a/metadata/UiPathDocumentOCR__5__metadata.json +++ b/metadata/UiPathDocumentOCR__5__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 5, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UiPathDocumentOCR/5/ocr_aif_package.zip" } \ No newline at end of file diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json index 1248a25c..170ed3eb 100644 --- a/metadata/UtilityBills__7__metadata.json +++ b/metadata/UtilityBills__7__metadata.json @@ -19,5 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "version": 7, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UtilityBills/7/utility_bills_package.zip" } From ed1d4d7189cb27366506d6739106a7863ce71304 Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Thu, 2 Sep 2021 13:48:40 +0530 Subject: [PATCH 084/267] add image tags (#127) --- metadata/AustralianInvoices__7__metadata.json | 2 ++ metadata/ComputerVision__1__metadata.json | 2 ++ metadata/DocumentClassifier__3__metadata.json | 2 ++ .../DocumentUnderstanding__8__metadata.json | 2 ++ metadata/FormExtractor__1__metadata.json | 24 ------------------- .../HandwritingRecognition__2__metadata.json | 24 ------------------- metadata/IDCards__1__metadata.json | 2 ++ metadata/IndianInvoices__7__metadata.json | 2 ++ ...IntelligentFormExtractor__1__metadata.json | 24 ------------------- metadata/Invoices__8__metadata.json | 2 ++ metadata/JapaneseInvoices__5__metadata.json | 2 ++ metadata/Passports__1__metadata.json | 2 ++ metadata/PurchaseOrders__7__metadata.json | 2 ++ metadata/QuestionAnswering__1__metadata.json | 24 ------------------- metadata/Receipts__8__metadata.json | 2 ++ metadata/SentimentAnalysis__1__metadata.json | 24 ------------------- metadata/UiPathDocumentOCR__5__metadata.json | 2 ++ metadata/UtilityBills__7__metadata.json | 2 ++ 18 files changed, 26 insertions(+), 120 deletions(-) delete mode 100644 metadata/FormExtractor__1__metadata.json delete mode 100644 metadata/HandwritingRecognition__2__metadata.json delete mode 100644 metadata/IntelligentFormExtractor__1__metadata.json delete mode 100644 metadata/QuestionAnswering__1__metadata.json delete mode 100644 metadata/SentimentAnalysis__1__metadata.json diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json index db31631f..e6e803d5 100644 --- a/metadata/AustralianInvoices__7__metadata.json +++ b/metadata/AustralianInvoices__7__metadata.json @@ -20,5 +20,7 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 7, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/AustralianInvoices/7/invoices_au_package.zip" } diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__1__metadata.json index 11fca754..b2cc3afc 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__1__metadata.json @@ -20,5 +20,7 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, + "baseImageCpu": "python36cv:v21.8.1", + "baseImageGpu": "python36cv:v21.8.1-gpu", "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/ComputerVision/1/cv_server.zip" } \ No newline at end of file diff --git a/metadata/DocumentClassifier__3__metadata.json b/metadata/DocumentClassifier__3__metadata.json index 86301a3a..0cc3ea35 100644 --- a/metadata/DocumentClassifier__3__metadata.json +++ b/metadata/DocumentClassifier__3__metadata.json @@ -20,5 +20,7 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 3, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentClassifier/3/document_type_text_classifier_package.zip" } diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json index 052e2013..fac01118 100644 --- a/metadata/DocumentUnderstanding__8__metadata.json +++ b/metadata/DocumentUnderstanding__8__metadata.json @@ -19,6 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 8, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentUnderstanding/8/du_package.zip" } diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json deleted file mode 100644 index 326686a9..00000000 --- a/metadata/FormExtractor__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", - "displayName": "FormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "FormExtractor", - "outputDescription": "Please refer to the documentation of the Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/FormExtractor/1/FE-du-svc-v21.7-18-main.4a0e8c.zip" -} diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json deleted file mode 100644 index ec7ae222..00000000 --- a/metadata/HandwritingRecognition__2__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Release v2021.04", - "cpu": 0, - "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "HandwritingRecognition", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "HandwritingRecognition", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 2, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/HandwritingRecognition/2/hwocr_aif_package-du-svc-v21.7-18-main.4a0e8c.zip" -} diff --git a/metadata/IDCards__1__metadata.json b/metadata/IDCards__1__metadata.json index 2e37738c..e8783b63 100644 --- a/metadata/IDCards__1__metadata.json +++ b/metadata/IDCards__1__metadata.json @@ -20,5 +20,7 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 1, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IDCards/1/id_cards_package.zip" } diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json index 62a51889..cd5ec79a 100644 --- a/metadata/IndianInvoices__7__metadata.json +++ b/metadata/IndianInvoices__7__metadata.json @@ -20,5 +20,7 @@ "minAIFabricVersion": "v20.10.1.2", "languageVersion": 2, "version": 7, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IndianInvoices/7/invoices_india_package.zip" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json deleted file mode 100644 index a3d12cae..00000000 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Release v2020.8", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "IntelligentFormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IntelligentFormExtractor", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21.7-18-main.4a0e8c.zip" -} diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json index a94e7e61..5bc1984f 100644 --- a/metadata/Invoices__8__metadata.json +++ b/metadata/Invoices__8__metadata.json @@ -20,5 +20,7 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 8, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Invoices/8/invoices_package.zip" } diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json index 56bfc435..7c8b07c3 100644 --- a/metadata/JapaneseInvoices__5__metadata.json +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -20,5 +20,7 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 5, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/JapaneseInvoices/5/invoices_japan_package.zip" } diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json index a62664da..c3162333 100644 --- a/metadata/Passports__1__metadata.json +++ b/metadata/Passports__1__metadata.json @@ -19,6 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Passports/1/passports_package.zip" } diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json index 375b76c4..6da874bf 100644 --- a/metadata/PurchaseOrders__7__metadata.json +++ b/metadata/PurchaseOrders__7__metadata.json @@ -19,6 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 7, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/PurchaseOrders/7/purchase_orders_package.zip" } diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json deleted file mode 100644 index 61d47ebb..00000000 --- a/metadata/QuestionAnswering__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This model was open sourced by ONNX. The model predicts the answer to a question based on some paragraph context. A common use case is in KYC or processing financial reports where a common question can be applied to a standard set of documents. It is based on the state-of-the-art BERT (Bidirectional Encoder Representations from Transformers). The model applies Transformers, a popular attention model, to language modelling to produce an encoding of the input and then trains on the task of question answering. The implementation is open sourced by the license here: https://github.com/onnx/models/blob/master/LICENSE", - "displayName": "QuestionAnswering", - "gpu": 0, - "inputDescription": "The input is a paragraph and question relating to that paragraph. For example:\n```\n{\n \"paragraph\": \"Abraham Lincoln was an American statesman and lawyer who served as the 16th president of the United States from March 1861 until his assassination in April 1865. Lincoln led the nation through the American Civil War, its bloodiest war and its greatest moral, constitutional, and political crisis.[3][4] He preserved the Union, abolished slavery, strengthened the federal government, and modernized the U.S. economy.\",\n \"question\": \"Which year did Lincoln pass away?\"\n}```", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "QuestionAnswering", - "outputDescription": "Answer to the questions asked in input mapped to ids\n```\n{\n \"answer\": \"1865\"\n}\n```", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "Language Comprehension", - "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/QuestionAnswering/1/Model.zip" -} diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json index 3a47cb7f..f4488342 100644 --- a/metadata/Receipts__8__metadata.json +++ b/metadata/Receipts__8__metadata.json @@ -19,6 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 8, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Receipts/8/receipts_package.zip" } diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json deleted file mode 100644 index c81ffabe..00000000 --- a/metadata/SentimentAnalysis__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This model was open sourced by Facebook Research. It predicts the sentiment of a text in English Language. Possible predictions are one of \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". The model was trained on amazon product review data thus, the model predictions may have some unexpected results for different data distributions. A common use case is to route unstructured language content (e.g. emails) to an appropriate responder based on the sentiment of the text. The model implementation is open sourced by the license here: https://github.com/facebookresearch/fastText/blob/master/LICENSE", - "displayName": "SentimentAnalysis", - "gpu": 0, - "inputDescription": "Text to be analyzed.\nFor example:\n'I am dissatisfied with this service'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "SentimentAnalysis", - "outputDescription": "JSON with class name and confidence on that class prediction (between 0-1). Class prediction can be one of: \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". For example: {\"sentiment\": \"Very Negative\", \"confidence\": 0.97}", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "Language Analysis", - "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/SentimentAnalysis/1/Model.zip" -} diff --git a/metadata/UiPathDocumentOCR__5__metadata.json b/metadata/UiPathDocumentOCR__5__metadata.json index 58c0c4b8..53f47c97 100644 --- a/metadata/UiPathDocumentOCR__5__metadata.json +++ b/metadata/UiPathDocumentOCR__5__metadata.json @@ -19,6 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 5, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UiPathDocumentOCR/5/ocr_aif_package.zip" } \ No newline at end of file diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json index 170ed3eb..4776c483 100644 --- a/metadata/UtilityBills__7__metadata.json +++ b/metadata/UtilityBills__7__metadata.json @@ -19,6 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, + "baseImageCpu": "python37du:v21.8.1-2", + "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 7, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UtilityBills/7/utility_bills_package.zip" } From b6d25c9cea4581bb0ee14d082389a7df5514eaf5 Mon Sep 17 00:00:00 2001 From: "aakash.kaushik" Date: Mon, 6 Sep 2021 13:12:09 +0530 Subject: [PATCH 085/267] added task mining metadata --- metadata/TaskMining__1__metadata.json | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/TaskMining__1__metadata.json diff --git a/metadata/TaskMining__1__metadata.json b/metadata/TaskMining__1__metadata.json new file mode 100644 index 00000000..704d118f --- /dev/null +++ b/metadata/TaskMining__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "TMAnalyzerModel", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", + "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", + "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", + "changeLog": "Model: 1.0.19", + "cpu": 0, + "inputType": "JSON", + "displayName": "TMAnalyzerModel", + "memory": 0, + "mlPackageLanguage": "PYTHON37", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Task Mining", + "projectDescription": "UiPath Task Mining models to analyze captured data", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 0, + "version": 1, + "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TaskMining/1/task_mining.zip" +} \ No newline at end of file From c3492b4faa538ca89ada0c3eace930f892d0facf Mon Sep 17 00:00:00 2001 From: "aakash.kaushik" Date: Mon, 6 Sep 2021 13:55:06 +0530 Subject: [PATCH 086/267] changed minversion --- metadata/TaskMining__1__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/TaskMining__1__metadata.json b/metadata/TaskMining__1__metadata.json index 704d118f..b09fc4bc 100644 --- a/metadata/TaskMining__1__metadata.json +++ b/metadata/TaskMining__1__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Task Mining", "projectDescription": "UiPath Task Mining models to analyze captured data", "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", + "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TaskMining/1/task_mining.zip" From 4594952b46cda528cddcd2e76b052531a14ccd4a Mon Sep 17 00:00:00 2001 From: "aakash.kaushik" Date: Mon, 6 Sep 2021 15:53:46 +0530 Subject: [PATCH 087/267] added test --- metadata/Sample__1__metadata.json | 24 ++++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/Sample__1__metadata.json diff --git a/metadata/Sample__1__metadata.json b/metadata/Sample__1__metadata.json new file mode 100644 index 00000000..63c110c4 --- /dev/null +++ b/metadata/Sample__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "Test", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", + "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", + "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", + "changeLog": "Model: 1.0.19", + "cpu": 0, + "inputType": "JSON", + "displayName": "Test", + "memory": 0, + "mlPackageLanguage": "PYTHON37", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Task Mining", + "projectDescription": "UiPath Task Mining models to analyze captured data", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 0, + "version": 1, + "contentUri": "https:// Date: Mon, 6 Sep 2021 16:53:07 +0530 Subject: [PATCH 088/267] deleted sample file --- metadata/Sample__1__metadata.json | 24 ------------------------ 1 file changed, 24 deletions(-) delete mode 100644 metadata/Sample__1__metadata.json diff --git a/metadata/Sample__1__metadata.json b/metadata/Sample__1__metadata.json deleted file mode 100644 index 63c110c4..00000000 --- a/metadata/Sample__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "Test", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", - "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", - "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", - "changeLog": "Model: 1.0.19", - "cpu": 0, - "inputType": "JSON", - "displayName": "Test", - "memory": 0, - "mlPackageLanguage": "PYTHON37", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Task Mining", - "projectDescription": "UiPath Task Mining models to analyze captured data", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 1, - "contentUri": "https:// Date: Mon, 13 Sep 2021 10:50:01 +0530 Subject: [PATCH 089/267] added model 1.0.20 --- metadata/TaskMining__1__metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/metadata/TaskMining__1__metadata.json b/metadata/TaskMining__1__metadata.json index b09fc4bc..23ab4526 100644 --- a/metadata/TaskMining__1__metadata.json +++ b/metadata/TaskMining__1__metadata.json @@ -6,12 +6,12 @@ "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", - "changeLog": "Model: 1.0.19", + "changeLog": "Model: 1.0.20", "cpu": 0, "inputType": "JSON", "displayName": "TMAnalyzerModel", "memory": 0, - "mlPackageLanguage": "PYTHON37", + "mlPackageLanguage": "PYTHON38", "projectId": "[project-id]", "stagingUri": "[staging-uri]", "projectName": "UiPath Task Mining", From acf335bb5677010a309a9801082f9025b2d259a6 Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Thu, 16 Sep 2021 14:36:47 +0530 Subject: [PATCH 090/267] add computer vision 21.2 model with latest baseimage --- .../Python36_CV__2__metadata.json | 20 ++++++++++ .../Python37_DU__2__metadata.json | 40 ------------------- ....json => ComputerVision__2__metadata.json} | 12 +++--- 3 files changed, 26 insertions(+), 46 deletions(-) create mode 100644 language_version_metadata/Python36_CV__2__metadata.json delete mode 100644 language_version_metadata/Python37_DU__2__metadata.json rename metadata/{ComputerVision__1__metadata.json => ComputerVision__2__metadata.json} (78%) diff --git a/language_version_metadata/Python36_CV__2__metadata.json b/language_version_metadata/Python36_CV__2__metadata.json new file mode 100644 index 00000000..f1148487 --- /dev/null +++ b/language_version_metadata/Python36_CV__2__metadata.json @@ -0,0 +1,20 @@ +[{ + "version": 2, + "imageType": "SERVING", + "processor": "CPU", + "mlPackageLanguage": "PYTHON36_CV", + "languageGroup": "CV", + "baseImage": "python36cv:v21.8.1-2", + "runtimeImage": "", + "displayName": "Python 36 CV" +}, +{ + "version": 2, + "imageType": "SERVING", + "processor": "GPU", + "mlPackageLanguage": "PYTHON36_CV", + "languageGroup": "CV", + "baseImage": "python36cv:v21.8.1-2", + "runtimeImage": "", + "displayName": "Python 36 CV" +}] \ No newline at end of file diff --git a/language_version_metadata/Python37_DU__2__metadata.json b/language_version_metadata/Python37_DU__2__metadata.json deleted file mode 100644 index e3ccdcff..00000000 --- a/language_version_metadata/Python37_DU__2__metadata.json +++ /dev/null @@ -1,40 +0,0 @@ -[{ - "version": 2, - "imageType": "SERVING", - "processor": "CPU", - "mlPackageLanguage": "PYTHON37_DU", - "languageGroup": "DU", - "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", - "runtimeImage": "", - "displayName": "Python 37 DU" -}, -{ - "version": 2, - "imageType": "SERVING", - "processor": "GPU", - "mlPackageLanguage": "PYTHON37_DU", - "languageGroup": "DU", - "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", - "runtimeImage": "", - "displayName": "Python 37 DU" -}, -{ - "version": 2, - "imageType": "TRAINING", - "processor": "CPU", - "mlPackageLanguage": "PYTHON37_DU", - "languageGroup": "DU", - "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", - "runtimeImage": "", - "displayName": "Python 37 DU" -}, -{ - "version": 2, - "imageType": "TRAINING", - "processor": "GPU", - "mlPackageLanguage": "PYTHON37_DU", - "languageGroup": "DU", - "baseImage": "uipathmlcontainerregistry.azurecr.io/aifabric_base_image:21.4.0-AIF", - "runtimeImage": "", - "displayName": "Python 37 DU" -}] diff --git a/metadata/ComputerVision__1__metadata.json b/metadata/ComputerVision__2__metadata.json similarity index 78% rename from metadata/ComputerVision__1__metadata.json rename to metadata/ComputerVision__2__metadata.json index b2cc3afc..d11de0c1 100644 --- a/metadata/ComputerVision__1__metadata.json +++ b/metadata/ComputerVision__2__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2020.10", + "changeLog": "Release v2021.2", "cpu": 0, "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -18,9 +18,9 @@ "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 1, - "baseImageCpu": "python36cv:v21.8.1", - "baseImageGpu": "python36cv:v21.8.1-gpu", - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/ComputerVision/1/cv_server.zip" + "languageVersion": 2, + "version": 2, + "baseImageCpu": "python36cv:v21.8.1-2", + "baseImageGpu": "python36cv:v21.8.1-2", + "contentUri": "https:///download/AIC/ComputerVision/2/cv_server.zip" } \ No newline at end of file From 0bf05c9f81a78a5ab4481ae98a39012f9e0d15e5 Mon Sep 17 00:00:00 2001 From: "aakash.kaushik" Date: Thu, 16 Sep 2021 18:08:53 +0530 Subject: [PATCH 091/267] renamed file --- ...Mining__1__metadata.json => TMAnalyzerModel__1__metadata.json} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename metadata/{TaskMining__1__metadata.json => TMAnalyzerModel__1__metadata.json} (100%) diff --git a/metadata/TaskMining__1__metadata.json b/metadata/TMAnalyzerModel__1__metadata.json similarity index 100% rename from metadata/TaskMining__1__metadata.json rename to metadata/TMAnalyzerModel__1__metadata.json From bb966c832ac492e3baf2dbdac131b45882ad7148 Mon Sep 17 00:00:00 2001 From: "aakash.kaushik" Date: Wed, 22 Sep 2021 23:34:35 +0530 Subject: [PATCH 092/267] updated version to 1.0.21 --- metadata/TMAnalyzerModel__1__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/TMAnalyzerModel__1__metadata.json b/metadata/TMAnalyzerModel__1__metadata.json index 23ab4526..0af7c9dc 100644 --- a/metadata/TMAnalyzerModel__1__metadata.json +++ b/metadata/TMAnalyzerModel__1__metadata.json @@ -6,7 +6,7 @@ "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", - "changeLog": "Model: 1.0.20", + "changeLog": "Model: 1.0.21", "cpu": 0, "inputType": "JSON", "displayName": "TMAnalyzerModel", From 12db0bd080e657db5ebbb7d92a539cc2bf80e6d9 Mon Sep 17 00:00:00 2001 From: Vivek Jha Date: Mon, 4 Oct 2021 14:30:12 +0530 Subject: [PATCH 093/267] minor changes --- language_version_metadata/Python36_CV__2__metadata.json | 4 ++-- metadata/AustralianInvoices__7__metadata.json | 4 +--- metadata/ComputerVision__2__metadata.json | 2 -- metadata/DocumentClassifier__3__metadata.json | 4 +--- metadata/DocumentUnderstanding__8__metadata.json | 4 +--- metadata/EnglishTextClassification__2__metadata.json | 2 +- metadata/IDCards__1__metadata.json | 4 +--- metadata/IndianInvoices__7__metadata.json | 4 +--- metadata/IntelligentKeywordClassifier__1__metadata.json | 2 +- metadata/Invoices__8__metadata.json | 4 +--- metadata/JapaneseInvoices__5__metadata.json | 4 +--- metadata/Passports__1__metadata.json | 4 +--- metadata/PurchaseOrders__7__metadata.json | 4 +--- metadata/Receipts__8__metadata.json | 4 +--- metadata/TMAnalyzerModel__1__metadata.json | 2 +- metadata/TPOTAutoMLClassification__1__metadata.json | 2 +- metadata/TextSummarization__1__metadata.json | 2 +- metadata/UiPathDocumentOCR__5__metadata.json | 4 +--- metadata/UtilityBills__7__metadata.json | 4 +--- 19 files changed, 19 insertions(+), 45 deletions(-) diff --git a/language_version_metadata/Python36_CV__2__metadata.json b/language_version_metadata/Python36_CV__2__metadata.json index f1148487..0d85b529 100644 --- a/language_version_metadata/Python36_CV__2__metadata.json +++ b/language_version_metadata/Python36_CV__2__metadata.json @@ -4,7 +4,7 @@ "processor": "CPU", "mlPackageLanguage": "PYTHON36_CV", "languageGroup": "CV", - "baseImage": "python36cv:v21.8.1-2", + "baseImage": "python36cv:v21.10.0-2", "runtimeImage": "", "displayName": "Python 36 CV" }, @@ -14,7 +14,7 @@ "processor": "GPU", "mlPackageLanguage": "PYTHON36_CV", "languageGroup": "CV", - "baseImage": "python36cv:v21.8.1-2", + "baseImage": "python36cv:v21.10.0-2", "runtimeImage": "", "displayName": "Python 36 CV" }] \ No newline at end of file diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json index e6e803d5..1fc00ab5 100644 --- a/metadata/AustralianInvoices__7__metadata.json +++ b/metadata/AustralianInvoices__7__metadata.json @@ -20,7 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 7, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/AustralianInvoices/7/invoices_au_package.zip" + "contentUri": "https:///download/AIC/AustralianInvoices/7/invoices_au_package.zip" } diff --git a/metadata/ComputerVision__2__metadata.json b/metadata/ComputerVision__2__metadata.json index d11de0c1..f9ddc298 100644 --- a/metadata/ComputerVision__2__metadata.json +++ b/metadata/ComputerVision__2__metadata.json @@ -20,7 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 2, - "baseImageCpu": "python36cv:v21.8.1-2", - "baseImageGpu": "python36cv:v21.8.1-2", "contentUri": "https:///download/AIC/ComputerVision/2/cv_server.zip" } \ No newline at end of file diff --git a/metadata/DocumentClassifier__3__metadata.json b/metadata/DocumentClassifier__3__metadata.json index 0cc3ea35..686113c7 100644 --- a/metadata/DocumentClassifier__3__metadata.json +++ b/metadata/DocumentClassifier__3__metadata.json @@ -20,7 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 3, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentClassifier/3/document_type_text_classifier_package.zip" + "contentUri": "https:///download/AIC/DocumentClassifier/3/document_type_text_classifier_package.zip" } diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json index fac01118..d282eca5 100644 --- a/metadata/DocumentUnderstanding__8__metadata.json +++ b/metadata/DocumentUnderstanding__8__metadata.json @@ -19,8 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 8, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/DocumentUnderstanding/8/du_package.zip" + "contentUri": "https:///download/AIC/DocumentUnderstanding/8/du_package.zip" } diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json index b67e3526..6639f49b 100644 --- a/metadata/EnglishTextClassification__2__metadata.json +++ b/metadata/EnglishTextClassification__2__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 2, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/EnglishTextClassification/2/EnglishTextClassificationAG.zip" + "contentUri": "https:///download/AIC/EnglishTextClassification/2/EnglishTextClassificationAG.zip" } diff --git a/metadata/IDCards__1__metadata.json b/metadata/IDCards__1__metadata.json index e8783b63..0b652013 100644 --- a/metadata/IDCards__1__metadata.json +++ b/metadata/IDCards__1__metadata.json @@ -20,7 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 1, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IDCards/1/id_cards_package.zip" + "contentUri": "https:///download/AIC/IDCards/1/id_cards_package.zip" } diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json index cd5ec79a..a7bebedf 100644 --- a/metadata/IndianInvoices__7__metadata.json +++ b/metadata/IndianInvoices__7__metadata.json @@ -20,7 +20,5 @@ "minAIFabricVersion": "v20.10.1.2", "languageVersion": 2, "version": 7, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IndianInvoices/7/invoices_india_package.zip" + "contentUri": "https:///download/AIC/IndianInvoices/7/invoices_india_package.zip" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index 0f599458..27967223 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21.7-18-main.4a0e8c.zip" + "contentUri": "https:///download/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21.7-18-main.4a0e8c.zip" } diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json index 5bc1984f..00fd34a8 100644 --- a/metadata/Invoices__8__metadata.json +++ b/metadata/Invoices__8__metadata.json @@ -20,7 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 8, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Invoices/8/invoices_package.zip" + "contentUri": "https:///download/AIC/Invoices/8/invoices_package.zip" } diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json index 7c8b07c3..2f244163 100644 --- a/metadata/JapaneseInvoices__5__metadata.json +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -20,7 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 5, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/JapaneseInvoices/5/invoices_japan_package.zip" + "contentUri": "https:///download/AIC/JapaneseInvoices/5/invoices_japan_package.zip" } diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json index c3162333..5fb5422e 100644 --- a/metadata/Passports__1__metadata.json +++ b/metadata/Passports__1__metadata.json @@ -19,8 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Passports/1/passports_package.zip" + "contentUri": "https:///download/AIC/Passports/1/passports_package.zip" } diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json index 6da874bf..d1b1f22e 100644 --- a/metadata/PurchaseOrders__7__metadata.json +++ b/metadata/PurchaseOrders__7__metadata.json @@ -19,8 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 7, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/PurchaseOrders/7/purchase_orders_package.zip" + "contentUri": "https:///download/AIC/PurchaseOrders/7/purchase_orders_package.zip" } diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json index f4488342..56258e04 100644 --- a/metadata/Receipts__8__metadata.json +++ b/metadata/Receipts__8__metadata.json @@ -19,8 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 8, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/Receipts/8/receipts_package.zip" + "contentUri": "https:///download/AIC/Receipts/8/receipts_package.zip" } diff --git a/metadata/TMAnalyzerModel__1__metadata.json b/metadata/TMAnalyzerModel__1__metadata.json index 0af7c9dc..65bffddf 100644 --- a/metadata/TMAnalyzerModel__1__metadata.json +++ b/metadata/TMAnalyzerModel__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TaskMining/1/task_mining.zip" + "contentUri": "https:///download/AIC/TaskMining/1/task_mining.zip" } \ No newline at end of file diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index d571b83a..393f7c0c 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TPOTAutoMLClassification/1/TPOTAutoMLClassification.zip" + "contentUri": "https:///download/AIC/TPOTAutoMLClassification/1/TPOTAutoMLClassification.zip" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index c0f71b51..6878a6e6 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/TextSummarization/1/Model.zip" + "contentUri": "https:///download/AIC/TextSummarization/1/Model.zip" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__5__metadata.json b/metadata/UiPathDocumentOCR__5__metadata.json index 53f47c97..bac7ddfb 100644 --- a/metadata/UiPathDocumentOCR__5__metadata.json +++ b/metadata/UiPathDocumentOCR__5__metadata.json @@ -19,8 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 5, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UiPathDocumentOCR/5/ocr_aif_package.zip" + "contentUri": "https:///download/AIC/UiPathDocumentOCR/5/ocr_aif_package.zip" } \ No newline at end of file diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json index 4776c483..6d2201e7 100644 --- a/metadata/UtilityBills__7__metadata.json +++ b/metadata/UtilityBills__7__metadata.json @@ -19,8 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "baseImageCpu": "python37du:v21.8.1-2", - "baseImageGpu": "python37du:v21.8.1-2-gpu", "version": 7, - "contentUri": "https://uipathdownloadstaging.blob.core.windows.net/download/AIC/UtilityBills/7/utility_bills_package.zip" + "contentUri": "https:///download/AIC/UtilityBills/7/utility_bills_package.zip" } From 04c880ad33e4f73efa12ac31723308059fc840e1 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 30 Sep 2021 12:36:27 +0300 Subject: [PATCH 094/267] Add DocOCR metadata for 21.10.1 --- metadata/UiPathDocumentOCR__5__metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/metadata/UiPathDocumentOCR__5__metadata.json b/metadata/UiPathDocumentOCR__5__metadata.json index bac7ddfb..23cb82ab 100644 --- a/metadata/UiPathDocumentOCR__5__metadata.json +++ b/metadata/UiPathDocumentOCR__5__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 21.8.2", + "changeLog": "Model: 21.10.1", "cpu": 0, "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR", @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 5, - "contentUri": "https:///download/AIC/UiPathDocumentOCR/5/ocr_aif_package.zip" + "contentUri": "https:///download/AIC/UiPathDocumentOCR/21.10.1/ocr_aif_package.zip" } \ No newline at end of file From 0ee316d75b34ee781e39b87d6a966ef35afe518c Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Wed, 6 Oct 2021 10:49:46 +0530 Subject: [PATCH 095/267] ml package sanitization script for zip-packaging (#135) --- .../backup_and_restore/packages/sanitize.sh | 72 +++++++++++++++++++ 1 file changed, 72 insertions(+) create mode 100644 platform/onebox/backup_and_restore/packages/sanitize.sh diff --git a/platform/onebox/backup_and_restore/packages/sanitize.sh b/platform/onebox/backup_and_restore/packages/sanitize.sh new file mode 100644 index 00000000..e7bd5ed5 --- /dev/null +++ b/platform/onebox/backup_and_restore/packages/sanitize.sh @@ -0,0 +1,72 @@ +#!/bin/bash + +: ' +This scipt will sanitize model zips to make them usable with new wrapper codes +# $1 - ml-package-folder to scan and update in place +[Script Version -> 21.10] +' + +red=$(tput setaf 1) +green=$(tput setaf 2) +yellow=$(tput setaf 3) +default=$(tput sgr0) + +readonly BASE_PATH=$1 + +echo "$green $(date) Starting mlpackage zip updates... $default" + +if [ ! -d "$1" ]; then + echo "$red $(date) $1 dir does not exist, Please check ... Exiting $default" + exit 1 +fi + + +# Validate dependency module +# $1 - Name of the dependency module +# $2 - Command to validate module +function validate_dependency() { + eval $2 + # Next statement is checking last command success aws --version has some issue + if [ $? -ne 0 ]; then + echo "$red $(date) Please install ******** $1 *********** ... Exiting $default" + exit 1 + fi +} + +# Validate required modules exits in target setup +function validate_setup() { + validate_dependency "zip" "zip -v" + echo "$(date) Successfully validated required dependencies" +} + +function process_file() { + echo "$green $(date) Processing file $1... $default" + fullFileName=${1##*/} + onlyFileName=${fullFileName%.*} + zip -d $1 "$onlyFileName/uipath_wrapper_config.json" || true + zip -d $1 "$onlyFileName/uipath_core.tar.gz" || true +} + +function process_files() { + cd $BASE_PATH + while read file; do + process_file ${file} + done <<<"$FILES" + cd - +} + +function list_files() { + cd $BASE_PATH + files=$(find . -type f) + readonly FILES=${files} + cd - +} + +# Validate Setup +validate_setup + +# List Buckets +list_files + +# Process data inside buckets +process_files \ No newline at end of file From 42cc6e156b863a3b3cd0eddbfd2403765c1643d6 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Wed, 6 Oct 2021 09:40:05 +0300 Subject: [PATCH 096/267] Increase OCR version --- ...CR__5__metadata.json => UiPathDocumentOCR__6__metadata.json} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename metadata/{UiPathDocumentOCR__5__metadata.json => UiPathDocumentOCR__6__metadata.json} (99%) diff --git a/metadata/UiPathDocumentOCR__5__metadata.json b/metadata/UiPathDocumentOCR__6__metadata.json similarity index 99% rename from metadata/UiPathDocumentOCR__5__metadata.json rename to metadata/UiPathDocumentOCR__6__metadata.json index 23cb82ab..ec089ff6 100644 --- a/metadata/UiPathDocumentOCR__5__metadata.json +++ b/metadata/UiPathDocumentOCR__6__metadata.json @@ -19,6 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v21.10", "languageVersion": 2, - "version": 5, + "version": 6, "contentUri": "https:///download/AIC/UiPathDocumentOCR/21.10.1/ocr_aif_package.zip" } \ No newline at end of file From 0dea0baabf7a995fba8654d469cf9783722193b2 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 9 Nov 2021 19:15:42 +0200 Subject: [PATCH 097/267] Add fe, ife, hwocr --- metadata/FormExtractor__1__metadata.json | 24 +++++++++++++++++++ .../HandwritingRecognition__2__metadata.json | 24 +++++++++++++++++++ ...IntelligentFormExtractor__1__metadata.json | 24 +++++++++++++++++++ 3 files changed, 72 insertions(+) create mode 100644 metadata/FormExtractor__1__metadata.json create mode 100644 metadata/HandwritingRecognition__2__metadata.json create mode 100644 metadata/IntelligentFormExtractor__1__metadata.json diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json new file mode 100644 index 00000000..a6f72da8 --- /dev/null +++ b/metadata/FormExtractor__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Release v2020.8", + "cpu": 0, + "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", + "displayName": "FormExtractor", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "FormExtractor", + "outputDescription": "Please refer to the documentation of the Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 0, + "version": 1, + "imagePath": "https:///download/AIC/FormExtractor/1/FE-du-svc-v21.7-18-main.4a0e8c.zip" +} diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json new file mode 100644 index 00000000..944f0130 --- /dev/null +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Release v2021.04", + "cpu": 0, + "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "displayName": "HandwritingRecognition", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "HandwritingRecognition", + "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 0, + "version": 2, + "imagePath": "https:///download/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" +} diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json new file mode 100644 index 00000000..7e3a84da --- /dev/null +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Release v2020.8", + "cpu": 0, + "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "displayName": "IntelligentFormExtractor", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IntelligentFormExtractor", + "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 0, + "version": 1, + "imagePath": "https:///download/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21.7-18-main.4a0e8c.zip" +} From 82e1e7e39426c14be1b8f6f5b0a00c560c98e21a Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 28 Oct 2021 14:47:05 +0300 Subject: [PATCH 098/267] Change doc ocr uri --- metadata/UiPathDocumentOCR__6__metadata.json | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/metadata/UiPathDocumentOCR__6__metadata.json b/metadata/UiPathDocumentOCR__6__metadata.json index ec089ff6..f8d7896d 100644 --- a/metadata/UiPathDocumentOCR__6__metadata.json +++ b/metadata/UiPathDocumentOCR__6__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 21.10.1", + "changeLog": "Model: 21.10.3", "cpu": 0, "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR", @@ -11,7 +11,7 @@ "name": "UiPathDocumentOCR", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "processorType": "GPU", - "projectId": "[project-id]", + "projectId": "[project-id]", "retrainable": false, "stagingUri": "[staging-uri]", "projectName": "UiPath Document Understanding", @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 6, - "contentUri": "https:///download/AIC/UiPathDocumentOCR/21.10.1/ocr_aif_package.zip" -} \ No newline at end of file + "contentUri": "https:///download/AIC/UiPathDocumentOCR/21.10.3.1/ocr_aif_package.zip" +} From dae9a982cba7b0cf294122888fa322cc7d9ca0ed Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Wed, 3 Nov 2021 15:52:32 +0200 Subject: [PATCH 099/267] Add metadata for 21.10.10 models --- metadata/AustralianInvoices__8__metadata.json | 24 +++++++++++++++++++ metadata/DeliveryNotes__1__metadata.json | 24 +++++++++++++++++++ metadata/DocumentClassifier__4__metadata.json | 24 +++++++++++++++++++ .../DocumentUnderstanding__9__metadata.json | 24 +++++++++++++++++++ metadata/IDCards__2__metadata.json | 24 +++++++++++++++++++ metadata/IndianInvoices__8__metadata.json | 24 +++++++++++++++++++ metadata/InvoicesChina__1__metadata.json | 24 +++++++++++++++++++ metadata/Invoices__9__metadata.json | 24 +++++++++++++++++++ metadata/JapaneseInvoices__6__metadata.json | 24 +++++++++++++++++++ metadata/Passports__2__metadata.json | 24 +++++++++++++++++++ metadata/PurchaseOrders__8__metadata.json | 24 +++++++++++++++++++ metadata/Receipts__9__metadata.json | 24 +++++++++++++++++++ metadata/RemittanceAdvices__1__metadata.json | 24 +++++++++++++++++++ metadata/UtilityBills__8__metadata.json | 24 +++++++++++++++++++ metadata/W2__1__metadata.json | 24 +++++++++++++++++++ metadata/W9__1__metadata.json | 24 +++++++++++++++++++ 16 files changed, 384 insertions(+) create mode 100644 metadata/AustralianInvoices__8__metadata.json create mode 100644 metadata/DeliveryNotes__1__metadata.json create mode 100644 metadata/DocumentClassifier__4__metadata.json create mode 100644 metadata/DocumentUnderstanding__9__metadata.json create mode 100644 metadata/IDCards__2__metadata.json create mode 100644 metadata/IndianInvoices__8__metadata.json create mode 100644 metadata/InvoicesChina__1__metadata.json create mode 100644 metadata/Invoices__9__metadata.json create mode 100644 metadata/JapaneseInvoices__6__metadata.json create mode 100644 metadata/Passports__2__metadata.json create mode 100644 metadata/PurchaseOrders__8__metadata.json create mode 100644 metadata/Receipts__9__metadata.json create mode 100644 metadata/RemittanceAdvices__1__metadata.json create mode 100644 metadata/UtilityBills__8__metadata.json create mode 100644 metadata/W2__1__metadata.json create mode 100644 metadata/W9__1__metadata.json diff --git a/metadata/AustralianInvoices__8__metadata.json b/metadata/AustralianInvoices__8__metadata.json new file mode 100644 index 00000000..0213dc27 --- /dev/null +++ b/metadata/AustralianInvoices__8__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 8, + "contentUri": "https:///download/AIC/AustralianInvoices/21.10.10/invoices_au_package.zip" +} diff --git a/metadata/DeliveryNotes__1__metadata.json b/metadata/DeliveryNotes__1__metadata.json new file mode 100644 index 00000000..3c50b94f --- /dev/null +++ b/metadata/DeliveryNotes__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "DeliveryNotes", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "DeliveryNotes", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///download/AIC/DeliveryNotes/21.10.10/delivery_notes_package.zip" +} diff --git a/metadata/DocumentClassifier__4__metadata.json b/metadata/DocumentClassifier__4__metadata.json new file mode 100644 index 00000000..05d3bd0a --- /dev/null +++ b/metadata/DocumentClassifier__4__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 21.10.10", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 4, + "contentUri": "https:///download/AIC/DocumentClassifier/21.10.10/document_type_text_classifier_package.zip" +} diff --git a/metadata/DocumentUnderstanding__9__metadata.json b/metadata/DocumentUnderstanding__9__metadata.json new file mode 100644 index 00000000..bd046b65 --- /dev/null +++ b/metadata/DocumentUnderstanding__9__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 9, + "contentUri": "https:///download/AIC/DocumentUnderstanding/21.10.10/du_package.zip" +} diff --git a/metadata/IDCards__2__metadata.json b/metadata/IDCards__2__metadata.json new file mode 100644 index 00000000..e3548828 --- /dev/null +++ b/metadata/IDCards__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 21.10.10", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 1, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 2, + "contentUri": "https:///download/AIC/IDCards/21.10.10/id_cards_package.zip" +} diff --git a/metadata/IndianInvoices__8__metadata.json b/metadata/IndianInvoices__8__metadata.json new file mode 100644 index 00000000..59dd8388 --- /dev/null +++ b/metadata/IndianInvoices__8__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v20.10.1.2", + "languageVersion": 3, + "version": 8, + "contentUri": "https:///download/AIC/IndianInvoices/21.10.10/invoices_india_package.zip" +} diff --git a/metadata/InvoicesChina__1__metadata.json b/metadata/InvoicesChina__1__metadata.json new file mode 100644 index 00000000..19287701 --- /dev/null +++ b/metadata/InvoicesChina__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///download/AIC/InvoicesChina/21.10.10/invoices_china_package.zip" +} diff --git a/metadata/Invoices__9__metadata.json b/metadata/Invoices__9__metadata.json new file mode 100644 index 00000000..0531cdcc --- /dev/null +++ b/metadata/Invoices__9__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 9, + "contentUri": "https:///download/AIC/Invoices/21.10.10/invoices_package.zip" +} diff --git a/metadata/JapaneseInvoices__6__metadata.json b/metadata/JapaneseInvoices__6__metadata.json new file mode 100644 index 00000000..d45a7118 --- /dev/null +++ b/metadata/JapaneseInvoices__6__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 6, + "contentUri": "https:///download/AIC/JapaneseInvoices/21.10.10/invoices_japan_package.zip" +} diff --git a/metadata/Passports__2__metadata.json b/metadata/Passports__2__metadata.json new file mode 100644 index 00000000..65d9d91c --- /dev/null +++ b/metadata/Passports__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 21.10.10", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 1, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 2, + "contentUri": "https:///download/AIC/Passports/21.10.10/passports_package.zip" +} diff --git a/metadata/PurchaseOrders__8__metadata.json b/metadata/PurchaseOrders__8__metadata.json new file mode 100644 index 00000000..6131edc3 --- /dev/null +++ b/metadata/PurchaseOrders__8__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 8, + "contentUri": "https:///download/AIC/PurchaseOrders/21.10.10/purchase_orders_package.zip" +} diff --git a/metadata/Receipts__9__metadata.json b/metadata/Receipts__9__metadata.json new file mode 100644 index 00000000..1acdc94e --- /dev/null +++ b/metadata/Receipts__9__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 9, + "contentUri": "https:///download/AIC/Receipts/21.10.10/receipts_package.zip" +} diff --git a/metadata/RemittanceAdvices__1__metadata.json b/metadata/RemittanceAdvices__1__metadata.json new file mode 100644 index 00000000..3a9195b8 --- /dev/null +++ b/metadata/RemittanceAdvices__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///download/AIC/RemittanceAdvices/21.10.10/remittance_advices_package.zip" +} diff --git a/metadata/UtilityBills__8__metadata.json b/metadata/UtilityBills__8__metadata.json new file mode 100644 index 00000000..8c2f9ff4 --- /dev/null +++ b/metadata/UtilityBills__8__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 8, + "contentUri": "https:///download/AIC/UtilityBills/21.10.10/utility_bills_package.zip" +} diff --git a/metadata/W2__1__metadata.json b/metadata/W2__1__metadata.json new file mode 100644 index 00000000..dc5eb547 --- /dev/null +++ b/metadata/W2__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///download/AIC/W2/21.10.10/w2_package.zip" +} diff --git a/metadata/W9__1__metadata.json b/metadata/W9__1__metadata.json new file mode 100644 index 00000000..c3e0aafa --- /dev/null +++ b/metadata/W9__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 21.10.10", + "cpu": 0, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///download/AIC/W9/21.10.10/w9_package.zip" +} From 290f71f06ef996ca3293843da59324f10c89638e Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 11 Nov 2021 09:35:57 +0200 Subject: [PATCH 100/267] Change LV to 2 --- metadata/FormExtractor__1__metadata.json | 6 +++--- metadata/HandwritingRecognition__2__metadata.json | 6 +++--- metadata/IntelligentFormExtractor__1__metadata.json | 6 +++--- metadata/IntelligentKeywordClassifier__1__metadata.json | 4 ++-- 4 files changed, 11 insertions(+), 11 deletions(-) diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index a6f72da8..32bc440f 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -11,14 +11,14 @@ "name": "FormExtractor", "outputDescription": "Please refer to the documentation of the Form Extractor Activity.", "processorType": "CPU", - "projectId": "[project-id]", + "projectId": "[project-id]", "retrainable": false, "stagingUri": "[staging-uri]", "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 0, + "languageVersion": 2, "version": 1, - "imagePath": "https:///download/AIC/FormExtractor/1/FE-du-svc-v21.7-18-main.4a0e8c.zip" + "contentUri": "https:///download/AIC/FormExtractor/1/FE-du-svc-v21-7-18-main-4a0e8c.zip" } diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json index 944f0130..796b623f 100644 --- a/metadata/HandwritingRecognition__2__metadata.json +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -11,14 +11,14 @@ "name": "HandwritingRecognition", "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", "processorType": "CPU", - "projectId": "[project-id]", + "projectId": "[project-id]", "retrainable": false, "stagingUri": "[staging-uri]", "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 0, + "languageVersion": 2, "version": 2, - "imagePath": "https:///download/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" + "contentUri": "https:///download/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index 7e3a84da..e9e944a3 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -11,14 +11,14 @@ "name": "IntelligentFormExtractor", "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", "processorType": "CPU", - "projectId": "[project-id]", + "projectId": "[project-id]", "retrainable": false, "stagingUri": "[staging-uri]", "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 0, + "languageVersion": 2, "version": 1, - "imagePath": "https:///download/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21.7-18-main.4a0e8c.zip" + "contentUri": "https:///download/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21-7-18-main-4a0e8c.zip" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index 27967223..b0877d80 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -18,7 +18,7 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 0, + "languageVersion": 2, "version": 1, - "contentUri": "https:///download/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21.7-18-main.4a0e8c.zip" + "contentUri": "https:///download/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21-7-18-main-4a0e8c.zip" } From 3e320ceb6667d3646dd04a677d3c56cbe963a900 Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Tue, 23 Nov 2021 17:55:52 +0530 Subject: [PATCH 101/267] move to publicmodels (#159) --- metadata/AustralianInvoices__7__metadata.json | 2 +- metadata/AustralianInvoices__8__metadata.json | 2 +- metadata/ComputerVision__2__metadata.json | 2 +- metadata/DeliveryNotes__1__metadata.json | 2 +- metadata/DocumentClassifier__3__metadata.json | 2 +- metadata/DocumentClassifier__4__metadata.json | 2 +- metadata/DocumentUnderstanding__8__metadata.json | 2 +- metadata/DocumentUnderstanding__9__metadata.json | 2 +- metadata/EnglishTextClassification__2__metadata.json | 2 +- metadata/FormExtractor__1__metadata.json | 2 +- metadata/HandwritingRecognition__2__metadata.json | 2 +- metadata/IDCards__1__metadata.json | 2 +- metadata/IDCards__2__metadata.json | 2 +- metadata/IndianInvoices__7__metadata.json | 2 +- metadata/IndianInvoices__8__metadata.json | 2 +- metadata/IntelligentFormExtractor__1__metadata.json | 2 +- metadata/IntelligentKeywordClassifier__1__metadata.json | 2 +- metadata/InvoicesChina__1__metadata.json | 2 +- metadata/Invoices__8__metadata.json | 2 +- metadata/Invoices__9__metadata.json | 2 +- metadata/JapaneseInvoices__5__metadata.json | 2 +- metadata/JapaneseInvoices__6__metadata.json | 2 +- metadata/Passports__1__metadata.json | 2 +- metadata/Passports__2__metadata.json | 2 +- metadata/PurchaseOrders__7__metadata.json | 2 +- metadata/PurchaseOrders__8__metadata.json | 2 +- metadata/Receipts__8__metadata.json | 2 +- metadata/Receipts__9__metadata.json | 2 +- metadata/RemittanceAdvices__1__metadata.json | 2 +- metadata/TMAnalyzerModel__1__metadata.json | 2 +- metadata/TPOTAutoMLClassification__1__metadata.json | 2 +- metadata/TextSummarization__1__metadata.json | 2 +- metadata/UiPathDocumentOCR__6__metadata.json | 2 +- metadata/UtilityBills__7__metadata.json | 2 +- metadata/UtilityBills__8__metadata.json | 2 +- metadata/W2__1__metadata.json | 2 +- metadata/W9__1__metadata.json | 2 +- 37 files changed, 37 insertions(+), 37 deletions(-) diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json index 1fc00ab5..202eaa8d 100644 --- a/metadata/AustralianInvoices__7__metadata.json +++ b/metadata/AustralianInvoices__7__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 7, - "contentUri": "https:///download/AIC/AustralianInvoices/7/invoices_au_package.zip" + "contentUri": "https:///publicmodels/AIC/AustralianInvoices/7/invoices_au_package.zip" } diff --git a/metadata/AustralianInvoices__8__metadata.json b/metadata/AustralianInvoices__8__metadata.json index 0213dc27..179505be 100644 --- a/metadata/AustralianInvoices__8__metadata.json +++ b/metadata/AustralianInvoices__8__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 8, - "contentUri": "https:///download/AIC/AustralianInvoices/21.10.10/invoices_au_package.zip" + "contentUri": "https:///publicmodels/AIC/AustralianInvoices/21.10.10/invoices_au_package.zip" } diff --git a/metadata/ComputerVision__2__metadata.json b/metadata/ComputerVision__2__metadata.json index f9ddc298..06093c50 100644 --- a/metadata/ComputerVision__2__metadata.json +++ b/metadata/ComputerVision__2__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 2, - "contentUri": "https:///download/AIC/ComputerVision/2/cv_server.zip" + "contentUri": "https:///publicmodels/AIC/ComputerVision/2/cv_server.zip" } \ No newline at end of file diff --git a/metadata/DeliveryNotes__1__metadata.json b/metadata/DeliveryNotes__1__metadata.json index 3c50b94f..9c43cd0d 100644 --- a/metadata/DeliveryNotes__1__metadata.json +++ b/metadata/DeliveryNotes__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 1, - "contentUri": "https:///download/AIC/DeliveryNotes/21.10.10/delivery_notes_package.zip" + "contentUri": "https:///publicmodels/AIC/DeliveryNotes/21.10.10/delivery_notes_package.zip" } diff --git a/metadata/DocumentClassifier__3__metadata.json b/metadata/DocumentClassifier__3__metadata.json index 686113c7..d5659629 100644 --- a/metadata/DocumentClassifier__3__metadata.json +++ b/metadata/DocumentClassifier__3__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 3, - "contentUri": "https:///download/AIC/DocumentClassifier/3/document_type_text_classifier_package.zip" + "contentUri": "https:///publicmodels/AIC/DocumentClassifier/3/document_type_text_classifier_package.zip" } diff --git a/metadata/DocumentClassifier__4__metadata.json b/metadata/DocumentClassifier__4__metadata.json index 05d3bd0a..e4e729c4 100644 --- a/metadata/DocumentClassifier__4__metadata.json +++ b/metadata/DocumentClassifier__4__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 4, - "contentUri": "https:///download/AIC/DocumentClassifier/21.10.10/document_type_text_classifier_package.zip" + "contentUri": "https:///publicmodels/AIC/DocumentClassifier/21.10.10/document_type_text_classifier_package.zip" } diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json index d282eca5..94f05e1e 100644 --- a/metadata/DocumentUnderstanding__8__metadata.json +++ b/metadata/DocumentUnderstanding__8__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 8, - "contentUri": "https:///download/AIC/DocumentUnderstanding/8/du_package.zip" + "contentUri": "https:///publicmodels/AIC/DocumentUnderstanding/8/du_package.zip" } diff --git a/metadata/DocumentUnderstanding__9__metadata.json b/metadata/DocumentUnderstanding__9__metadata.json index bd046b65..4e9a8fd3 100644 --- a/metadata/DocumentUnderstanding__9__metadata.json +++ b/metadata/DocumentUnderstanding__9__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 9, - "contentUri": "https:///download/AIC/DocumentUnderstanding/21.10.10/du_package.zip" + "contentUri": "https:///publicmodels/AIC/DocumentUnderstanding/21.10.10/du_package.zip" } diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json index 6639f49b..c361dbfa 100644 --- a/metadata/EnglishTextClassification__2__metadata.json +++ b/metadata/EnglishTextClassification__2__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 2, - "contentUri": "https:///download/AIC/EnglishTextClassification/2/EnglishTextClassificationAG.zip" + "contentUri": "https:///publicmodels/AIC/EnglishTextClassification/2/EnglishTextClassificationAG.zip" } diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index 32bc440f..acd16ce4 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 1, - "contentUri": "https:///download/AIC/FormExtractor/1/FE-du-svc-v21-7-18-main-4a0e8c.zip" + "contentUri": "https:///publicmodels/AIC/FormExtractor/1/FE-du-svc-v21-7-18-main-4a0e8c.zip" } diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json index 796b623f..f18c8f79 100644 --- a/metadata/HandwritingRecognition__2__metadata.json +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 2, - "contentUri": "https:///download/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" + "contentUri": "https:///publicmodels/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" } diff --git a/metadata/IDCards__1__metadata.json b/metadata/IDCards__1__metadata.json index 0b652013..7077b96d 100644 --- a/metadata/IDCards__1__metadata.json +++ b/metadata/IDCards__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 1, - "contentUri": "https:///download/AIC/IDCards/1/id_cards_package.zip" + "contentUri": "https:///publicmodels/AIC/IDCards/1/id_cards_package.zip" } diff --git a/metadata/IDCards__2__metadata.json b/metadata/IDCards__2__metadata.json index e3548828..62aaa105 100644 --- a/metadata/IDCards__2__metadata.json +++ b/metadata/IDCards__2__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 2, - "contentUri": "https:///download/AIC/IDCards/21.10.10/id_cards_package.zip" + "contentUri": "https:///publicmodels/AIC/IDCards/21.10.10/id_cards_package.zip" } diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json index a7bebedf..9f8c94da 100644 --- a/metadata/IndianInvoices__7__metadata.json +++ b/metadata/IndianInvoices__7__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v20.10.1.2", "languageVersion": 2, "version": 7, - "contentUri": "https:///download/AIC/IndianInvoices/7/invoices_india_package.zip" + "contentUri": "https:///publicmodels/AIC/IndianInvoices/7/invoices_india_package.zip" } diff --git a/metadata/IndianInvoices__8__metadata.json b/metadata/IndianInvoices__8__metadata.json index 59dd8388..2ff849f1 100644 --- a/metadata/IndianInvoices__8__metadata.json +++ b/metadata/IndianInvoices__8__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v20.10.1.2", "languageVersion": 3, "version": 8, - "contentUri": "https:///download/AIC/IndianInvoices/21.10.10/invoices_india_package.zip" + "contentUri": "https:///publicmodels/AIC/IndianInvoices/21.10.10/invoices_india_package.zip" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index e9e944a3..47a447b9 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 1, - "contentUri": "https:///download/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21-7-18-main-4a0e8c.zip" + "contentUri": "https:///publicmodels/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21-7-18-main-4a0e8c.zip" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index b0877d80..a685d9ca 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 1, - "contentUri": "https:///download/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21-7-18-main-4a0e8c.zip" + "contentUri": "https:///publicmodels/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21-7-18-main-4a0e8c.zip" } diff --git a/metadata/InvoicesChina__1__metadata.json b/metadata/InvoicesChina__1__metadata.json index 19287701..1c0670e5 100644 --- a/metadata/InvoicesChina__1__metadata.json +++ b/metadata/InvoicesChina__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 1, - "contentUri": "https:///download/AIC/InvoicesChina/21.10.10/invoices_china_package.zip" + "contentUri": "https:///publicmodels/AIC/InvoicesChina/21.10.10/invoices_china_package.zip" } diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json index 00fd34a8..8bb30a91 100644 --- a/metadata/Invoices__8__metadata.json +++ b/metadata/Invoices__8__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 8, - "contentUri": "https:///download/AIC/Invoices/8/invoices_package.zip" + "contentUri": "https:///publicmodels/AIC/Invoices/8/invoices_package.zip" } diff --git a/metadata/Invoices__9__metadata.json b/metadata/Invoices__9__metadata.json index 0531cdcc..bdb9d7b5 100644 --- a/metadata/Invoices__9__metadata.json +++ b/metadata/Invoices__9__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 9, - "contentUri": "https:///download/AIC/Invoices/21.10.10/invoices_package.zip" + "contentUri": "https:///publicmodels/AIC/Invoices/21.10.10/invoices_package.zip" } diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json index 2f244163..a96ee7b7 100644 --- a/metadata/JapaneseInvoices__5__metadata.json +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 5, - "contentUri": "https:///download/AIC/JapaneseInvoices/5/invoices_japan_package.zip" + "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/5/invoices_japan_package.zip" } diff --git a/metadata/JapaneseInvoices__6__metadata.json b/metadata/JapaneseInvoices__6__metadata.json index d45a7118..cb4478ff 100644 --- a/metadata/JapaneseInvoices__6__metadata.json +++ b/metadata/JapaneseInvoices__6__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 6, - "contentUri": "https:///download/AIC/JapaneseInvoices/21.10.10/invoices_japan_package.zip" + "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/21.10.10/invoices_japan_package.zip" } diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json index 5fb5422e..145a4532 100644 --- a/metadata/Passports__1__metadata.json +++ b/metadata/Passports__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 1, - "contentUri": "https:///download/AIC/Passports/1/passports_package.zip" + "contentUri": "https:///publicmodels/AIC/Passports/1/passports_package.zip" } diff --git a/metadata/Passports__2__metadata.json b/metadata/Passports__2__metadata.json index 65d9d91c..43dedef7 100644 --- a/metadata/Passports__2__metadata.json +++ b/metadata/Passports__2__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 2, - "contentUri": "https:///download/AIC/Passports/21.10.10/passports_package.zip" + "contentUri": "https:///publicmodels/AIC/Passports/21.10.10/passports_package.zip" } diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json index d1b1f22e..41943a25 100644 --- a/metadata/PurchaseOrders__7__metadata.json +++ b/metadata/PurchaseOrders__7__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 7, - "contentUri": "https:///download/AIC/PurchaseOrders/7/purchase_orders_package.zip" + "contentUri": "https:///publicmodels/AIC/PurchaseOrders/7/purchase_orders_package.zip" } diff --git a/metadata/PurchaseOrders__8__metadata.json b/metadata/PurchaseOrders__8__metadata.json index 6131edc3..c1ca1ab9 100644 --- a/metadata/PurchaseOrders__8__metadata.json +++ b/metadata/PurchaseOrders__8__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 8, - "contentUri": "https:///download/AIC/PurchaseOrders/21.10.10/purchase_orders_package.zip" + "contentUri": "https:///publicmodels/AIC/PurchaseOrders/21.10.10/purchase_orders_package.zip" } diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json index 56258e04..24381219 100644 --- a/metadata/Receipts__8__metadata.json +++ b/metadata/Receipts__8__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 8, - "contentUri": "https:///download/AIC/Receipts/8/receipts_package.zip" + "contentUri": "https:///publicmodels/AIC/Receipts/8/receipts_package.zip" } diff --git a/metadata/Receipts__9__metadata.json b/metadata/Receipts__9__metadata.json index 1acdc94e..4fc315e7 100644 --- a/metadata/Receipts__9__metadata.json +++ b/metadata/Receipts__9__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 9, - "contentUri": "https:///download/AIC/Receipts/21.10.10/receipts_package.zip" + "contentUri": "https:///publicmodels/AIC/Receipts/21.10.10/receipts_package.zip" } diff --git a/metadata/RemittanceAdvices__1__metadata.json b/metadata/RemittanceAdvices__1__metadata.json index 3a9195b8..adf3a2a6 100644 --- a/metadata/RemittanceAdvices__1__metadata.json +++ b/metadata/RemittanceAdvices__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 1, - "contentUri": "https:///download/AIC/RemittanceAdvices/21.10.10/remittance_advices_package.zip" + "contentUri": "https:///publicmodels/AIC/RemittanceAdvices/21.10.10/remittance_advices_package.zip" } diff --git a/metadata/TMAnalyzerModel__1__metadata.json b/metadata/TMAnalyzerModel__1__metadata.json index 65bffddf..3a7cb778 100644 --- a/metadata/TMAnalyzerModel__1__metadata.json +++ b/metadata/TMAnalyzerModel__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, - "contentUri": "https:///download/AIC/TaskMining/1/task_mining.zip" + "contentUri": "https:///publicmodels/AIC/TaskMining/1/task_mining.zip" } \ No newline at end of file diff --git a/metadata/TPOTAutoMLClassification__1__metadata.json b/metadata/TPOTAutoMLClassification__1__metadata.json index 393f7c0c..2927d5c3 100644 --- a/metadata/TPOTAutoMLClassification__1__metadata.json +++ b/metadata/TPOTAutoMLClassification__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, - "contentUri": "https:///download/AIC/TPOTAutoMLClassification/1/TPOTAutoMLClassification.zip" + "contentUri": "https:///publicmodels/AIC/TPOTAutoMLClassification/1/TPOTAutoMLClassification.zip" } \ No newline at end of file diff --git a/metadata/TextSummarization__1__metadata.json b/metadata/TextSummarization__1__metadata.json index 6878a6e6..a8921c7e 100644 --- a/metadata/TextSummarization__1__metadata.json +++ b/metadata/TextSummarization__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 0, "version": 1, - "contentUri": "https:///download/AIC/TextSummarization/1/Model.zip" + "contentUri": "https:///publicmodels/AIC/TextSummarization/1/Model.zip" } \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__6__metadata.json b/metadata/UiPathDocumentOCR__6__metadata.json index f8d7896d..13773b39 100644 --- a/metadata/UiPathDocumentOCR__6__metadata.json +++ b/metadata/UiPathDocumentOCR__6__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 6, - "contentUri": "https:///download/AIC/UiPathDocumentOCR/21.10.3.1/ocr_aif_package.zip" + "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR/21.10.3.1/ocr_aif_package.zip" } diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json index 6d2201e7..93f2e38d 100644 --- a/metadata/UtilityBills__7__metadata.json +++ b/metadata/UtilityBills__7__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 2, "version": 7, - "contentUri": "https:///download/AIC/UtilityBills/7/utility_bills_package.zip" + "contentUri": "https:///publicmodels/AIC/UtilityBills/7/utility_bills_package.zip" } diff --git a/metadata/UtilityBills__8__metadata.json b/metadata/UtilityBills__8__metadata.json index 8c2f9ff4..cd3e1dd1 100644 --- a/metadata/UtilityBills__8__metadata.json +++ b/metadata/UtilityBills__8__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 8, - "contentUri": "https:///download/AIC/UtilityBills/21.10.10/utility_bills_package.zip" + "contentUri": "https:///publicmodels/AIC/UtilityBills/21.10.10/utility_bills_package.zip" } diff --git a/metadata/W2__1__metadata.json b/metadata/W2__1__metadata.json index dc5eb547..c05162ec 100644 --- a/metadata/W2__1__metadata.json +++ b/metadata/W2__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 1, - "contentUri": "https:///download/AIC/W2/21.10.10/w2_package.zip" + "contentUri": "https:///publicmodels/AIC/W2/21.10.10/w2_package.zip" } diff --git a/metadata/W9__1__metadata.json b/metadata/W9__1__metadata.json index c3e0aafa..18cf4ec2 100644 --- a/metadata/W9__1__metadata.json +++ b/metadata/W9__1__metadata.json @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 1, - "contentUri": "https:///download/AIC/W9/21.10.10/w9_package.zip" + "contentUri": "https:///publicmodels/AIC/W9/21.10.10/w9_package.zip" } From a5760e7bca3d88a96758ba58b525965defce0965 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 23 Nov 2021 16:39:23 +0200 Subject: [PATCH 102/267] Use 21.10.11 version of japanese invoices --- metadata/JapaneseInvoices__6__metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/metadata/JapaneseInvoices__6__metadata.json b/metadata/JapaneseInvoices__6__metadata.json index cb4478ff..21dc3f01 100644 --- a/metadata/JapaneseInvoices__6__metadata.json +++ b/metadata/JapaneseInvoices__6__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", + "changeLog": "Model: 21.10.11", "cpu": 0, "inputType": "JSON", "displayName": "JapaneseInvoices", @@ -20,5 +20,5 @@ "minAIFabricVersion": "v21.10", "languageVersion": 3, "version": 6, - "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/21.10.10/invoices_japan_package.zip" + "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/21.10.11/invoices_japan_package.zip" } From 388decab2ccf68466be050262a3c17fe0388bf5d Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Fri, 3 Dec 2021 14:12:27 +0200 Subject: [PATCH 103/267] Set LV 3 for HW-OCR --- metadata/HandwritingRecognition__2__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json index f18c8f79..be781017 100644 --- a/metadata/HandwritingRecognition__2__metadata.json +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -18,7 +18,7 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 2, + "languageVersion": 3, "version": 2, "contentUri": "https:///publicmodels/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" } From 9e4c67652de262e6a26eb09a1542e75b724bc673 Mon Sep 17 00:00:00 2001 From: irinel-birsan-uipath <42834544+irinel-birsan-uipath@users.noreply.github.com> Date: Fri, 3 Dec 2021 20:18:39 +0200 Subject: [PATCH 104/267] Set LV 3 for IFE,FE,IKC (#164) --- metadata/FormExtractor__1__metadata.json | 2 +- metadata/IntelligentFormExtractor__1__metadata.json | 2 +- metadata/IntelligentKeywordClassifier__1__metadata.json | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index acd16ce4..8bca95ea 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -18,7 +18,7 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 2, + "languageVersion": 3, "version": 1, "contentUri": "https:///publicmodels/AIC/FormExtractor/1/FE-du-svc-v21-7-18-main-4a0e8c.zip" } diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index 47a447b9..35b8215c 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -18,7 +18,7 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 2, + "languageVersion": 3, "version": 1, "contentUri": "https:///publicmodels/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21-7-18-main-4a0e8c.zip" } diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index a685d9ca..b20d4ccc 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -18,7 +18,7 @@ "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", "minAIFabricVersion": "v21.10", - "languageVersion": 2, + "languageVersion": 3, "version": 1, "contentUri": "https:///publicmodels/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21-7-18-main-4a0e8c.zip" } From 42d44d9201b6f6a2fc9d01e1ee75392e3b07bcd4 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Mon, 6 Dec 2021 13:37:06 +0200 Subject: [PATCH 105/267] Add new HWOCR,IFE,FE,IKC versions --- metadata/FormExtractor__2__metadata.json | 24 +++++++++++++++++++ .../HandwritingRecognition__3__metadata.json | 24 +++++++++++++++++++ ...IntelligentFormExtractor__2__metadata.json | 24 +++++++++++++++++++ ...lligentKeywordClassifier__2__metadata.json | 24 +++++++++++++++++++ 4 files changed, 96 insertions(+) create mode 100644 metadata/FormExtractor__2__metadata.json create mode 100644 metadata/HandwritingRecognition__3__metadata.json create mode 100644 metadata/IntelligentFormExtractor__2__metadata.json create mode 100644 metadata/IntelligentKeywordClassifier__2__metadata.json diff --git a/metadata/FormExtractor__2__metadata.json b/metadata/FormExtractor__2__metadata.json new file mode 100644 index 00000000..dda68d3b --- /dev/null +++ b/metadata/FormExtractor__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Release v2020.8", + "cpu": 0, + "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", + "displayName": "FormExtractor", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "FormExtractor", + "outputDescription": "Please refer to the documentation of the Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 2, + "contentUri": "https:///publicmodels/AIC/FormExtractor/2/FE-du-svc-v21-7-18-main-4a0e8c.zip" +} diff --git a/metadata/HandwritingRecognition__3__metadata.json b/metadata/HandwritingRecognition__3__metadata.json new file mode 100644 index 00000000..aeb6c61b --- /dev/null +++ b/metadata/HandwritingRecognition__3__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Release v2021.04", + "cpu": 0, + "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "displayName": "HandwritingRecognition", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "HandwritingRecognition", + "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 3, + "contentUri": "https:///publicmodels/AIC/HandwritingRecognition/3/hwocr_aif_package.zip" +} diff --git a/metadata/IntelligentFormExtractor__2__metadata.json b/metadata/IntelligentFormExtractor__2__metadata.json new file mode 100644 index 00000000..2f5f6e6f --- /dev/null +++ b/metadata/IntelligentFormExtractor__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Release v2020.8", + "cpu": 0, + "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "displayName": "IntelligentFormExtractor", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IntelligentFormExtractor", + "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 2, + "contentUri": "https:///publicmodels/AIC/IntelligentFormExtractor/2/IFE-du-svc-v21-7-18-main-4a0e8c.zip" +} diff --git a/metadata/IntelligentKeywordClassifier__2__metadata.json b/metadata/IntelligentKeywordClassifier__2__metadata.json new file mode 100644 index 00000000..1cb26874 --- /dev/null +++ b/metadata/IntelligentKeywordClassifier__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Release v2020.9", + "cpu": 0, + "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", + "displayName": "IntelligentKeywordClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried for the Intelligent Keyword Classifier Activity. To learn how to use the Intelligent Keyword Classifier, visit its documentation: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier .", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IntelligentKeywordClassifier", + "outputDescription": "Please refer to the documentation of the Intelligent Keyword Classifier Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 2, + "contentUri": "https:///publicmodels/AIC/IntelligentKeywordClassifier/2/IKC-du-svc-v21-7-18-main-4a0e8c.zip" +} From 3cd48d212fad6a073ff5f3d3649ff50771e992b1 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 7 Dec 2021 16:40:47 +0200 Subject: [PATCH 106/267] Change ife,fe,ikc,hwocr changelogs --- metadata/FormExtractor__1__metadata.json | 2 +- metadata/FormExtractor__2__metadata.json | 2 +- metadata/HandwritingRecognition__2__metadata.json | 2 +- metadata/HandwritingRecognition__3__metadata.json | 2 +- metadata/IntelligentFormExtractor__1__metadata.json | 2 +- metadata/IntelligentFormExtractor__2__metadata.json | 2 +- metadata/IntelligentKeywordClassifier__1__metadata.json | 2 +- metadata/IntelligentKeywordClassifier__2__metadata.json | 2 +- 8 files changed, 8 insertions(+), 8 deletions(-) diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index 8bca95ea..ca35e3f5 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2020.8", + "changeLog": "v21-7-18", "cpu": 0, "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", "displayName": "FormExtractor", diff --git a/metadata/FormExtractor__2__metadata.json b/metadata/FormExtractor__2__metadata.json index dda68d3b..117d1e21 100644 --- a/metadata/FormExtractor__2__metadata.json +++ b/metadata/FormExtractor__2__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2020.8", + "changeLog": "v21-7-18", "cpu": 0, "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", "displayName": "FormExtractor", diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json index be781017..202fa698 100644 --- a/metadata/HandwritingRecognition__2__metadata.json +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2021.04", + "changeLog": "Model: 21.4.0", "cpu": 0, "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", "displayName": "HandwritingRecognition", diff --git a/metadata/HandwritingRecognition__3__metadata.json b/metadata/HandwritingRecognition__3__metadata.json index aeb6c61b..227896da 100644 --- a/metadata/HandwritingRecognition__3__metadata.json +++ b/metadata/HandwritingRecognition__3__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2021.04", + "changeLog": "Model: 21.4.0", "cpu": 0, "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", "displayName": "HandwritingRecognition", diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json index 35b8215c..1c7d14a5 100644 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2020.8", + "changeLog": "v21-7-18", "cpu": 0, "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", "displayName": "IntelligentFormExtractor", diff --git a/metadata/IntelligentFormExtractor__2__metadata.json b/metadata/IntelligentFormExtractor__2__metadata.json index 2f5f6e6f..9c780665 100644 --- a/metadata/IntelligentFormExtractor__2__metadata.json +++ b/metadata/IntelligentFormExtractor__2__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2020.8", + "changeLog": "v21-7-18", "cpu": 0, "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", "displayName": "IntelligentFormExtractor", diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index b20d4ccc..b86f2b82 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2020.9", + "changeLog": "v21-7-18", "cpu": 0, "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", "displayName": "IntelligentKeywordClassifier", diff --git a/metadata/IntelligentKeywordClassifier__2__metadata.json b/metadata/IntelligentKeywordClassifier__2__metadata.json index 1cb26874..dd887692 100644 --- a/metadata/IntelligentKeywordClassifier__2__metadata.json +++ b/metadata/IntelligentKeywordClassifier__2__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2020.9", + "changeLog": "v21-7-18", "cpu": 0, "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", "displayName": "IntelligentKeywordClassifier", From fe7f6aef1557db546ed01c45211c3848823ad21c Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Wed, 29 Dec 2021 10:36:54 +0530 Subject: [PATCH 107/267] removed raw as per nnj PR#167 (#168) (#170) --- platform/onebox/backup_and_restore/credentials/idputils.sh | 4 ++-- platform/onebox/backup_and_restore/packages/export.sh | 4 ++-- platform/onebox/backup_and_restore/packages/import.sh | 4 ++-- .../onebox/backup_and_restore/sanitization/postrestore.sh | 4 ++-- 4 files changed, 8 insertions(+), 8 deletions(-) diff --git a/platform/onebox/backup_and_restore/credentials/idputils.sh b/platform/onebox/backup_and_restore/credentials/idputils.sh index 3d61f892..3da2aa78 100644 --- a/platform/onebox/backup_and_restore/credentials/idputils.sh +++ b/platform/onebox/backup_and_restore/credentials/idputils.sh @@ -59,7 +59,7 @@ function internal_fetch_identity_server_access_token() { echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" readonly access_token_response=$( - curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + curl -k --silent --fail --show-error -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ -H 'Content-Type: application/x-www-form-urlencoded' \ --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ @@ -102,7 +102,7 @@ function register_client_and_fetch_access_token() { # Register client echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" - client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + client_creation_response=$(curl -k --silent --fail --show-error -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") if [ -z "$client_creation_response" ]; then echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" diff --git a/platform/onebox/backup_and_restore/packages/export.sh b/platform/onebox/backup_and_restore/packages/export.sh index af896abd..8377cb7b 100644 --- a/platform/onebox/backup_and_restore/packages/export.sh +++ b/platform/onebox/backup_and_restore/packages/export.sh @@ -307,7 +307,7 @@ function fetch_identity_server_access_token() { echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" readonly access_token_response=$( - curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + curl -k --silent --fail --show-error -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ -H 'Content-Type: application/x-www-form-urlencoded' \ --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ @@ -349,7 +349,7 @@ function register_client_and_fetch_access_token() { # Register client echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" - client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + client_creation_response=$(curl -k --silent --fail --show-error -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") if [ -z "$client_creation_response" ]; then echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" diff --git a/platform/onebox/backup_and_restore/packages/import.sh b/platform/onebox/backup_and_restore/packages/import.sh index b5e99492..00e2deb8 100644 --- a/platform/onebox/backup_and_restore/packages/import.sh +++ b/platform/onebox/backup_and_restore/packages/import.sh @@ -502,7 +502,7 @@ function fetch_identity_server_access_token() { echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" readonly local access_token_response=$( - curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + curl -k --silent --fail --show-error -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ -H 'Content-Type: application/x-www-form-urlencoded' \ --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ @@ -544,7 +544,7 @@ function register_client_and_fetch_access_token() { # Register client echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" - local client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + local client_creation_response=$(curl -k --silent --fail --show-error -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") if [ -z "$client_creation_response" ]; then echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" diff --git a/platform/onebox/backup_and_restore/sanitization/postrestore.sh b/platform/onebox/backup_and_restore/sanitization/postrestore.sh index c3a18712..2e41992a 100644 --- a/platform/onebox/backup_and_restore/sanitization/postrestore.sh +++ b/platform/onebox/backup_and_restore/sanitization/postrestore.sh @@ -66,7 +66,7 @@ function fetch_identity_server_access_token() { echo "$(date) Getting access token for client $IS_AIFABRIC_CLIENT_NAME from $IDENTITY_SERVER_ENDPOINT" readonly local access_token_response=$( - curl -k --silent --fail --show-error --raw -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ + curl -k --silent --fail --show-error -X --location --request POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/connect/token" \ -H 'Content-Type: application/x-www-form-urlencoded' \ --data-urlencode "client_Id=$IS_AIFABRIC_CLIENT_ID" \ --data-urlencode "client_secret=$IS_AIFABRIC_CLIENT_SECRET" \ @@ -108,7 +108,7 @@ function register_client_and_fetch_access_token() { # Register client echo "$(date) Registering client by name $IS_AIFABRIC_CLIENT_NAME with client id $IS_AIFABRIC_CLIENT_ID" - local client_creation_response=$(curl -k --silent --fail --show-error --raw -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") + local client_creation_response=$(curl -k --silent --fail --show-error -X POST "https://${IDENTITY_SERVER_ENDPOINT}/identity/api/Client" -H "Connection: keep-alive" -H "accept: text/plain" -H "Authorization: Bearer ${CLIENT_INSTALLTION_TOKEN}" -H "Content-Type: application/json-patch+json" -H "Accept-Encoding: gzip, deflate, br" -H "Accept-Language: en-US,en;q=0.9" -d "{\"clientId\":\"${IS_AIFABRIC_CLIENT_ID}\",\"clientName\":\"${IS_AIFABRIC_CLIENT_NAME}\",\"clientSecrets\":[\"${IS_AIFABRIC_CLIENT_SECRET}\"],\"requireConsent\":false,\"requireClientSecret\": true,\"allowOfflineAccess\":true,\"alwaysSendClientClaims\":true,\"allowAccessTokensViaBrowser\":true,\"allowOfflineAccess\":true,\"alwaysIncludeUserClaimsInIdToken\":true,\"accessTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"identityTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"authorizationCodeLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"absoluteRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"slidingRefreshTokenLifetime\":${ACCESS_TOKEN_LIFE_TIME},\"RequireRequestObject\":true,\"Claims\":true,\"AlwaysIncludeUserClaimsInIdToken\":true,\"allowedGrantTypes\":[\"client_credentials\",\"authorization_code\"],\"allowedResponseTypes\":[\"id_token\"],\"allowedScopes\":[\"openid\",\"profile\",\"email\",\"AiFabric\",\"IdentityServerApi\",\"Orchestrator\",\"OrchestratorApiUserAccess\"]}") if [ -z "$client_creation_response" ]; then echo "$(date) $red Failed to register client $IS_AIFABRIC_CLIENT_NAME with identity server $IDENTITY_SERVER_ENDPOINT ... Exiting $default" From e99319e5ddab43a6347d1eedb31318f8f7ce7cc9 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Fri, 21 Jan 2022 16:12:51 +0200 Subject: [PATCH 108/267] Add UiPathDocumentOCR_CPU 22.2 --- .../UiPathDocumentOCR_CPU__1__metadata.json | 24 +++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/UiPathDocumentOCR_CPU__1__metadata.json diff --git a/metadata/UiPathDocumentOCR_CPU__1__metadata.json b/metadata/UiPathDocumentOCR_CPU__1__metadata.json new file mode 100644 index 00000000..5049ffe8 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 22.2.4", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text, checkboxes/radio buttons and English handwriting from Documents. This model is optimized and will only run on CPU. Please see more details in the documentation page here: https://docs.uipath.com/document-understanding/docs/ml-packages.", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10.1", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR_CPU/22.2.4/ocr_aif_cpu_package.zip" +} From 4d97d228680ca38e23b4c30609de9c94136b4f24 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 3 Mar 2022 12:56:40 +0200 Subject: [PATCH 109/267] Add semi structured models for 22.4 --- metadata/4506T__1__metadata.json | 24 +++++++++++++++++++ metadata/990__1__metadata.json | 24 +++++++++++++++++++ metadata/Acord125__1__metadata.json | 24 +++++++++++++++++++ metadata/AustralianInvoices__9__metadata.json | 24 +++++++++++++++++++ metadata/DeliveryNotes__2__metadata.json | 24 +++++++++++++++++++ metadata/DocumentClassifier__5__metadata.json | 24 +++++++++++++++++++ .../DocumentUnderstanding__10__metadata.json | 24 +++++++++++++++++++ metadata/FM1003__1__metadata.json | 24 +++++++++++++++++++ metadata/I9__1__metadata.json | 24 +++++++++++++++++++ metadata/IDCards__3__metadata.json | 24 +++++++++++++++++++ metadata/IndianInvoices__9__metadata.json | 24 +++++++++++++++++++ metadata/InvoicesChina__2__metadata.json | 24 +++++++++++++++++++ metadata/Invoices__10__metadata.json | 24 +++++++++++++++++++ metadata/JapaneseInvoices__7__metadata.json | 24 +++++++++++++++++++ metadata/Passports__3__metadata.json | 24 +++++++++++++++++++ metadata/PurchaseOrders__9__metadata.json | 24 +++++++++++++++++++ metadata/Receipts__10__metadata.json | 24 +++++++++++++++++++ metadata/RemittanceAdvices__2__metadata.json | 24 +++++++++++++++++++ metadata/UtilityBills__9__metadata.json | 24 +++++++++++++++++++ metadata/W2__2__metadata.json | 24 +++++++++++++++++++ metadata/W9__2__metadata.json | 24 +++++++++++++++++++ 21 files changed, 504 insertions(+) create mode 100644 metadata/4506T__1__metadata.json create mode 100644 metadata/990__1__metadata.json create mode 100644 metadata/Acord125__1__metadata.json create mode 100644 metadata/AustralianInvoices__9__metadata.json create mode 100644 metadata/DeliveryNotes__2__metadata.json create mode 100644 metadata/DocumentClassifier__5__metadata.json create mode 100644 metadata/DocumentUnderstanding__10__metadata.json create mode 100644 metadata/FM1003__1__metadata.json create mode 100644 metadata/I9__1__metadata.json create mode 100644 metadata/IDCards__3__metadata.json create mode 100644 metadata/IndianInvoices__9__metadata.json create mode 100644 metadata/InvoicesChina__2__metadata.json create mode 100644 metadata/Invoices__10__metadata.json create mode 100644 metadata/JapaneseInvoices__7__metadata.json create mode 100644 metadata/Passports__3__metadata.json create mode 100644 metadata/PurchaseOrders__9__metadata.json create mode 100644 metadata/Receipts__10__metadata.json create mode 100644 metadata/RemittanceAdvices__2__metadata.json create mode 100644 metadata/UtilityBills__9__metadata.json create mode 100644 metadata/W2__2__metadata.json create mode 100644 metadata/W9__2__metadata.json diff --git a/metadata/4506T__1__metadata.json b/metadata/4506T__1__metadata.json new file mode 100644 index 00000000..18a1fe43 --- /dev/null +++ b/metadata/4506T__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 1, + "contentUri": "https:///publicmodels/AIC/4506T/22.4.0/4506t_package.zip" +} diff --git a/metadata/990__1__metadata.json b/metadata/990__1__metadata.json new file mode 100644 index 00000000..29c50132 --- /dev/null +++ b/metadata/990__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 1, + "contentUri": "https:///publicmodels/AIC/990/22.4.0/990_package.zip" +} diff --git a/metadata/Acord125__1__metadata.json b/metadata/Acord125__1__metadata.json new file mode 100644 index 00000000..17d5ef9d --- /dev/null +++ b/metadata/Acord125__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 1, + "contentUri": "https:///publicmodels/AIC/Acord125/22.4.0/acord125_package.zip" +} diff --git a/metadata/AustralianInvoices__9__metadata.json b/metadata/AustralianInvoices__9__metadata.json new file mode 100644 index 00000000..b1a5ba25 --- /dev/null +++ b/metadata/AustralianInvoices__9__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 9, + "contentUri": "https:///publicmodels/AIC/AustralianInvoices/22.4.0/invoices_au_package.zip" +} diff --git a/metadata/DeliveryNotes__2__metadata.json b/metadata/DeliveryNotes__2__metadata.json new file mode 100644 index 00000000..e67f7be9 --- /dev/null +++ b/metadata/DeliveryNotes__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "DeliveryNotes", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "DeliveryNotes", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "contentUri": "https:///publicmodels/AIC/DeliveryNotes/22.4.0/delivery_notes_package.zip" +} diff --git a/metadata/DocumentClassifier__5__metadata.json b/metadata/DocumentClassifier__5__metadata.json new file mode 100644 index 00000000..9433ef2d --- /dev/null +++ b/metadata/DocumentClassifier__5__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 22.4.0", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 5, + "contentUri": "https:///publicmodels/AIC/DocumentClassifier/22.4.0/document_type_text_classifier_package.zip" +} diff --git a/metadata/DocumentUnderstanding__10__metadata.json b/metadata/DocumentUnderstanding__10__metadata.json new file mode 100644 index 00000000..793f23e0 --- /dev/null +++ b/metadata/DocumentUnderstanding__10__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "contentUri": "https:///publicmodels/AIC/DocumentUnderstanding/22.4.0/du_package.zip" +} diff --git a/metadata/FM1003__1__metadata.json b/metadata/FM1003__1__metadata.json new file mode 100644 index 00000000..2f5f875d --- /dev/null +++ b/metadata/FM1003__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 1, + "contentUri": "https:///publicmodels/AIC/FM1003/22.4.0/fm1003_package.zip" +} diff --git a/metadata/I9__1__metadata.json b/metadata/I9__1__metadata.json new file mode 100644 index 00000000..b7aae0ec --- /dev/null +++ b/metadata/I9__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 1, + "contentUri": "https:///publicmodels/AIC/I9/22.4.0/i9_package.zip" +} diff --git a/metadata/IDCards__3__metadata.json b/metadata/IDCards__3__metadata.json new file mode 100644 index 00000000..063e3b19 --- /dev/null +++ b/metadata/IDCards__3__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 22.4.0", + "cpu": 1, + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "contentUri": "https:///publicmodels/AIC/IDCards/22.4.0/id_cards_package.zip" +} diff --git a/metadata/IndianInvoices__9__metadata.json b/metadata/IndianInvoices__9__metadata.json new file mode 100644 index 00000000..92fc2fc5 --- /dev/null +++ b/metadata/IndianInvoices__9__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 9, + "contentUri": "https:///publicmodels/AIC/IndianInvoices/22.4.0/invoices_india_package.zip" +} diff --git a/metadata/InvoicesChina__2__metadata.json b/metadata/InvoicesChina__2__metadata.json new file mode 100644 index 00000000..6cb7054c --- /dev/null +++ b/metadata/InvoicesChina__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "contentUri": "https:///publicmodels/AIC/InvoicesChina/22.4.0/invoices_china_package.zip" +} diff --git a/metadata/Invoices__10__metadata.json b/metadata/Invoices__10__metadata.json new file mode 100644 index 00000000..b00a41a4 --- /dev/null +++ b/metadata/Invoices__10__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "contentUri": "https:///publicmodels/AIC/Invoices/22.4.0/invoices_package.zip" +} diff --git a/metadata/JapaneseInvoices__7__metadata.json b/metadata/JapaneseInvoices__7__metadata.json new file mode 100644 index 00000000..c8b43ad6 --- /dev/null +++ b/metadata/JapaneseInvoices__7__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 7, + "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/22.4.0/invoices_japan_package.zip" +} diff --git a/metadata/Passports__3__metadata.json b/metadata/Passports__3__metadata.json new file mode 100644 index 00000000..bc0e83cc --- /dev/null +++ b/metadata/Passports__3__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 22.4.0", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "contentUri": "https:///publicmodels/AIC/Passports/22.4.0/passports_package.zip" +} diff --git a/metadata/PurchaseOrders__9__metadata.json b/metadata/PurchaseOrders__9__metadata.json new file mode 100644 index 00000000..afe2e1f2 --- /dev/null +++ b/metadata/PurchaseOrders__9__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 9, + "contentUri": "https:///publicmodels/AIC/PurchaseOrders/22.4.0/purchase_orders_package.zip" +} diff --git a/metadata/Receipts__10__metadata.json b/metadata/Receipts__10__metadata.json new file mode 100644 index 00000000..954cd0d3 --- /dev/null +++ b/metadata/Receipts__10__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "contentUri": "https:///publicmodels/AIC/Receipts/22.4.0/receipts_package.zip" +} diff --git a/metadata/RemittanceAdvices__2__metadata.json b/metadata/RemittanceAdvices__2__metadata.json new file mode 100644 index 00000000..443081c0 --- /dev/null +++ b/metadata/RemittanceAdvices__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "contentUri": "https:///publicmodels/AIC/RemittanceAdvices/22.4.0/remittance_advices_package.zip" +} diff --git a/metadata/UtilityBills__9__metadata.json b/metadata/UtilityBills__9__metadata.json new file mode 100644 index 00000000..5c67d681 --- /dev/null +++ b/metadata/UtilityBills__9__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 9, + "contentUri": "https:///publicmodels/AIC/UtilityBills/22.4.0/utility_bills_package.zip" +} diff --git a/metadata/W2__2__metadata.json b/metadata/W2__2__metadata.json new file mode 100644 index 00000000..4420d3c5 --- /dev/null +++ b/metadata/W2__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "contentUri": "https:///publicmodels/AIC/W2/22.4.0/w2_package.zip" +} diff --git a/metadata/W9__2__metadata.json b/metadata/W9__2__metadata.json new file mode 100644 index 00000000..346211f9 --- /dev/null +++ b/metadata/W9__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "Model: 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "contentUri": "https:///publicmodels/AIC/W9/22.4.0/w9_package.zip" +} From 6c827dfcb94cc8925f7791508d20ad5e49ba67a5 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 3 Mar 2022 13:52:03 +0200 Subject: [PATCH 110/267] Add metadata for DOC OCR 22.4 --- .../UiPathDocumentOCR_CPU__2__metadata.json | 24 +++++++++++++++++++ metadata/UiPathDocumentOCR__7__metadata.json | 24 +++++++++++++++++++ 2 files changed, 48 insertions(+) create mode 100644 metadata/UiPathDocumentOCR_CPU__2__metadata.json create mode 100644 metadata/UiPathDocumentOCR__7__metadata.json diff --git a/metadata/UiPathDocumentOCR_CPU__2__metadata.json b/metadata/UiPathDocumentOCR_CPU__2__metadata.json new file mode 100644 index 00000000..5f68fbcf --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 22.4.0", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR_CPU/22.4.0/ocr_aif_cpu_package.zip" +} diff --git a/metadata/UiPathDocumentOCR__7__metadata.json b/metadata/UiPathDocumentOCR__7__metadata.json new file mode 100644 index 00000000..b9fc62b2 --- /dev/null +++ b/metadata/UiPathDocumentOCR__7__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 22.4.0", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 7, + "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR/22.4.0/ocr_aif_package.zip" +} From 1efa142fc8d6ff792171fc1525f33bc29ff843ec Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 24 Mar 2022 11:56:47 +0200 Subject: [PATCH 111/267] Deprecate IFE, FE, IKC --- metadata/FormExtractor__1__metadata.json | 24 ------------------- metadata/FormExtractor__2__metadata.json | 2 +- .../HandwritingRecognition__2__metadata.json | 24 ------------------- ...IntelligentFormExtractor__1__metadata.json | 24 ------------------- ...IntelligentFormExtractor__2__metadata.json | 2 +- ...lligentKeywordClassifier__1__metadata.json | 24 ------------------- ...lligentKeywordClassifier__2__metadata.json | 2 +- 7 files changed, 3 insertions(+), 99 deletions(-) delete mode 100644 metadata/FormExtractor__1__metadata.json delete mode 100644 metadata/HandwritingRecognition__2__metadata.json delete mode 100644 metadata/IntelligentFormExtractor__1__metadata.json delete mode 100644 metadata/IntelligentKeywordClassifier__1__metadata.json diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json deleted file mode 100644 index ca35e3f5..00000000 --- a/metadata/FormExtractor__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "v21-7-18", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", - "displayName": "FormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "FormExtractor", - "outputDescription": "Please refer to the documentation of the Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 1, - "contentUri": "https:///publicmodels/AIC/FormExtractor/1/FE-du-svc-v21-7-18-main-4a0e8c.zip" -} diff --git a/metadata/FormExtractor__2__metadata.json b/metadata/FormExtractor__2__metadata.json index 117d1e21..add4326b 100644 --- a/metadata/FormExtractor__2__metadata.json +++ b/metadata/FormExtractor__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "v21-7-18", "cpu": 0, - "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", + "description": "[DEPRECATED] This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", "displayName": "FormExtractor", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json deleted file mode 100644 index 202fa698..00000000 --- a/metadata/HandwritingRecognition__2__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Model: 21.4.0", - "cpu": 0, - "description": "This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "HandwritingRecognition", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "HandwritingRecognition", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 2, - "contentUri": "https:///publicmodels/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" -} diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json deleted file mode 100644 index 1c7d14a5..00000000 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "v21-7-18", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "IntelligentFormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IntelligentFormExtractor", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 1, - "contentUri": "https:///publicmodels/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21-7-18-main-4a0e8c.zip" -} diff --git a/metadata/IntelligentFormExtractor__2__metadata.json b/metadata/IntelligentFormExtractor__2__metadata.json index 9c780665..ee4bc02c 100644 --- a/metadata/IntelligentFormExtractor__2__metadata.json +++ b/metadata/IntelligentFormExtractor__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "v21-7-18", "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", "displayName": "IntelligentFormExtractor", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json deleted file mode 100644 index b86f2b82..00000000 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "v21-7-18", - "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", - "displayName": "IntelligentKeywordClassifier", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried for the Intelligent Keyword Classifier Activity. To learn how to use the Intelligent Keyword Classifier, visit its documentation: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier .", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IntelligentKeywordClassifier", - "outputDescription": "Please refer to the documentation of the Intelligent Keyword Classifier Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 1, - "contentUri": "https:///publicmodels/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21-7-18-main-4a0e8c.zip" -} diff --git a/metadata/IntelligentKeywordClassifier__2__metadata.json b/metadata/IntelligentKeywordClassifier__2__metadata.json index dd887692..df10c002 100644 --- a/metadata/IntelligentKeywordClassifier__2__metadata.json +++ b/metadata/IntelligentKeywordClassifier__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "v21-7-18", "cpu": 0, - "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", + "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", "displayName": "IntelligentKeywordClassifier", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried for the Intelligent Keyword Classifier Activity. To learn how to use the Intelligent Keyword Classifier, visit its documentation: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier .", From 6e8d708631500f731d1ccbf849c44871a0099ba6 Mon Sep 17 00:00:00 2001 From: aakashuipath <47316732+aakashuipath@users.noreply.github.com> Date: Tue, 29 Mar 2022 10:38:26 +0530 Subject: [PATCH 112/267] [AIFBR-11426]added TM model version 1.15 (#181) * added TM model version 1.15 * changed version --- metadata/TMAnalyzerModel__2__metadata.json | 24 ++++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/TMAnalyzerModel__2__metadata.json diff --git a/metadata/TMAnalyzerModel__2__metadata.json b/metadata/TMAnalyzerModel__2__metadata.json new file mode 100644 index 00000000..6ca13b28 --- /dev/null +++ b/metadata/TMAnalyzerModel__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "TMAnalyzerModel", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", + "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", + "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", + "changeLog": "Internal Version 1.1.5", + "cpu": 0, + "inputType": "JSON", + "displayName": "TMAnalyzerModel", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Task Mining", + "projectDescription": "UiPath Task Mining models to analyze captured data", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 0, + "version": 2, + "contentUri": "https:///publicmodels/AIC/TaskMining/2/task_mining.zip" +} From d173891d7e1584bbc5fdde98afca1d077f77290d Mon Sep 17 00:00:00 2001 From: "danylo.dutka" Date: Fri, 1 Apr 2022 12:47:11 +0200 Subject: [PATCH 113/267] PDR-4532 Updated the TMAnalyzerModel package to 1.1.6, updated user-facing version to 21 to match Cloud --- ...son => TMAnalyzerModel__21__metadata.json} | 48 +++++++++---------- 1 file changed, 24 insertions(+), 24 deletions(-) rename metadata/{TMAnalyzerModel__2__metadata.json => TMAnalyzerModel__21__metadata.json} (90%) diff --git a/metadata/TMAnalyzerModel__2__metadata.json b/metadata/TMAnalyzerModel__21__metadata.json similarity index 90% rename from metadata/TMAnalyzerModel__2__metadata.json rename to metadata/TMAnalyzerModel__21__metadata.json index 6ca13b28..43030758 100644 --- a/metadata/TMAnalyzerModel__2__metadata.json +++ b/metadata/TMAnalyzerModel__21__metadata.json @@ -1,24 +1,24 @@ -{ - "name": "TMAnalyzerModel", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", - "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", - "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", - "changeLog": "Internal Version 1.1.5", - "cpu": 0, - "inputType": "JSON", - "displayName": "TMAnalyzerModel", - "memory": 0, - "mlPackageLanguage": "PYTHON38", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Task Mining", - "projectDescription": "UiPath Task Mining models to analyze captured data", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 0, - "version": 2, - "contentUri": "https:///publicmodels/AIC/TaskMining/2/task_mining.zip" -} +{ + "name": "TMAnalyzerModel", + "retrainable": true, + "gpu": 1, + "processorType": "CPU", + "description": "Task Mining Model package meant to process and produce the data containing detected tasks.", + "inputDescription": "Dataset that contains files captured and uploaded by Task Mining Desktop application (or uploaded via Task Mining Uploader tool).", + "outputDescription": "Definition of the tasks that can be visualized in Task Mining Admin Console. Data will be imported into Admin Console Discovered Tasks section automatically some time after the package is finished.", + "changeLog": "Internal Version 1.1.6", + "cpu": 0, + "inputType": "JSON", + "displayName": "TMAnalyzerModel", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Task Mining", + "projectDescription": "UiPath Task Mining models to analyze captured data", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 0, + "version": 21, + "contentUri": "https:///publicmodels/AIC/TaskMining/21/task_mining.zip" +} From 32cbe7124384c174833b12571f61fd95c42bc97e Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Tue, 5 Apr 2022 19:33:11 +0530 Subject: [PATCH 114/267] add CV v3 (#183) --- .../PYTHON36_CV__3__metadata.json | 20 ++++++++++++++ metadata/ComputerVision__3__metadata.json | 26 +++++++++++++++++++ 2 files changed, 46 insertions(+) create mode 100644 language_version_metadata/PYTHON36_CV__3__metadata.json create mode 100644 metadata/ComputerVision__3__metadata.json diff --git a/language_version_metadata/PYTHON36_CV__3__metadata.json b/language_version_metadata/PYTHON36_CV__3__metadata.json new file mode 100644 index 00000000..2ac0e782 --- /dev/null +++ b/language_version_metadata/PYTHON36_CV__3__metadata.json @@ -0,0 +1,20 @@ +[{ + "version": 3, + "imageType": "SERVING", + "processor": "CPU", + "mlPackageLanguage": "PYTHON36_CV", + "languageGroup": "CV", + "baseImage": "python36cv:22.4.0-3", + "runtimeImage": "", + "displayName": "Python 36 CV" +}, +{ + "version": 3, + "imageType": "SERVING", + "processor": "GPU", + "mlPackageLanguage": "PYTHON36_CV", + "languageGroup": "CV", + "baseImage": "python36cv:22.4.0-3", + "runtimeImage": "", + "displayName": "Python 36 CV" +}] \ No newline at end of file diff --git a/metadata/ComputerVision__3__metadata.json b/metadata/ComputerVision__3__metadata.json new file mode 100644 index 00000000..c8a65f5d --- /dev/null +++ b/metadata/ComputerVision__3__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "Release v2022.04.07001", + "cpu": 0, + "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 1, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 3, + "baseImageCpu": "python36cv:22.4.0-3", + "baseImageGpu": "python36cv:22.4.0-3", + "contentUri": "https:///publicmodels/AIC/ComputerVision/3/cv_server.zip" +} \ No newline at end of file From f2463dc604e115f46992751f6897a74e2d2a173b Mon Sep 17 00:00:00 2001 From: nazar Date: Wed, 6 Apr 2022 18:29:38 +0300 Subject: [PATCH 115/267] Changed minAIFabricVersion for TMAnalyzerModel --- metadata/TMAnalyzerModel__21__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/TMAnalyzerModel__21__metadata.json b/metadata/TMAnalyzerModel__21__metadata.json index 43030758..efcd4e31 100644 --- a/metadata/TMAnalyzerModel__21__metadata.json +++ b/metadata/TMAnalyzerModel__21__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Task Mining", "projectDescription": "UiPath Task Mining models to analyze captured data", "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", + "minAIFabricVersion": "22.4", "languageVersion": 0, "version": 21, "contentUri": "https:///publicmodels/AIC/TaskMining/21/task_mining.zip" From 8217e959b668101534ff35b5e122f1b626b6f98b Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Fri, 8 Apr 2022 19:13:37 +0530 Subject: [PATCH 116/267] add text analysis models (#186) --- ...omNamedEntityRecognition__7__metadata.json | 23 +++++++++++++++++++ .../LightTextClassification__3__metadata.json | 23 +++++++++++++++++++ 2 files changed, 46 insertions(+) create mode 100644 metadata/CustomNamedEntityRecognition__7__metadata.json create mode 100644 metadata/LightTextClassification__3__metadata.json diff --git a/metadata/CustomNamedEntityRecognition__7__metadata.json b/metadata/CustomNamedEntityRecognition__7__metadata.json new file mode 100644 index 00000000..25c9eb69 --- /dev/null +++ b/metadata/CustomNamedEntityRecognition__7__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "CustomNamedEntityRecognition", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", + "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", + "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", + "changeLog": "This version includes multiple bug fixes and additional artifacts to evaluate the trained model", + "cpu": 1, + "inputType": "JSON", + "displayName": "CustomNamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "version": 7, + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/7/ner_package.zip" +} diff --git a/metadata/LightTextClassification__3__metadata.json b/metadata/LightTextClassification__3__metadata.json new file mode 100644 index 00000000..411ac114 --- /dev/null +++ b/metadata/LightTextClassification__3__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "LightTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "inputDescription": "Text that would be classified.", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", + "changeLog": "Minor usability improvements", + "cpu": 1, + "inputType": "JSON", + "displayName": "LightTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "version": 3, + "contentUri": "https:///publicmodels/AIC/LightTextClassification/3/bow_text_classifier_package.zip" +} From 0067a262df44fe2430d0b431129eb9e6783134c1 Mon Sep 17 00:00:00 2001 From: Sankar Venkataraman Date: Thu, 14 Apr 2022 13:02:08 +0530 Subject: [PATCH 117/267] Adding MultiLingualTextClassification and updating other 2 model metadata --- ...omNamedEntityRecognition__7__metadata.json | 4 ++-- .../LightTextClassification__3__metadata.json | 4 ++-- ...ingualTextClassification__3__metadata.json | 23 +++++++++++++++++++ 3 files changed, 27 insertions(+), 4 deletions(-) create mode 100644 metadata/MultiLingualTextClassification__3__metadata.json diff --git a/metadata/CustomNamedEntityRecognition__7__metadata.json b/metadata/CustomNamedEntityRecognition__7__metadata.json index 25c9eb69..03de8f36 100644 --- a/metadata/CustomNamedEntityRecognition__7__metadata.json +++ b/metadata/CustomNamedEntityRecognition__7__metadata.json @@ -6,7 +6,7 @@ "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", - "changeLog": "This version includes multiple bug fixes and additional artifacts to evaluate the trained model", + "changeLog": "model 22.4.0", "cpu": 1, "inputType": "JSON", "displayName": "CustomNamedEntityRecognition", @@ -17,7 +17,7 @@ "projectName": "UiPath Language Analysis", "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", + "minAIFabricVersion": "v22.4", "version": 7, "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/7/ner_package.zip" } diff --git a/metadata/LightTextClassification__3__metadata.json b/metadata/LightTextClassification__3__metadata.json index 411ac114..ae9f5323 100644 --- a/metadata/LightTextClassification__3__metadata.json +++ b/metadata/LightTextClassification__3__metadata.json @@ -6,7 +6,7 @@ "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "Minor usability improvements", + "changeLog": "model 22.4.0", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", @@ -17,7 +17,7 @@ "projectName": "UiPath Language Analysis", "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", + "minAIFabricVersion": "v22.4", "version": 3, "contentUri": "https:///publicmodels/AIC/LightTextClassification/3/bow_text_classifier_package.zip" } diff --git a/metadata/MultiLingualTextClassification__3__metadata.json b/metadata/MultiLingualTextClassification__3__metadata.json new file mode 100644 index 00000000..a9f70970 --- /dev/null +++ b/metadata/MultiLingualTextClassification__3__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "MultiLingualTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is the preview version of a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", + "inputDescription": "Text that would be classified", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", + "changeLog": "model 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "MultiLingualTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.40", + "version": 3, + "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/3/bert_text_classifier_package.zip" +} \ No newline at end of file From b01442495978bdc2f9515ed2624e6a7b7cd8b2ad Mon Sep 17 00:00:00 2001 From: Sankar Venkataraman Date: Fri, 22 Apr 2022 18:38:09 +0530 Subject: [PATCH 118/267] Updating NER version to 8 --- ...data.json => CustomNamedEntityRecognition__8__metadata.json} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename metadata/{CustomNamedEntityRecognition__7__metadata.json => CustomNamedEntityRecognition__8__metadata.json} (98%) diff --git a/metadata/CustomNamedEntityRecognition__7__metadata.json b/metadata/CustomNamedEntityRecognition__8__metadata.json similarity index 98% rename from metadata/CustomNamedEntityRecognition__7__metadata.json rename to metadata/CustomNamedEntityRecognition__8__metadata.json index 03de8f36..b4adc84e 100644 --- a/metadata/CustomNamedEntityRecognition__7__metadata.json +++ b/metadata/CustomNamedEntityRecognition__8__metadata.json @@ -18,6 +18,6 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.4", - "version": 7, + "version": 8, "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/7/ner_package.zip" } From 79d2009076d6f10e9753ed3e4606803e29e0b45a Mon Sep 17 00:00:00 2001 From: Sankar Venkataraman Date: Fri, 22 Apr 2022 18:42:31 +0530 Subject: [PATCH 119/267] Updating version in url. --- metadata/CustomNamedEntityRecognition__8__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/CustomNamedEntityRecognition__8__metadata.json b/metadata/CustomNamedEntityRecognition__8__metadata.json index b4adc84e..87e85b67 100644 --- a/metadata/CustomNamedEntityRecognition__8__metadata.json +++ b/metadata/CustomNamedEntityRecognition__8__metadata.json @@ -19,5 +19,5 @@ "tenantName": "UiPath", "minAIFabricVersion": "v22.4", "version": 8, - "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/7/ner_package.zip" + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/8/ner_package.zip" } From ae9907a1ec1942f43f6a06ffbc4e98c9a516e845 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 5 Apr 2022 13:59:13 +0300 Subject: [PATCH 120/267] Add metadata for OCR 22.4 --- metadata/4506T__1__metadata.json | 3 ++- metadata/990__1__metadata.json | 3 ++- metadata/Acord125__1__metadata.json | 3 ++- metadata/AustralianInvoices__9__metadata.json | 3 ++- metadata/DeliveryNotes__2__metadata.json | 3 ++- metadata/DocumentClassifier__5__metadata.json | 3 ++- metadata/DocumentUnderstanding__10__metadata.json | 3 ++- metadata/FM1003__1__metadata.json | 3 ++- metadata/I9__1__metadata.json | 3 ++- metadata/IDCards__3__metadata.json | 3 ++- metadata/IndianInvoices__9__metadata.json | 3 ++- metadata/InvoicesChina__2__metadata.json | 3 ++- metadata/Invoices__10__metadata.json | 3 ++- metadata/JapaneseInvoices__7__metadata.json | 3 ++- metadata/Passports__3__metadata.json | 3 ++- metadata/PurchaseOrders__9__metadata.json | 3 ++- metadata/Receipts__10__metadata.json | 3 ++- metadata/RemittanceAdvices__2__metadata.json | 3 ++- metadata/UiPathDocumentOCR_CPU__2__metadata.json | 3 ++- metadata/UiPathDocumentOCR__7__metadata.json | 3 ++- metadata/UtilityBills__9__metadata.json | 3 ++- metadata/W2__2__metadata.json | 3 ++- metadata/W9__2__metadata.json | 3 ++- 23 files changed, 46 insertions(+), 23 deletions(-) diff --git a/metadata/4506T__1__metadata.json b/metadata/4506T__1__metadata.json index 18a1fe43..603f38df 100644 --- a/metadata/4506T__1__metadata.json +++ b/metadata/4506T__1__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "4506T", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 1, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/4506T/22.4.0/4506t_package.zip" } diff --git a/metadata/990__1__metadata.json b/metadata/990__1__metadata.json index 29c50132..6203cc40 100644 --- a/metadata/990__1__metadata.json +++ b/metadata/990__1__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "990", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 1, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/990/22.4.0/990_package.zip" } diff --git a/metadata/Acord125__1__metadata.json b/metadata/Acord125__1__metadata.json index 17d5ef9d..a011bb2e 100644 --- a/metadata/Acord125__1__metadata.json +++ b/metadata/Acord125__1__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "Acord125", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 1, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/Acord125/22.4.0/acord125_package.zip" } diff --git a/metadata/AustralianInvoices__9__metadata.json b/metadata/AustralianInvoices__9__metadata.json index b1a5ba25..8aa420a0 100644 --- a/metadata/AustralianInvoices__9__metadata.json +++ b/metadata/AustralianInvoices__9__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "AustralianInvoices", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 9, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/AustralianInvoices/22.4.0/invoices_au_package.zip" } diff --git a/metadata/DeliveryNotes__2__metadata.json b/metadata/DeliveryNotes__2__metadata.json index e67f7be9..013b5d61 100644 --- a/metadata/DeliveryNotes__2__metadata.json +++ b/metadata/DeliveryNotes__2__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "DeliveryNotes", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 2, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/DeliveryNotes/22.4.0/delivery_notes_package.zip" } diff --git a/metadata/DocumentClassifier__5__metadata.json b/metadata/DocumentClassifier__5__metadata.json index 9433ef2d..ced18ce0 100644 --- a/metadata/DocumentClassifier__5__metadata.json +++ b/metadata/DocumentClassifier__5__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", "displayName": "DocumentClassifier", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 5, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/DocumentClassifier/22.4.0/document_type_text_classifier_package.zip" } diff --git a/metadata/DocumentUnderstanding__10__metadata.json b/metadata/DocumentUnderstanding__10__metadata.json index 793f23e0..61db526a 100644 --- a/metadata/DocumentUnderstanding__10__metadata.json +++ b/metadata/DocumentUnderstanding__10__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "DocumentUnderstanding", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 10, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/DocumentUnderstanding/22.4.0/du_package.zip" } diff --git a/metadata/FM1003__1__metadata.json b/metadata/FM1003__1__metadata.json index 2f5f875d..41367ff9 100644 --- a/metadata/FM1003__1__metadata.json +++ b/metadata/FM1003__1__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "FM1003", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 1, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/FM1003/22.4.0/fm1003_package.zip" } diff --git a/metadata/I9__1__metadata.json b/metadata/I9__1__metadata.json index b7aae0ec..bd65b8b1 100644 --- a/metadata/I9__1__metadata.json +++ b/metadata/I9__1__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "I9", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 1, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/I9/22.4.0/i9_package.zip" } diff --git a/metadata/IDCards__3__metadata.json b/metadata/IDCards__3__metadata.json index 063e3b19..024955b9 100644 --- a/metadata/IDCards__3__metadata.json +++ b/metadata/IDCards__3__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 3, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/IDCards/22.4.0/id_cards_package.zip" } diff --git a/metadata/IndianInvoices__9__metadata.json b/metadata/IndianInvoices__9__metadata.json index 92fc2fc5..869535e6 100644 --- a/metadata/IndianInvoices__9__metadata.json +++ b/metadata/IndianInvoices__9__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "IndianInvoices", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 9, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/IndianInvoices/22.4.0/invoices_india_package.zip" } diff --git a/metadata/InvoicesChina__2__metadata.json b/metadata/InvoicesChina__2__metadata.json index 6cb7054c..a5527c34 100644 --- a/metadata/InvoicesChina__2__metadata.json +++ b/metadata/InvoicesChina__2__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "InvoicesChina", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 2, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/InvoicesChina/22.4.0/invoices_china_package.zip" } diff --git a/metadata/Invoices__10__metadata.json b/metadata/Invoices__10__metadata.json index b00a41a4..00917cf2 100644 --- a/metadata/Invoices__10__metadata.json +++ b/metadata/Invoices__10__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "Invoices", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 10, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/Invoices/22.4.0/invoices_package.zip" } diff --git a/metadata/JapaneseInvoices__7__metadata.json b/metadata/JapaneseInvoices__7__metadata.json index c8b43ad6..287d33ff 100644 --- a/metadata/JapaneseInvoices__7__metadata.json +++ b/metadata/JapaneseInvoices__7__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "JapaneseInvoices", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 7, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/22.4.0/invoices_japan_package.zip" } diff --git a/metadata/Passports__3__metadata.json b/metadata/Passports__3__metadata.json index bc0e83cc..0232dde2 100644 --- a/metadata/Passports__3__metadata.json +++ b/metadata/Passports__3__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "Passports", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 3, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/Passports/22.4.0/passports_package.zip" } diff --git a/metadata/PurchaseOrders__9__metadata.json b/metadata/PurchaseOrders__9__metadata.json index afe2e1f2..50592f5d 100644 --- a/metadata/PurchaseOrders__9__metadata.json +++ b/metadata/PurchaseOrders__9__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "PurchaseOrders", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 9, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/PurchaseOrders/22.4.0/purchase_orders_package.zip" } diff --git a/metadata/Receipts__10__metadata.json b/metadata/Receipts__10__metadata.json index 954cd0d3..31afc2ad 100644 --- a/metadata/Receipts__10__metadata.json +++ b/metadata/Receipts__10__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "Receipts", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 10, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/Receipts/22.4.0/receipts_package.zip" } diff --git a/metadata/RemittanceAdvices__2__metadata.json b/metadata/RemittanceAdvices__2__metadata.json index 443081c0..5f8c3a69 100644 --- a/metadata/RemittanceAdvices__2__metadata.json +++ b/metadata/RemittanceAdvices__2__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "RemittanceAdvices", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 2, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/RemittanceAdvices/22.4.0/remittance_advices_package.zip" } diff --git a/metadata/UiPathDocumentOCR_CPU__2__metadata.json b/metadata/UiPathDocumentOCR_CPU__2__metadata.json index 5f68fbcf..d69517e0 100644 --- a/metadata/UiPathDocumentOCR_CPU__2__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__2__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 0, "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 2, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR_CPU/22.4.0/ocr_aif_cpu_package.zip" } diff --git a/metadata/UiPathDocumentOCR__7__metadata.json b/metadata/UiPathDocumentOCR__7__metadata.json index b9fc62b2..53c1a31a 100644 --- a/metadata/UiPathDocumentOCR__7__metadata.json +++ b/metadata/UiPathDocumentOCR__7__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 0, "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 7, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR/22.4.0/ocr_aif_package.zip" } diff --git a/metadata/UtilityBills__9__metadata.json b/metadata/UtilityBills__9__metadata.json index 5c67d681..51481238 100644 --- a/metadata/UtilityBills__9__metadata.json +++ b/metadata/UtilityBills__9__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "UtilityBills", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 9, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/UtilityBills/22.4.0/utility_bills_package.zip" } diff --git a/metadata/W2__2__metadata.json b/metadata/W2__2__metadata.json index 4420d3c5..6b0c5ba7 100644 --- a/metadata/W2__2__metadata.json +++ b/metadata/W2__2__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "W2", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 2, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/W2/22.4.0/w2_package.zip" } diff --git a/metadata/W9__2__metadata.json b/metadata/W9__2__metadata.json index 346211f9..163cd626 100644 --- a/metadata/W9__2__metadata.json +++ b/metadata/W9__2__metadata.json @@ -6,7 +6,7 @@ "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 22.4.0", + "changeLog": "", "cpu": 1, "inputType": "JSON", "displayName": "W9", @@ -20,5 +20,6 @@ "minAIFabricVersion": "22.4", "languageVersion": 4, "version": 2, + "customVersion": "22.4.0", "contentUri": "https:///publicmodels/AIC/W9/22.4.0/w9_package.zip" } From 5b004764a11470fd9f296d8ad8f44d3b5ae60653 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 19 May 2022 18:21:01 +0300 Subject: [PATCH 121/267] Deprecate IFE, FE, IKC --- metadata/FormExtractor__1__metadata.json | 24 +++++++++++++++++++ .../HandwritingRecognition__2__metadata.json | 24 +++++++++++++++++++ ...IntelligentFormExtractor__1__metadata.json | 24 +++++++++++++++++++ ...lligentKeywordClassifier__1__metadata.json | 24 +++++++++++++++++++ 4 files changed, 96 insertions(+) create mode 100644 metadata/FormExtractor__1__metadata.json create mode 100644 metadata/HandwritingRecognition__2__metadata.json create mode 100644 metadata/IntelligentFormExtractor__1__metadata.json create mode 100644 metadata/IntelligentKeywordClassifier__1__metadata.json diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json new file mode 100644 index 00000000..3bc6c8bf --- /dev/null +++ b/metadata/FormExtractor__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "v21-7-18", + "cpu": 0, + "description": "[DEPRECATED] This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", + "displayName": "FormExtractor", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "FormExtractor", + "outputDescription": "Please refer to the documentation of the Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///publicmodels/AIC/FormExtractor/1/FE-du-svc-v21-7-18-main-4a0e8c.zip" +} diff --git a/metadata/HandwritingRecognition__2__metadata.json b/metadata/HandwritingRecognition__2__metadata.json new file mode 100644 index 00000000..950b83e8 --- /dev/null +++ b/metadata/HandwritingRecognition__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "Model: 21.4.0", + "cpu": 0, + "description": "[DEPRECATED] This Package provides the Handwriting recognition capability required by the Intelligent Form Extractor Package. Deploying this ML Package is required prior to deploying the Intelligent Form Extractor Package. For detailed instructions about the steps required to correctly configure and deploy the Intelligent Form Extractor, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "displayName": "HandwritingRecognition", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Package also hosted in AI Center. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "HandwritingRecognition", + "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 2, + "contentUri": "https:///publicmodels/AIC/HandwritingRecognition/2/hwocr_aif_package.zip" +} diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json new file mode 100644 index 00000000..9ceadde2 --- /dev/null +++ b/metadata/IntelligentFormExtractor__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "v21-7-18", + "cpu": 0, + "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", + "displayName": "IntelligentFormExtractor", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IntelligentFormExtractor", + "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///publicmodels/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21-7-18-main-4a0e8c.zip" +} diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json new file mode 100644 index 00000000..d6dd9b5b --- /dev/null +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "v21-7-18", + "cpu": 0, + "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", + "displayName": "IntelligentKeywordClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this package are queried for the Intelligent Keyword Classifier Activity. To learn how to use the Intelligent Keyword Classifier, visit its documentation: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier .", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IntelligentKeywordClassifier", + "outputDescription": "Please refer to the documentation of the Intelligent Keyword Classifier Activity.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "languageVersion": 3, + "version": 1, + "contentUri": "https:///publicmodels/AIC/IntelligentKeywordClassifier/1/IKC-du-svc-v21-7-18-main-4a0e8c.zip" +} From 37d80b05b33ffe7f612ac1193a7269695f803ed6 Mon Sep 17 00:00:00 2001 From: Jemteddy Date: Wed, 25 May 2022 09:09:47 +0200 Subject: [PATCH 122/267] Create SentimentAnalysis__1__metadata.json (#158) missing in SF --- metadata/SentimentAnalysis__1__metadata.json | 24 ++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/SentimentAnalysis__1__metadata.json diff --git a/metadata/SentimentAnalysis__1__metadata.json b/metadata/SentimentAnalysis__1__metadata.json new file mode 100644 index 00000000..5f54ad89 --- /dev/null +++ b/metadata/SentimentAnalysis__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "This model was open sourced by Facebook Research. It predicts the sentiment of a text in English Language. Possible predictions are one of \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". The model was trained on amazon product review data thus, the model predictions may have some unexpected results for different data distributions. A common use case is to route unstructured language content (e.g. emails) to an appropriate responder based on the sentiment of the text. The model implementation is open sourced by the license here: https://github.com/facebookresearch/fastText/blob/master/LICENSE", + "displayName": "SentimentAnalysis", + "gpu": 0, + "inputDescription": "Text to be analyzed.\nFor example:\n'I am dissatisfied with this service'", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "languageVersion": 0, + "name": "SentimentAnalysis", + "outputDescription": "JSON with class name and confidence on that class prediction (between 0-1). Class prediction can be one of: \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". For example: {\"sentiment\": \"Very Negative\", \"confidence\": 0.97}", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "Language Analysis", + "minAIFabricVersion": "v21.10", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "version": 1, + "contentUri": "https:///download/AIC/SentimentAnalysis/1/Model.zip" +} From 37af09e2ad06fcdd863401af2756a3107513a24f Mon Sep 17 00:00:00 2001 From: Jemteddy Date: Wed, 25 May 2022 09:10:03 +0200 Subject: [PATCH 123/267] Create QuestionAnswering__1__metadata.json (#157) missing for SF --- metadata/QuestionAnswering__1__metadata.json | 24 ++++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/QuestionAnswering__1__metadata.json diff --git a/metadata/QuestionAnswering__1__metadata.json b/metadata/QuestionAnswering__1__metadata.json new file mode 100644 index 00000000..a48831bb --- /dev/null +++ b/metadata/QuestionAnswering__1__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "This model was open sourced by ONNX. The model predicts the answer to a question based on some paragraph context. A common use case is in KYC or processing financial reports where a common question can be applied to a standard set of documents. It is based on the state-of-the-art BERT (Bidirectional Encoder Representations from Transformers). The model applies Transformers, a popular attention model, to language modelling to produce an encoding of the input and then trains on the task of question answering. The implementation is open sourced by the license here: https://github.com/onnx/models/blob/master/LICENSE", + "displayName": "QuestionAnswering", + "gpu": 0, + "inputDescription": "The input is a paragraph and question relating to that paragraph. For example:\n```\n{\n \"paragraph\": \"Abraham Lincoln was an American statesman and lawyer who served as the 16th president of the United States from March 1861 until his assassination in April 1865. Lincoln led the nation through the American Civil War, its bloodiest war and its greatest moral, constitutional, and political crisis.[3][4] He preserved the Union, abolished slavery, strengthened the federal government, and modernized the U.S. economy.\",\n \"question\": \"Which year did Lincoln pass away?\"\n}```", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "languageVersion": 0, + "name": "QuestionAnswering", + "outputDescription": "Answer to the questions asked in input mapped to ids\n```\n{\n \"answer\": \"1865\"\n}\n```", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "Language Comprehension", + "minAIFabricVersion": "v21.10", + "projectDescription": "Models performing cognitively challenging tasks such as text summarization and question answering.", + "tenantName": "Open-Source Packages", + "version": 1, + "contentUri": "https:///download/AIC/QuestionAnswering/1/Model.zip" +} From 10adf47ce1de1fc52c5312f65938b2027aff3171 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 24 May 2022 15:53:35 +0300 Subject: [PATCH 124/267] Remove deprecated description from FE and IKC --- metadata/FormExtractor__1__metadata.json | 2 +- metadata/FormExtractor__2__metadata.json | 2 +- metadata/IntelligentKeywordClassifier__1__metadata.json | 2 +- metadata/IntelligentKeywordClassifier__2__metadata.json | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/metadata/FormExtractor__1__metadata.json b/metadata/FormExtractor__1__metadata.json index 3bc6c8bf..ca35e3f5 100644 --- a/metadata/FormExtractor__1__metadata.json +++ b/metadata/FormExtractor__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "v21-7-18", "cpu": 0, - "description": "[DEPRECATED] This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", + "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", "displayName": "FormExtractor", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", diff --git a/metadata/FormExtractor__2__metadata.json b/metadata/FormExtractor__2__metadata.json index add4326b..117d1e21 100644 --- a/metadata/FormExtractor__2__metadata.json +++ b/metadata/FormExtractor__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "v21-7-18", "cpu": 0, - "description": "[DEPRECATED] This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", + "description": "This Package provides the Endpoint required by the Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/form-extractor", "displayName": "FormExtractor", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried directly by Form Extractor Activity. For document types, languages supported and other information about the Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/form-extractor.", diff --git a/metadata/IntelligentKeywordClassifier__1__metadata.json b/metadata/IntelligentKeywordClassifier__1__metadata.json index d6dd9b5b..b86f2b82 100644 --- a/metadata/IntelligentKeywordClassifier__1__metadata.json +++ b/metadata/IntelligentKeywordClassifier__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "v21-7-18", "cpu": 0, - "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", + "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", "displayName": "IntelligentKeywordClassifier", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried for the Intelligent Keyword Classifier Activity. To learn how to use the Intelligent Keyword Classifier, visit its documentation: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier .", diff --git a/metadata/IntelligentKeywordClassifier__2__metadata.json b/metadata/IntelligentKeywordClassifier__2__metadata.json index df10c002..dd887692 100644 --- a/metadata/IntelligentKeywordClassifier__2__metadata.json +++ b/metadata/IntelligentKeywordClassifier__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "v21-7-18", "cpu": 0, - "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", + "description": "This Package provides the Endpoint required by the Intelligent Keyword Classifier activity. Please see more details in the Intelligent Keyword Classifier activity documentation here: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier", "displayName": "IntelligentKeywordClassifier", "gpu": 0, "inputDescription": "ML Skills deployed using this package are queried for the Intelligent Keyword Classifier Activity. To learn how to use the Intelligent Keyword Classifier, visit its documentation: https://docs.uipath.com/activities/docs/intelligent-keyword-classifier .", From e50b2f28f518144ad4206f7396d794ebc7f27917 Mon Sep 17 00:00:00 2001 From: Sankar Venkataraman Date: Tue, 14 Jun 2022 15:45:09 +0530 Subject: [PATCH 125/267] Adding NER v9 and v4 Classification models. --- ...omNamedEntityRecognition__9__metadata.json | 23 +++++++++++++++++++ .../LightTextClassification__4__metadata.json | 23 +++++++++++++++++++ ...ingualTextClassification__4__metadata.json | 23 +++++++++++++++++++ 3 files changed, 69 insertions(+) create mode 100644 metadata/CustomNamedEntityRecognition__9__metadata.json create mode 100644 metadata/LightTextClassification__4__metadata.json create mode 100644 metadata/MultiLingualTextClassification__4__metadata.json diff --git a/metadata/CustomNamedEntityRecognition__9__metadata.json b/metadata/CustomNamedEntityRecognition__9__metadata.json new file mode 100644 index 00000000..daa66568 --- /dev/null +++ b/metadata/CustomNamedEntityRecognition__9__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "CustomNamedEntityRecognition", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", + "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", + "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "CustomNamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 9, + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/9/ner_package.zip" +} diff --git a/metadata/LightTextClassification__4__metadata.json b/metadata/LightTextClassification__4__metadata.json new file mode 100644 index 00000000..c138da03 --- /dev/null +++ b/metadata/LightTextClassification__4__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "LightTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "inputDescription": "Text that would be classified.", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "LightTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 3, + "contentUri": "https:///publicmodels/AIC/LightTextClassification/4/bow_text_classifier_package.zip" +} diff --git a/metadata/MultiLingualTextClassification__4__metadata.json b/metadata/MultiLingualTextClassification__4__metadata.json new file mode 100644 index 00000000..5349c2d0 --- /dev/null +++ b/metadata/MultiLingualTextClassification__4__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "MultiLingualTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is the preview version of a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", + "inputDescription": "Text that would be classified", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "MultiLingualTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.40", + "version": 3, + "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/4/bert_text_classifier_package.zip" +} \ No newline at end of file From 3fb3316adeac288bea6bda2ff31f6a7453d296ca Mon Sep 17 00:00:00 2001 From: Sankar Venkataraman Date: Mon, 27 Jun 2022 09:26:47 +0530 Subject: [PATCH 126/267] Update LTC version to 4 --- metadata/LightTextClassification__4__metadata.json | 2 +- metadata/MultiLingualTextClassification__4__metadata.json | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/metadata/LightTextClassification__4__metadata.json b/metadata/LightTextClassification__4__metadata.json index c138da03..c8eb4c02 100644 --- a/metadata/LightTextClassification__4__metadata.json +++ b/metadata/LightTextClassification__4__metadata.json @@ -18,6 +18,6 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.4", - "version": 3, + "version": 4, "contentUri": "https:///publicmodels/AIC/LightTextClassification/4/bow_text_classifier_package.zip" } diff --git a/metadata/MultiLingualTextClassification__4__metadata.json b/metadata/MultiLingualTextClassification__4__metadata.json index 5349c2d0..6507e964 100644 --- a/metadata/MultiLingualTextClassification__4__metadata.json +++ b/metadata/MultiLingualTextClassification__4__metadata.json @@ -18,6 +18,6 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.40", - "version": 3, + "version": 4, "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/4/bert_text_classifier_package.zip" } \ No newline at end of file From c38e9669c678c427d4c6eb636f2200e2819d7859 Mon Sep 17 00:00:00 2001 From: irinel-birsan-uipath <42834544+irinel-birsan-uipath@users.noreply.github.com> Date: Tue, 19 Jul 2022 18:22:43 +0300 Subject: [PATCH 127/267] Add 22.4.1 semi structured models metadata (#197) --- metadata/4506T__2__metadata.json | 25 +++++++++++++++++++ metadata/990__2__metadata.json | 25 +++++++++++++++++++ metadata/Acord125__2__metadata.json | 25 +++++++++++++++++++ .../AustralianInvoices__10__metadata.json | 25 +++++++++++++++++++ metadata/DeliveryNotes__3__metadata.json | 25 +++++++++++++++++++ .../DocumentUnderstanding__11__metadata.json | 25 +++++++++++++++++++ metadata/FM1003__2__metadata.json | 25 +++++++++++++++++++ metadata/I9__2__metadata.json | 25 +++++++++++++++++++ metadata/IDCards__4__metadata.json | 25 +++++++++++++++++++ metadata/IndianInvoices__10__metadata.json | 25 +++++++++++++++++++ metadata/InvoicesChina__3__metadata.json | 25 +++++++++++++++++++ metadata/Invoices__11__metadata.json | 25 +++++++++++++++++++ metadata/JapaneseInvoices__8__metadata.json | 25 +++++++++++++++++++ metadata/Passports__4__metadata.json | 25 +++++++++++++++++++ metadata/PurchaseOrders__10__metadata.json | 25 +++++++++++++++++++ metadata/Receipts__11__metadata.json | 25 +++++++++++++++++++ metadata/RemittanceAdvices__3__metadata.json | 25 +++++++++++++++++++ metadata/UtilityBills__10__metadata.json | 25 +++++++++++++++++++ metadata/W2__3__metadata.json | 25 +++++++++++++++++++ metadata/W9__3__metadata.json | 25 +++++++++++++++++++ 20 files changed, 500 insertions(+) create mode 100644 metadata/4506T__2__metadata.json create mode 100644 metadata/990__2__metadata.json create mode 100644 metadata/Acord125__2__metadata.json create mode 100644 metadata/AustralianInvoices__10__metadata.json create mode 100644 metadata/DeliveryNotes__3__metadata.json create mode 100644 metadata/DocumentUnderstanding__11__metadata.json create mode 100644 metadata/FM1003__2__metadata.json create mode 100644 metadata/I9__2__metadata.json create mode 100644 metadata/IDCards__4__metadata.json create mode 100644 metadata/IndianInvoices__10__metadata.json create mode 100644 metadata/InvoicesChina__3__metadata.json create mode 100644 metadata/Invoices__11__metadata.json create mode 100644 metadata/JapaneseInvoices__8__metadata.json create mode 100644 metadata/Passports__4__metadata.json create mode 100644 metadata/PurchaseOrders__10__metadata.json create mode 100644 metadata/Receipts__11__metadata.json create mode 100644 metadata/RemittanceAdvices__3__metadata.json create mode 100644 metadata/UtilityBills__10__metadata.json create mode 100644 metadata/W2__3__metadata.json create mode 100644 metadata/W9__3__metadata.json diff --git a/metadata/4506T__2__metadata.json b/metadata/4506T__2__metadata.json new file mode 100644 index 00000000..68f43187 --- /dev/null +++ b/metadata/4506T__2__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/4506T/22.4.1/4506t_package.zip" +} diff --git a/metadata/990__2__metadata.json b/metadata/990__2__metadata.json new file mode 100644 index 00000000..35366159 --- /dev/null +++ b/metadata/990__2__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/990/22.4.1/990_package.zip" +} diff --git a/metadata/Acord125__2__metadata.json b/metadata/Acord125__2__metadata.json new file mode 100644 index 00000000..8e8dba28 --- /dev/null +++ b/metadata/Acord125__2__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/Acord125/22.4.1/acord125_package.zip" +} diff --git a/metadata/AustralianInvoices__10__metadata.json b/metadata/AustralianInvoices__10__metadata.json new file mode 100644 index 00000000..4822f436 --- /dev/null +++ b/metadata/AustralianInvoices__10__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/AustralianInvoices/22.4.1/invoices_au_package.zip" +} diff --git a/metadata/DeliveryNotes__3__metadata.json b/metadata/DeliveryNotes__3__metadata.json new file mode 100644 index 00000000..3869dafc --- /dev/null +++ b/metadata/DeliveryNotes__3__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "DeliveryNotes", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DeliveryNotes", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/DeliveryNotes/22.4.1/delivery_notes_package.zip" +} diff --git a/metadata/DocumentUnderstanding__11__metadata.json b/metadata/DocumentUnderstanding__11__metadata.json new file mode 100644 index 00000000..601da1ff --- /dev/null +++ b/metadata/DocumentUnderstanding__11__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 11, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/DocumentUnderstanding/22.4.1/du_package.zip" +} diff --git a/metadata/FM1003__2__metadata.json b/metadata/FM1003__2__metadata.json new file mode 100644 index 00000000..1d5a4fe8 --- /dev/null +++ b/metadata/FM1003__2__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/FM1003/22.4.1/fm1003_package.zip" +} diff --git a/metadata/I9__2__metadata.json b/metadata/I9__2__metadata.json new file mode 100644 index 00000000..10f76ada --- /dev/null +++ b/metadata/I9__2__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/I9/22.4.1/i9_package.zip" +} diff --git a/metadata/IDCards__4__metadata.json b/metadata/IDCards__4__metadata.json new file mode 100644 index 00000000..c1b5e386 --- /dev/null +++ b/metadata/IDCards__4__metadata.json @@ -0,0 +1,25 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 4, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/IDCards/22.4.1/id_cards_package.zip" +} diff --git a/metadata/IndianInvoices__10__metadata.json b/metadata/IndianInvoices__10__metadata.json new file mode 100644 index 00000000..1d9620f9 --- /dev/null +++ b/metadata/IndianInvoices__10__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/IndianInvoices/22.4.1/invoices_india_package.zip" +} diff --git a/metadata/InvoicesChina__3__metadata.json b/metadata/InvoicesChina__3__metadata.json new file mode 100644 index 00000000..5986aeae --- /dev/null +++ b/metadata/InvoicesChina__3__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/InvoicesChina/22.4.1/invoices_china_package.zip" +} diff --git a/metadata/Invoices__11__metadata.json b/metadata/Invoices__11__metadata.json new file mode 100644 index 00000000..7150fff9 --- /dev/null +++ b/metadata/Invoices__11__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 11, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/Invoices/22.4.1/invoices_package.zip" +} diff --git a/metadata/JapaneseInvoices__8__metadata.json b/metadata/JapaneseInvoices__8__metadata.json new file mode 100644 index 00000000..a7d9eb68 --- /dev/null +++ b/metadata/JapaneseInvoices__8__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 8, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/22.4.1/invoices_japan_package.zip" +} diff --git a/metadata/Passports__4__metadata.json b/metadata/Passports__4__metadata.json new file mode 100644 index 00000000..ccc3cf67 --- /dev/null +++ b/metadata/Passports__4__metadata.json @@ -0,0 +1,25 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 4, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/Passports/22.4.1/passports_package.zip" +} diff --git a/metadata/PurchaseOrders__10__metadata.json b/metadata/PurchaseOrders__10__metadata.json new file mode 100644 index 00000000..726869bb --- /dev/null +++ b/metadata/PurchaseOrders__10__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/PurchaseOrders/22.4.1/purchase_orders_package.zip" +} diff --git a/metadata/Receipts__11__metadata.json b/metadata/Receipts__11__metadata.json new file mode 100644 index 00000000..3fdc8bc9 --- /dev/null +++ b/metadata/Receipts__11__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 11, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/Receipts/22.4.1/receipts_package.zip" +} diff --git a/metadata/RemittanceAdvices__3__metadata.json b/metadata/RemittanceAdvices__3__metadata.json new file mode 100644 index 00000000..76946e36 --- /dev/null +++ b/metadata/RemittanceAdvices__3__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/RemittanceAdvices/22.4.1/remittance_advices_package.zip" +} diff --git a/metadata/UtilityBills__10__metadata.json b/metadata/UtilityBills__10__metadata.json new file mode 100644 index 00000000..49ffe9ee --- /dev/null +++ b/metadata/UtilityBills__10__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/UtilityBills/22.4.1/utility_bills_package.zip" +} diff --git a/metadata/W2__3__metadata.json b/metadata/W2__3__metadata.json new file mode 100644 index 00000000..8d65df54 --- /dev/null +++ b/metadata/W2__3__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/W2/22.4.1/w2_package.zip" +} diff --git a/metadata/W9__3__metadata.json b/metadata/W9__3__metadata.json new file mode 100644 index 00000000..2398beba --- /dev/null +++ b/metadata/W9__3__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/W9/22.4.1/w9_package.zip" +} From eace985dea442a175b0ec02a009f715be9b45e2d Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Mon, 15 Aug 2022 17:18:40 +0300 Subject: [PATCH 128/267] Add metadata for 22.10 models --- metadata/4506T__3__metadata.json | 33 ++++++++++++++++++ metadata/990__3__metadata.json | 33 ++++++++++++++++++ metadata/Acord125__3__metadata.json | 33 ++++++++++++++++++ .../AustralianInvoices__11__metadata.json | 33 ++++++++++++++++++ metadata/DeliveryNotes__4__metadata.json | 33 ++++++++++++++++++ metadata/DocumentClassifier__6__metadata.json | 26 ++++++++++++++ .../DocumentUnderstanding__12__metadata.json | 33 ++++++++++++++++++ metadata/FM1003__3__metadata.json | 33 ++++++++++++++++++ metadata/I9__3__metadata.json | 33 ++++++++++++++++++ metadata/IDCards__5__metadata.json | 33 ++++++++++++++++++ metadata/IndianInvoices__11__metadata.json | 33 ++++++++++++++++++ metadata/InvoicesChina__4__metadata.json | 33 ++++++++++++++++++ metadata/Invoices__12__metadata.json | 32 +++++++++++++++++ metadata/JapaneseInvoices__9__metadata.json | 33 ++++++++++++++++++ metadata/Passports__5__metadata.json | 33 ++++++++++++++++++ metadata/PurchaseOrders__11__metadata.json | 33 ++++++++++++++++++ metadata/Receipts__12__metadata.json | 33 ++++++++++++++++++ metadata/RemittanceAdvices__4__metadata.json | 33 ++++++++++++++++++ .../UiPathDocumentOCR_CPU__3__metadata.json | 26 ++++++++++++++ metadata/UiPathDocumentOCR__8__metadata.json | 26 ++++++++++++++ metadata/UtilityBills__11__metadata.json | 33 ++++++++++++++++++ metadata/W2__4__metadata.json | 33 ++++++++++++++++++ metadata/W9__4__metadata.json | 34 +++++++++++++++++++ 23 files changed, 738 insertions(+) create mode 100644 metadata/4506T__3__metadata.json create mode 100644 metadata/990__3__metadata.json create mode 100644 metadata/Acord125__3__metadata.json create mode 100644 metadata/AustralianInvoices__11__metadata.json create mode 100644 metadata/DeliveryNotes__4__metadata.json create mode 100644 metadata/DocumentClassifier__6__metadata.json create mode 100644 metadata/DocumentUnderstanding__12__metadata.json create mode 100644 metadata/FM1003__3__metadata.json create mode 100644 metadata/I9__3__metadata.json create mode 100644 metadata/IDCards__5__metadata.json create mode 100644 metadata/IndianInvoices__11__metadata.json create mode 100644 metadata/InvoicesChina__4__metadata.json create mode 100644 metadata/Invoices__12__metadata.json create mode 100644 metadata/JapaneseInvoices__9__metadata.json create mode 100644 metadata/Passports__5__metadata.json create mode 100644 metadata/PurchaseOrders__11__metadata.json create mode 100644 metadata/Receipts__12__metadata.json create mode 100644 metadata/RemittanceAdvices__4__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__3__metadata.json create mode 100644 metadata/UiPathDocumentOCR__8__metadata.json create mode 100644 metadata/UtilityBills__11__metadata.json create mode 100644 metadata/W2__4__metadata.json create mode 100644 metadata/W9__4__metadata.json diff --git a/metadata/4506T__3__metadata.json b/metadata/4506T__3__metadata.json new file mode 100644 index 00000000..2d7dd04a --- /dev/null +++ b/metadata/4506T__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/990__3__metadata.json b/metadata/990__3__metadata.json new file mode 100644 index 00000000..aac50617 --- /dev/null +++ b/metadata/990__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__3__metadata.json b/metadata/Acord125__3__metadata.json new file mode 100644 index 00000000..63bfc7c8 --- /dev/null +++ b/metadata/Acord125__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/AustralianInvoices__11__metadata.json b/metadata/AustralianInvoices__11__metadata.json new file mode 100644 index 00000000..226d6d85 --- /dev/null +++ b/metadata/AustralianInvoices__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/DeliveryNotes__4__metadata.json b/metadata/DeliveryNotes__4__metadata.json new file mode 100644 index 00000000..fb3c017a --- /dev/null +++ b/metadata/DeliveryNotes__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DeliveryNotes", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DeliveryNotes", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "delivery_notes" + } + ] +} diff --git a/metadata/DocumentClassifier__6__metadata.json b/metadata/DocumentClassifier__6__metadata.json new file mode 100644 index 00000000..575d0226 --- /dev/null +++ b/metadata/DocumentClassifier__6__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.0", + "imagePath": "du-classifier:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__12__metadata.json b/metadata/DocumentUnderstanding__12__metadata.json new file mode 100644 index 00000000..ae663c4d --- /dev/null +++ b/metadata/DocumentUnderstanding__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/FM1003__3__metadata.json b/metadata/FM1003__3__metadata.json new file mode 100644 index 00000000..9d1d403f --- /dev/null +++ b/metadata/FM1003__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/I9__3__metadata.json b/metadata/I9__3__metadata.json new file mode 100644 index 00000000..e7aaf1d8 --- /dev/null +++ b/metadata/I9__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__5__metadata.json b/metadata/IDCards__5__metadata.json new file mode 100644 index 00000000..20f2d427 --- /dev/null +++ b/metadata/IDCards__5__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__11__metadata.json b/metadata/IndianInvoices__11__metadata.json new file mode 100644 index 00000000..185d0141 --- /dev/null +++ b/metadata/IndianInvoices__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__4__metadata.json b/metadata/InvoicesChina__4__metadata.json new file mode 100644 index 00000000..7990d6ae --- /dev/null +++ b/metadata/InvoicesChina__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/Invoices__12__metadata.json b/metadata/Invoices__12__metadata.json new file mode 100644 index 00000000..6d8993c2 --- /dev/null +++ b/metadata/Invoices__12__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] + } diff --git a/metadata/JapaneseInvoices__9__metadata.json b/metadata/JapaneseInvoices__9__metadata.json new file mode 100644 index 00000000..0e11cb7b --- /dev/null +++ b/metadata/JapaneseInvoices__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/Passports__5__metadata.json b/metadata/Passports__5__metadata.json new file mode 100644 index 00000000..d51d81b5 --- /dev/null +++ b/metadata/Passports__5__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/PurchaseOrders__11__metadata.json b/metadata/PurchaseOrders__11__metadata.json new file mode 100644 index 00000000..7e65c731 --- /dev/null +++ b/metadata/PurchaseOrders__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__12__metadata.json b/metadata/Receipts__12__metadata.json new file mode 100644 index 00000000..917cfa26 --- /dev/null +++ b/metadata/Receipts__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__4__metadata.json b/metadata/RemittanceAdvices__4__metadata.json new file mode 100644 index 00000000..9888691a --- /dev/null +++ b/metadata/RemittanceAdvices__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__3__metadata.json b/metadata/UiPathDocumentOCR_CPU__3__metadata.json new file mode 100644 index 00000000..007f6d0f --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__3__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.0", + "imagePath": "du-doc-ocr-cpu:22.10.0-sf", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__8__metadata.json b/metadata/UiPathDocumentOCR__8__metadata.json new file mode 100644 index 00000000..abd6b0f3 --- /dev/null +++ b/metadata/UiPathDocumentOCR__8__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "22.10.0", + "imagePath": "du-doc-ocr:22.10.0-sf", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__11__metadata.json b/metadata/UtilityBills__11__metadata.json new file mode 100644 index 00000000..18dd6431 --- /dev/null +++ b/metadata/UtilityBills__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/W2__4__metadata.json b/metadata/W2__4__metadata.json new file mode 100644 index 00000000..cf2963d6 --- /dev/null +++ b/metadata/W2__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__4__metadata.json b/metadata/W9__4__metadata.json new file mode 100644 index 00000000..cbd6a166 --- /dev/null +++ b/metadata/W9__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + "value": "w9" + } + ] +} From 0f9fe483e73cd2c87d9539442d956cac068610e2 Mon Sep 17 00:00:00 2001 From: "dumitru.bogdan" Date: Tue, 30 Aug 2022 15:04:46 +0300 Subject: [PATCH 129/267] metadata for all new models in 22.10 --- metadata/1040__1__metadata.json | 33 +++++++++++++++++++ metadata/4506T__3__metadata.json | 2 +- metadata/990__3__metadata.json | 2 +- metadata/Acord125__3__metadata.json | 2 +- metadata/Acord126__1__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__1__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__1__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__1__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__1__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__1__metadata.json | 32 ++++++++++++++++++ metadata/Checks__1__metadata.json | 32 ++++++++++++++++++ metadata/DeliveryNotes__4__metadata.json | 2 +- metadata/FM1003__3__metadata.json | 2 +- .../FinancialStatements__1__metadata.json | 32 ++++++++++++++++++ metadata/I9__3__metadata.json | 2 +- metadata/IDCards__5__metadata.json | 2 +- metadata/InvoicesChina__4__metadata.json | 2 +- metadata/JapaneseInvoices__9__metadata.json | 2 +- metadata/PackingLists__1__metadata.json | 32 ++++++++++++++++++ metadata/RemittanceAdvices__4__metadata.json | 2 +- metadata/UtilityBills__11__metadata.json | 2 +- metadata/VehicleTitles__1__metadata.json | 32 ++++++++++++++++++ metadata/W2__4__metadata.json | 2 +- metadata/W9__4__metadata.json | 3 +- 24 files changed, 370 insertions(+), 14 deletions(-) create mode 100644 metadata/1040__1__metadata.json create mode 100644 metadata/Acord126__1__metadata.json create mode 100644 metadata/Acord131__1__metadata.json create mode 100644 metadata/Acord140__1__metadata.json create mode 100644 metadata/Acord25__1__metadata.json create mode 100644 metadata/BankStatements__1__metadata.json create mode 100644 metadata/BillsOfLading__1__metadata.json create mode 100644 metadata/Checks__1__metadata.json create mode 100644 metadata/FinancialStatements__1__metadata.json create mode 100644 metadata/PackingLists__1__metadata.json create mode 100644 metadata/VehicleTitles__1__metadata.json diff --git a/metadata/1040__1__metadata.json b/metadata/1040__1__metadata.json new file mode 100644 index 00000000..967f90f1 --- /dev/null +++ b/metadata/1040__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__3__metadata.json b/metadata/4506T__3__metadata.json index 2d7dd04a..7384dd1b 100644 --- a/metadata/4506T__3__metadata.json +++ b/metadata/4506T__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__3__metadata.json b/metadata/990__3__metadata.json index aac50617..59394219 100644 --- a/metadata/990__3__metadata.json +++ b/metadata/990__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__3__metadata.json b/metadata/Acord125__3__metadata.json index 63bfc7c8..682afa87 100644 --- a/metadata/Acord125__3__metadata.json +++ b/metadata/Acord125__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__1__metadata.json b/metadata/Acord126__1__metadata.json new file mode 100644 index 00000000..00d9c53e --- /dev/null +++ b/metadata/Acord126__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__1__metadata.json b/metadata/Acord131__1__metadata.json new file mode 100644 index 00000000..5afa0cff --- /dev/null +++ b/metadata/Acord131__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__1__metadata.json b/metadata/Acord140__1__metadata.json new file mode 100644 index 00000000..3df7b254 --- /dev/null +++ b/metadata/Acord140__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__1__metadata.json b/metadata/Acord25__1__metadata.json new file mode 100644 index 00000000..cae77a1a --- /dev/null +++ b/metadata/Acord25__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__1__metadata.json b/metadata/BankStatements__1__metadata.json new file mode 100644 index 00000000..a70a465f --- /dev/null +++ b/metadata/BankStatements__1__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] + } diff --git a/metadata/BillsOfLading__1__metadata.json b/metadata/BillsOfLading__1__metadata.json new file mode 100644 index 00000000..9c5dc86b --- /dev/null +++ b/metadata/BillsOfLading__1__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] + } diff --git a/metadata/Checks__1__metadata.json b/metadata/Checks__1__metadata.json new file mode 100644 index 00000000..873a3b4c --- /dev/null +++ b/metadata/Checks__1__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] + } diff --git a/metadata/DeliveryNotes__4__metadata.json b/metadata/DeliveryNotes__4__metadata.json index fb3c017a..e8de6e06 100644 --- a/metadata/DeliveryNotes__4__metadata.json +++ b/metadata/DeliveryNotes__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/FM1003__3__metadata.json b/metadata/FM1003__3__metadata.json index 9d1d403f..f9cc2969 100644 --- a/metadata/FM1003__3__metadata.json +++ b/metadata/FM1003__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/FinancialStatements__1__metadata.json b/metadata/FinancialStatements__1__metadata.json new file mode 100644 index 00000000..137d6805 --- /dev/null +++ b/metadata/FinancialStatements__1__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] + } diff --git a/metadata/I9__3__metadata.json b/metadata/I9__3__metadata.json index e7aaf1d8..e9c65beb 100644 --- a/metadata/I9__3__metadata.json +++ b/metadata/I9__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/IDCards__5__metadata.json b/metadata/IDCards__5__metadata.json index 20f2d427..846b07ec 100644 --- a/metadata/IDCards__5__metadata.json +++ b/metadata/IDCards__5__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/InvoicesChina__4__metadata.json b/metadata/InvoicesChina__4__metadata.json index 7990d6ae..2f3739cd 100644 --- a/metadata/InvoicesChina__4__metadata.json +++ b/metadata/InvoicesChina__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__9__metadata.json b/metadata/JapaneseInvoices__9__metadata.json index 0e11cb7b..53054d23 100644 --- a/metadata/JapaneseInvoices__9__metadata.json +++ b/metadata/JapaneseInvoices__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/PackingLists__1__metadata.json b/metadata/PackingLists__1__metadata.json new file mode 100644 index 00000000..065b2888 --- /dev/null +++ b/metadata/PackingLists__1__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] + } diff --git a/metadata/RemittanceAdvices__4__metadata.json b/metadata/RemittanceAdvices__4__metadata.json index 9888691a..8e0f1ee6 100644 --- a/metadata/RemittanceAdvices__4__metadata.json +++ b/metadata/RemittanceAdvices__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__11__metadata.json b/metadata/UtilityBills__11__metadata.json index 18dd6431..dcf94173 100644 --- a/metadata/UtilityBills__11__metadata.json +++ b/metadata/UtilityBills__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/VehicleTitles__1__metadata.json b/metadata/VehicleTitles__1__metadata.json new file mode 100644 index 00000000..3cf72445 --- /dev/null +++ b/metadata/VehicleTitles__1__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] + } diff --git a/metadata/W2__4__metadata.json b/metadata/W2__4__metadata.json index cf2963d6..fb171cdb 100644 --- a/metadata/W2__4__metadata.json +++ b/metadata/W2__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__4__metadata.json b/metadata/W9__4__metadata.json index cbd6a166..ded79829 100644 --- a/metadata/W9__4__metadata.json +++ b/metadata/W9__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -28,7 +28,6 @@ "key": "package_type", "type": "STRING", "value": "w9" - "value": "w9" } ] } From 27dbb94a50a77ec5ea396b7153511b495439a52c Mon Sep 17 00:00:00 2001 From: "dumitru.bogdan" Date: Fri, 2 Sep 2022 16:04:00 +0300 Subject: [PATCH 130/267] removing delivery_notes as it's no longer available in 22.10, replaced by bills_of_lading --- metadata/DeliveryNotes__4__metadata.json | 33 ------------------------ 1 file changed, 33 deletions(-) delete mode 100644 metadata/DeliveryNotes__4__metadata.json diff --git a/metadata/DeliveryNotes__4__metadata.json b/metadata/DeliveryNotes__4__metadata.json deleted file mode 100644 index e8de6e06..00000000 --- a/metadata/DeliveryNotes__4__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "DeliveryNotes", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "DeliveryNotes", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "delivery_notes" - } - ] -} From 4320e942167fa966ab70d07876c7a6a7ae3b433d Mon Sep 17 00:00:00 2001 From: "dumitru.bogdan" Date: Fri, 9 Sep 2022 19:25:28 +0300 Subject: [PATCH 131/267] updated metadata as per latest https://github.com/UiPath/service-fabric-packaging/pull/4877/files --- metadata/1040__1__metadata.json | 2 +- metadata/4506T__3__metadata.json | 2 +- metadata/990__3__metadata.json | 2 +- metadata/Acord125__3__metadata.json | 2 +- metadata/Acord126__1__metadata.json | 2 +- metadata/Acord131__1__metadata.json | 2 +- metadata/Acord140__1__metadata.json | 2 +- metadata/Acord25__1__metadata.json | 2 +- metadata/AustralianInvoices__11__metadata.json | 2 +- metadata/BankStatements__1__metadata.json | 2 +- metadata/BillsOfLading__1__metadata.json | 2 +- metadata/Checks__1__metadata.json | 2 +- metadata/DocumentClassifier__6__metadata.json | 2 +- metadata/DocumentUnderstanding__12__metadata.json | 2 +- metadata/FM1003__3__metadata.json | 2 +- metadata/FinancialStatements__1__metadata.json | 2 +- metadata/I9__3__metadata.json | 2 +- metadata/IDCards__5__metadata.json | 2 +- metadata/IndianInvoices__11__metadata.json | 2 +- metadata/InvoicesChina__4__metadata.json | 2 +- metadata/Invoices__12__metadata.json | 2 +- metadata/JapaneseInvoices__9__metadata.json | 2 +- metadata/PackingLists__1__metadata.json | 2 +- metadata/Passports__5__metadata.json | 2 +- metadata/PurchaseOrders__11__metadata.json | 2 +- metadata/Receipts__12__metadata.json | 2 +- metadata/RemittanceAdvices__4__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__3__metadata.json | 2 +- metadata/UiPathDocumentOCR__8__metadata.json | 2 +- metadata/UtilityBills__11__metadata.json | 2 +- metadata/VehicleTitles__1__metadata.json | 2 +- metadata/W2__4__metadata.json | 2 +- metadata/W9__4__metadata.json | 2 +- 33 files changed, 33 insertions(+), 33 deletions(-) diff --git a/metadata/1040__1__metadata.json b/metadata/1040__1__metadata.json index 967f90f1..b932f411 100644 --- a/metadata/1040__1__metadata.json +++ b/metadata/1040__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__3__metadata.json b/metadata/4506T__3__metadata.json index 7384dd1b..2c9fde52 100644 --- a/metadata/4506T__3__metadata.json +++ b/metadata/4506T__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__3__metadata.json b/metadata/990__3__metadata.json index 59394219..32312d93 100644 --- a/metadata/990__3__metadata.json +++ b/metadata/990__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__3__metadata.json b/metadata/Acord125__3__metadata.json index 682afa87..2871b601 100644 --- a/metadata/Acord125__3__metadata.json +++ b/metadata/Acord125__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__1__metadata.json b/metadata/Acord126__1__metadata.json index 00d9c53e..82ca929a 100644 --- a/metadata/Acord126__1__metadata.json +++ b/metadata/Acord126__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__1__metadata.json b/metadata/Acord131__1__metadata.json index 5afa0cff..b127e172 100644 --- a/metadata/Acord131__1__metadata.json +++ b/metadata/Acord131__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__1__metadata.json b/metadata/Acord140__1__metadata.json index 3df7b254..f258c72d 100644 --- a/metadata/Acord140__1__metadata.json +++ b/metadata/Acord140__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__1__metadata.json b/metadata/Acord25__1__metadata.json index cae77a1a..cafd576e 100644 --- a/metadata/Acord25__1__metadata.json +++ b/metadata/Acord25__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__11__metadata.json b/metadata/AustralianInvoices__11__metadata.json index 226d6d85..ff69e933 100644 --- a/metadata/AustralianInvoices__11__metadata.json +++ b/metadata/AustralianInvoices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__1__metadata.json b/metadata/BankStatements__1__metadata.json index a70a465f..975853bc 100644 --- a/metadata/BankStatements__1__metadata.json +++ b/metadata/BankStatements__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__1__metadata.json b/metadata/BillsOfLading__1__metadata.json index 9c5dc86b..1977e29f 100644 --- a/metadata/BillsOfLading__1__metadata.json +++ b/metadata/BillsOfLading__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__1__metadata.json b/metadata/Checks__1__metadata.json index 873a3b4c..eb049450 100644 --- a/metadata/Checks__1__metadata.json +++ b/metadata/Checks__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__6__metadata.json b/metadata/DocumentClassifier__6__metadata.json index 575d0226..d1e9a724 100644 --- a/metadata/DocumentClassifier__6__metadata.json +++ b/metadata/DocumentClassifier__6__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 6, "customVersion": "22.10.0", - "imagePath": "du-classifier:22.10.0-sf", + "imagePath": "du-classifier:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__12__metadata.json b/metadata/DocumentUnderstanding__12__metadata.json index ae663c4d..0d08c536 100644 --- a/metadata/DocumentUnderstanding__12__metadata.json +++ b/metadata/DocumentUnderstanding__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__3__metadata.json b/metadata/FM1003__3__metadata.json index f9cc2969..892935b6 100644 --- a/metadata/FM1003__3__metadata.json +++ b/metadata/FM1003__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__1__metadata.json b/metadata/FinancialStatements__1__metadata.json index 137d6805..2d7bed74 100644 --- a/metadata/FinancialStatements__1__metadata.json +++ b/metadata/FinancialStatements__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__3__metadata.json b/metadata/I9__3__metadata.json index e9c65beb..338a5137 100644 --- a/metadata/I9__3__metadata.json +++ b/metadata/I9__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__5__metadata.json b/metadata/IDCards__5__metadata.json index 846b07ec..dfd7f3c4 100644 --- a/metadata/IDCards__5__metadata.json +++ b/metadata/IDCards__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__11__metadata.json b/metadata/IndianInvoices__11__metadata.json index 185d0141..2aac9bf9 100644 --- a/metadata/IndianInvoices__11__metadata.json +++ b/metadata/IndianInvoices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__4__metadata.json b/metadata/InvoicesChina__4__metadata.json index 2f3739cd..92527d15 100644 --- a/metadata/InvoicesChina__4__metadata.json +++ b/metadata/InvoicesChina__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__12__metadata.json b/metadata/Invoices__12__metadata.json index 6d8993c2..257e1781 100644 --- a/metadata/Invoices__12__metadata.json +++ b/metadata/Invoices__12__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__9__metadata.json b/metadata/JapaneseInvoices__9__metadata.json index 53054d23..f5d9f37a 100644 --- a/metadata/JapaneseInvoices__9__metadata.json +++ b/metadata/JapaneseInvoices__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__1__metadata.json b/metadata/PackingLists__1__metadata.json index 065b2888..ec5bf605 100644 --- a/metadata/PackingLists__1__metadata.json +++ b/metadata/PackingLists__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__5__metadata.json b/metadata/Passports__5__metadata.json index d51d81b5..bb52f22f 100644 --- a/metadata/Passports__5__metadata.json +++ b/metadata/Passports__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__11__metadata.json b/metadata/PurchaseOrders__11__metadata.json index 7e65c731..0d58849a 100644 --- a/metadata/PurchaseOrders__11__metadata.json +++ b/metadata/PurchaseOrders__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__12__metadata.json b/metadata/Receipts__12__metadata.json index 917cfa26..d13445ae 100644 --- a/metadata/Receipts__12__metadata.json +++ b/metadata/Receipts__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__4__metadata.json b/metadata/RemittanceAdvices__4__metadata.json index 8e0f1ee6..b7a78725 100644 --- a/metadata/RemittanceAdvices__4__metadata.json +++ b/metadata/RemittanceAdvices__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__3__metadata.json b/metadata/UiPathDocumentOCR_CPU__3__metadata.json index 007f6d0f..dfa5b15e 100644 --- a/metadata/UiPathDocumentOCR_CPU__3__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__3__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-doc-ocr-cpu:22.10.0-sf", + "imagePath": "du-doc-ocr-cpu:22.10.0-sf-rc4", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__8__metadata.json b/metadata/UiPathDocumentOCR__8__metadata.json index abd6b0f3..41ccf93b 100644 --- a/metadata/UiPathDocumentOCR__8__metadata.json +++ b/metadata/UiPathDocumentOCR__8__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 8, "customVersion": "22.10.0", - "imagePath": "du-doc-ocr:22.10.0-sf", + "imagePath": "du-doc-ocr:22.10.0-sf-rc4", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__11__metadata.json b/metadata/UtilityBills__11__metadata.json index dcf94173..909ace2c 100644 --- a/metadata/UtilityBills__11__metadata.json +++ b/metadata/UtilityBills__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__1__metadata.json b/metadata/VehicleTitles__1__metadata.json index 3cf72445..22cd0d8b 100644 --- a/metadata/VehicleTitles__1__metadata.json +++ b/metadata/VehicleTitles__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__4__metadata.json b/metadata/W2__4__metadata.json index fb171cdb..e13461c6 100644 --- a/metadata/W2__4__metadata.json +++ b/metadata/W2__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__4__metadata.json b/metadata/W9__4__metadata.json index ded79829..ea658dd6 100644 --- a/metadata/W9__4__metadata.json +++ b/metadata/W9__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf", + "imagePath": "du-semistructured:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 4f4fc20e20b7974c8017280d8e8a3e7e0ae4186d Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Thu, 8 Sep 2022 11:37:39 +0300 Subject: [PATCH 132/267] Add signature comparison --- .../SignatureComparison__1__metadata.json | 24 +++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/SignatureComparison__1__metadata.json diff --git a/metadata/SignatureComparison__1__metadata.json b/metadata/SignatureComparison__1__metadata.json new file mode 100644 index 00000000..cc1e8495 --- /dev/null +++ b/metadata/SignatureComparison__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "SignatureComparison", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "The UiPath signature comparison model is used to determine the similarity between a pair of signature and suggest if the signatures are from the same author.", + "inputDescription": "A pair of signature images in a list. Files formats accepted are png, and jpeg.", + "outputDescription": "Similarity score (between 0 and 1) and a preliminary determination if the signatures are from the same author or different authors based on a defined threshold in a Json format.", + "changeLog": "", + "cpu": 1, + "inputType": "FILE_LIST", + "displayName": "SignatureComparison", + "memory": 0, + "mlPackageLanguage": "PYTHON38_OPENCV", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Image Analysis", + "projectDescription": "Curated Models from UiPath to analyze images", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.10.0", + "contentUri": "https:///publicmodels/AIC/SignatureComparison/22.10.0/signature_comparison_package.zip" +} From bf008548b1c56eac3d76d52b20672a0308482610 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Wed, 21 Sep 2022 11:20:53 +0300 Subject: [PATCH 133/267] Rename ML Classifier image --- metadata/DocumentClassifier__6__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/DocumentClassifier__6__metadata.json b/metadata/DocumentClassifier__6__metadata.json index d1e9a724..29d4e2cd 100644 --- a/metadata/DocumentClassifier__6__metadata.json +++ b/metadata/DocumentClassifier__6__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 6, "customVersion": "22.10.0", - "imagePath": "du-classifier:22.10.0-sf-rc1", + "imagePath": "du-ml-document-type-text-classifier:22.10.0-sf-rc1", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } From 4e34dbab14597839ecf4b03d876960bc9ce9939b Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Mon, 26 Sep 2022 10:42:56 +0300 Subject: [PATCH 134/267] Change semistructured base image to rc2 --- metadata/1040__1__metadata.json | 2 +- metadata/4506T__3__metadata.json | 2 +- metadata/990__3__metadata.json | 2 +- metadata/Acord125__3__metadata.json | 2 +- metadata/Acord126__1__metadata.json | 2 +- metadata/Acord131__1__metadata.json | 2 +- metadata/Acord140__1__metadata.json | 2 +- metadata/Acord25__1__metadata.json | 2 +- metadata/AustralianInvoices__11__metadata.json | 2 +- metadata/BankStatements__1__metadata.json | 2 +- metadata/BillsOfLading__1__metadata.json | 2 +- metadata/Checks__1__metadata.json | 2 +- metadata/DocumentClassifier__6__metadata.json | 2 +- metadata/DocumentUnderstanding__12__metadata.json | 2 +- metadata/FM1003__3__metadata.json | 2 +- metadata/FinancialStatements__1__metadata.json | 2 +- metadata/I9__3__metadata.json | 2 +- metadata/IDCards__5__metadata.json | 2 +- metadata/IndianInvoices__11__metadata.json | 2 +- metadata/InvoicesChina__4__metadata.json | 2 +- metadata/Invoices__12__metadata.json | 2 +- metadata/JapaneseInvoices__9__metadata.json | 2 +- metadata/PackingLists__1__metadata.json | 2 +- metadata/Passports__5__metadata.json | 2 +- metadata/PurchaseOrders__11__metadata.json | 2 +- metadata/Receipts__12__metadata.json | 2 +- metadata/RemittanceAdvices__4__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__3__metadata.json | 2 +- metadata/UiPathDocumentOCR__8__metadata.json | 2 +- metadata/UtilityBills__11__metadata.json | 2 +- metadata/VehicleTitles__1__metadata.json | 2 +- metadata/W2__4__metadata.json | 2 +- metadata/W9__4__metadata.json | 2 +- 33 files changed, 33 insertions(+), 33 deletions(-) diff --git a/metadata/1040__1__metadata.json b/metadata/1040__1__metadata.json index b932f411..74dc5218 100644 --- a/metadata/1040__1__metadata.json +++ b/metadata/1040__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__3__metadata.json b/metadata/4506T__3__metadata.json index 2c9fde52..4b8b0799 100644 --- a/metadata/4506T__3__metadata.json +++ b/metadata/4506T__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__3__metadata.json b/metadata/990__3__metadata.json index 32312d93..7008ce78 100644 --- a/metadata/990__3__metadata.json +++ b/metadata/990__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__3__metadata.json b/metadata/Acord125__3__metadata.json index 2871b601..c6528e01 100644 --- a/metadata/Acord125__3__metadata.json +++ b/metadata/Acord125__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__1__metadata.json b/metadata/Acord126__1__metadata.json index 82ca929a..975f6d42 100644 --- a/metadata/Acord126__1__metadata.json +++ b/metadata/Acord126__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__1__metadata.json b/metadata/Acord131__1__metadata.json index b127e172..3762b470 100644 --- a/metadata/Acord131__1__metadata.json +++ b/metadata/Acord131__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__1__metadata.json b/metadata/Acord140__1__metadata.json index f258c72d..b646e17f 100644 --- a/metadata/Acord140__1__metadata.json +++ b/metadata/Acord140__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__1__metadata.json b/metadata/Acord25__1__metadata.json index cafd576e..ae25820f 100644 --- a/metadata/Acord25__1__metadata.json +++ b/metadata/Acord25__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__11__metadata.json b/metadata/AustralianInvoices__11__metadata.json index ff69e933..a795c29b 100644 --- a/metadata/AustralianInvoices__11__metadata.json +++ b/metadata/AustralianInvoices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__1__metadata.json b/metadata/BankStatements__1__metadata.json index 975853bc..0b755343 100644 --- a/metadata/BankStatements__1__metadata.json +++ b/metadata/BankStatements__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__1__metadata.json b/metadata/BillsOfLading__1__metadata.json index 1977e29f..7a602aa4 100644 --- a/metadata/BillsOfLading__1__metadata.json +++ b/metadata/BillsOfLading__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__1__metadata.json b/metadata/Checks__1__metadata.json index eb049450..ca6e530d 100644 --- a/metadata/Checks__1__metadata.json +++ b/metadata/Checks__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__6__metadata.json b/metadata/DocumentClassifier__6__metadata.json index 29d4e2cd..6bf3e4d1 100644 --- a/metadata/DocumentClassifier__6__metadata.json +++ b/metadata/DocumentClassifier__6__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 6, "customVersion": "22.10.0", - "imagePath": "du-ml-document-type-text-classifier:22.10.0-sf-rc1", + "imagePath": "du-ml-document-type-text-classifier:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__12__metadata.json b/metadata/DocumentUnderstanding__12__metadata.json index 0d08c536..44e7c3a6 100644 --- a/metadata/DocumentUnderstanding__12__metadata.json +++ b/metadata/DocumentUnderstanding__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__3__metadata.json b/metadata/FM1003__3__metadata.json index 892935b6..d89d714c 100644 --- a/metadata/FM1003__3__metadata.json +++ b/metadata/FM1003__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__1__metadata.json b/metadata/FinancialStatements__1__metadata.json index 2d7bed74..12539fbf 100644 --- a/metadata/FinancialStatements__1__metadata.json +++ b/metadata/FinancialStatements__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__3__metadata.json b/metadata/I9__3__metadata.json index 338a5137..1eb44865 100644 --- a/metadata/I9__3__metadata.json +++ b/metadata/I9__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__5__metadata.json b/metadata/IDCards__5__metadata.json index dfd7f3c4..18c1b372 100644 --- a/metadata/IDCards__5__metadata.json +++ b/metadata/IDCards__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__11__metadata.json b/metadata/IndianInvoices__11__metadata.json index 2aac9bf9..700ff5e5 100644 --- a/metadata/IndianInvoices__11__metadata.json +++ b/metadata/IndianInvoices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__4__metadata.json b/metadata/InvoicesChina__4__metadata.json index 92527d15..ceb349b9 100644 --- a/metadata/InvoicesChina__4__metadata.json +++ b/metadata/InvoicesChina__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__12__metadata.json b/metadata/Invoices__12__metadata.json index 257e1781..ab1ceedb 100644 --- a/metadata/Invoices__12__metadata.json +++ b/metadata/Invoices__12__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__9__metadata.json b/metadata/JapaneseInvoices__9__metadata.json index f5d9f37a..6fedd5c8 100644 --- a/metadata/JapaneseInvoices__9__metadata.json +++ b/metadata/JapaneseInvoices__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__1__metadata.json b/metadata/PackingLists__1__metadata.json index ec5bf605..93731627 100644 --- a/metadata/PackingLists__1__metadata.json +++ b/metadata/PackingLists__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__5__metadata.json b/metadata/Passports__5__metadata.json index bb52f22f..786e0d2d 100644 --- a/metadata/Passports__5__metadata.json +++ b/metadata/Passports__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__11__metadata.json b/metadata/PurchaseOrders__11__metadata.json index 0d58849a..00010827 100644 --- a/metadata/PurchaseOrders__11__metadata.json +++ b/metadata/PurchaseOrders__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__12__metadata.json b/metadata/Receipts__12__metadata.json index d13445ae..a17cab05 100644 --- a/metadata/Receipts__12__metadata.json +++ b/metadata/Receipts__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__4__metadata.json b/metadata/RemittanceAdvices__4__metadata.json index b7a78725..10c56534 100644 --- a/metadata/RemittanceAdvices__4__metadata.json +++ b/metadata/RemittanceAdvices__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__3__metadata.json b/metadata/UiPathDocumentOCR_CPU__3__metadata.json index dfa5b15e..1bcb26bf 100644 --- a/metadata/UiPathDocumentOCR_CPU__3__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__3__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.0", - "imagePath": "du-doc-ocr-cpu:22.10.0-sf-rc4", + "imagePath": "du-doc-ocr-cpu:22.10.0-sf-rc5", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__8__metadata.json b/metadata/UiPathDocumentOCR__8__metadata.json index 41ccf93b..d8d58fe9 100644 --- a/metadata/UiPathDocumentOCR__8__metadata.json +++ b/metadata/UiPathDocumentOCR__8__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 8, "customVersion": "22.10.0", - "imagePath": "du-doc-ocr:22.10.0-sf-rc4", + "imagePath": "du-doc-ocr:22.10.0-sf-rc5", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__11__metadata.json b/metadata/UtilityBills__11__metadata.json index 909ace2c..876a8fb0 100644 --- a/metadata/UtilityBills__11__metadata.json +++ b/metadata/UtilityBills__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__1__metadata.json b/metadata/VehicleTitles__1__metadata.json index 22cd0d8b..e1f6b104 100644 --- a/metadata/VehicleTitles__1__metadata.json +++ b/metadata/VehicleTitles__1__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__4__metadata.json b/metadata/W2__4__metadata.json index e13461c6..67379c81 100644 --- a/metadata/W2__4__metadata.json +++ b/metadata/W2__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__4__metadata.json b/metadata/W9__4__metadata.json index ea658dd6..dfab0164 100644 --- a/metadata/W9__4__metadata.json +++ b/metadata/W9__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc1", + "imagePath": "du-semistructured:22.10.0-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From ab4f5ab022da3726e86c3af166dd4feb538c353b Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 11 Oct 2022 10:05:06 +0300 Subject: [PATCH 135/267] Update imagePath for semistructured --- metadata/1040__1__metadata.json | 4 +-- metadata/4506T__3__metadata.json | 4 +-- metadata/990__3__metadata.json | 14 +++++----- metadata/Acord125__3__metadata.json | 14 +++++----- metadata/Acord126__1__metadata.json | 14 +++++----- metadata/Acord131__1__metadata.json | 14 +++++----- metadata/Acord140__1__metadata.json | 14 +++++----- metadata/Acord25__1__metadata.json | 14 +++++----- .../AustralianInvoices__11__metadata.json | 14 +++++----- metadata/BankStatements__1__metadata.json | 14 +++++----- metadata/BillsOfLading__1__metadata.json | 14 +++++----- metadata/Checks__1__metadata.json | 14 +++++----- .../DocumentUnderstanding__12__metadata.json | 14 +++++----- metadata/FM1003__3__metadata.json | 14 +++++----- .../FinancialStatements__1__metadata.json | 14 +++++----- metadata/I9__3__metadata.json | 14 +++++----- metadata/IDCards__5__metadata.json | 12 ++++----- metadata/IndianInvoices__11__metadata.json | 26 +++++++++---------- metadata/InvoicesChina__4__metadata.json | 26 +++++++++---------- metadata/Invoices__12__metadata.json | 14 +++++----- metadata/JapaneseInvoices__9__metadata.json | 26 +++++++++---------- metadata/PackingLists__1__metadata.json | 14 +++++----- metadata/Passports__5__metadata.json | 12 ++++----- metadata/PurchaseOrders__11__metadata.json | 26 +++++++++---------- metadata/Receipts__12__metadata.json | 26 +++++++++---------- metadata/RemittanceAdvices__4__metadata.json | 26 +++++++++---------- metadata/UtilityBills__11__metadata.json | 26 +++++++++---------- metadata/VehicleTitles__1__metadata.json | 14 +++++----- metadata/W2__4__metadata.json | 26 +++++++++---------- metadata/W9__4__metadata.json | 26 +++++++++---------- 30 files changed, 252 insertions(+), 252 deletions(-) diff --git a/metadata/1040__1__metadata.json b/metadata/1040__1__metadata.json index 74dc5218..1743da33 100644 --- a/metadata/1040__1__metadata.json +++ b/metadata/1040__1__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__3__metadata.json b/metadata/4506T__3__metadata.json index 4b8b0799..8a7c37aa 100644 --- a/metadata/4506T__3__metadata.json +++ b/metadata/4506T__3__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 3, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__3__metadata.json b/metadata/990__3__metadata.json index 7008ce78..c2c069a6 100644 --- a/metadata/990__3__metadata.json +++ b/metadata/990__3__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 3, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "990" - } + { + "key": "package_type", + "type": "STRING", + "value": "990" + } ] } diff --git a/metadata/Acord125__3__metadata.json b/metadata/Acord125__3__metadata.json index c6528e01..0c67e31a 100644 --- a/metadata/Acord125__3__metadata.json +++ b/metadata/Acord125__3__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 3, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } ] } diff --git a/metadata/Acord126__1__metadata.json b/metadata/Acord126__1__metadata.json index 975f6d42..b37e7b6e 100644 --- a/metadata/Acord126__1__metadata.json +++ b/metadata/Acord126__1__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } ] } diff --git a/metadata/Acord131__1__metadata.json b/metadata/Acord131__1__metadata.json index 3762b470..cb1c2feb 100644 --- a/metadata/Acord131__1__metadata.json +++ b/metadata/Acord131__1__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord131" - } + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } ] } diff --git a/metadata/Acord140__1__metadata.json b/metadata/Acord140__1__metadata.json index b646e17f..b4876be3 100644 --- a/metadata/Acord140__1__metadata.json +++ b/metadata/Acord140__1__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } ] } diff --git a/metadata/Acord25__1__metadata.json b/metadata/Acord25__1__metadata.json index ae25820f..8b3bb33a 100644 --- a/metadata/Acord25__1__metadata.json +++ b/metadata/Acord25__1__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } ] } diff --git a/metadata/AustralianInvoices__11__metadata.json b/metadata/AustralianInvoices__11__metadata.json index a795c29b..0b1dc615 100644 --- a/metadata/AustralianInvoices__11__metadata.json +++ b/metadata/AustralianInvoices__11__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 11, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } ] } diff --git a/metadata/BankStatements__1__metadata.json b/metadata/BankStatements__1__metadata.json index 0b755343..3a4eba05 100644 --- a/metadata/BankStatements__1__metadata.json +++ b/metadata/BankStatements__1__metadata.json @@ -20,13 +20,13 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } ] - } +} diff --git a/metadata/BillsOfLading__1__metadata.json b/metadata/BillsOfLading__1__metadata.json index 7a602aa4..ed4e8976 100644 --- a/metadata/BillsOfLading__1__metadata.json +++ b/metadata/BillsOfLading__1__metadata.json @@ -20,13 +20,13 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } ] - } +} diff --git a/metadata/Checks__1__metadata.json b/metadata/Checks__1__metadata.json index ca6e530d..3736ba21 100644 --- a/metadata/Checks__1__metadata.json +++ b/metadata/Checks__1__metadata.json @@ -20,13 +20,13 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } ] - } +} diff --git a/metadata/DocumentUnderstanding__12__metadata.json b/metadata/DocumentUnderstanding__12__metadata.json index 44e7c3a6..72b03fe1 100644 --- a/metadata/DocumentUnderstanding__12__metadata.json +++ b/metadata/DocumentUnderstanding__12__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "du" - } + { + "key": "package_type", + "type": "STRING", + "value": "du" + } ] } diff --git a/metadata/FM1003__3__metadata.json b/metadata/FM1003__3__metadata.json index d89d714c..22d04c99 100644 --- a/metadata/FM1003__3__metadata.json +++ b/metadata/FM1003__3__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 3, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } ] } diff --git a/metadata/FinancialStatements__1__metadata.json b/metadata/FinancialStatements__1__metadata.json index 12539fbf..3ced5ce3 100644 --- a/metadata/FinancialStatements__1__metadata.json +++ b/metadata/FinancialStatements__1__metadata.json @@ -20,13 +20,13 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } ] - } +} diff --git a/metadata/I9__3__metadata.json b/metadata/I9__3__metadata.json index 1eb44865..0dcb0d7b 100644 --- a/metadata/I9__3__metadata.json +++ b/metadata/I9__3__metadata.json @@ -20,14 +20,14 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 3, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } ] } diff --git a/metadata/IDCards__5__metadata.json b/metadata/IDCards__5__metadata.json index 18c1b372..9c1bf801 100644 --- a/metadata/IDCards__5__metadata.json +++ b/metadata/IDCards__5__metadata.json @@ -21,13 +21,13 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } ] } diff --git a/metadata/IndianInvoices__11__metadata.json b/metadata/IndianInvoices__11__metadata.json index 700ff5e5..19a1c4c0 100644 --- a/metadata/IndianInvoices__11__metadata.json +++ b/metadata/IndianInvoices__11__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] } diff --git a/metadata/InvoicesChina__4__metadata.json b/metadata/InvoicesChina__4__metadata.json index ceb349b9..501ea16a 100644 --- a/metadata/InvoicesChina__4__metadata.json +++ b/metadata/InvoicesChina__4__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] } diff --git a/metadata/Invoices__12__metadata.json b/metadata/Invoices__12__metadata.json index ab1ceedb..01d68c7d 100644 --- a/metadata/Invoices__12__metadata.json +++ b/metadata/Invoices__12__metadata.json @@ -20,13 +20,13 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } ] - } +} diff --git a/metadata/JapaneseInvoices__9__metadata.json b/metadata/JapaneseInvoices__9__metadata.json index 6fedd5c8..69168764 100644 --- a/metadata/JapaneseInvoices__9__metadata.json +++ b/metadata/JapaneseInvoices__9__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] } diff --git a/metadata/PackingLists__1__metadata.json b/metadata/PackingLists__1__metadata.json index 93731627..de8bfcd3 100644 --- a/metadata/PackingLists__1__metadata.json +++ b/metadata/PackingLists__1__metadata.json @@ -20,13 +20,13 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } ] - } +} diff --git a/metadata/Passports__5__metadata.json b/metadata/Passports__5__metadata.json index 786e0d2d..0db5dbbb 100644 --- a/metadata/Passports__5__metadata.json +++ b/metadata/Passports__5__metadata.json @@ -21,13 +21,13 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } ] } diff --git a/metadata/PurchaseOrders__11__metadata.json b/metadata/PurchaseOrders__11__metadata.json index 00010827..1425fa53 100644 --- a/metadata/PurchaseOrders__11__metadata.json +++ b/metadata/PurchaseOrders__11__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "purchase_orders" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] } diff --git a/metadata/Receipts__12__metadata.json b/metadata/Receipts__12__metadata.json index a17cab05..debb9d02 100644 --- a/metadata/Receipts__12__metadata.json +++ b/metadata/Receipts__12__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] } diff --git a/metadata/RemittanceAdvices__4__metadata.json b/metadata/RemittanceAdvices__4__metadata.json index 10c56534..e6a555a4 100644 --- a/metadata/RemittanceAdvices__4__metadata.json +++ b/metadata/RemittanceAdvices__4__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] } diff --git a/metadata/UtilityBills__11__metadata.json b/metadata/UtilityBills__11__metadata.json index 876a8fb0..fc8be821 100644 --- a/metadata/UtilityBills__11__metadata.json +++ b/metadata/UtilityBills__11__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] } diff --git a/metadata/VehicleTitles__1__metadata.json b/metadata/VehicleTitles__1__metadata.json index e1f6b104..81377d0e 100644 --- a/metadata/VehicleTitles__1__metadata.json +++ b/metadata/VehicleTitles__1__metadata.json @@ -20,13 +20,13 @@ "languageVersion": 4, "version": 1, "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", + "imagePath": "du-semistructured:22.10.0-sf-rc3", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } ] - } +} diff --git a/metadata/W2__4__metadata.json b/metadata/W2__4__metadata.json index 67379c81..848efd01 100644 --- a/metadata/W2__4__metadata.json +++ b/metadata/W2__4__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] } diff --git a/metadata/W9__4__metadata.json b/metadata/W9__4__metadata.json index dfab0164..1aaf0c39 100644 --- a/metadata/W9__4__metadata.json +++ b/metadata/W9__4__metadata.json @@ -17,17 +17,17 @@ "projectName": "UiPath Document Understanding", "projectDescription": "UiPath models to classify and extract information from images and pdfs.", "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.0", + "imagePath": "du-semistructured:22.10.0-sf-rc3", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] } From b8a805c3b533e73e4ea754932e19568516ff119d Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Tue, 10 Jan 2023 11:49:28 +0200 Subject: [PATCH 136/267] Metadata for 22.10.2 SF --- metadata/1040__2__metadata.json | 33 +++++++++++++++++++ metadata/4506T__4__metadata.json | 33 +++++++++++++++++++ metadata/990__4__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__4__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__2__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__2__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__2__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__2__metadata.json | 33 +++++++++++++++++++ .../AustralianInvoices__12__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__2__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__2__metadata.json | 32 ++++++++++++++++++ metadata/Checks__2__metadata.json | 32 ++++++++++++++++++ metadata/DocumentClassifier__7__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__13__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__4__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__2__metadata.json | 32 ++++++++++++++++++ metadata/I9__4__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__6__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__12__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__5__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__13__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__10__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__2__metadata.json | 32 ++++++++++++++++++ metadata/Passports__6__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__12__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__13__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__5__metadata.json | 33 +++++++++++++++++++ metadata/UtilityBills__12__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__2__metadata.json | 32 ++++++++++++++++++ metadata/W2__5__metadata.json | 33 +++++++++++++++++++ metadata/W9__5__metadata.json | 33 +++++++++++++++++++ 31 files changed, 1009 insertions(+) create mode 100644 metadata/1040__2__metadata.json create mode 100644 metadata/4506T__4__metadata.json create mode 100644 metadata/990__4__metadata.json create mode 100644 metadata/Acord125__4__metadata.json create mode 100644 metadata/Acord126__2__metadata.json create mode 100644 metadata/Acord131__2__metadata.json create mode 100644 metadata/Acord140__2__metadata.json create mode 100644 metadata/Acord25__2__metadata.json create mode 100644 metadata/AustralianInvoices__12__metadata.json create mode 100644 metadata/BankStatements__2__metadata.json create mode 100644 metadata/BillsOfLading__2__metadata.json create mode 100644 metadata/Checks__2__metadata.json create mode 100644 metadata/DocumentClassifier__7__metadata.json create mode 100644 metadata/DocumentUnderstanding__13__metadata.json create mode 100644 metadata/FM1003__4__metadata.json create mode 100644 metadata/FinancialStatements__2__metadata.json create mode 100644 metadata/I9__4__metadata.json create mode 100644 metadata/IDCards__6__metadata.json create mode 100644 metadata/IndianInvoices__12__metadata.json create mode 100644 metadata/InvoicesChina__5__metadata.json create mode 100644 metadata/Invoices__13__metadata.json create mode 100644 metadata/JapaneseInvoices__10__metadata.json create mode 100644 metadata/PackingLists__2__metadata.json create mode 100644 metadata/Passports__6__metadata.json create mode 100644 metadata/PurchaseOrders__12__metadata.json create mode 100644 metadata/Receipts__13__metadata.json create mode 100644 metadata/RemittanceAdvices__5__metadata.json create mode 100644 metadata/UtilityBills__12__metadata.json create mode 100644 metadata/VehicleTitles__2__metadata.json create mode 100644 metadata/W2__5__metadata.json create mode 100644 metadata/W9__5__metadata.json diff --git a/metadata/1040__2__metadata.json b/metadata/1040__2__metadata.json new file mode 100644 index 00000000..a63a276a --- /dev/null +++ b/metadata/1040__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__4__metadata.json b/metadata/4506T__4__metadata.json new file mode 100644 index 00000000..b4768e50 --- /dev/null +++ b/metadata/4506T__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/990__4__metadata.json b/metadata/990__4__metadata.json new file mode 100644 index 00000000..73251f23 --- /dev/null +++ b/metadata/990__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__4__metadata.json b/metadata/Acord125__4__metadata.json new file mode 100644 index 00000000..90688ef8 --- /dev/null +++ b/metadata/Acord125__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__2__metadata.json b/metadata/Acord126__2__metadata.json new file mode 100644 index 00000000..7108b44b --- /dev/null +++ b/metadata/Acord126__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__2__metadata.json b/metadata/Acord131__2__metadata.json new file mode 100644 index 00000000..33cf677f --- /dev/null +++ b/metadata/Acord131__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__2__metadata.json b/metadata/Acord140__2__metadata.json new file mode 100644 index 00000000..9ca8c863 --- /dev/null +++ b/metadata/Acord140__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__2__metadata.json b/metadata/Acord25__2__metadata.json new file mode 100644 index 00000000..3f7aa4fc --- /dev/null +++ b/metadata/Acord25__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/AustralianInvoices__12__metadata.json b/metadata/AustralianInvoices__12__metadata.json new file mode 100644 index 00000000..1e8d0c37 --- /dev/null +++ b/metadata/AustralianInvoices__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/BankStatements__2__metadata.json b/metadata/BankStatements__2__metadata.json new file mode 100644 index 00000000..acf8d59a --- /dev/null +++ b/metadata/BankStatements__2__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__2__metadata.json b/metadata/BillsOfLading__2__metadata.json new file mode 100644 index 00000000..f3b6527c --- /dev/null +++ b/metadata/BillsOfLading__2__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/Checks__2__metadata.json b/metadata/Checks__2__metadata.json new file mode 100644 index 00000000..5ddff698 --- /dev/null +++ b/metadata/Checks__2__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/DocumentClassifier__7__metadata.json b/metadata/DocumentClassifier__7__metadata.json new file mode 100644 index 00000000..e32a43d2 --- /dev/null +++ b/metadata/DocumentClassifier__7__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "22.10.2", + "imagePath": "du-ml-document-type-text-classifier:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__13__metadata.json b/metadata/DocumentUnderstanding__13__metadata.json new file mode 100644 index 00000000..0c01d094 --- /dev/null +++ b/metadata/DocumentUnderstanding__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/FM1003__4__metadata.json b/metadata/FM1003__4__metadata.json new file mode 100644 index 00000000..867067d8 --- /dev/null +++ b/metadata/FM1003__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__2__metadata.json b/metadata/FinancialStatements__2__metadata.json new file mode 100644 index 00000000..6eb1f789 --- /dev/null +++ b/metadata/FinancialStatements__2__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__4__metadata.json b/metadata/I9__4__metadata.json new file mode 100644 index 00000000..261906fe --- /dev/null +++ b/metadata/I9__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__6__metadata.json b/metadata/IDCards__6__metadata.json new file mode 100644 index 00000000..e8b618f5 --- /dev/null +++ b/metadata/IDCards__6__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__12__metadata.json b/metadata/IndianInvoices__12__metadata.json new file mode 100644 index 00000000..11284b3b --- /dev/null +++ b/metadata/IndianInvoices__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__5__metadata.json b/metadata/InvoicesChina__5__metadata.json new file mode 100644 index 00000000..a0f53635 --- /dev/null +++ b/metadata/InvoicesChina__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/Invoices__13__metadata.json b/metadata/Invoices__13__metadata.json new file mode 100644 index 00000000..469885ff --- /dev/null +++ b/metadata/Invoices__13__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__10__metadata.json b/metadata/JapaneseInvoices__10__metadata.json new file mode 100644 index 00000000..519bae39 --- /dev/null +++ b/metadata/JapaneseInvoices__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__2__metadata.json b/metadata/PackingLists__2__metadata.json new file mode 100644 index 00000000..198013f2 --- /dev/null +++ b/metadata/PackingLists__2__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__6__metadata.json b/metadata/Passports__6__metadata.json new file mode 100644 index 00000000..65e835d6 --- /dev/null +++ b/metadata/Passports__6__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/PurchaseOrders__12__metadata.json b/metadata/PurchaseOrders__12__metadata.json new file mode 100644 index 00000000..1cba6ec7 --- /dev/null +++ b/metadata/PurchaseOrders__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__13__metadata.json b/metadata/Receipts__13__metadata.json new file mode 100644 index 00000000..dac88bf2 --- /dev/null +++ b/metadata/Receipts__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__5__metadata.json b/metadata/RemittanceAdvices__5__metadata.json new file mode 100644 index 00000000..1f3acf89 --- /dev/null +++ b/metadata/RemittanceAdvices__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UtilityBills__12__metadata.json b/metadata/UtilityBills__12__metadata.json new file mode 100644 index 00000000..eaa6d96d --- /dev/null +++ b/metadata/UtilityBills__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__2__metadata.json b/metadata/VehicleTitles__2__metadata.json new file mode 100644 index 00000000..67f1f1f5 --- /dev/null +++ b/metadata/VehicleTitles__2__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__5__metadata.json b/metadata/W2__5__metadata.json new file mode 100644 index 00000000..2b2018cc --- /dev/null +++ b/metadata/W2__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__5__metadata.json b/metadata/W9__5__metadata.json new file mode 100644 index 00000000..a04986ef --- /dev/null +++ b/metadata/W9__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.2", + "imagePath": "du-semistructured:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From a1f72c239b6d08dc8ba8f66be0c781467df11b01 Mon Sep 17 00:00:00 2001 From: "irinel.birsan" Date: Wed, 25 Jan 2023 13:07:12 +0200 Subject: [PATCH 137/267] Add metadata for doc ocr cpu/gpu 22.10.2 patch --- .../UiPathDocumentOCR_CPU__4__metadata.json | 26 +++++++++++++++++++ metadata/UiPathDocumentOCR__9__metadata.json | 26 +++++++++++++++++++ 2 files changed, 52 insertions(+) create mode 100644 metadata/UiPathDocumentOCR_CPU__4__metadata.json create mode 100644 metadata/UiPathDocumentOCR__9__metadata.json diff --git a/metadata/UiPathDocumentOCR_CPU__4__metadata.json b/metadata/UiPathDocumentOCR_CPU__4__metadata.json new file mode 100644 index 00000000..ba2477b9 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__4__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "22.10.2", + "imagePath": "du-doc-ocr-cpu:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__9__metadata.json b/metadata/UiPathDocumentOCR__9__metadata.json new file mode 100644 index 00000000..34f6ee21 --- /dev/null +++ b/metadata/UiPathDocumentOCR__9__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.2", + "imagePath": "du-doc-ocr:22.10.2-sf-rc1", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} From 30737ea19e8663dd3d408ae8c5eb275de9130193 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Thu, 16 Mar 2023 09:52:44 +0200 Subject: [PATCH 138/267] Add metadata for 22.10.4 patch --- metadata/1040__3__metadata.json | 33 +++++++++++++++++++ metadata/4506T__5__metadata.json | 33 +++++++++++++++++++ metadata/990__5__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__5__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__3__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__3__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__3__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__3__metadata.json | 33 +++++++++++++++++++ .../AustralianInvoices__13__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__3__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__3__metadata.json | 32 ++++++++++++++++++ metadata/Checks__3__metadata.json | 32 ++++++++++++++++++ metadata/DocumentClassifier__8__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__14__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__5__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__3__metadata.json | 32 ++++++++++++++++++ metadata/I9__5__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__7__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__13__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__6__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__14__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__11__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__3__metadata.json | 32 ++++++++++++++++++ metadata/Passports__7__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__13__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__14__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__6__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__5__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__10__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__13__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__3__metadata.json | 32 ++++++++++++++++++ metadata/W2__6__metadata.json | 33 +++++++++++++++++++ metadata/W9__6__metadata.json | 33 +++++++++++++++++++ 33 files changed, 1061 insertions(+) create mode 100644 metadata/1040__3__metadata.json create mode 100644 metadata/4506T__5__metadata.json create mode 100644 metadata/990__5__metadata.json create mode 100644 metadata/Acord125__5__metadata.json create mode 100644 metadata/Acord126__3__metadata.json create mode 100644 metadata/Acord131__3__metadata.json create mode 100644 metadata/Acord140__3__metadata.json create mode 100644 metadata/Acord25__3__metadata.json create mode 100644 metadata/AustralianInvoices__13__metadata.json create mode 100644 metadata/BankStatements__3__metadata.json create mode 100644 metadata/BillsOfLading__3__metadata.json create mode 100644 metadata/Checks__3__metadata.json create mode 100644 metadata/DocumentClassifier__8__metadata.json create mode 100644 metadata/DocumentUnderstanding__14__metadata.json create mode 100644 metadata/FM1003__5__metadata.json create mode 100644 metadata/FinancialStatements__3__metadata.json create mode 100644 metadata/I9__5__metadata.json create mode 100644 metadata/IDCards__7__metadata.json create mode 100644 metadata/IndianInvoices__13__metadata.json create mode 100644 metadata/InvoicesChina__6__metadata.json create mode 100644 metadata/Invoices__14__metadata.json create mode 100644 metadata/JapaneseInvoices__11__metadata.json create mode 100644 metadata/PackingLists__3__metadata.json create mode 100644 metadata/Passports__7__metadata.json create mode 100644 metadata/PurchaseOrders__13__metadata.json create mode 100644 metadata/Receipts__14__metadata.json create mode 100644 metadata/RemittanceAdvices__6__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__5__metadata.json create mode 100644 metadata/UiPathDocumentOCR__10__metadata.json create mode 100644 metadata/UtilityBills__13__metadata.json create mode 100644 metadata/VehicleTitles__3__metadata.json create mode 100644 metadata/W2__6__metadata.json create mode 100644 metadata/W9__6__metadata.json diff --git a/metadata/1040__3__metadata.json b/metadata/1040__3__metadata.json new file mode 100644 index 00000000..8caa6e35 --- /dev/null +++ b/metadata/1040__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__5__metadata.json b/metadata/4506T__5__metadata.json new file mode 100644 index 00000000..b966045c --- /dev/null +++ b/metadata/4506T__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/990__5__metadata.json b/metadata/990__5__metadata.json new file mode 100644 index 00000000..e036a95c --- /dev/null +++ b/metadata/990__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__5__metadata.json b/metadata/Acord125__5__metadata.json new file mode 100644 index 00000000..e76fa45e --- /dev/null +++ b/metadata/Acord125__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__3__metadata.json b/metadata/Acord126__3__metadata.json new file mode 100644 index 00000000..07f18a69 --- /dev/null +++ b/metadata/Acord126__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__3__metadata.json b/metadata/Acord131__3__metadata.json new file mode 100644 index 00000000..dd98f11a --- /dev/null +++ b/metadata/Acord131__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__3__metadata.json b/metadata/Acord140__3__metadata.json new file mode 100644 index 00000000..c63abee1 --- /dev/null +++ b/metadata/Acord140__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__3__metadata.json b/metadata/Acord25__3__metadata.json new file mode 100644 index 00000000..8c856b20 --- /dev/null +++ b/metadata/Acord25__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/AustralianInvoices__13__metadata.json b/metadata/AustralianInvoices__13__metadata.json new file mode 100644 index 00000000..53b37301 --- /dev/null +++ b/metadata/AustralianInvoices__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/BankStatements__3__metadata.json b/metadata/BankStatements__3__metadata.json new file mode 100644 index 00000000..c6e12952 --- /dev/null +++ b/metadata/BankStatements__3__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__3__metadata.json b/metadata/BillsOfLading__3__metadata.json new file mode 100644 index 00000000..59329698 --- /dev/null +++ b/metadata/BillsOfLading__3__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/Checks__3__metadata.json b/metadata/Checks__3__metadata.json new file mode 100644 index 00000000..d0ba4d4c --- /dev/null +++ b/metadata/Checks__3__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/DocumentClassifier__8__metadata.json b/metadata/DocumentClassifier__8__metadata.json new file mode 100644 index 00000000..62d723d7 --- /dev/null +++ b/metadata/DocumentClassifier__8__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "22.10.4", + "imagePath": "du-ml-document-type-text-classifier:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__14__metadata.json b/metadata/DocumentUnderstanding__14__metadata.json new file mode 100644 index 00000000..f482000a --- /dev/null +++ b/metadata/DocumentUnderstanding__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/FM1003__5__metadata.json b/metadata/FM1003__5__metadata.json new file mode 100644 index 00000000..dde0710d --- /dev/null +++ b/metadata/FM1003__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__3__metadata.json b/metadata/FinancialStatements__3__metadata.json new file mode 100644 index 00000000..4054002d --- /dev/null +++ b/metadata/FinancialStatements__3__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__5__metadata.json b/metadata/I9__5__metadata.json new file mode 100644 index 00000000..d35730c1 --- /dev/null +++ b/metadata/I9__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__7__metadata.json b/metadata/IDCards__7__metadata.json new file mode 100644 index 00000000..c2df115f --- /dev/null +++ b/metadata/IDCards__7__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__13__metadata.json b/metadata/IndianInvoices__13__metadata.json new file mode 100644 index 00000000..2d4819eb --- /dev/null +++ b/metadata/IndianInvoices__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__6__metadata.json b/metadata/InvoicesChina__6__metadata.json new file mode 100644 index 00000000..575a5ab9 --- /dev/null +++ b/metadata/InvoicesChina__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/Invoices__14__metadata.json b/metadata/Invoices__14__metadata.json new file mode 100644 index 00000000..8a4b2b3d --- /dev/null +++ b/metadata/Invoices__14__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__11__metadata.json b/metadata/JapaneseInvoices__11__metadata.json new file mode 100644 index 00000000..31d27d54 --- /dev/null +++ b/metadata/JapaneseInvoices__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__3__metadata.json b/metadata/PackingLists__3__metadata.json new file mode 100644 index 00000000..2f35439a --- /dev/null +++ b/metadata/PackingLists__3__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__7__metadata.json b/metadata/Passports__7__metadata.json new file mode 100644 index 00000000..966764ac --- /dev/null +++ b/metadata/Passports__7__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/PurchaseOrders__13__metadata.json b/metadata/PurchaseOrders__13__metadata.json new file mode 100644 index 00000000..5fee44e3 --- /dev/null +++ b/metadata/PurchaseOrders__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__14__metadata.json b/metadata/Receipts__14__metadata.json new file mode 100644 index 00000000..ab2ac07c --- /dev/null +++ b/metadata/Receipts__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__6__metadata.json b/metadata/RemittanceAdvices__6__metadata.json new file mode 100644 index 00000000..f634c98f --- /dev/null +++ b/metadata/RemittanceAdvices__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__5__metadata.json b/metadata/UiPathDocumentOCR_CPU__5__metadata.json new file mode 100644 index 00000000..cfb06aee --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__5__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "22.10.4", + "imagePath": "du-doc-ocr-cpu:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__10__metadata.json b/metadata/UiPathDocumentOCR__10__metadata.json new file mode 100644 index 00000000..3d80fa16 --- /dev/null +++ b/metadata/UiPathDocumentOCR__10__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.4", + "imagePath": "du-doc-ocr:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__13__metadata.json b/metadata/UtilityBills__13__metadata.json new file mode 100644 index 00000000..d7306429 --- /dev/null +++ b/metadata/UtilityBills__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__3__metadata.json b/metadata/VehicleTitles__3__metadata.json new file mode 100644 index 00000000..b6ec431d --- /dev/null +++ b/metadata/VehicleTitles__3__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__6__metadata.json b/metadata/W2__6__metadata.json new file mode 100644 index 00000000..f8047e3c --- /dev/null +++ b/metadata/W2__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__6__metadata.json b/metadata/W9__6__metadata.json new file mode 100644 index 00000000..2ee2881c --- /dev/null +++ b/metadata/W9__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.4", + "imagePath": "du-semistructured:22.10.4-sf-rc1", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From 51acf639636e103f39e0dccae005261de0492801 Mon Sep 17 00:00:00 2001 From: irinel-birsan-uipath <42834544+irinel-birsan-uipath@users.noreply.github.com> Date: Mon, 27 Mar 2023 11:53:25 +0300 Subject: [PATCH 139/267] ACTV-62480 - Fix werkzeug (#219) --- metadata/1040__3__metadata.json | 2 +- metadata/4506T__5__metadata.json | 2 +- metadata/990__5__metadata.json | 2 +- metadata/Acord125__5__metadata.json | 2 +- metadata/Acord126__3__metadata.json | 2 +- metadata/Acord131__3__metadata.json | 2 +- metadata/Acord140__3__metadata.json | 2 +- metadata/Acord25__3__metadata.json | 2 +- metadata/AustralianInvoices__13__metadata.json | 2 +- metadata/BankStatements__3__metadata.json | 2 +- metadata/BillsOfLading__3__metadata.json | 2 +- metadata/Checks__3__metadata.json | 2 +- metadata/DocumentClassifier__8__metadata.json | 2 +- metadata/DocumentUnderstanding__14__metadata.json | 2 +- metadata/FM1003__5__metadata.json | 2 +- metadata/FinancialStatements__3__metadata.json | 2 +- metadata/I9__5__metadata.json | 2 +- metadata/IDCards__7__metadata.json | 2 +- metadata/IndianInvoices__13__metadata.json | 2 +- metadata/InvoicesChina__6__metadata.json | 2 +- metadata/Invoices__14__metadata.json | 2 +- metadata/JapaneseInvoices__11__metadata.json | 2 +- metadata/PackingLists__3__metadata.json | 2 +- metadata/Passports__7__metadata.json | 2 +- metadata/PurchaseOrders__13__metadata.json | 2 +- metadata/Receipts__14__metadata.json | 2 +- metadata/RemittanceAdvices__6__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__5__metadata.json | 2 +- metadata/UiPathDocumentOCR__10__metadata.json | 2 +- metadata/UtilityBills__13__metadata.json | 2 +- metadata/VehicleTitles__3__metadata.json | 2 +- metadata/W2__6__metadata.json | 2 +- metadata/W9__6__metadata.json | 2 +- 33 files changed, 33 insertions(+), 33 deletions(-) diff --git a/metadata/1040__3__metadata.json b/metadata/1040__3__metadata.json index 8caa6e35..a871be30 100644 --- a/metadata/1040__3__metadata.json +++ b/metadata/1040__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__5__metadata.json b/metadata/4506T__5__metadata.json index b966045c..932d1944 100644 --- a/metadata/4506T__5__metadata.json +++ b/metadata/4506T__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__5__metadata.json b/metadata/990__5__metadata.json index e036a95c..e35fd81b 100644 --- a/metadata/990__5__metadata.json +++ b/metadata/990__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__5__metadata.json b/metadata/Acord125__5__metadata.json index e76fa45e..cfedc7a3 100644 --- a/metadata/Acord125__5__metadata.json +++ b/metadata/Acord125__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__3__metadata.json b/metadata/Acord126__3__metadata.json index 07f18a69..516498ed 100644 --- a/metadata/Acord126__3__metadata.json +++ b/metadata/Acord126__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__3__metadata.json b/metadata/Acord131__3__metadata.json index dd98f11a..e766edf7 100644 --- a/metadata/Acord131__3__metadata.json +++ b/metadata/Acord131__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__3__metadata.json b/metadata/Acord140__3__metadata.json index c63abee1..0f6bcbd2 100644 --- a/metadata/Acord140__3__metadata.json +++ b/metadata/Acord140__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__3__metadata.json b/metadata/Acord25__3__metadata.json index 8c856b20..916f3d1f 100644 --- a/metadata/Acord25__3__metadata.json +++ b/metadata/Acord25__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__13__metadata.json b/metadata/AustralianInvoices__13__metadata.json index 53b37301..14bf7cf7 100644 --- a/metadata/AustralianInvoices__13__metadata.json +++ b/metadata/AustralianInvoices__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__3__metadata.json b/metadata/BankStatements__3__metadata.json index c6e12952..329d0f75 100644 --- a/metadata/BankStatements__3__metadata.json +++ b/metadata/BankStatements__3__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__3__metadata.json b/metadata/BillsOfLading__3__metadata.json index 59329698..16fb080f 100644 --- a/metadata/BillsOfLading__3__metadata.json +++ b/metadata/BillsOfLading__3__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__3__metadata.json b/metadata/Checks__3__metadata.json index d0ba4d4c..c88f494c 100644 --- a/metadata/Checks__3__metadata.json +++ b/metadata/Checks__3__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__8__metadata.json b/metadata/DocumentClassifier__8__metadata.json index 62d723d7..5e58a675 100644 --- a/metadata/DocumentClassifier__8__metadata.json +++ b/metadata/DocumentClassifier__8__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 8, "customVersion": "22.10.4", - "imagePath": "du-ml-document-type-text-classifier:22.10.4-sf-rc1", + "imagePath": "du-ml-document-type-text-classifier:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__14__metadata.json b/metadata/DocumentUnderstanding__14__metadata.json index f482000a..a53eb204 100644 --- a/metadata/DocumentUnderstanding__14__metadata.json +++ b/metadata/DocumentUnderstanding__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__5__metadata.json b/metadata/FM1003__5__metadata.json index dde0710d..b8d1dc30 100644 --- a/metadata/FM1003__5__metadata.json +++ b/metadata/FM1003__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__3__metadata.json b/metadata/FinancialStatements__3__metadata.json index 4054002d..e60085f3 100644 --- a/metadata/FinancialStatements__3__metadata.json +++ b/metadata/FinancialStatements__3__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__5__metadata.json b/metadata/I9__5__metadata.json index d35730c1..6e2d20c2 100644 --- a/metadata/I9__5__metadata.json +++ b/metadata/I9__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__7__metadata.json b/metadata/IDCards__7__metadata.json index c2df115f..f18674e6 100644 --- a/metadata/IDCards__7__metadata.json +++ b/metadata/IDCards__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__13__metadata.json b/metadata/IndianInvoices__13__metadata.json index 2d4819eb..eda789c8 100644 --- a/metadata/IndianInvoices__13__metadata.json +++ b/metadata/IndianInvoices__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__6__metadata.json b/metadata/InvoicesChina__6__metadata.json index 575a5ab9..95884466 100644 --- a/metadata/InvoicesChina__6__metadata.json +++ b/metadata/InvoicesChina__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__14__metadata.json b/metadata/Invoices__14__metadata.json index 8a4b2b3d..3836a9dd 100644 --- a/metadata/Invoices__14__metadata.json +++ b/metadata/Invoices__14__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__11__metadata.json b/metadata/JapaneseInvoices__11__metadata.json index 31d27d54..77564e8d 100644 --- a/metadata/JapaneseInvoices__11__metadata.json +++ b/metadata/JapaneseInvoices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__3__metadata.json b/metadata/PackingLists__3__metadata.json index 2f35439a..4a0829a3 100644 --- a/metadata/PackingLists__3__metadata.json +++ b/metadata/PackingLists__3__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__7__metadata.json b/metadata/Passports__7__metadata.json index 966764ac..6fb495c9 100644 --- a/metadata/Passports__7__metadata.json +++ b/metadata/Passports__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__13__metadata.json b/metadata/PurchaseOrders__13__metadata.json index 5fee44e3..3b9cbfdc 100644 --- a/metadata/PurchaseOrders__13__metadata.json +++ b/metadata/PurchaseOrders__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__14__metadata.json b/metadata/Receipts__14__metadata.json index ab2ac07c..29bbf003 100644 --- a/metadata/Receipts__14__metadata.json +++ b/metadata/Receipts__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__6__metadata.json b/metadata/RemittanceAdvices__6__metadata.json index f634c98f..c14bfcef 100644 --- a/metadata/RemittanceAdvices__6__metadata.json +++ b/metadata/RemittanceAdvices__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__5__metadata.json b/metadata/UiPathDocumentOCR_CPU__5__metadata.json index cfb06aee..c1115521 100644 --- a/metadata/UiPathDocumentOCR_CPU__5__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__5__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 5, "customVersion": "22.10.4", - "imagePath": "du-doc-ocr-cpu:22.10.4-sf-rc1", + "imagePath": "du-doc-ocr-cpu:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__10__metadata.json b/metadata/UiPathDocumentOCR__10__metadata.json index 3d80fa16..ad2da419 100644 --- a/metadata/UiPathDocumentOCR__10__metadata.json +++ b/metadata/UiPathDocumentOCR__10__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.4", - "imagePath": "du-doc-ocr:22.10.4-sf-rc1", + "imagePath": "du-doc-ocr:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__13__metadata.json b/metadata/UtilityBills__13__metadata.json index d7306429..121c6632 100644 --- a/metadata/UtilityBills__13__metadata.json +++ b/metadata/UtilityBills__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__3__metadata.json b/metadata/VehicleTitles__3__metadata.json index b6ec431d..fa94abfa 100644 --- a/metadata/VehicleTitles__3__metadata.json +++ b/metadata/VehicleTitles__3__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 3, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__6__metadata.json b/metadata/W2__6__metadata.json index f8047e3c..18195958 100644 --- a/metadata/W2__6__metadata.json +++ b/metadata/W2__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__6__metadata.json b/metadata/W9__6__metadata.json index 2ee2881c..16025610 100644 --- a/metadata/W9__6__metadata.json +++ b/metadata/W9__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc1", + "imagePath": "du-semistructured:22.10.4-sf-rc2", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 4b520d1f6e8cfd0a6a5d18d13039276e9434906a Mon Sep 17 00:00:00 2001 From: Maximilian <13082592+MaxTranced@users.noreply.github.com> Date: Wed, 5 Apr 2023 16:20:08 +0300 Subject: [PATCH 140/267] Testing for CV v5 metadata See https://github.com/UiPath/ai-customer-scripts/pull/220 --- metadata/ComputerVision__5__metadata.json | 25 +++++++++++++++++++++++ 1 file changed, 25 insertions(+) create mode 100644 metadata/ComputerVision__5__metadata.json diff --git a/metadata/ComputerVision__5__metadata.json b/metadata/ComputerVision__5__metadata.json new file mode 100644 index 00000000..9462de9e --- /dev/null +++ b/metadata/ComputerVision__5__metadata.json @@ -0,0 +1,25 @@ +{ + "changeLog": "Release v2023.04", + "cpu": 0, + "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 1, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/user-guide/computer-vision ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/user-guide/computer-vision ", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "tenantName": "UiPath", + "minAIFabricVersion": "23.4", + "languageVersion": 3, + "version": 5, + "customVersion": "23.04.1", + "imagePath": "cv2304:23.4.5.2" +} \ No newline at end of file From 2b4eb6a9df1267cfe0f8950edcad73337bf9ac10 Mon Sep 17 00:00:00 2001 From: Maximilian <13082592+MaxTranced@users.noreply.github.com> Date: Wed, 5 Apr 2023 16:34:52 +0300 Subject: [PATCH 141/267] Per Vivek's suggestion --- metadata/ComputerVision__5__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/ComputerVision__5__metadata.json b/metadata/ComputerVision__5__metadata.json index 9462de9e..17710819 100644 --- a/metadata/ComputerVision__5__metadata.json +++ b/metadata/ComputerVision__5__metadata.json @@ -17,7 +17,7 @@ "projectName": "UiPath Computer Vision", "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "tenantName": "UiPath", - "minAIFabricVersion": "23.4", + "minAIFabricVersion": "22.10", "languageVersion": 3, "version": 5, "customVersion": "23.04.1", From f356f96f18cf203c76a0bbd1373b8ec7bcdf13c5 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 21 Mar 2023 16:26:14 +0200 Subject: [PATCH 142/267] Add 23.4 metadata for extractors and doc ocr --- metadata/1040__4__metadata.json | 33 +++++++++++++++++++ metadata/4506T__6__metadata.json | 33 +++++++++++++++++++ metadata/990__6__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__6__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__4__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__4__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__4__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__4__metadata.json | 33 +++++++++++++++++++ .../AustralianInvoices__14__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__4__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__4__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__1__metadata.json | 33 +++++++++++++++++++ ...ertificatesIncorporation__1__metadata.json | 33 +++++++++++++++++++ metadata/CertificatesOrigin__1__metadata.json | 33 +++++++++++++++++++ metadata/Checks__4__metadata.json | 32 ++++++++++++++++++ ...ldrenProductCertificates__1__metadata.json | 33 +++++++++++++++++++ metadata/DocumentClassifier__9__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__15__metadata.json | 33 +++++++++++++++++++ .../EUDeclarationConformity__1__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__6__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__4__metadata.json | 32 ++++++++++++++++++ metadata/I9__6__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__8__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__14__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__7__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__1__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__15__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__12__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__4__metadata.json | 32 ++++++++++++++++++ metadata/Passports__8__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__1__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__14__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__15__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__7__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__6__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__11__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__14__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__4__metadata.json | 32 ++++++++++++++++++ metadata/W2__7__metadata.json | 33 +++++++++++++++++++ metadata/W9__7__metadata.json | 33 +++++++++++++++++++ 40 files changed, 1292 insertions(+) create mode 100644 metadata/1040__4__metadata.json create mode 100644 metadata/4506T__6__metadata.json create mode 100644 metadata/990__6__metadata.json create mode 100644 metadata/Acord125__6__metadata.json create mode 100644 metadata/Acord126__4__metadata.json create mode 100644 metadata/Acord131__4__metadata.json create mode 100644 metadata/Acord140__4__metadata.json create mode 100644 metadata/Acord25__4__metadata.json create mode 100644 metadata/AustralianInvoices__14__metadata.json create mode 100644 metadata/BankStatements__4__metadata.json create mode 100644 metadata/BillsOfLading__4__metadata.json create mode 100644 metadata/CMS1500__1__metadata.json create mode 100644 metadata/CertificatesIncorporation__1__metadata.json create mode 100644 metadata/CertificatesOrigin__1__metadata.json create mode 100644 metadata/Checks__4__metadata.json create mode 100644 metadata/ChildrenProductCertificates__1__metadata.json create mode 100644 metadata/DocumentClassifier__9__metadata.json create mode 100644 metadata/DocumentUnderstanding__15__metadata.json create mode 100644 metadata/EUDeclarationConformity__1__metadata.json create mode 100644 metadata/FM1003__6__metadata.json create mode 100644 metadata/FinancialStatements__4__metadata.json create mode 100644 metadata/I9__6__metadata.json create mode 100644 metadata/IDCards__8__metadata.json create mode 100644 metadata/IndianInvoices__14__metadata.json create mode 100644 metadata/InvoicesChina__7__metadata.json create mode 100644 metadata/InvoicesShipping__1__metadata.json create mode 100644 metadata/Invoices__15__metadata.json create mode 100644 metadata/JapaneseInvoices__12__metadata.json create mode 100644 metadata/PackingLists__4__metadata.json create mode 100644 metadata/Passports__8__metadata.json create mode 100644 metadata/Payslips__1__metadata.json create mode 100644 metadata/PurchaseOrders__14__metadata.json create mode 100644 metadata/Receipts__15__metadata.json create mode 100644 metadata/RemittanceAdvices__7__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__6__metadata.json create mode 100644 metadata/UiPathDocumentOCR__11__metadata.json create mode 100644 metadata/UtilityBills__14__metadata.json create mode 100644 metadata/VehicleTitles__4__metadata.json create mode 100644 metadata/W2__7__metadata.json create mode 100644 metadata/W9__7__metadata.json diff --git a/metadata/1040__4__metadata.json b/metadata/1040__4__metadata.json new file mode 100644 index 00000000..1b149929 --- /dev/null +++ b/metadata/1040__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__6__metadata.json b/metadata/4506T__6__metadata.json new file mode 100644 index 00000000..44b5b3e9 --- /dev/null +++ b/metadata/4506T__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/990__6__metadata.json b/metadata/990__6__metadata.json new file mode 100644 index 00000000..1decd713 --- /dev/null +++ b/metadata/990__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__6__metadata.json b/metadata/Acord125__6__metadata.json new file mode 100644 index 00000000..b4d2d398 --- /dev/null +++ b/metadata/Acord125__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__4__metadata.json b/metadata/Acord126__4__metadata.json new file mode 100644 index 00000000..386f92af --- /dev/null +++ b/metadata/Acord126__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__4__metadata.json b/metadata/Acord131__4__metadata.json new file mode 100644 index 00000000..8901b42c --- /dev/null +++ b/metadata/Acord131__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__4__metadata.json b/metadata/Acord140__4__metadata.json new file mode 100644 index 00000000..87395225 --- /dev/null +++ b/metadata/Acord140__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__4__metadata.json b/metadata/Acord25__4__metadata.json new file mode 100644 index 00000000..1ea26fa6 --- /dev/null +++ b/metadata/Acord25__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/AustralianInvoices__14__metadata.json b/metadata/AustralianInvoices__14__metadata.json new file mode 100644 index 00000000..1bcc67ec --- /dev/null +++ b/metadata/AustralianInvoices__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/BankStatements__4__metadata.json b/metadata/BankStatements__4__metadata.json new file mode 100644 index 00000000..20180e3d --- /dev/null +++ b/metadata/BankStatements__4__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__4__metadata.json b/metadata/BillsOfLading__4__metadata.json new file mode 100644 index 00000000..a847442a --- /dev/null +++ b/metadata/BillsOfLading__4__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__1__metadata.json b/metadata/CMS1500__1__metadata.json new file mode 100644 index 00000000..5514f1d2 --- /dev/null +++ b/metadata/CMS1500__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesIncorporation__1__metadata.json b/metadata/CertificatesIncorporation__1__metadata.json new file mode 100644 index 00000000..4b05d5fb --- /dev/null +++ b/metadata/CertificatesIncorporation__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOrigin__1__metadata.json b/metadata/CertificatesOrigin__1__metadata.json new file mode 100644 index 00000000..d52ce429 --- /dev/null +++ b/metadata/CertificatesOrigin__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__4__metadata.json b/metadata/Checks__4__metadata.json new file mode 100644 index 00000000..cfc973a1 --- /dev/null +++ b/metadata/Checks__4__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__1__metadata.json b/metadata/ChildrenProductCertificates__1__metadata.json new file mode 100644 index 00000000..53b4599d --- /dev/null +++ b/metadata/ChildrenProductCertificates__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__9__metadata.json b/metadata/DocumentClassifier__9__metadata.json new file mode 100644 index 00000000..76d9a1f9 --- /dev/null +++ b/metadata/DocumentClassifier__9__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.0", + "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__15__metadata.json b/metadata/DocumentUnderstanding__15__metadata.json new file mode 100644 index 00000000..4ea2b398 --- /dev/null +++ b/metadata/DocumentUnderstanding__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationConformity__1__metadata.json b/metadata/EUDeclarationConformity__1__metadata.json new file mode 100644 index 00000000..2a49b72e --- /dev/null +++ b/metadata/EUDeclarationConformity__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__6__metadata.json b/metadata/FM1003__6__metadata.json new file mode 100644 index 00000000..19702a5b --- /dev/null +++ b/metadata/FM1003__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__4__metadata.json b/metadata/FinancialStatements__4__metadata.json new file mode 100644 index 00000000..19477a6f --- /dev/null +++ b/metadata/FinancialStatements__4__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__6__metadata.json b/metadata/I9__6__metadata.json new file mode 100644 index 00000000..01b5a153 --- /dev/null +++ b/metadata/I9__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__8__metadata.json b/metadata/IDCards__8__metadata.json new file mode 100644 index 00000000..6f155c08 --- /dev/null +++ b/metadata/IDCards__8__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__14__metadata.json b/metadata/IndianInvoices__14__metadata.json new file mode 100644 index 00000000..e12cafb2 --- /dev/null +++ b/metadata/IndianInvoices__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__7__metadata.json b/metadata/InvoicesChina__7__metadata.json new file mode 100644 index 00000000..a5cf4585 --- /dev/null +++ b/metadata/InvoicesChina__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesShipping__1__metadata.json b/metadata/InvoicesShipping__1__metadata.json new file mode 100644 index 00000000..ca1304c8 --- /dev/null +++ b/metadata/InvoicesShipping__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__15__metadata.json b/metadata/Invoices__15__metadata.json new file mode 100644 index 00000000..a17a62cc --- /dev/null +++ b/metadata/Invoices__15__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__12__metadata.json b/metadata/JapaneseInvoices__12__metadata.json new file mode 100644 index 00000000..07edfe07 --- /dev/null +++ b/metadata/JapaneseInvoices__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__4__metadata.json b/metadata/PackingLists__4__metadata.json new file mode 100644 index 00000000..0c468eeb --- /dev/null +++ b/metadata/PackingLists__4__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__8__metadata.json b/metadata/Passports__8__metadata.json new file mode 100644 index 00000000..87aab00b --- /dev/null +++ b/metadata/Passports__8__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__1__metadata.json b/metadata/Payslips__1__metadata.json new file mode 100644 index 00000000..f9c8635f --- /dev/null +++ b/metadata/Payslips__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__14__metadata.json b/metadata/PurchaseOrders__14__metadata.json new file mode 100644 index 00000000..e0e4a49e --- /dev/null +++ b/metadata/PurchaseOrders__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__15__metadata.json b/metadata/Receipts__15__metadata.json new file mode 100644 index 00000000..9d13fe16 --- /dev/null +++ b/metadata/Receipts__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__7__metadata.json b/metadata/RemittanceAdvices__7__metadata.json new file mode 100644 index 00000000..42ac6934 --- /dev/null +++ b/metadata/RemittanceAdvices__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__6__metadata.json new file mode 100644 index 00000000..0dbafcb1 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__6__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.0", + "imagePath": "du-doc-ocr-cpu:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__11__metadata.json b/metadata/UiPathDocumentOCR__11__metadata.json new file mode 100644 index 00000000..e63fd485 --- /dev/null +++ b/metadata/UiPathDocumentOCR__11__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.0", + "imagePath": "du-doc-ocr:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__14__metadata.json b/metadata/UtilityBills__14__metadata.json new file mode 100644 index 00000000..cce459e7 --- /dev/null +++ b/metadata/UtilityBills__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__4__metadata.json b/metadata/VehicleTitles__4__metadata.json new file mode 100644 index 00000000..58af6288 --- /dev/null +++ b/metadata/VehicleTitles__4__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__7__metadata.json b/metadata/W2__7__metadata.json new file mode 100644 index 00000000..d46c17c4 --- /dev/null +++ b/metadata/W2__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__7__metadata.json b/metadata/W9__7__metadata.json new file mode 100644 index 00000000..a562f55d --- /dev/null +++ b/metadata/W9__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.0", + "imagePath": "du-semistructured:v23.4.0-rc60", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From 31e5f48f2513815d694be0d4f0f3c02bd05293f1 Mon Sep 17 00:00:00 2001 From: vivekjhauipath <45358096+vivekjhauipath@users.noreply.github.com> Date: Mon, 10 Apr 2023 12:01:43 +0530 Subject: [PATCH 143/267] Add metadata for OOB models [AIFBR-14153] (#222) * Add OOB metadata --------- Co-authored-by: Vivek --- metadata/ImageModeration__1__metadata.json | 24 ++++++++++++++++++ metadata/LanguageDetection__1__metadata.json | 24 ++++++++++++++++++ .../MultilingualTranslator__1__metadata.json | 24 ++++++++++++++++++ .../NamedEntityRecognition__1__metadata.json | 24 ++++++++++++++++++ metadata/ObjectDetection__1__metadata.json | 25 +++++++++++++++++++ metadata/SentimentAnalysis__2__metadata.json | 24 ++++++++++++++++++ .../TPOTAutoMLRegression__1__metadata.json | 24 ++++++++++++++++++ 7 files changed, 169 insertions(+) create mode 100644 metadata/ImageModeration__1__metadata.json create mode 100644 metadata/LanguageDetection__1__metadata.json create mode 100644 metadata/MultilingualTranslator__1__metadata.json create mode 100644 metadata/NamedEntityRecognition__1__metadata.json create mode 100644 metadata/ObjectDetection__1__metadata.json create mode 100644 metadata/SentimentAnalysis__2__metadata.json create mode 100644 metadata/TPOTAutoMLRegression__1__metadata.json diff --git a/metadata/ImageModeration__1__metadata.json b/metadata/ImageModeration__1__metadata.json new file mode 100644 index 00000000..f3e796d9 --- /dev/null +++ b/metadata/ImageModeration__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "ImageModeration", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "This is a model for image content moderation based on a deep learning architecture commonly referred to as Inception V3. Given an image, the model will output one of four classes \"explicit\", \"explicit-drawing\", \"neutral\", and \"pornographic\" together with a normalized confidence score for each class probability. The original is based on the paper ''Rethinking the Inception Architecture for Computer Vision'' by Szegedy et al which was open-sourced by Google.", + "inputDescription": "The path to an image file.", + "outputDescription": "A json object where the keys are the classes: \"explicit\", \"explicit-drawing\", \"neutral\", \"pornographic\" and the values are normalized (sum to one) probabilities of the image belonging to that class.", + "changeLog": "Move to Python 3.8", + "cpu": 1, + "inputType": "FILE", + "displayName": "ImageModeration", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Image Analysis", + "projectDescription": "Models for analyzing images including image classification and image moderation.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.12.0", + "contentUri": "https:///publicmodels/AIC/ImageModeration/22.12/ImageModeration.zip" +} \ No newline at end of file diff --git a/metadata/LanguageDetection__1__metadata.json b/metadata/LanguageDetection__1__metadata.json new file mode 100644 index 00000000..2ed0d8b8 --- /dev/null +++ b/metadata/LanguageDetection__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "LanguageDetection", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "This model was open sourced by Facebook Research. It predicts the language of a text input. Possible predictions are one of 176 Languages. See the Documentation for AI Center for a list of all languages. A common use case is to route unstructured language content (e.g. emails) to an appropriate responder based on the language of the text. The Licence for this model is the Creative Commons Attribution-Share-Alike License 3.0 found here: https://creativecommons.org/licenses/by-sa/3.0/legalcode", + "inputDescription": "Text to be analyzed.For example:\"Necesito ayuda con mi pedido.\"", + "outputDescription": "JSON with prediction of the language. Output will be a prediction for the input''s language along with a confidence of that prediction. {\"language\": \"Spanish\", \"confidence\": 0.97}", + "changeLog": "Use Python 3.8", + "cpu": 1, + "inputType": "JSON", + "displayName": "LanguageDetection", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.12.0", + "contentUri": "https:///publicmodels/AIC/LanguageDetection/22.12/LanguageDetection.zip" +} diff --git a/metadata/MultilingualTranslator__1__metadata.json b/metadata/MultilingualTranslator__1__metadata.json new file mode 100644 index 00000000..306d4a10 --- /dev/null +++ b/metadata/MultilingualTranslator__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "MultilingualTranslator", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "This is the HuggingFace integration of No Language Left Behind model open sourced by Meta AI Research. It delivers translations directly between any pair of 200+ languages. You can find the full list of languages and the corresponding code to use for each of them here: https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200. The model was published under the following license https://github.com/facebookresearch/fairseq/blob/nllb/LICENSE.", + "inputDescription": "The model input is json string with three keys text: the text to be translated, from_lang: Language code of the text, to_lang: Language code of the targeted text. Example: {\"text\" : \"UN Chief says there is no military solution in Syria\", \"from_lang\" : \"eng_Latn\", \"to_lang\" : \"fra_Latn\" }\"", + "outputDescription": "The model will return translated text in targeted language: \"Le chef de l''ONU dit qu''il n''y a pas de solution militaire en Syrie\" ", + "changeLog": "Use Python 3.8", + "cpu": 1, + "inputType": "JSON", + "displayName": "MultilingualTranslator", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Language Translation", + "projectDescription": "Models that use Neural Machine Translation to translate text from one language to another.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.11.2", + "contentUri": "https:///publicmodels/AIC/MultilingualTranslator/22.11.2/languageTranslation.zip" +} \ No newline at end of file diff --git a/metadata/NamedEntityRecognition__1__metadata.json b/metadata/NamedEntityRecognition__1__metadata.json new file mode 100644 index 00000000..c88c7cf0 --- /dev/null +++ b/metadata/NamedEntityRecognition__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "NamedEntityRecognition", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "This model returns a list of entities recognized in text. The 18 types of named entities recognized use the same output class as in [OntoNotes5|https://catalog.ldc.upenn.edu/LDC2013T19] which is commonly used for benchamrking this task in academia. Please see AI Center documentation for detailed explanation of these 18 output classes. The model is based on the paper ''Approaching nested named entity recognition with parallel LSTM-CRFs'' by Borchmann et al, 2018. It achieves an F1 score of 93.18 on the dataset Conll-2003. The implementation is Open-Sourced by the following license: https://github.com/flairNLP/flair/blob/master/LICENSE", + "inputDescription": "Text in English from which entities will be extracted.", + "outputDescription": "List of named entities in the text. Each elemnt in the list has the text that was recognized, the starting and ending positions (character-wise) of the text, the type of named entity and the confidence in that prediction. For example: [ {\"text\": \"George Washington\",\"start_pos\": 0,\"end_pos\": 17,\"type\": \"PERSON\",\"confidence\": 0.96469810605049133 }, {\"text\": \"New York City\",\"start_pos\": 26,\"end_pos\": 39,\"type\": \"LOC\",\"confidence\": 0.944470226764679 }, {\"text\": \"Congress\",\"start_pos\": 51,\"end_pos\": 59,\"type\": \"ORG\",\"confidence\": 0.99666249752044678 }]", + "changeLog": "Use Python 3.8", + "cpu": 1, + "inputType": "JSON", + "displayName": "NamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.12.0", + "contentUri": "https:///publicmodels/AIC/NamedEntityRecognition/22.12/NER.zip" +} \ No newline at end of file diff --git a/metadata/ObjectDetection__1__metadata.json b/metadata/ObjectDetection__1__metadata.json new file mode 100644 index 00000000..dba8edda --- /dev/null +++ b/metadata/ObjectDetection__1__metadata.json @@ -0,0 +1,25 @@ +{ + "name": "ObjectDetection", + "retrainable": true, + "gpu": 1, + "processorType": "GPU", + "description": "This is a generic, retrainable deep learning model to perform Object Detection. This ML Package is pretrained on COCO Dataset so you can directly create an ML Skill which can be used for identifying 80 classes of COCO Dataset. You can also train it on your own data and create an ML Skill and use for performing object detection where it will now work on your data. This deep learning model uses You only look once (YOLO) which a state-of-the-art and one of the most effective object detection algorithms that also encompasses many of the most innovative ideas evolving from the field of computer vision.", + "inputDescription": "Path to the image to be analyzed.", + "outputDescription": "JSON with identified object''s class byte array representation (allows you to see box around objects), identified object''s class - name, score (between 0-1) and bounding_boxes coordinates. Example: {\"Predicted ByteArray\": \"/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAIBAQEBAQIBAQECAgICAgQDAgI…TD\", \"Predicted Class\": [{\"class\": \"book\", \"score\": \" 0.65\", \"bounding_box\": [38.348690032958984, 274.14703369140625, 116.80537414550781, 306.26788330078125]}, {\"class\": \"book\", \"score\": \" 0.62\", \"bounding_box\": [34.108882904052734, 236.6508331298828, 118.49102783203125, 272.1687316894531]}]}", + "changeLog": "Move to Python 3.8 and support training on GPU.", + "cpu": 1, + "inputType": "FILE", + "displayName": "ObjectDetection", + "memory": 0, + "mlPackageLanguage": "PYTHON38_OPENCV", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Image Analysis", + "projectDescription": "Models for analyzing images including image classification and image moderation.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v22.4", + "languageVersion": 1, + "version": 1, + "customVersion": "22.12.0", + "contentUri": "https:///publicmodels/AIC/ObjectDetection/22.12.0/ObjectDetection_Yolo_airgapped.zip" +} \ No newline at end of file diff --git a/metadata/SentimentAnalysis__2__metadata.json b/metadata/SentimentAnalysis__2__metadata.json new file mode 100644 index 00000000..b83aa2c7 --- /dev/null +++ b/metadata/SentimentAnalysis__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "SentimentAnalysis", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "This model was open sourced by Facebook Research. It predicts the sentiment of a text in English Language. Possible predictions are one of \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". The model was trained on amazon product review data thus, the model predictions may have some unexpected results for different data distributions. A common use case is to route unstructured language content (e.g. emails) to an appropriate responder based on the sentiment of the text. The model implementation is open sourced by the license here: https://github.com/facebookresearch/fastText/blob/master/LICENSE", + "inputDescription": "Text to be analyzed.For example:\"I am dissatisfied with this service\"", + "outputDescription": "JSON with class name and confidence on that class prediction (between 0-1). Class prediction can be one of: \"Very Negative\", \"Negative\", \"Neutral\", \"Positive\", \"Very Positive\". For example: {\"sentiment\": \"Very Negative\", \"confidence\": 0.97}", + "changeLog": "Use Python 3.8", + "cpu": 1, + "inputType": "JSON", + "displayName": "SentimentAnalysis", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 2, + "customVersion": "22.12.0", + "contentUri": "https:///publicmodels/AIC/SentimentAnalysis/22.12.0/SentimentAnalysis.zip" +} \ No newline at end of file diff --git a/metadata/TPOTAutoMLRegression__1__metadata.json b/metadata/TPOTAutoMLRegression__1__metadata.json new file mode 100644 index 00000000..2ea24858 --- /dev/null +++ b/metadata/TPOTAutoMLRegression__1__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "TPOTAutoMLRegression", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Please train this ML Package before deploying it as it will not return anything otherwise. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users. TPOT uses the following set of models and pre-processing steps in its optimizations process: https://github.com/EpistasisLab/tpot/blob/master/tpot/config/regressor.py", + "inputDescription": "Features used by the model to make predictions. For example: [{ \"Feature1\": 12, \"Feature2\": 222, . . \"FeatureN\": 110 }]", + "outputDescription": "String with list of predictions: \"[12, 12, 2, 354, 12, 2]\"", + "changeLog": "Move to Python 3.8", + "cpu": 1, + "inputType": "JSON", + "displayName": "TPOTAutoMLRegression", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Tabular Data", + "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.12.0", + "contentUri": "https:///publicmodels/AIC/TPOTAutoMLRegression/22.12/TPOTAutoMLRegression.zip" +} From 01c8f24cf3c0a0f1a8400c5134245f80ec8a7f2d Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 7 Apr 2023 21:28:58 +0300 Subject: [PATCH 144/267] [23.4] Update ML tags --- metadata/1040__4__metadata.json | 2 +- metadata/4506T__6__metadata.json | 2 +- metadata/990__6__metadata.json | 2 +- metadata/Acord125__6__metadata.json | 2 +- metadata/Acord126__4__metadata.json | 2 +- metadata/Acord131__4__metadata.json | 2 +- metadata/Acord140__4__metadata.json | 2 +- metadata/Acord25__4__metadata.json | 2 +- metadata/AustralianInvoices__14__metadata.json | 2 +- metadata/BankStatements__4__metadata.json | 2 +- metadata/BillsOfLading__4__metadata.json | 2 +- metadata/CMS1500__1__metadata.json | 2 +- metadata/CertificatesIncorporation__1__metadata.json | 2 +- metadata/CertificatesOrigin__1__metadata.json | 2 +- metadata/Checks__4__metadata.json | 2 +- metadata/ChildrenProductCertificates__1__metadata.json | 2 +- metadata/DocumentClassifier__9__metadata.json | 2 +- metadata/DocumentUnderstanding__15__metadata.json | 2 +- metadata/EUDeclarationConformity__1__metadata.json | 2 +- metadata/FM1003__6__metadata.json | 2 +- metadata/FinancialStatements__4__metadata.json | 2 +- metadata/I9__6__metadata.json | 2 +- metadata/IDCards__8__metadata.json | 2 +- metadata/IndianInvoices__14__metadata.json | 2 +- metadata/InvoicesChina__7__metadata.json | 2 +- metadata/InvoicesShipping__1__metadata.json | 2 +- metadata/Invoices__15__metadata.json | 2 +- metadata/JapaneseInvoices__12__metadata.json | 2 +- metadata/PackingLists__4__metadata.json | 2 +- metadata/Passports__8__metadata.json | 2 +- metadata/Payslips__1__metadata.json | 2 +- metadata/PurchaseOrders__14__metadata.json | 2 +- metadata/Receipts__15__metadata.json | 2 +- metadata/RemittanceAdvices__7__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__6__metadata.json | 2 +- metadata/UiPathDocumentOCR__11__metadata.json | 2 +- metadata/UtilityBills__14__metadata.json | 2 +- metadata/VehicleTitles__4__metadata.json | 2 +- metadata/W2__7__metadata.json | 2 +- metadata/W9__7__metadata.json | 2 +- 40 files changed, 40 insertions(+), 40 deletions(-) diff --git a/metadata/1040__4__metadata.json b/metadata/1040__4__metadata.json index 1b149929..7b0bfa26 100644 --- a/metadata/1040__4__metadata.json +++ b/metadata/1040__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__6__metadata.json b/metadata/4506T__6__metadata.json index 44b5b3e9..7856b956 100644 --- a/metadata/4506T__6__metadata.json +++ b/metadata/4506T__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__6__metadata.json b/metadata/990__6__metadata.json index 1decd713..7148fc61 100644 --- a/metadata/990__6__metadata.json +++ b/metadata/990__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__6__metadata.json b/metadata/Acord125__6__metadata.json index b4d2d398..3a34a896 100644 --- a/metadata/Acord125__6__metadata.json +++ b/metadata/Acord125__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__4__metadata.json b/metadata/Acord126__4__metadata.json index 386f92af..01de80b0 100644 --- a/metadata/Acord126__4__metadata.json +++ b/metadata/Acord126__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__4__metadata.json b/metadata/Acord131__4__metadata.json index 8901b42c..e31750fb 100644 --- a/metadata/Acord131__4__metadata.json +++ b/metadata/Acord131__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__4__metadata.json b/metadata/Acord140__4__metadata.json index 87395225..b3bfcd79 100644 --- a/metadata/Acord140__4__metadata.json +++ b/metadata/Acord140__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__4__metadata.json b/metadata/Acord25__4__metadata.json index 1ea26fa6..9a2f6c30 100644 --- a/metadata/Acord25__4__metadata.json +++ b/metadata/Acord25__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__14__metadata.json b/metadata/AustralianInvoices__14__metadata.json index 1bcc67ec..5f7eb895 100644 --- a/metadata/AustralianInvoices__14__metadata.json +++ b/metadata/AustralianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__4__metadata.json b/metadata/BankStatements__4__metadata.json index 20180e3d..58d1f24d 100644 --- a/metadata/BankStatements__4__metadata.json +++ b/metadata/BankStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__4__metadata.json b/metadata/BillsOfLading__4__metadata.json index a847442a..0d0fbe4a 100644 --- a/metadata/BillsOfLading__4__metadata.json +++ b/metadata/BillsOfLading__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__1__metadata.json b/metadata/CMS1500__1__metadata.json index 5514f1d2..90e3420d 100644 --- a/metadata/CMS1500__1__metadata.json +++ b/metadata/CMS1500__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesIncorporation__1__metadata.json b/metadata/CertificatesIncorporation__1__metadata.json index 4b05d5fb..417fbebd 100644 --- a/metadata/CertificatesIncorporation__1__metadata.json +++ b/metadata/CertificatesIncorporation__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOrigin__1__metadata.json b/metadata/CertificatesOrigin__1__metadata.json index d52ce429..fe483093 100644 --- a/metadata/CertificatesOrigin__1__metadata.json +++ b/metadata/CertificatesOrigin__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__4__metadata.json b/metadata/Checks__4__metadata.json index cfc973a1..5bbe75bf 100644 --- a/metadata/Checks__4__metadata.json +++ b/metadata/Checks__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__1__metadata.json b/metadata/ChildrenProductCertificates__1__metadata.json index 53b4599d..85d925d7 100644 --- a/metadata/ChildrenProductCertificates__1__metadata.json +++ b/metadata/ChildrenProductCertificates__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__9__metadata.json b/metadata/DocumentClassifier__9__metadata.json index 76d9a1f9..db2f9516 100644 --- a/metadata/DocumentClassifier__9__metadata.json +++ b/metadata/DocumentClassifier__9__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.0", - "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc60", + "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__15__metadata.json b/metadata/DocumentUnderstanding__15__metadata.json index 4ea2b398..80234299 100644 --- a/metadata/DocumentUnderstanding__15__metadata.json +++ b/metadata/DocumentUnderstanding__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationConformity__1__metadata.json b/metadata/EUDeclarationConformity__1__metadata.json index 2a49b72e..f8248ff9 100644 --- a/metadata/EUDeclarationConformity__1__metadata.json +++ b/metadata/EUDeclarationConformity__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__6__metadata.json b/metadata/FM1003__6__metadata.json index 19702a5b..5543126d 100644 --- a/metadata/FM1003__6__metadata.json +++ b/metadata/FM1003__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__4__metadata.json b/metadata/FinancialStatements__4__metadata.json index 19477a6f..d13061a3 100644 --- a/metadata/FinancialStatements__4__metadata.json +++ b/metadata/FinancialStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__6__metadata.json b/metadata/I9__6__metadata.json index 01b5a153..bd4fbce7 100644 --- a/metadata/I9__6__metadata.json +++ b/metadata/I9__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__8__metadata.json b/metadata/IDCards__8__metadata.json index 6f155c08..84c72201 100644 --- a/metadata/IDCards__8__metadata.json +++ b/metadata/IDCards__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__14__metadata.json b/metadata/IndianInvoices__14__metadata.json index e12cafb2..07038336 100644 --- a/metadata/IndianInvoices__14__metadata.json +++ b/metadata/IndianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__7__metadata.json b/metadata/InvoicesChina__7__metadata.json index a5cf4585..ec13b64b 100644 --- a/metadata/InvoicesChina__7__metadata.json +++ b/metadata/InvoicesChina__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__1__metadata.json b/metadata/InvoicesShipping__1__metadata.json index ca1304c8..0893b978 100644 --- a/metadata/InvoicesShipping__1__metadata.json +++ b/metadata/InvoicesShipping__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__15__metadata.json b/metadata/Invoices__15__metadata.json index a17a62cc..a453fd8d 100644 --- a/metadata/Invoices__15__metadata.json +++ b/metadata/Invoices__15__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__12__metadata.json b/metadata/JapaneseInvoices__12__metadata.json index 07edfe07..ee08976d 100644 --- a/metadata/JapaneseInvoices__12__metadata.json +++ b/metadata/JapaneseInvoices__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__4__metadata.json b/metadata/PackingLists__4__metadata.json index 0c468eeb..a35e18c5 100644 --- a/metadata/PackingLists__4__metadata.json +++ b/metadata/PackingLists__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__8__metadata.json b/metadata/Passports__8__metadata.json index 87aab00b..99092be2 100644 --- a/metadata/Passports__8__metadata.json +++ b/metadata/Passports__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__1__metadata.json b/metadata/Payslips__1__metadata.json index f9c8635f..a575eed1 100644 --- a/metadata/Payslips__1__metadata.json +++ b/metadata/Payslips__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__14__metadata.json b/metadata/PurchaseOrders__14__metadata.json index e0e4a49e..51e09938 100644 --- a/metadata/PurchaseOrders__14__metadata.json +++ b/metadata/PurchaseOrders__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__15__metadata.json b/metadata/Receipts__15__metadata.json index 9d13fe16..0ae402f8 100644 --- a/metadata/Receipts__15__metadata.json +++ b/metadata/Receipts__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__7__metadata.json b/metadata/RemittanceAdvices__7__metadata.json index 42ac6934..0f44ee0c 100644 --- a/metadata/RemittanceAdvices__7__metadata.json +++ b/metadata/RemittanceAdvices__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__6__metadata.json index 0dbafcb1..b92f63df 100644 --- a/metadata/UiPathDocumentOCR_CPU__6__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__6__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr-cpu:v23.4.0-rc60", + "imagePath": "du-doc-ocr-cpu:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__11__metadata.json b/metadata/UiPathDocumentOCR__11__metadata.json index e63fd485..b9cb5ba5 100644 --- a/metadata/UiPathDocumentOCR__11__metadata.json +++ b/metadata/UiPathDocumentOCR__11__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr:v23.4.0-rc60", + "imagePath": "du-doc-ocr:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__14__metadata.json b/metadata/UtilityBills__14__metadata.json index cce459e7..cca42685 100644 --- a/metadata/UtilityBills__14__metadata.json +++ b/metadata/UtilityBills__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__4__metadata.json b/metadata/VehicleTitles__4__metadata.json index 58af6288..f401471e 100644 --- a/metadata/VehicleTitles__4__metadata.json +++ b/metadata/VehicleTitles__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__7__metadata.json b/metadata/W2__7__metadata.json index d46c17c4..2e4cbb5a 100644 --- a/metadata/W2__7__metadata.json +++ b/metadata/W2__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__7__metadata.json b/metadata/W9__7__metadata.json index a562f55d..002c977d 100644 --- a/metadata/W9__7__metadata.json +++ b/metadata/W9__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc60", + "imagePath": "du-semistructured:v23.4.0-rc61", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 7fdf9b2c762fcc121c84c25e7fa748acac1ac64b Mon Sep 17 00:00:00 2001 From: Adrian Nicolae Popa Date: Mon, 10 Apr 2023 14:30:06 +0300 Subject: [PATCH 145/267] Update names to match internal name --- ...etadata.json => CertificatesOfIncorporation__1__metadata.json} | 0 ...n__1__metadata.json => CertificatesOfOrigin__1__metadata.json} | 0 2 files changed, 0 insertions(+), 0 deletions(-) rename metadata/{CertificatesIncorporation__1__metadata.json => CertificatesOfIncorporation__1__metadata.json} (100%) rename metadata/{CertificatesOrigin__1__metadata.json => CertificatesOfOrigin__1__metadata.json} (100%) diff --git a/metadata/CertificatesIncorporation__1__metadata.json b/metadata/CertificatesOfIncorporation__1__metadata.json similarity index 100% rename from metadata/CertificatesIncorporation__1__metadata.json rename to metadata/CertificatesOfIncorporation__1__metadata.json diff --git a/metadata/CertificatesOrigin__1__metadata.json b/metadata/CertificatesOfOrigin__1__metadata.json similarity index 100% rename from metadata/CertificatesOrigin__1__metadata.json rename to metadata/CertificatesOfOrigin__1__metadata.json From ad34a4cce349de1603e94f799e0fe20648cb8a7e Mon Sep 17 00:00:00 2001 From: Adrian Nicolae Popa Date: Mon, 10 Apr 2023 15:30:42 +0300 Subject: [PATCH 146/267] updated name to match internal name --- ..._metadata.json => EUDeclarationOfConformity__1__metadata.json} | 0 1 file changed, 0 insertions(+), 0 deletions(-) rename metadata/{EUDeclarationConformity__1__metadata.json => EUDeclarationOfConformity__1__metadata.json} (100%) diff --git a/metadata/EUDeclarationConformity__1__metadata.json b/metadata/EUDeclarationOfConformity__1__metadata.json similarity index 100% rename from metadata/EUDeclarationConformity__1__metadata.json rename to metadata/EUDeclarationOfConformity__1__metadata.json From 1191fd3e08e0defb1d10688df1d8308e66c47a82 Mon Sep 17 00:00:00 2001 From: Maximilian <13082592+MaxTranced@users.noreply.github.com> Date: Mon, 10 Apr 2023 18:28:11 +0300 Subject: [PATCH 147/267] CV no longer needing command-line arguments on AiCenter [CV-624] https://uipath.atlassian.net/browse/CV-624 --- metadata/ComputerVision__5__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/ComputerVision__5__metadata.json b/metadata/ComputerVision__5__metadata.json index 17710819..3ac515fd 100644 --- a/metadata/ComputerVision__5__metadata.json +++ b/metadata/ComputerVision__5__metadata.json @@ -21,5 +21,5 @@ "languageVersion": 3, "version": 5, "customVersion": "23.04.1", - "imagePath": "cv2304:23.4.5.2" + "imagePath": "cv2304:23.4.5.3" } \ No newline at end of file From 72b329e8d225c5846c267520b56d3aa8dcdd7a7a Mon Sep 17 00:00:00 2001 From: Maximilian <13082592+MaxTranced@users.noreply.github.com> Date: Wed, 12 Apr 2023 07:20:16 +0300 Subject: [PATCH 148/267] CV: test changing of the logs location (#229) `/app` is not writable so writing logs to the `/workspace/logs` directory. --- metadata/ComputerVision__5__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/ComputerVision__5__metadata.json b/metadata/ComputerVision__5__metadata.json index 3ac515fd..c8eaff54 100644 --- a/metadata/ComputerVision__5__metadata.json +++ b/metadata/ComputerVision__5__metadata.json @@ -21,5 +21,5 @@ "languageVersion": 3, "version": 5, "customVersion": "23.04.1", - "imagePath": "cv2304:23.4.5.3" + "imagePath": "cv2304:23.4.5.4" } \ No newline at end of file From cbd1509da225b152e27f0056fe763f2f4399ae74 Mon Sep 17 00:00:00 2001 From: Maximilian <13082592+MaxTranced@users.noreply.github.com> Date: Wed, 12 Apr 2023 16:34:26 +0300 Subject: [PATCH 149/267] CV: Fixing docker image startup --- metadata/ComputerVision__5__metadata.json | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/metadata/ComputerVision__5__metadata.json b/metadata/ComputerVision__5__metadata.json index c8eaff54..a37ce2da 100644 --- a/metadata/ComputerVision__5__metadata.json +++ b/metadata/ComputerVision__5__metadata.json @@ -21,5 +21,6 @@ "languageVersion": 3, "version": 5, "customVersion": "23.04.1", - "imagePath": "cv2304:23.4.5.4" + "imagePath": "cv2304:23.4.5.5", + "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" } \ No newline at end of file From 0413b64d1468428e787f7ed83fcaafb10931f55d Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Thu, 13 Apr 2023 14:31:24 +0300 Subject: [PATCH 150/267] [23.4] Update DU image tags --- metadata/1040__4__metadata.json | 2 +- metadata/4506T__6__metadata.json | 2 +- metadata/990__6__metadata.json | 2 +- metadata/Acord125__6__metadata.json | 2 +- metadata/Acord126__4__metadata.json | 2 +- metadata/Acord131__4__metadata.json | 2 +- metadata/Acord140__4__metadata.json | 2 +- metadata/Acord25__4__metadata.json | 2 +- metadata/AustralianInvoices__14__metadata.json | 2 +- metadata/BankStatements__4__metadata.json | 2 +- metadata/BillsOfLading__4__metadata.json | 2 +- metadata/CMS1500__1__metadata.json | 2 +- metadata/CertificatesOfIncorporation__1__metadata.json | 2 +- metadata/CertificatesOfOrigin__1__metadata.json | 2 +- metadata/Checks__4__metadata.json | 2 +- metadata/ChildrenProductCertificates__1__metadata.json | 2 +- metadata/DocumentClassifier__9__metadata.json | 2 +- metadata/DocumentUnderstanding__15__metadata.json | 2 +- metadata/EUDeclarationOfConformity__1__metadata.json | 2 +- metadata/FM1003__6__metadata.json | 2 +- metadata/FinancialStatements__4__metadata.json | 2 +- metadata/I9__6__metadata.json | 2 +- metadata/IDCards__8__metadata.json | 2 +- metadata/IndianInvoices__14__metadata.json | 2 +- metadata/InvoicesChina__7__metadata.json | 2 +- metadata/InvoicesShipping__1__metadata.json | 2 +- metadata/Invoices__15__metadata.json | 2 +- metadata/JapaneseInvoices__12__metadata.json | 2 +- metadata/PackingLists__4__metadata.json | 2 +- metadata/Passports__8__metadata.json | 2 +- metadata/Payslips__1__metadata.json | 2 +- metadata/PurchaseOrders__14__metadata.json | 2 +- metadata/Receipts__15__metadata.json | 2 +- metadata/RemittanceAdvices__7__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__6__metadata.json | 2 +- metadata/UiPathDocumentOCR__11__metadata.json | 2 +- metadata/UtilityBills__14__metadata.json | 2 +- metadata/VehicleTitles__4__metadata.json | 2 +- metadata/W2__7__metadata.json | 2 +- metadata/W9__7__metadata.json | 2 +- 40 files changed, 40 insertions(+), 40 deletions(-) diff --git a/metadata/1040__4__metadata.json b/metadata/1040__4__metadata.json index 7b0bfa26..b6304f7d 100644 --- a/metadata/1040__4__metadata.json +++ b/metadata/1040__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__6__metadata.json b/metadata/4506T__6__metadata.json index 7856b956..650168c4 100644 --- a/metadata/4506T__6__metadata.json +++ b/metadata/4506T__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__6__metadata.json b/metadata/990__6__metadata.json index 7148fc61..1016f7e1 100644 --- a/metadata/990__6__metadata.json +++ b/metadata/990__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__6__metadata.json b/metadata/Acord125__6__metadata.json index 3a34a896..70779354 100644 --- a/metadata/Acord125__6__metadata.json +++ b/metadata/Acord125__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__4__metadata.json b/metadata/Acord126__4__metadata.json index 01de80b0..f22e1ab6 100644 --- a/metadata/Acord126__4__metadata.json +++ b/metadata/Acord126__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__4__metadata.json b/metadata/Acord131__4__metadata.json index e31750fb..73809ad4 100644 --- a/metadata/Acord131__4__metadata.json +++ b/metadata/Acord131__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__4__metadata.json b/metadata/Acord140__4__metadata.json index b3bfcd79..8b9e4edf 100644 --- a/metadata/Acord140__4__metadata.json +++ b/metadata/Acord140__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__4__metadata.json b/metadata/Acord25__4__metadata.json index 9a2f6c30..19487d3c 100644 --- a/metadata/Acord25__4__metadata.json +++ b/metadata/Acord25__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__14__metadata.json b/metadata/AustralianInvoices__14__metadata.json index 5f7eb895..d81d6336 100644 --- a/metadata/AustralianInvoices__14__metadata.json +++ b/metadata/AustralianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__4__metadata.json b/metadata/BankStatements__4__metadata.json index 58d1f24d..3aaef6a5 100644 --- a/metadata/BankStatements__4__metadata.json +++ b/metadata/BankStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__4__metadata.json b/metadata/BillsOfLading__4__metadata.json index 0d0fbe4a..bf23ab28 100644 --- a/metadata/BillsOfLading__4__metadata.json +++ b/metadata/BillsOfLading__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__1__metadata.json b/metadata/CMS1500__1__metadata.json index 90e3420d..5098c4dd 100644 --- a/metadata/CMS1500__1__metadata.json +++ b/metadata/CMS1500__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__1__metadata.json b/metadata/CertificatesOfIncorporation__1__metadata.json index 417fbebd..e62176a2 100644 --- a/metadata/CertificatesOfIncorporation__1__metadata.json +++ b/metadata/CertificatesOfIncorporation__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__1__metadata.json b/metadata/CertificatesOfOrigin__1__metadata.json index fe483093..a78f2a72 100644 --- a/metadata/CertificatesOfOrigin__1__metadata.json +++ b/metadata/CertificatesOfOrigin__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__4__metadata.json b/metadata/Checks__4__metadata.json index 5bbe75bf..58474b4a 100644 --- a/metadata/Checks__4__metadata.json +++ b/metadata/Checks__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__1__metadata.json b/metadata/ChildrenProductCertificates__1__metadata.json index 85d925d7..aece405c 100644 --- a/metadata/ChildrenProductCertificates__1__metadata.json +++ b/metadata/ChildrenProductCertificates__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__9__metadata.json b/metadata/DocumentClassifier__9__metadata.json index db2f9516..6cd0c6d5 100644 --- a/metadata/DocumentClassifier__9__metadata.json +++ b/metadata/DocumentClassifier__9__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.0", - "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc61", + "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__15__metadata.json b/metadata/DocumentUnderstanding__15__metadata.json index 80234299..9556ecee 100644 --- a/metadata/DocumentUnderstanding__15__metadata.json +++ b/metadata/DocumentUnderstanding__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__1__metadata.json b/metadata/EUDeclarationOfConformity__1__metadata.json index f8248ff9..6ca10789 100644 --- a/metadata/EUDeclarationOfConformity__1__metadata.json +++ b/metadata/EUDeclarationOfConformity__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__6__metadata.json b/metadata/FM1003__6__metadata.json index 5543126d..578016a0 100644 --- a/metadata/FM1003__6__metadata.json +++ b/metadata/FM1003__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__4__metadata.json b/metadata/FinancialStatements__4__metadata.json index d13061a3..4f603b10 100644 --- a/metadata/FinancialStatements__4__metadata.json +++ b/metadata/FinancialStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__6__metadata.json b/metadata/I9__6__metadata.json index bd4fbce7..3520377d 100644 --- a/metadata/I9__6__metadata.json +++ b/metadata/I9__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__8__metadata.json b/metadata/IDCards__8__metadata.json index 84c72201..a6d842c7 100644 --- a/metadata/IDCards__8__metadata.json +++ b/metadata/IDCards__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__14__metadata.json b/metadata/IndianInvoices__14__metadata.json index 07038336..ef7e584f 100644 --- a/metadata/IndianInvoices__14__metadata.json +++ b/metadata/IndianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__7__metadata.json b/metadata/InvoicesChina__7__metadata.json index ec13b64b..7b9adf97 100644 --- a/metadata/InvoicesChina__7__metadata.json +++ b/metadata/InvoicesChina__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__1__metadata.json b/metadata/InvoicesShipping__1__metadata.json index 0893b978..7da6c479 100644 --- a/metadata/InvoicesShipping__1__metadata.json +++ b/metadata/InvoicesShipping__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__15__metadata.json b/metadata/Invoices__15__metadata.json index a453fd8d..7ed192bb 100644 --- a/metadata/Invoices__15__metadata.json +++ b/metadata/Invoices__15__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__12__metadata.json b/metadata/JapaneseInvoices__12__metadata.json index ee08976d..52c0cfc1 100644 --- a/metadata/JapaneseInvoices__12__metadata.json +++ b/metadata/JapaneseInvoices__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__4__metadata.json b/metadata/PackingLists__4__metadata.json index a35e18c5..6fa8f92e 100644 --- a/metadata/PackingLists__4__metadata.json +++ b/metadata/PackingLists__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__8__metadata.json b/metadata/Passports__8__metadata.json index 99092be2..13acd1bb 100644 --- a/metadata/Passports__8__metadata.json +++ b/metadata/Passports__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__1__metadata.json b/metadata/Payslips__1__metadata.json index a575eed1..426042b4 100644 --- a/metadata/Payslips__1__metadata.json +++ b/metadata/Payslips__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__14__metadata.json b/metadata/PurchaseOrders__14__metadata.json index 51e09938..4a0e2058 100644 --- a/metadata/PurchaseOrders__14__metadata.json +++ b/metadata/PurchaseOrders__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__15__metadata.json b/metadata/Receipts__15__metadata.json index 0ae402f8..b873b2da 100644 --- a/metadata/Receipts__15__metadata.json +++ b/metadata/Receipts__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__7__metadata.json b/metadata/RemittanceAdvices__7__metadata.json index 0f44ee0c..8922e9a6 100644 --- a/metadata/RemittanceAdvices__7__metadata.json +++ b/metadata/RemittanceAdvices__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__6__metadata.json index b92f63df..1f80b602 100644 --- a/metadata/UiPathDocumentOCR_CPU__6__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__6__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr-cpu:v23.4.0-rc61", + "imagePath": "du-doc-ocr-cpu:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__11__metadata.json b/metadata/UiPathDocumentOCR__11__metadata.json index b9cb5ba5..9eb85210 100644 --- a/metadata/UiPathDocumentOCR__11__metadata.json +++ b/metadata/UiPathDocumentOCR__11__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr:v23.4.0-rc61", + "imagePath": "du-doc-ocr:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__14__metadata.json b/metadata/UtilityBills__14__metadata.json index cca42685..90b43c44 100644 --- a/metadata/UtilityBills__14__metadata.json +++ b/metadata/UtilityBills__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__4__metadata.json b/metadata/VehicleTitles__4__metadata.json index f401471e..7e62b189 100644 --- a/metadata/VehicleTitles__4__metadata.json +++ b/metadata/VehicleTitles__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__7__metadata.json b/metadata/W2__7__metadata.json index 2e4cbb5a..caed7941 100644 --- a/metadata/W2__7__metadata.json +++ b/metadata/W2__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__7__metadata.json b/metadata/W9__7__metadata.json index 002c977d..3234b2f8 100644 --- a/metadata/W9__7__metadata.json +++ b/metadata/W9__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc61", + "imagePath": "du-semistructured:v23.4.0-rc66", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From e537d2450fdc2d0b142cea5a61e89f33405b5074 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Thu, 13 Apr 2023 21:49:40 +0300 Subject: [PATCH 151/267] Update du ml image tags to v23.4.0-rc67 --- metadata/1040__4__metadata.json | 2 +- metadata/4506T__6__metadata.json | 2 +- metadata/990__6__metadata.json | 2 +- metadata/Acord125__6__metadata.json | 2 +- metadata/Acord126__4__metadata.json | 2 +- metadata/Acord131__4__metadata.json | 2 +- metadata/Acord140__4__metadata.json | 2 +- metadata/Acord25__4__metadata.json | 2 +- metadata/AustralianInvoices__14__metadata.json | 2 +- metadata/BankStatements__4__metadata.json | 2 +- metadata/BillsOfLading__4__metadata.json | 2 +- metadata/CMS1500__1__metadata.json | 2 +- metadata/CertificatesOfIncorporation__1__metadata.json | 2 +- metadata/CertificatesOfOrigin__1__metadata.json | 2 +- metadata/Checks__4__metadata.json | 2 +- metadata/ChildrenProductCertificates__1__metadata.json | 2 +- metadata/DocumentClassifier__9__metadata.json | 2 +- metadata/DocumentUnderstanding__15__metadata.json | 2 +- metadata/EUDeclarationOfConformity__1__metadata.json | 2 +- metadata/FM1003__6__metadata.json | 2 +- metadata/FinancialStatements__4__metadata.json | 2 +- metadata/I9__6__metadata.json | 2 +- metadata/IDCards__8__metadata.json | 2 +- metadata/IndianInvoices__14__metadata.json | 2 +- metadata/InvoicesChina__7__metadata.json | 2 +- metadata/InvoicesShipping__1__metadata.json | 2 +- metadata/Invoices__15__metadata.json | 2 +- metadata/JapaneseInvoices__12__metadata.json | 2 +- metadata/PackingLists__4__metadata.json | 2 +- metadata/Passports__8__metadata.json | 2 +- metadata/Payslips__1__metadata.json | 2 +- metadata/PurchaseOrders__14__metadata.json | 2 +- metadata/Receipts__15__metadata.json | 2 +- metadata/RemittanceAdvices__7__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__6__metadata.json | 2 +- metadata/UiPathDocumentOCR__11__metadata.json | 2 +- metadata/UtilityBills__14__metadata.json | 2 +- metadata/VehicleTitles__4__metadata.json | 2 +- metadata/W2__7__metadata.json | 2 +- metadata/W9__7__metadata.json | 2 +- 40 files changed, 40 insertions(+), 40 deletions(-) diff --git a/metadata/1040__4__metadata.json b/metadata/1040__4__metadata.json index b6304f7d..0f728ba9 100644 --- a/metadata/1040__4__metadata.json +++ b/metadata/1040__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__6__metadata.json b/metadata/4506T__6__metadata.json index 650168c4..93dc9c9f 100644 --- a/metadata/4506T__6__metadata.json +++ b/metadata/4506T__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__6__metadata.json b/metadata/990__6__metadata.json index 1016f7e1..20093ef4 100644 --- a/metadata/990__6__metadata.json +++ b/metadata/990__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__6__metadata.json b/metadata/Acord125__6__metadata.json index 70779354..f32d086e 100644 --- a/metadata/Acord125__6__metadata.json +++ b/metadata/Acord125__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__4__metadata.json b/metadata/Acord126__4__metadata.json index f22e1ab6..36c04bcc 100644 --- a/metadata/Acord126__4__metadata.json +++ b/metadata/Acord126__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__4__metadata.json b/metadata/Acord131__4__metadata.json index 73809ad4..a0ccec2a 100644 --- a/metadata/Acord131__4__metadata.json +++ b/metadata/Acord131__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__4__metadata.json b/metadata/Acord140__4__metadata.json index 8b9e4edf..8d52c328 100644 --- a/metadata/Acord140__4__metadata.json +++ b/metadata/Acord140__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__4__metadata.json b/metadata/Acord25__4__metadata.json index 19487d3c..e182e56d 100644 --- a/metadata/Acord25__4__metadata.json +++ b/metadata/Acord25__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__14__metadata.json b/metadata/AustralianInvoices__14__metadata.json index d81d6336..07be8728 100644 --- a/metadata/AustralianInvoices__14__metadata.json +++ b/metadata/AustralianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__4__metadata.json b/metadata/BankStatements__4__metadata.json index 3aaef6a5..70d18dd4 100644 --- a/metadata/BankStatements__4__metadata.json +++ b/metadata/BankStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__4__metadata.json b/metadata/BillsOfLading__4__metadata.json index bf23ab28..9df10d16 100644 --- a/metadata/BillsOfLading__4__metadata.json +++ b/metadata/BillsOfLading__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__1__metadata.json b/metadata/CMS1500__1__metadata.json index 5098c4dd..ac388026 100644 --- a/metadata/CMS1500__1__metadata.json +++ b/metadata/CMS1500__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__1__metadata.json b/metadata/CertificatesOfIncorporation__1__metadata.json index e62176a2..b922e836 100644 --- a/metadata/CertificatesOfIncorporation__1__metadata.json +++ b/metadata/CertificatesOfIncorporation__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__1__metadata.json b/metadata/CertificatesOfOrigin__1__metadata.json index a78f2a72..4617f5a6 100644 --- a/metadata/CertificatesOfOrigin__1__metadata.json +++ b/metadata/CertificatesOfOrigin__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__4__metadata.json b/metadata/Checks__4__metadata.json index 58474b4a..df9390d0 100644 --- a/metadata/Checks__4__metadata.json +++ b/metadata/Checks__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__1__metadata.json b/metadata/ChildrenProductCertificates__1__metadata.json index aece405c..68ff5555 100644 --- a/metadata/ChildrenProductCertificates__1__metadata.json +++ b/metadata/ChildrenProductCertificates__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__9__metadata.json b/metadata/DocumentClassifier__9__metadata.json index 6cd0c6d5..28a74604 100644 --- a/metadata/DocumentClassifier__9__metadata.json +++ b/metadata/DocumentClassifier__9__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.0", - "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc66", + "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__15__metadata.json b/metadata/DocumentUnderstanding__15__metadata.json index 9556ecee..d96abfe2 100644 --- a/metadata/DocumentUnderstanding__15__metadata.json +++ b/metadata/DocumentUnderstanding__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__1__metadata.json b/metadata/EUDeclarationOfConformity__1__metadata.json index 6ca10789..b04a4952 100644 --- a/metadata/EUDeclarationOfConformity__1__metadata.json +++ b/metadata/EUDeclarationOfConformity__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__6__metadata.json b/metadata/FM1003__6__metadata.json index 578016a0..85d1cff7 100644 --- a/metadata/FM1003__6__metadata.json +++ b/metadata/FM1003__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__4__metadata.json b/metadata/FinancialStatements__4__metadata.json index 4f603b10..7f3d88c7 100644 --- a/metadata/FinancialStatements__4__metadata.json +++ b/metadata/FinancialStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__6__metadata.json b/metadata/I9__6__metadata.json index 3520377d..47baefbf 100644 --- a/metadata/I9__6__metadata.json +++ b/metadata/I9__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__8__metadata.json b/metadata/IDCards__8__metadata.json index a6d842c7..e4b5109b 100644 --- a/metadata/IDCards__8__metadata.json +++ b/metadata/IDCards__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__14__metadata.json b/metadata/IndianInvoices__14__metadata.json index ef7e584f..0a1215e0 100644 --- a/metadata/IndianInvoices__14__metadata.json +++ b/metadata/IndianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__7__metadata.json b/metadata/InvoicesChina__7__metadata.json index 7b9adf97..a31e7bad 100644 --- a/metadata/InvoicesChina__7__metadata.json +++ b/metadata/InvoicesChina__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__1__metadata.json b/metadata/InvoicesShipping__1__metadata.json index 7da6c479..85133a6d 100644 --- a/metadata/InvoicesShipping__1__metadata.json +++ b/metadata/InvoicesShipping__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__15__metadata.json b/metadata/Invoices__15__metadata.json index 7ed192bb..d5224898 100644 --- a/metadata/Invoices__15__metadata.json +++ b/metadata/Invoices__15__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__12__metadata.json b/metadata/JapaneseInvoices__12__metadata.json index 52c0cfc1..2f928786 100644 --- a/metadata/JapaneseInvoices__12__metadata.json +++ b/metadata/JapaneseInvoices__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__4__metadata.json b/metadata/PackingLists__4__metadata.json index 6fa8f92e..cd9194d9 100644 --- a/metadata/PackingLists__4__metadata.json +++ b/metadata/PackingLists__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__8__metadata.json b/metadata/Passports__8__metadata.json index 13acd1bb..91002743 100644 --- a/metadata/Passports__8__metadata.json +++ b/metadata/Passports__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__1__metadata.json b/metadata/Payslips__1__metadata.json index 426042b4..7e2de9b3 100644 --- a/metadata/Payslips__1__metadata.json +++ b/metadata/Payslips__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__14__metadata.json b/metadata/PurchaseOrders__14__metadata.json index 4a0e2058..211a26c8 100644 --- a/metadata/PurchaseOrders__14__metadata.json +++ b/metadata/PurchaseOrders__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__15__metadata.json b/metadata/Receipts__15__metadata.json index b873b2da..fd30b7b7 100644 --- a/metadata/Receipts__15__metadata.json +++ b/metadata/Receipts__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__7__metadata.json b/metadata/RemittanceAdvices__7__metadata.json index 8922e9a6..cef71314 100644 --- a/metadata/RemittanceAdvices__7__metadata.json +++ b/metadata/RemittanceAdvices__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__6__metadata.json index 1f80b602..16e872cb 100644 --- a/metadata/UiPathDocumentOCR_CPU__6__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__6__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr-cpu:v23.4.0-rc66", + "imagePath": "du-doc-ocr-cpu:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__11__metadata.json b/metadata/UiPathDocumentOCR__11__metadata.json index 9eb85210..727746f3 100644 --- a/metadata/UiPathDocumentOCR__11__metadata.json +++ b/metadata/UiPathDocumentOCR__11__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr:v23.4.0-rc66", + "imagePath": "du-doc-ocr:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__14__metadata.json b/metadata/UtilityBills__14__metadata.json index 90b43c44..915ad844 100644 --- a/metadata/UtilityBills__14__metadata.json +++ b/metadata/UtilityBills__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__4__metadata.json b/metadata/VehicleTitles__4__metadata.json index 7e62b189..212469be 100644 --- a/metadata/VehicleTitles__4__metadata.json +++ b/metadata/VehicleTitles__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__7__metadata.json b/metadata/W2__7__metadata.json index caed7941..2238b792 100644 --- a/metadata/W2__7__metadata.json +++ b/metadata/W2__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__7__metadata.json b/metadata/W9__7__metadata.json index 3234b2f8..a212e391 100644 --- a/metadata/W9__7__metadata.json +++ b/metadata/W9__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc66", + "imagePath": "du-semistructured:v23.4.0-rc67", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From ec0a0dbddf1a898fc2ad4123319dbd40a8b63021 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Wed, 19 Apr 2023 12:21:29 +0300 Subject: [PATCH 152/267] Update du ml image tags to v23.4.0-rc70 --- metadata/1040__4__metadata.json | 2 +- metadata/4506T__6__metadata.json | 2 +- metadata/990__6__metadata.json | 2 +- metadata/Acord125__6__metadata.json | 2 +- metadata/Acord126__4__metadata.json | 2 +- metadata/Acord131__4__metadata.json | 2 +- metadata/Acord140__4__metadata.json | 2 +- metadata/Acord25__4__metadata.json | 2 +- metadata/AustralianInvoices__14__metadata.json | 2 +- metadata/BankStatements__4__metadata.json | 2 +- metadata/BillsOfLading__4__metadata.json | 2 +- metadata/CMS1500__1__metadata.json | 2 +- metadata/CertificatesOfIncorporation__1__metadata.json | 2 +- metadata/CertificatesOfOrigin__1__metadata.json | 2 +- metadata/Checks__4__metadata.json | 2 +- metadata/ChildrenProductCertificates__1__metadata.json | 2 +- metadata/DocumentClassifier__9__metadata.json | 2 +- metadata/DocumentUnderstanding__15__metadata.json | 2 +- metadata/EUDeclarationOfConformity__1__metadata.json | 2 +- metadata/FM1003__6__metadata.json | 2 +- metadata/FinancialStatements__4__metadata.json | 2 +- metadata/I9__6__metadata.json | 2 +- metadata/IDCards__8__metadata.json | 2 +- metadata/IndianInvoices__14__metadata.json | 2 +- metadata/InvoicesChina__7__metadata.json | 2 +- metadata/InvoicesShipping__1__metadata.json | 2 +- metadata/Invoices__15__metadata.json | 2 +- metadata/JapaneseInvoices__12__metadata.json | 2 +- metadata/PackingLists__4__metadata.json | 2 +- metadata/Passports__8__metadata.json | 2 +- metadata/Payslips__1__metadata.json | 2 +- metadata/PurchaseOrders__14__metadata.json | 2 +- metadata/Receipts__15__metadata.json | 2 +- metadata/RemittanceAdvices__7__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__6__metadata.json | 2 +- metadata/UiPathDocumentOCR__11__metadata.json | 2 +- metadata/UtilityBills__14__metadata.json | 2 +- metadata/VehicleTitles__4__metadata.json | 2 +- metadata/W2__7__metadata.json | 2 +- metadata/W9__7__metadata.json | 2 +- 40 files changed, 40 insertions(+), 40 deletions(-) diff --git a/metadata/1040__4__metadata.json b/metadata/1040__4__metadata.json index 0f728ba9..d905e146 100644 --- a/metadata/1040__4__metadata.json +++ b/metadata/1040__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__6__metadata.json b/metadata/4506T__6__metadata.json index 93dc9c9f..63380b35 100644 --- a/metadata/4506T__6__metadata.json +++ b/metadata/4506T__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__6__metadata.json b/metadata/990__6__metadata.json index 20093ef4..59e05251 100644 --- a/metadata/990__6__metadata.json +++ b/metadata/990__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__6__metadata.json b/metadata/Acord125__6__metadata.json index f32d086e..de01b48c 100644 --- a/metadata/Acord125__6__metadata.json +++ b/metadata/Acord125__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__4__metadata.json b/metadata/Acord126__4__metadata.json index 36c04bcc..36953e62 100644 --- a/metadata/Acord126__4__metadata.json +++ b/metadata/Acord126__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__4__metadata.json b/metadata/Acord131__4__metadata.json index a0ccec2a..3fe34816 100644 --- a/metadata/Acord131__4__metadata.json +++ b/metadata/Acord131__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__4__metadata.json b/metadata/Acord140__4__metadata.json index 8d52c328..90909ee4 100644 --- a/metadata/Acord140__4__metadata.json +++ b/metadata/Acord140__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__4__metadata.json b/metadata/Acord25__4__metadata.json index e182e56d..7c5ada45 100644 --- a/metadata/Acord25__4__metadata.json +++ b/metadata/Acord25__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__14__metadata.json b/metadata/AustralianInvoices__14__metadata.json index 07be8728..f18518e1 100644 --- a/metadata/AustralianInvoices__14__metadata.json +++ b/metadata/AustralianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__4__metadata.json b/metadata/BankStatements__4__metadata.json index 70d18dd4..f3673a4d 100644 --- a/metadata/BankStatements__4__metadata.json +++ b/metadata/BankStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__4__metadata.json b/metadata/BillsOfLading__4__metadata.json index 9df10d16..49708b79 100644 --- a/metadata/BillsOfLading__4__metadata.json +++ b/metadata/BillsOfLading__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__1__metadata.json b/metadata/CMS1500__1__metadata.json index ac388026..405e2a82 100644 --- a/metadata/CMS1500__1__metadata.json +++ b/metadata/CMS1500__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__1__metadata.json b/metadata/CertificatesOfIncorporation__1__metadata.json index b922e836..b8a53032 100644 --- a/metadata/CertificatesOfIncorporation__1__metadata.json +++ b/metadata/CertificatesOfIncorporation__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__1__metadata.json b/metadata/CertificatesOfOrigin__1__metadata.json index 4617f5a6..2be6977c 100644 --- a/metadata/CertificatesOfOrigin__1__metadata.json +++ b/metadata/CertificatesOfOrigin__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__4__metadata.json b/metadata/Checks__4__metadata.json index df9390d0..e5b1cd52 100644 --- a/metadata/Checks__4__metadata.json +++ b/metadata/Checks__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__1__metadata.json b/metadata/ChildrenProductCertificates__1__metadata.json index 68ff5555..4771e3c4 100644 --- a/metadata/ChildrenProductCertificates__1__metadata.json +++ b/metadata/ChildrenProductCertificates__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__9__metadata.json b/metadata/DocumentClassifier__9__metadata.json index 28a74604..a301cb40 100644 --- a/metadata/DocumentClassifier__9__metadata.json +++ b/metadata/DocumentClassifier__9__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.0", - "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc67", + "imagePath": "du-ml-document-type-text-classifier:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__15__metadata.json b/metadata/DocumentUnderstanding__15__metadata.json index d96abfe2..24e66842 100644 --- a/metadata/DocumentUnderstanding__15__metadata.json +++ b/metadata/DocumentUnderstanding__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__1__metadata.json b/metadata/EUDeclarationOfConformity__1__metadata.json index b04a4952..d66460db 100644 --- a/metadata/EUDeclarationOfConformity__1__metadata.json +++ b/metadata/EUDeclarationOfConformity__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__6__metadata.json b/metadata/FM1003__6__metadata.json index 85d1cff7..5db50652 100644 --- a/metadata/FM1003__6__metadata.json +++ b/metadata/FM1003__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__4__metadata.json b/metadata/FinancialStatements__4__metadata.json index 7f3d88c7..b2d6e4f9 100644 --- a/metadata/FinancialStatements__4__metadata.json +++ b/metadata/FinancialStatements__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__6__metadata.json b/metadata/I9__6__metadata.json index 47baefbf..fe718d9b 100644 --- a/metadata/I9__6__metadata.json +++ b/metadata/I9__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__8__metadata.json b/metadata/IDCards__8__metadata.json index e4b5109b..cac711f0 100644 --- a/metadata/IDCards__8__metadata.json +++ b/metadata/IDCards__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__14__metadata.json b/metadata/IndianInvoices__14__metadata.json index 0a1215e0..2b041e73 100644 --- a/metadata/IndianInvoices__14__metadata.json +++ b/metadata/IndianInvoices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__7__metadata.json b/metadata/InvoicesChina__7__metadata.json index a31e7bad..7ed675c7 100644 --- a/metadata/InvoicesChina__7__metadata.json +++ b/metadata/InvoicesChina__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__1__metadata.json b/metadata/InvoicesShipping__1__metadata.json index 85133a6d..1d38e775 100644 --- a/metadata/InvoicesShipping__1__metadata.json +++ b/metadata/InvoicesShipping__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__15__metadata.json b/metadata/Invoices__15__metadata.json index d5224898..b77d643f 100644 --- a/metadata/Invoices__15__metadata.json +++ b/metadata/Invoices__15__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__12__metadata.json b/metadata/JapaneseInvoices__12__metadata.json index 2f928786..a1a78c92 100644 --- a/metadata/JapaneseInvoices__12__metadata.json +++ b/metadata/JapaneseInvoices__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__4__metadata.json b/metadata/PackingLists__4__metadata.json index cd9194d9..bcbe4399 100644 --- a/metadata/PackingLists__4__metadata.json +++ b/metadata/PackingLists__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__8__metadata.json b/metadata/Passports__8__metadata.json index 91002743..90dbf6b2 100644 --- a/metadata/Passports__8__metadata.json +++ b/metadata/Passports__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__1__metadata.json b/metadata/Payslips__1__metadata.json index 7e2de9b3..c579f81c 100644 --- a/metadata/Payslips__1__metadata.json +++ b/metadata/Payslips__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__14__metadata.json b/metadata/PurchaseOrders__14__metadata.json index 211a26c8..986841d5 100644 --- a/metadata/PurchaseOrders__14__metadata.json +++ b/metadata/PurchaseOrders__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__15__metadata.json b/metadata/Receipts__15__metadata.json index fd30b7b7..bb831e9d 100644 --- a/metadata/Receipts__15__metadata.json +++ b/metadata/Receipts__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__7__metadata.json b/metadata/RemittanceAdvices__7__metadata.json index cef71314..ea780d2c 100644 --- a/metadata/RemittanceAdvices__7__metadata.json +++ b/metadata/RemittanceAdvices__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__6__metadata.json index 16e872cb..4c99d1ab 100644 --- a/metadata/UiPathDocumentOCR_CPU__6__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__6__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr-cpu:v23.4.0-rc67", + "imagePath": "du-doc-ocr-cpu:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__11__metadata.json b/metadata/UiPathDocumentOCR__11__metadata.json index 727746f3..715a9b0c 100644 --- a/metadata/UiPathDocumentOCR__11__metadata.json +++ b/metadata/UiPathDocumentOCR__11__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.0", - "imagePath": "du-doc-ocr:v23.4.0-rc67", + "imagePath": "du-doc-ocr:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__14__metadata.json b/metadata/UtilityBills__14__metadata.json index 915ad844..2546aac7 100644 --- a/metadata/UtilityBills__14__metadata.json +++ b/metadata/UtilityBills__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__4__metadata.json b/metadata/VehicleTitles__4__metadata.json index 212469be..1ff23395 100644 --- a/metadata/VehicleTitles__4__metadata.json +++ b/metadata/VehicleTitles__4__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 4, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__7__metadata.json b/metadata/W2__7__metadata.json index 2238b792..ae6aaf16 100644 --- a/metadata/W2__7__metadata.json +++ b/metadata/W2__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__7__metadata.json b/metadata/W9__7__metadata.json index a212e391..7cc0e12c 100644 --- a/metadata/W9__7__metadata.json +++ b/metadata/W9__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc67", + "imagePath": "du-semistructured:v23.4.0-rc70", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From fd293f5a87604ec83956c11dda1ee312ec4158de Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Wed, 17 May 2023 17:22:26 +0300 Subject: [PATCH 153/267] Metadata for 22.10.6 CU --- metadata/1040__6__metadata.json | 34 +++++++++++++++++++ metadata/4506T__8__metadata.json | 34 +++++++++++++++++++ metadata/990__8__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__8__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__6__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__6__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__6__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__6__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__16__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__6__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__6__metadata.json | 33 ++++++++++++++++++ metadata/Checks__6__metadata.json | 33 ++++++++++++++++++ .../DocumentClassifier__10__metadata.json | 26 ++++++++++++++ .../DocumentUnderstanding__17__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__8__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__6__metadata.json | 33 ++++++++++++++++++ metadata/I9__8__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__10__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__16__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__9__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__17__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__14__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__6__metadata.json | 33 ++++++++++++++++++ metadata/Passports__10__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__16__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__17__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__9__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__7__metadata.json | 26 ++++++++++++++ metadata/UiPathDocumentOCR__12__metadata.json | 26 ++++++++++++++ metadata/UtilityBills__16__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__6__metadata.json | 33 ++++++++++++++++++ metadata/W2__9__metadata.json | 34 +++++++++++++++++++ metadata/W9__9__metadata.json | 34 +++++++++++++++++++ 33 files changed, 1091 insertions(+) create mode 100644 metadata/1040__6__metadata.json create mode 100644 metadata/4506T__8__metadata.json create mode 100644 metadata/990__8__metadata.json create mode 100644 metadata/Acord125__8__metadata.json create mode 100644 metadata/Acord126__6__metadata.json create mode 100644 metadata/Acord131__6__metadata.json create mode 100644 metadata/Acord140__6__metadata.json create mode 100644 metadata/Acord25__6__metadata.json create mode 100644 metadata/AustralianInvoices__16__metadata.json create mode 100644 metadata/BankStatements__6__metadata.json create mode 100644 metadata/BillsOfLading__6__metadata.json create mode 100644 metadata/Checks__6__metadata.json create mode 100644 metadata/DocumentClassifier__10__metadata.json create mode 100644 metadata/DocumentUnderstanding__17__metadata.json create mode 100644 metadata/FM1003__8__metadata.json create mode 100644 metadata/FinancialStatements__6__metadata.json create mode 100644 metadata/I9__8__metadata.json create mode 100644 metadata/IDCards__10__metadata.json create mode 100644 metadata/IndianInvoices__16__metadata.json create mode 100644 metadata/InvoicesChina__9__metadata.json create mode 100644 metadata/Invoices__17__metadata.json create mode 100644 metadata/JapaneseInvoices__14__metadata.json create mode 100644 metadata/PackingLists__6__metadata.json create mode 100644 metadata/Passports__10__metadata.json create mode 100644 metadata/PurchaseOrders__16__metadata.json create mode 100644 metadata/Receipts__17__metadata.json create mode 100644 metadata/RemittanceAdvices__9__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__7__metadata.json create mode 100644 metadata/UiPathDocumentOCR__12__metadata.json create mode 100644 metadata/UtilityBills__16__metadata.json create mode 100644 metadata/VehicleTitles__6__metadata.json create mode 100644 metadata/W2__9__metadata.json create mode 100644 metadata/W9__9__metadata.json diff --git a/metadata/1040__6__metadata.json b/metadata/1040__6__metadata.json new file mode 100644 index 00000000..4ce28539 --- /dev/null +++ b/metadata/1040__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__8__metadata.json b/metadata/4506T__8__metadata.json new file mode 100644 index 00000000..8747bf61 --- /dev/null +++ b/metadata/4506T__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__8__metadata.json b/metadata/990__8__metadata.json new file mode 100644 index 00000000..98015a5e --- /dev/null +++ b/metadata/990__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__8__metadata.json b/metadata/Acord125__8__metadata.json new file mode 100644 index 00000000..a58fa764 --- /dev/null +++ b/metadata/Acord125__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__6__metadata.json b/metadata/Acord126__6__metadata.json new file mode 100644 index 00000000..0ead12f1 --- /dev/null +++ b/metadata/Acord126__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__6__metadata.json b/metadata/Acord131__6__metadata.json new file mode 100644 index 00000000..2cbf72c0 --- /dev/null +++ b/metadata/Acord131__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__6__metadata.json b/metadata/Acord140__6__metadata.json new file mode 100644 index 00000000..f9f7b274 --- /dev/null +++ b/metadata/Acord140__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__6__metadata.json b/metadata/Acord25__6__metadata.json new file mode 100644 index 00000000..3fd8d40b --- /dev/null +++ b/metadata/Acord25__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__16__metadata.json b/metadata/AustralianInvoices__16__metadata.json new file mode 100644 index 00000000..753e91fa --- /dev/null +++ b/metadata/AustralianInvoices__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__6__metadata.json b/metadata/BankStatements__6__metadata.json new file mode 100644 index 00000000..0e099c37 --- /dev/null +++ b/metadata/BankStatements__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__6__metadata.json b/metadata/BillsOfLading__6__metadata.json new file mode 100644 index 00000000..93d96615 --- /dev/null +++ b/metadata/BillsOfLading__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__6__metadata.json b/metadata/Checks__6__metadata.json new file mode 100644 index 00000000..8f165c11 --- /dev/null +++ b/metadata/Checks__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentClassifier__10__metadata.json b/metadata/DocumentClassifier__10__metadata.json new file mode 100644 index 00000000..3efbccec --- /dev/null +++ b/metadata/DocumentClassifier__10__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.6", + "imagePath": "du-ml-document-type-text-classifier:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__17__metadata.json b/metadata/DocumentUnderstanding__17__metadata.json new file mode 100644 index 00000000..739f1ab5 --- /dev/null +++ b/metadata/DocumentUnderstanding__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__8__metadata.json b/metadata/FM1003__8__metadata.json new file mode 100644 index 00000000..bb497031 --- /dev/null +++ b/metadata/FM1003__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__6__metadata.json b/metadata/FinancialStatements__6__metadata.json new file mode 100644 index 00000000..6a580b9f --- /dev/null +++ b/metadata/FinancialStatements__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__8__metadata.json b/metadata/I9__8__metadata.json new file mode 100644 index 00000000..a32100a4 --- /dev/null +++ b/metadata/I9__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__10__metadata.json b/metadata/IDCards__10__metadata.json new file mode 100644 index 00000000..5342a822 --- /dev/null +++ b/metadata/IDCards__10__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__16__metadata.json b/metadata/IndianInvoices__16__metadata.json new file mode 100644 index 00000000..563eefc1 --- /dev/null +++ b/metadata/IndianInvoices__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__9__metadata.json b/metadata/InvoicesChina__9__metadata.json new file mode 100644 index 00000000..32b523b5 --- /dev/null +++ b/metadata/InvoicesChina__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__17__metadata.json b/metadata/Invoices__17__metadata.json new file mode 100644 index 00000000..e3c5e6fe --- /dev/null +++ b/metadata/Invoices__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__14__metadata.json b/metadata/JapaneseInvoices__14__metadata.json new file mode 100644 index 00000000..e1f10584 --- /dev/null +++ b/metadata/JapaneseInvoices__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__6__metadata.json b/metadata/PackingLists__6__metadata.json new file mode 100644 index 00000000..115f12f2 --- /dev/null +++ b/metadata/PackingLists__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__10__metadata.json b/metadata/Passports__10__metadata.json new file mode 100644 index 00000000..cb29b5b0 --- /dev/null +++ b/metadata/Passports__10__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__16__metadata.json b/metadata/PurchaseOrders__16__metadata.json new file mode 100644 index 00000000..b67369ae --- /dev/null +++ b/metadata/PurchaseOrders__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__17__metadata.json b/metadata/Receipts__17__metadata.json new file mode 100644 index 00000000..3cc2ca0d --- /dev/null +++ b/metadata/Receipts__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__9__metadata.json b/metadata/RemittanceAdvices__9__metadata.json new file mode 100644 index 00000000..65e8861a --- /dev/null +++ b/metadata/RemittanceAdvices__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR_CPU__7__metadata.json b/metadata/UiPathDocumentOCR_CPU__7__metadata.json new file mode 100644 index 00000000..765de41f --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__7__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "22.10.6", + "imagePath": "du-doc-ocr-cpu:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__12__metadata.json b/metadata/UiPathDocumentOCR__12__metadata.json new file mode 100644 index 00000000..4e8e1d05 --- /dev/null +++ b/metadata/UiPathDocumentOCR__12__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.6", + "imagePath": "du-doc-ocr:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__16__metadata.json b/metadata/UtilityBills__16__metadata.json new file mode 100644 index 00000000..3b7cdc92 --- /dev/null +++ b/metadata/UtilityBills__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__6__metadata.json b/metadata/VehicleTitles__6__metadata.json new file mode 100644 index 00000000..09f601ab --- /dev/null +++ b/metadata/VehicleTitles__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__9__metadata.json b/metadata/W2__9__metadata.json new file mode 100644 index 00000000..c9e4e6fa --- /dev/null +++ b/metadata/W2__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__9__metadata.json b/metadata/W9__9__metadata.json new file mode 100644 index 00000000..b936a7d0 --- /dev/null +++ b/metadata/W9__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.6", + "imagePath": "du-semistructured:v22.10.6-rc2", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From a69e9a9fdd0d4c9a1b660844a39e002ab740ffc0 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Wed, 17 May 2023 17:12:37 +0300 Subject: [PATCH 154/267] Metadata for 23.4.1 CU --- metadata/1040__5__metadata.json | 34 +++++++++++++++++++ metadata/4506T__7__metadata.json | 34 +++++++++++++++++++ metadata/990__7__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__7__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__5__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__5__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__5__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__5__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__15__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__5__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__5__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__2__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__2__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__2__metadata.json | 34 +++++++++++++++++++ metadata/Checks__5__metadata.json | 33 ++++++++++++++++++ ...ldrenProductCertificates__2__metadata.json | 34 +++++++++++++++++++ .../DocumentUnderstanding__16__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__2__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__7__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__5__metadata.json | 33 ++++++++++++++++++ metadata/I9__7__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__9__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__15__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__8__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__2__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__16__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__13__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__5__metadata.json | 33 ++++++++++++++++++ metadata/Passports__9__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__2__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__15__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__16__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__8__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__15__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__5__metadata.json | 33 ++++++++++++++++++ metadata/W2__8__metadata.json | 34 +++++++++++++++++++ metadata/W9__8__metadata.json | 34 +++++++++++++++++++ 37 files changed, 1251 insertions(+) create mode 100644 metadata/1040__5__metadata.json create mode 100644 metadata/4506T__7__metadata.json create mode 100644 metadata/990__7__metadata.json create mode 100644 metadata/Acord125__7__metadata.json create mode 100644 metadata/Acord126__5__metadata.json create mode 100644 metadata/Acord131__5__metadata.json create mode 100644 metadata/Acord140__5__metadata.json create mode 100644 metadata/Acord25__5__metadata.json create mode 100644 metadata/AustralianInvoices__15__metadata.json create mode 100644 metadata/BankStatements__5__metadata.json create mode 100644 metadata/BillsOfLading__5__metadata.json create mode 100644 metadata/CMS1500__2__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__2__metadata.json create mode 100644 metadata/CertificatesOfOrigin__2__metadata.json create mode 100644 metadata/Checks__5__metadata.json create mode 100644 metadata/ChildrenProductCertificates__2__metadata.json create mode 100644 metadata/DocumentUnderstanding__16__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__2__metadata.json create mode 100644 metadata/FM1003__7__metadata.json create mode 100644 metadata/FinancialStatements__5__metadata.json create mode 100644 metadata/I9__7__metadata.json create mode 100644 metadata/IDCards__9__metadata.json create mode 100644 metadata/IndianInvoices__15__metadata.json create mode 100644 metadata/InvoicesChina__8__metadata.json create mode 100644 metadata/InvoicesShipping__2__metadata.json create mode 100644 metadata/Invoices__16__metadata.json create mode 100644 metadata/JapaneseInvoices__13__metadata.json create mode 100644 metadata/PackingLists__5__metadata.json create mode 100644 metadata/Passports__9__metadata.json create mode 100644 metadata/Payslips__2__metadata.json create mode 100644 metadata/PurchaseOrders__15__metadata.json create mode 100644 metadata/Receipts__16__metadata.json create mode 100644 metadata/RemittanceAdvices__8__metadata.json create mode 100644 metadata/UtilityBills__15__metadata.json create mode 100644 metadata/VehicleTitles__5__metadata.json create mode 100644 metadata/W2__8__metadata.json create mode 100644 metadata/W9__8__metadata.json diff --git a/metadata/1040__5__metadata.json b/metadata/1040__5__metadata.json new file mode 100644 index 00000000..803772e2 --- /dev/null +++ b/metadata/1040__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__7__metadata.json b/metadata/4506T__7__metadata.json new file mode 100644 index 00000000..dd5aae9d --- /dev/null +++ b/metadata/4506T__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__7__metadata.json b/metadata/990__7__metadata.json new file mode 100644 index 00000000..7c48c714 --- /dev/null +++ b/metadata/990__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__7__metadata.json b/metadata/Acord125__7__metadata.json new file mode 100644 index 00000000..a2347d51 --- /dev/null +++ b/metadata/Acord125__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__5__metadata.json b/metadata/Acord126__5__metadata.json new file mode 100644 index 00000000..86e0611c --- /dev/null +++ b/metadata/Acord126__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__5__metadata.json b/metadata/Acord131__5__metadata.json new file mode 100644 index 00000000..080e99fe --- /dev/null +++ b/metadata/Acord131__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__5__metadata.json b/metadata/Acord140__5__metadata.json new file mode 100644 index 00000000..d81e41e3 --- /dev/null +++ b/metadata/Acord140__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__5__metadata.json b/metadata/Acord25__5__metadata.json new file mode 100644 index 00000000..93d14b69 --- /dev/null +++ b/metadata/Acord25__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__15__metadata.json b/metadata/AustralianInvoices__15__metadata.json new file mode 100644 index 00000000..9952d95e --- /dev/null +++ b/metadata/AustralianInvoices__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__5__metadata.json b/metadata/BankStatements__5__metadata.json new file mode 100644 index 00000000..fb3df77f --- /dev/null +++ b/metadata/BankStatements__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__5__metadata.json b/metadata/BillsOfLading__5__metadata.json new file mode 100644 index 00000000..6a9d4d52 --- /dev/null +++ b/metadata/BillsOfLading__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__2__metadata.json b/metadata/CMS1500__2__metadata.json new file mode 100644 index 00000000..1da89b98 --- /dev/null +++ b/metadata/CMS1500__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__2__metadata.json b/metadata/CertificatesOfIncorporation__2__metadata.json new file mode 100644 index 00000000..5d2507e8 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__2__metadata.json b/metadata/CertificatesOfOrigin__2__metadata.json new file mode 100644 index 00000000..9095cce6 --- /dev/null +++ b/metadata/CertificatesOfOrigin__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__5__metadata.json b/metadata/Checks__5__metadata.json new file mode 100644 index 00000000..65741835 --- /dev/null +++ b/metadata/Checks__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__2__metadata.json b/metadata/ChildrenProductCertificates__2__metadata.json new file mode 100644 index 00000000..132d9424 --- /dev/null +++ b/metadata/ChildrenProductCertificates__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentUnderstanding__16__metadata.json b/metadata/DocumentUnderstanding__16__metadata.json new file mode 100644 index 00000000..d06414b5 --- /dev/null +++ b/metadata/DocumentUnderstanding__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__2__metadata.json b/metadata/EUDeclarationOfConformity__2__metadata.json new file mode 100644 index 00000000..bfcc54e4 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__7__metadata.json b/metadata/FM1003__7__metadata.json new file mode 100644 index 00000000..68b62b6d --- /dev/null +++ b/metadata/FM1003__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__5__metadata.json b/metadata/FinancialStatements__5__metadata.json new file mode 100644 index 00000000..50299dfe --- /dev/null +++ b/metadata/FinancialStatements__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__7__metadata.json b/metadata/I9__7__metadata.json new file mode 100644 index 00000000..f135d665 --- /dev/null +++ b/metadata/I9__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__9__metadata.json b/metadata/IDCards__9__metadata.json new file mode 100644 index 00000000..62952238 --- /dev/null +++ b/metadata/IDCards__9__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__15__metadata.json b/metadata/IndianInvoices__15__metadata.json new file mode 100644 index 00000000..6d865a6e --- /dev/null +++ b/metadata/IndianInvoices__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__8__metadata.json b/metadata/InvoicesChina__8__metadata.json new file mode 100644 index 00000000..5187cbff --- /dev/null +++ b/metadata/InvoicesChina__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__2__metadata.json b/metadata/InvoicesShipping__2__metadata.json new file mode 100644 index 00000000..54e3b401 --- /dev/null +++ b/metadata/InvoicesShipping__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__16__metadata.json b/metadata/Invoices__16__metadata.json new file mode 100644 index 00000000..1bd397d2 --- /dev/null +++ b/metadata/Invoices__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__13__metadata.json b/metadata/JapaneseInvoices__13__metadata.json new file mode 100644 index 00000000..2183f09c --- /dev/null +++ b/metadata/JapaneseInvoices__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__5__metadata.json b/metadata/PackingLists__5__metadata.json new file mode 100644 index 00000000..112b631b --- /dev/null +++ b/metadata/PackingLists__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__9__metadata.json b/metadata/Passports__9__metadata.json new file mode 100644 index 00000000..c259e456 --- /dev/null +++ b/metadata/Passports__9__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__2__metadata.json b/metadata/Payslips__2__metadata.json new file mode 100644 index 00000000..a25e7d71 --- /dev/null +++ b/metadata/Payslips__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__15__metadata.json b/metadata/PurchaseOrders__15__metadata.json new file mode 100644 index 00000000..e6040283 --- /dev/null +++ b/metadata/PurchaseOrders__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__16__metadata.json b/metadata/Receipts__16__metadata.json new file mode 100644 index 00000000..47529a13 --- /dev/null +++ b/metadata/Receipts__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__8__metadata.json b/metadata/RemittanceAdvices__8__metadata.json new file mode 100644 index 00000000..96166a8f --- /dev/null +++ b/metadata/RemittanceAdvices__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__15__metadata.json b/metadata/UtilityBills__15__metadata.json new file mode 100644 index 00000000..bf4192be --- /dev/null +++ b/metadata/UtilityBills__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__5__metadata.json b/metadata/VehicleTitles__5__metadata.json new file mode 100644 index 00000000..034afdb9 --- /dev/null +++ b/metadata/VehicleTitles__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__8__metadata.json b/metadata/W2__8__metadata.json new file mode 100644 index 00000000..379ef525 --- /dev/null +++ b/metadata/W2__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__8__metadata.json b/metadata/W9__8__metadata.json new file mode 100644 index 00000000..c3586899 --- /dev/null +++ b/metadata/W9__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.1", + "imagePath": "du-semistructured:v23.4.1-rc09", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From 4058998d6ecdcb35321a9f19e0b91a7e949fab49 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 18 Jul 2023 17:34:38 +0300 Subject: [PATCH 155/267] Add 23.4.2 DU metadata --- metadata/1040__7__metadata.json | 34 +++++++++++++++++++ metadata/4506T__9__metadata.json | 34 +++++++++++++++++++ metadata/990__9__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__9__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__7__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__7__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__7__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__7__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__17__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__7__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__7__metadata.json | 33 ++++++++++++++++++ metadata/Checks__7__metadata.json | 33 ++++++++++++++++++ .../DocumentUnderstanding__18__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__9__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__7__metadata.json | 33 ++++++++++++++++++ metadata/I9__9__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__11__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__17__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__10__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__18__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__15__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__7__metadata.json | 33 ++++++++++++++++++ metadata/Passports__11__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__17__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__18__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__10__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__17__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__7__metadata.json | 33 ++++++++++++++++++ metadata/W2__10__metadata.json | 34 +++++++++++++++++++ metadata/W9__10__metadata.json | 34 +++++++++++++++++++ 30 files changed, 1013 insertions(+) create mode 100644 metadata/1040__7__metadata.json create mode 100644 metadata/4506T__9__metadata.json create mode 100644 metadata/990__9__metadata.json create mode 100644 metadata/Acord125__9__metadata.json create mode 100644 metadata/Acord126__7__metadata.json create mode 100644 metadata/Acord131__7__metadata.json create mode 100644 metadata/Acord140__7__metadata.json create mode 100644 metadata/Acord25__7__metadata.json create mode 100644 metadata/AustralianInvoices__17__metadata.json create mode 100644 metadata/BankStatements__7__metadata.json create mode 100644 metadata/BillsOfLading__7__metadata.json create mode 100644 metadata/Checks__7__metadata.json create mode 100644 metadata/DocumentUnderstanding__18__metadata.json create mode 100644 metadata/FM1003__9__metadata.json create mode 100644 metadata/FinancialStatements__7__metadata.json create mode 100644 metadata/I9__9__metadata.json create mode 100644 metadata/IDCards__11__metadata.json create mode 100644 metadata/IndianInvoices__17__metadata.json create mode 100644 metadata/InvoicesChina__10__metadata.json create mode 100644 metadata/Invoices__18__metadata.json create mode 100644 metadata/JapaneseInvoices__15__metadata.json create mode 100644 metadata/PackingLists__7__metadata.json create mode 100644 metadata/Passports__11__metadata.json create mode 100644 metadata/PurchaseOrders__17__metadata.json create mode 100644 metadata/Receipts__18__metadata.json create mode 100644 metadata/RemittanceAdvices__10__metadata.json create mode 100644 metadata/UtilityBills__17__metadata.json create mode 100644 metadata/VehicleTitles__7__metadata.json create mode 100644 metadata/W2__10__metadata.json create mode 100644 metadata/W9__10__metadata.json diff --git a/metadata/1040__7__metadata.json b/metadata/1040__7__metadata.json new file mode 100644 index 00000000..08877e80 --- /dev/null +++ b/metadata/1040__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__9__metadata.json b/metadata/4506T__9__metadata.json new file mode 100644 index 00000000..34224b7e --- /dev/null +++ b/metadata/4506T__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__9__metadata.json b/metadata/990__9__metadata.json new file mode 100644 index 00000000..0e13323c --- /dev/null +++ b/metadata/990__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__9__metadata.json b/metadata/Acord125__9__metadata.json new file mode 100644 index 00000000..d0e3bfe2 --- /dev/null +++ b/metadata/Acord125__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__7__metadata.json b/metadata/Acord126__7__metadata.json new file mode 100644 index 00000000..b5f0e7f1 --- /dev/null +++ b/metadata/Acord126__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__7__metadata.json b/metadata/Acord131__7__metadata.json new file mode 100644 index 00000000..1dbd98f4 --- /dev/null +++ b/metadata/Acord131__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__7__metadata.json b/metadata/Acord140__7__metadata.json new file mode 100644 index 00000000..2c93b68d --- /dev/null +++ b/metadata/Acord140__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__7__metadata.json b/metadata/Acord25__7__metadata.json new file mode 100644 index 00000000..00cea3c4 --- /dev/null +++ b/metadata/Acord25__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__17__metadata.json b/metadata/AustralianInvoices__17__metadata.json new file mode 100644 index 00000000..aad4e2bb --- /dev/null +++ b/metadata/AustralianInvoices__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__7__metadata.json b/metadata/BankStatements__7__metadata.json new file mode 100644 index 00000000..fbf67033 --- /dev/null +++ b/metadata/BankStatements__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__7__metadata.json b/metadata/BillsOfLading__7__metadata.json new file mode 100644 index 00000000..58685754 --- /dev/null +++ b/metadata/BillsOfLading__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__7__metadata.json b/metadata/Checks__7__metadata.json new file mode 100644 index 00000000..17f5fb0c --- /dev/null +++ b/metadata/Checks__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentUnderstanding__18__metadata.json b/metadata/DocumentUnderstanding__18__metadata.json new file mode 100644 index 00000000..77f5c37b --- /dev/null +++ b/metadata/DocumentUnderstanding__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__9__metadata.json b/metadata/FM1003__9__metadata.json new file mode 100644 index 00000000..53a90473 --- /dev/null +++ b/metadata/FM1003__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__7__metadata.json b/metadata/FinancialStatements__7__metadata.json new file mode 100644 index 00000000..876ec5ee --- /dev/null +++ b/metadata/FinancialStatements__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__9__metadata.json b/metadata/I9__9__metadata.json new file mode 100644 index 00000000..40d7e154 --- /dev/null +++ b/metadata/I9__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__11__metadata.json b/metadata/IDCards__11__metadata.json new file mode 100644 index 00000000..2cea746f --- /dev/null +++ b/metadata/IDCards__11__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__17__metadata.json b/metadata/IndianInvoices__17__metadata.json new file mode 100644 index 00000000..20fd92b4 --- /dev/null +++ b/metadata/IndianInvoices__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__10__metadata.json b/metadata/InvoicesChina__10__metadata.json new file mode 100644 index 00000000..89af1b7f --- /dev/null +++ b/metadata/InvoicesChina__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__18__metadata.json b/metadata/Invoices__18__metadata.json new file mode 100644 index 00000000..7b50beea --- /dev/null +++ b/metadata/Invoices__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__15__metadata.json b/metadata/JapaneseInvoices__15__metadata.json new file mode 100644 index 00000000..bc544621 --- /dev/null +++ b/metadata/JapaneseInvoices__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__7__metadata.json b/metadata/PackingLists__7__metadata.json new file mode 100644 index 00000000..39c29aa4 --- /dev/null +++ b/metadata/PackingLists__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__11__metadata.json b/metadata/Passports__11__metadata.json new file mode 100644 index 00000000..1aee3109 --- /dev/null +++ b/metadata/Passports__11__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__17__metadata.json b/metadata/PurchaseOrders__17__metadata.json new file mode 100644 index 00000000..725182f7 --- /dev/null +++ b/metadata/PurchaseOrders__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__18__metadata.json b/metadata/Receipts__18__metadata.json new file mode 100644 index 00000000..b8925daa --- /dev/null +++ b/metadata/Receipts__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__10__metadata.json b/metadata/RemittanceAdvices__10__metadata.json new file mode 100644 index 00000000..f30df8ce --- /dev/null +++ b/metadata/RemittanceAdvices__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__17__metadata.json b/metadata/UtilityBills__17__metadata.json new file mode 100644 index 00000000..19677c2e --- /dev/null +++ b/metadata/UtilityBills__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__7__metadata.json b/metadata/VehicleTitles__7__metadata.json new file mode 100644 index 00000000..5f6684c1 --- /dev/null +++ b/metadata/VehicleTitles__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__10__metadata.json b/metadata/W2__10__metadata.json new file mode 100644 index 00000000..4081db9b --- /dev/null +++ b/metadata/W2__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__10__metadata.json b/metadata/W9__10__metadata.json new file mode 100644 index 00000000..d7b2d33b --- /dev/null +++ b/metadata/W9__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.4.2", + "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From c3cec735ffaeb6b5bc38e4d36c1486b475ba4f14 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Mon, 24 Jul 2023 15:31:03 +0300 Subject: [PATCH 156/267] Change 23.4.2 image name --- metadata/1040__7__metadata.json | 2 +- metadata/4506T__9__metadata.json | 2 +- metadata/990__9__metadata.json | 2 +- metadata/Acord125__9__metadata.json | 2 +- metadata/Acord126__7__metadata.json | 2 +- metadata/Acord131__7__metadata.json | 2 +- metadata/Acord140__7__metadata.json | 2 +- metadata/Acord25__7__metadata.json | 2 +- metadata/AustralianInvoices__17__metadata.json | 2 +- metadata/BankStatements__7__metadata.json | 2 +- metadata/BillsOfLading__7__metadata.json | 2 +- metadata/Checks__7__metadata.json | 2 +- metadata/DocumentUnderstanding__18__metadata.json | 2 +- metadata/FM1003__9__metadata.json | 2 +- metadata/FinancialStatements__7__metadata.json | 2 +- metadata/I9__9__metadata.json | 2 +- metadata/IDCards__11__metadata.json | 2 +- metadata/IndianInvoices__17__metadata.json | 2 +- metadata/InvoicesChina__10__metadata.json | 2 +- metadata/Invoices__18__metadata.json | 2 +- metadata/JapaneseInvoices__15__metadata.json | 2 +- metadata/PackingLists__7__metadata.json | 2 +- metadata/Passports__11__metadata.json | 2 +- metadata/PurchaseOrders__17__metadata.json | 2 +- metadata/Receipts__18__metadata.json | 2 +- metadata/RemittanceAdvices__10__metadata.json | 2 +- metadata/UtilityBills__17__metadata.json | 2 +- metadata/VehicleTitles__7__metadata.json | 2 +- metadata/W2__10__metadata.json | 2 +- metadata/W9__10__metadata.json | 2 +- 30 files changed, 30 insertions(+), 30 deletions(-) diff --git a/metadata/1040__7__metadata.json b/metadata/1040__7__metadata.json index 08877e80..5dbb381e 100644 --- a/metadata/1040__7__metadata.json +++ b/metadata/1040__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__9__metadata.json b/metadata/4506T__9__metadata.json index 34224b7e..dc1d0150 100644 --- a/metadata/4506T__9__metadata.json +++ b/metadata/4506T__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__9__metadata.json b/metadata/990__9__metadata.json index 0e13323c..46024f99 100644 --- a/metadata/990__9__metadata.json +++ b/metadata/990__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__9__metadata.json b/metadata/Acord125__9__metadata.json index d0e3bfe2..a6054fb5 100644 --- a/metadata/Acord125__9__metadata.json +++ b/metadata/Acord125__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__7__metadata.json b/metadata/Acord126__7__metadata.json index b5f0e7f1..5e3bafc7 100644 --- a/metadata/Acord126__7__metadata.json +++ b/metadata/Acord126__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__7__metadata.json b/metadata/Acord131__7__metadata.json index 1dbd98f4..71b43237 100644 --- a/metadata/Acord131__7__metadata.json +++ b/metadata/Acord131__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__7__metadata.json b/metadata/Acord140__7__metadata.json index 2c93b68d..7171ab0c 100644 --- a/metadata/Acord140__7__metadata.json +++ b/metadata/Acord140__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__7__metadata.json b/metadata/Acord25__7__metadata.json index 00cea3c4..a07e80c3 100644 --- a/metadata/Acord25__7__metadata.json +++ b/metadata/Acord25__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__17__metadata.json b/metadata/AustralianInvoices__17__metadata.json index aad4e2bb..878f844b 100644 --- a/metadata/AustralianInvoices__17__metadata.json +++ b/metadata/AustralianInvoices__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__7__metadata.json b/metadata/BankStatements__7__metadata.json index fbf67033..005a32d0 100644 --- a/metadata/BankStatements__7__metadata.json +++ b/metadata/BankStatements__7__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__7__metadata.json b/metadata/BillsOfLading__7__metadata.json index 58685754..5c525cb8 100644 --- a/metadata/BillsOfLading__7__metadata.json +++ b/metadata/BillsOfLading__7__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__7__metadata.json b/metadata/Checks__7__metadata.json index 17f5fb0c..0dc35537 100644 --- a/metadata/Checks__7__metadata.json +++ b/metadata/Checks__7__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__18__metadata.json b/metadata/DocumentUnderstanding__18__metadata.json index 77f5c37b..d12219f7 100644 --- a/metadata/DocumentUnderstanding__18__metadata.json +++ b/metadata/DocumentUnderstanding__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__9__metadata.json b/metadata/FM1003__9__metadata.json index 53a90473..eb515ae1 100644 --- a/metadata/FM1003__9__metadata.json +++ b/metadata/FM1003__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__7__metadata.json b/metadata/FinancialStatements__7__metadata.json index 876ec5ee..42cbc41b 100644 --- a/metadata/FinancialStatements__7__metadata.json +++ b/metadata/FinancialStatements__7__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__9__metadata.json b/metadata/I9__9__metadata.json index 40d7e154..f7f317fc 100644 --- a/metadata/I9__9__metadata.json +++ b/metadata/I9__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__11__metadata.json b/metadata/IDCards__11__metadata.json index 2cea746f..6de10b80 100644 --- a/metadata/IDCards__11__metadata.json +++ b/metadata/IDCards__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__17__metadata.json b/metadata/IndianInvoices__17__metadata.json index 20fd92b4..76f0601b 100644 --- a/metadata/IndianInvoices__17__metadata.json +++ b/metadata/IndianInvoices__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__10__metadata.json b/metadata/InvoicesChina__10__metadata.json index 89af1b7f..0af9e2e5 100644 --- a/metadata/InvoicesChina__10__metadata.json +++ b/metadata/InvoicesChina__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__18__metadata.json b/metadata/Invoices__18__metadata.json index 7b50beea..97249ef9 100644 --- a/metadata/Invoices__18__metadata.json +++ b/metadata/Invoices__18__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__15__metadata.json b/metadata/JapaneseInvoices__15__metadata.json index bc544621..e7000cdf 100644 --- a/metadata/JapaneseInvoices__15__metadata.json +++ b/metadata/JapaneseInvoices__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__7__metadata.json b/metadata/PackingLists__7__metadata.json index 39c29aa4..498765c4 100644 --- a/metadata/PackingLists__7__metadata.json +++ b/metadata/PackingLists__7__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__11__metadata.json b/metadata/Passports__11__metadata.json index 1aee3109..7b893ebf 100644 --- a/metadata/Passports__11__metadata.json +++ b/metadata/Passports__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__17__metadata.json b/metadata/PurchaseOrders__17__metadata.json index 725182f7..cabb53b0 100644 --- a/metadata/PurchaseOrders__17__metadata.json +++ b/metadata/PurchaseOrders__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__18__metadata.json b/metadata/Receipts__18__metadata.json index b8925daa..b7b726a9 100644 --- a/metadata/Receipts__18__metadata.json +++ b/metadata/Receipts__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__10__metadata.json b/metadata/RemittanceAdvices__10__metadata.json index f30df8ce..a8307206 100644 --- a/metadata/RemittanceAdvices__10__metadata.json +++ b/metadata/RemittanceAdvices__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__17__metadata.json b/metadata/UtilityBills__17__metadata.json index 19677c2e..25bb552d 100644 --- a/metadata/UtilityBills__17__metadata.json +++ b/metadata/UtilityBills__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__7__metadata.json b/metadata/VehicleTitles__7__metadata.json index 5f6684c1..9113efe9 100644 --- a/metadata/VehicleTitles__7__metadata.json +++ b/metadata/VehicleTitles__7__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 7, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__10__metadata.json b/metadata/W2__10__metadata.json index 4081db9b..d9ec7d66 100644 --- a/metadata/W2__10__metadata.json +++ b/metadata/W2__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__10__metadata.json b/metadata/W9__10__metadata.json index d7b2d33b..7af831d4 100644 --- a/metadata/W9__10__metadata.json +++ b/metadata/W9__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.4.2", - "imagePath": "du-semistructured-oob:v23.4.2-rc18", + "imagePath": "du-semistructured:v23.4.2-rc18", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From e9c9f25301ba985407941495d124e7264dc76c02 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Wed, 6 Sep 2023 16:52:39 +0300 Subject: [PATCH 157/267] Add 23.10 version of the ssde models --- metadata/1040__8__metadata.json | 34 +++++++++++++++++++ metadata/4506T__10__metadata.json | 34 +++++++++++++++++++ metadata/990__10__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__10__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__8__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__8__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__8__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__8__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__18__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__8__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__8__metadata.json | 33 ++++++++++++++++++ metadata/Checks__8__metadata.json | 33 ++++++++++++++++++ .../DocumentUnderstanding__19__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__10__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__8__metadata.json | 33 ++++++++++++++++++ metadata/I9__10__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__12__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__18__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__11__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__19__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__16__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__8__metadata.json | 33 ++++++++++++++++++ metadata/Passports__12__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__18__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__19__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__11__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__18__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__8__metadata.json | 33 ++++++++++++++++++ metadata/W2__11__metadata.json | 34 +++++++++++++++++++ metadata/W9__11__metadata.json | 34 +++++++++++++++++++ 30 files changed, 1013 insertions(+) create mode 100644 metadata/1040__8__metadata.json create mode 100644 metadata/4506T__10__metadata.json create mode 100644 metadata/990__10__metadata.json create mode 100644 metadata/Acord125__10__metadata.json create mode 100644 metadata/Acord126__8__metadata.json create mode 100644 metadata/Acord131__8__metadata.json create mode 100644 metadata/Acord140__8__metadata.json create mode 100644 metadata/Acord25__8__metadata.json create mode 100644 metadata/AustralianInvoices__18__metadata.json create mode 100644 metadata/BankStatements__8__metadata.json create mode 100644 metadata/BillsOfLading__8__metadata.json create mode 100644 metadata/Checks__8__metadata.json create mode 100644 metadata/DocumentUnderstanding__19__metadata.json create mode 100644 metadata/FM1003__10__metadata.json create mode 100644 metadata/FinancialStatements__8__metadata.json create mode 100644 metadata/I9__10__metadata.json create mode 100644 metadata/IDCards__12__metadata.json create mode 100644 metadata/IndianInvoices__18__metadata.json create mode 100644 metadata/InvoicesChina__11__metadata.json create mode 100644 metadata/Invoices__19__metadata.json create mode 100644 metadata/JapaneseInvoices__16__metadata.json create mode 100644 metadata/PackingLists__8__metadata.json create mode 100644 metadata/Passports__12__metadata.json create mode 100644 metadata/PurchaseOrders__18__metadata.json create mode 100644 metadata/Receipts__19__metadata.json create mode 100644 metadata/RemittanceAdvices__11__metadata.json create mode 100644 metadata/UtilityBills__18__metadata.json create mode 100644 metadata/VehicleTitles__8__metadata.json create mode 100644 metadata/W2__11__metadata.json create mode 100644 metadata/W9__11__metadata.json diff --git a/metadata/1040__8__metadata.json b/metadata/1040__8__metadata.json new file mode 100644 index 00000000..0695d020 --- /dev/null +++ b/metadata/1040__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__10__metadata.json b/metadata/4506T__10__metadata.json new file mode 100644 index 00000000..44cd4bfc --- /dev/null +++ b/metadata/4506T__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__10__metadata.json b/metadata/990__10__metadata.json new file mode 100644 index 00000000..6041294c --- /dev/null +++ b/metadata/990__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__10__metadata.json b/metadata/Acord125__10__metadata.json new file mode 100644 index 00000000..b88c34aa --- /dev/null +++ b/metadata/Acord125__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__8__metadata.json b/metadata/Acord126__8__metadata.json new file mode 100644 index 00000000..bff8b340 --- /dev/null +++ b/metadata/Acord126__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__8__metadata.json b/metadata/Acord131__8__metadata.json new file mode 100644 index 00000000..4f7bea86 --- /dev/null +++ b/metadata/Acord131__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__8__metadata.json b/metadata/Acord140__8__metadata.json new file mode 100644 index 00000000..0c28dfcd --- /dev/null +++ b/metadata/Acord140__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__8__metadata.json b/metadata/Acord25__8__metadata.json new file mode 100644 index 00000000..d5771bfc --- /dev/null +++ b/metadata/Acord25__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__18__metadata.json b/metadata/AustralianInvoices__18__metadata.json new file mode 100644 index 00000000..b0156da8 --- /dev/null +++ b/metadata/AustralianInvoices__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__8__metadata.json b/metadata/BankStatements__8__metadata.json new file mode 100644 index 00000000..eace74ac --- /dev/null +++ b/metadata/BankStatements__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__8__metadata.json b/metadata/BillsOfLading__8__metadata.json new file mode 100644 index 00000000..ce829a25 --- /dev/null +++ b/metadata/BillsOfLading__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__8__metadata.json b/metadata/Checks__8__metadata.json new file mode 100644 index 00000000..45ae54a0 --- /dev/null +++ b/metadata/Checks__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentUnderstanding__19__metadata.json b/metadata/DocumentUnderstanding__19__metadata.json new file mode 100644 index 00000000..60fc85d2 --- /dev/null +++ b/metadata/DocumentUnderstanding__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__10__metadata.json b/metadata/FM1003__10__metadata.json new file mode 100644 index 00000000..fa9c6efe --- /dev/null +++ b/metadata/FM1003__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__8__metadata.json b/metadata/FinancialStatements__8__metadata.json new file mode 100644 index 00000000..cdb0036b --- /dev/null +++ b/metadata/FinancialStatements__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__10__metadata.json b/metadata/I9__10__metadata.json new file mode 100644 index 00000000..f842ffb1 --- /dev/null +++ b/metadata/I9__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__12__metadata.json b/metadata/IDCards__12__metadata.json new file mode 100644 index 00000000..641931c1 --- /dev/null +++ b/metadata/IDCards__12__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__18__metadata.json b/metadata/IndianInvoices__18__metadata.json new file mode 100644 index 00000000..75e87681 --- /dev/null +++ b/metadata/IndianInvoices__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__11__metadata.json b/metadata/InvoicesChina__11__metadata.json new file mode 100644 index 00000000..2cda105c --- /dev/null +++ b/metadata/InvoicesChina__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__19__metadata.json b/metadata/Invoices__19__metadata.json new file mode 100644 index 00000000..9c1034ab --- /dev/null +++ b/metadata/Invoices__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__16__metadata.json b/metadata/JapaneseInvoices__16__metadata.json new file mode 100644 index 00000000..a3c5098f --- /dev/null +++ b/metadata/JapaneseInvoices__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__8__metadata.json b/metadata/PackingLists__8__metadata.json new file mode 100644 index 00000000..be330982 --- /dev/null +++ b/metadata/PackingLists__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__12__metadata.json b/metadata/Passports__12__metadata.json new file mode 100644 index 00000000..312de581 --- /dev/null +++ b/metadata/Passports__12__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__18__metadata.json b/metadata/PurchaseOrders__18__metadata.json new file mode 100644 index 00000000..d93c5517 --- /dev/null +++ b/metadata/PurchaseOrders__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__19__metadata.json b/metadata/Receipts__19__metadata.json new file mode 100644 index 00000000..4e1f8a9b --- /dev/null +++ b/metadata/Receipts__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__11__metadata.json b/metadata/RemittanceAdvices__11__metadata.json new file mode 100644 index 00000000..e80d529d --- /dev/null +++ b/metadata/RemittanceAdvices__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__18__metadata.json b/metadata/UtilityBills__18__metadata.json new file mode 100644 index 00000000..fa9b718c --- /dev/null +++ b/metadata/UtilityBills__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__8__metadata.json b/metadata/VehicleTitles__8__metadata.json new file mode 100644 index 00000000..8a1c6136 --- /dev/null +++ b/metadata/VehicleTitles__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__11__metadata.json b/metadata/W2__11__metadata.json new file mode 100644 index 00000000..5c23c770 --- /dev/null +++ b/metadata/W2__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__11__metadata.json b/metadata/W9__11__metadata.json new file mode 100644 index 00000000..51c58dda --- /dev/null +++ b/metadata/W9__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.9-48", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From f38653e2842218064bab4b77006c1d93241f3078 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Thu, 14 Sep 2023 08:58:09 +0300 Subject: [PATCH 158/267] Change ssde image tag to v23.9-58 --- metadata/1040__8__metadata.json | 4 +-- metadata/4506T__10__metadata.json | 4 +-- metadata/990__10__metadata.json | 2 +- metadata/Acord125__10__metadata.json | 4 +-- metadata/Acord126__8__metadata.json | 4 +-- metadata/Acord131__8__metadata.json | 4 +-- metadata/Acord140__8__metadata.json | 4 +-- metadata/Acord25__8__metadata.json | 4 +-- .../AustralianInvoices__18__metadata.json | 34 ------------------- metadata/BankStatements__8__metadata.json | 4 +-- metadata/BillsOfLading__8__metadata.json | 4 +-- metadata/Checks__8__metadata.json | 4 +-- .../DocumentUnderstanding__19__metadata.json | 2 +- metadata/FM1003__10__metadata.json | 2 +- .../FinancialStatements__8__metadata.json | 4 +-- metadata/I9__10__metadata.json | 4 +-- metadata/IDCards__12__metadata.json | 4 +-- metadata/IndianInvoices__18__metadata.json | 2 +- metadata/InvoicesChina__11__metadata.json | 4 +-- metadata/Invoices__19__metadata.json | 2 +- metadata/JapaneseInvoices__16__metadata.json | 4 +-- metadata/PackingLists__8__metadata.json | 4 +-- metadata/Passports__12__metadata.json | 2 +- metadata/PurchaseOrders__18__metadata.json | 2 +- metadata/Receipts__19__metadata.json | 2 +- metadata/RemittanceAdvices__11__metadata.json | 4 +-- .../UiPathDocumentOCR_CPU__8__metadata.json | 26 ++++++++++++++ metadata/UiPathDocumentOCR__13__metadata.json | 26 ++++++++++++++ metadata/UtilityBills__18__metadata.json | 4 +-- metadata/VehicleTitles__8__metadata.json | 4 +-- metadata/W2__11__metadata.json | 4 +-- metadata/W9__11__metadata.json | 4 +-- 32 files changed, 102 insertions(+), 84 deletions(-) delete mode 100644 metadata/AustralianInvoices__18__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__8__metadata.json create mode 100644 metadata/UiPathDocumentOCR__13__metadata.json diff --git a/metadata/1040__8__metadata.json b/metadata/1040__8__metadata.json index 0695d020..2e6fcce7 100644 --- a/metadata/1040__8__metadata.json +++ b/metadata/1040__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__10__metadata.json b/metadata/4506T__10__metadata.json index 44cd4bfc..e1f52843 100644 --- a/metadata/4506T__10__metadata.json +++ b/metadata/4506T__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__10__metadata.json b/metadata/990__10__metadata.json index 6041294c..91fa91a0 100644 --- a/metadata/990__10__metadata.json +++ b/metadata/990__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__10__metadata.json b/metadata/Acord125__10__metadata.json index b88c34aa..a14abedd 100644 --- a/metadata/Acord125__10__metadata.json +++ b/metadata/Acord125__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__8__metadata.json b/metadata/Acord126__8__metadata.json index bff8b340..95035754 100644 --- a/metadata/Acord126__8__metadata.json +++ b/metadata/Acord126__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__8__metadata.json b/metadata/Acord131__8__metadata.json index 4f7bea86..700b1e1b 100644 --- a/metadata/Acord131__8__metadata.json +++ b/metadata/Acord131__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__8__metadata.json b/metadata/Acord140__8__metadata.json index 0c28dfcd..479dc142 100644 --- a/metadata/Acord140__8__metadata.json +++ b/metadata/Acord140__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__8__metadata.json b/metadata/Acord25__8__metadata.json index d5771bfc..26f548c4 100644 --- a/metadata/Acord25__8__metadata.json +++ b/metadata/Acord25__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__18__metadata.json b/metadata/AustralianInvoices__18__metadata.json deleted file mode 100644 index b0156da8..00000000 --- a/metadata/AustralianInvoices__18__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} - diff --git a/metadata/BankStatements__8__metadata.json b/metadata/BankStatements__8__metadata.json index eace74ac..def17e05 100644 --- a/metadata/BankStatements__8__metadata.json +++ b/metadata/BankStatements__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__8__metadata.json b/metadata/BillsOfLading__8__metadata.json index ce829a25..8ac49b1c 100644 --- a/metadata/BillsOfLading__8__metadata.json +++ b/metadata/BillsOfLading__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__8__metadata.json b/metadata/Checks__8__metadata.json index 45ae54a0..d02e53d8 100644 --- a/metadata/Checks__8__metadata.json +++ b/metadata/Checks__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__19__metadata.json b/metadata/DocumentUnderstanding__19__metadata.json index 60fc85d2..59cc47db 100644 --- a/metadata/DocumentUnderstanding__19__metadata.json +++ b/metadata/DocumentUnderstanding__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__10__metadata.json b/metadata/FM1003__10__metadata.json index fa9c6efe..8c91a113 100644 --- a/metadata/FM1003__10__metadata.json +++ b/metadata/FM1003__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__8__metadata.json b/metadata/FinancialStatements__8__metadata.json index cdb0036b..79e5f527 100644 --- a/metadata/FinancialStatements__8__metadata.json +++ b/metadata/FinancialStatements__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__10__metadata.json b/metadata/I9__10__metadata.json index f842ffb1..d4e09ef3 100644 --- a/metadata/I9__10__metadata.json +++ b/metadata/I9__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__12__metadata.json b/metadata/IDCards__12__metadata.json index 641931c1..27962686 100644 --- a/metadata/IDCards__12__metadata.json +++ b/metadata/IDCards__12__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__18__metadata.json b/metadata/IndianInvoices__18__metadata.json index 75e87681..fc4df0d3 100644 --- a/metadata/IndianInvoices__18__metadata.json +++ b/metadata/IndianInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__11__metadata.json b/metadata/InvoicesChina__11__metadata.json index 2cda105c..661fe413 100644 --- a/metadata/InvoicesChina__11__metadata.json +++ b/metadata/InvoicesChina__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__19__metadata.json b/metadata/Invoices__19__metadata.json index 9c1034ab..004ade29 100644 --- a/metadata/Invoices__19__metadata.json +++ b/metadata/Invoices__19__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__16__metadata.json b/metadata/JapaneseInvoices__16__metadata.json index a3c5098f..67c35d17 100644 --- a/metadata/JapaneseInvoices__16__metadata.json +++ b/metadata/JapaneseInvoices__16__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__8__metadata.json b/metadata/PackingLists__8__metadata.json index be330982..92aee509 100644 --- a/metadata/PackingLists__8__metadata.json +++ b/metadata/PackingLists__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__12__metadata.json b/metadata/Passports__12__metadata.json index 312de581..27cd0a7a 100644 --- a/metadata/Passports__12__metadata.json +++ b/metadata/Passports__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__18__metadata.json b/metadata/PurchaseOrders__18__metadata.json index d93c5517..987c259c 100644 --- a/metadata/PurchaseOrders__18__metadata.json +++ b/metadata/PurchaseOrders__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__19__metadata.json b/metadata/Receipts__19__metadata.json index 4e1f8a9b..b8cc568e 100644 --- a/metadata/Receipts__19__metadata.json +++ b/metadata/Receipts__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__11__metadata.json b/metadata/RemittanceAdvices__11__metadata.json index e80d529d..e6373df5 100644 --- a/metadata/RemittanceAdvices__11__metadata.json +++ b/metadata/RemittanceAdvices__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__8__metadata.json b/metadata/UiPathDocumentOCR_CPU__8__metadata.json new file mode 100644 index 00000000..889d1ea7 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__8__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.10.0", + "imagePath": "du-doc-ocr-cpu:v23.9-60", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__13__metadata.json b/metadata/UiPathDocumentOCR__13__metadata.json new file mode 100644 index 00000000..b0c6d27a --- /dev/null +++ b/metadata/UiPathDocumentOCR__13__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.10.0", + "imagePath": "du-doc-ocr:v23.9-60", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__18__metadata.json b/metadata/UtilityBills__18__metadata.json index fa9b718c..93e93733 100644 --- a/metadata/UtilityBills__18__metadata.json +++ b/metadata/UtilityBills__18__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__8__metadata.json b/metadata/VehicleTitles__8__metadata.json index 8a1c6136..952b7dd5 100644 --- a/metadata/VehicleTitles__8__metadata.json +++ b/metadata/VehicleTitles__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__11__metadata.json b/metadata/W2__11__metadata.json index 5c23c770..0ed23bd1 100644 --- a/metadata/W2__11__metadata.json +++ b/metadata/W2__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__11__metadata.json b/metadata/W9__11__metadata.json index 51c58dda..5b4e4bbe 100644 --- a/metadata/W9__11__metadata.json +++ b/metadata/W9__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-48", + "imagePath": "du-semistructured:v23.9-60", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 1b4345b044d945ab7264e3d127a9bb20ebfb209e Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 19 Sep 2023 13:53:39 +0300 Subject: [PATCH 159/267] 23.10 ssde and ocr tags --- metadata/1040__8__metadata.json | 2 +- metadata/4506T__10__metadata.json | 2 +- metadata/990__10__metadata.json | 2 +- metadata/Acord125__10__metadata.json | 2 +- metadata/Acord126__8__metadata.json | 2 +- metadata/Acord131__8__metadata.json | 2 +- metadata/Acord140__8__metadata.json | 2 +- metadata/Acord25__8__metadata.json | 2 +- metadata/BankStatements__8__metadata.json | 2 +- metadata/BillsOfLading__8__metadata.json | 2 +- metadata/Checks__8__metadata.json | 2 +- metadata/DocumentUnderstanding__19__metadata.json | 2 +- metadata/FM1003__10__metadata.json | 2 +- metadata/FinancialStatements__8__metadata.json | 2 +- metadata/I9__10__metadata.json | 2 +- metadata/IDCards__12__metadata.json | 2 +- metadata/IndianInvoices__18__metadata.json | 2 +- metadata/InvoicesChina__11__metadata.json | 2 +- metadata/Invoices__19__metadata.json | 2 +- metadata/JapaneseInvoices__16__metadata.json | 2 +- metadata/PackingLists__8__metadata.json | 2 +- metadata/Passports__12__metadata.json | 2 +- metadata/PurchaseOrders__18__metadata.json | 2 +- metadata/Receipts__19__metadata.json | 2 +- metadata/RemittanceAdvices__11__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__8__metadata.json | 2 +- metadata/UiPathDocumentOCR__13__metadata.json | 2 +- metadata/UtilityBills__18__metadata.json | 2 +- metadata/VehicleTitles__8__metadata.json | 2 +- metadata/W2__11__metadata.json | 2 +- metadata/W9__11__metadata.json | 2 +- 31 files changed, 31 insertions(+), 31 deletions(-) diff --git a/metadata/1040__8__metadata.json b/metadata/1040__8__metadata.json index 2e6fcce7..3bb2191a 100644 --- a/metadata/1040__8__metadata.json +++ b/metadata/1040__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__10__metadata.json b/metadata/4506T__10__metadata.json index e1f52843..8bda9f3d 100644 --- a/metadata/4506T__10__metadata.json +++ b/metadata/4506T__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__10__metadata.json b/metadata/990__10__metadata.json index 91fa91a0..81405c5e 100644 --- a/metadata/990__10__metadata.json +++ b/metadata/990__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__10__metadata.json b/metadata/Acord125__10__metadata.json index a14abedd..06cd53fa 100644 --- a/metadata/Acord125__10__metadata.json +++ b/metadata/Acord125__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__8__metadata.json b/metadata/Acord126__8__metadata.json index 95035754..68fce5d4 100644 --- a/metadata/Acord126__8__metadata.json +++ b/metadata/Acord126__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__8__metadata.json b/metadata/Acord131__8__metadata.json index 700b1e1b..8ffd0c19 100644 --- a/metadata/Acord131__8__metadata.json +++ b/metadata/Acord131__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__8__metadata.json b/metadata/Acord140__8__metadata.json index 479dc142..713b997f 100644 --- a/metadata/Acord140__8__metadata.json +++ b/metadata/Acord140__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__8__metadata.json b/metadata/Acord25__8__metadata.json index 26f548c4..5097dd46 100644 --- a/metadata/Acord25__8__metadata.json +++ b/metadata/Acord25__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__8__metadata.json b/metadata/BankStatements__8__metadata.json index def17e05..87085106 100644 --- a/metadata/BankStatements__8__metadata.json +++ b/metadata/BankStatements__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__8__metadata.json b/metadata/BillsOfLading__8__metadata.json index 8ac49b1c..e283b1ad 100644 --- a/metadata/BillsOfLading__8__metadata.json +++ b/metadata/BillsOfLading__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__8__metadata.json b/metadata/Checks__8__metadata.json index d02e53d8..46b22d79 100644 --- a/metadata/Checks__8__metadata.json +++ b/metadata/Checks__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__19__metadata.json b/metadata/DocumentUnderstanding__19__metadata.json index 59cc47db..66a83983 100644 --- a/metadata/DocumentUnderstanding__19__metadata.json +++ b/metadata/DocumentUnderstanding__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__10__metadata.json b/metadata/FM1003__10__metadata.json index 8c91a113..0ae3a8db 100644 --- a/metadata/FM1003__10__metadata.json +++ b/metadata/FM1003__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__8__metadata.json b/metadata/FinancialStatements__8__metadata.json index 79e5f527..c114fded 100644 --- a/metadata/FinancialStatements__8__metadata.json +++ b/metadata/FinancialStatements__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__10__metadata.json b/metadata/I9__10__metadata.json index d4e09ef3..68ea8123 100644 --- a/metadata/I9__10__metadata.json +++ b/metadata/I9__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__12__metadata.json b/metadata/IDCards__12__metadata.json index 27962686..40b70c9a 100644 --- a/metadata/IDCards__12__metadata.json +++ b/metadata/IDCards__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__18__metadata.json b/metadata/IndianInvoices__18__metadata.json index fc4df0d3..2bc8ee1b 100644 --- a/metadata/IndianInvoices__18__metadata.json +++ b/metadata/IndianInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__11__metadata.json b/metadata/InvoicesChina__11__metadata.json index 661fe413..0630e9a0 100644 --- a/metadata/InvoicesChina__11__metadata.json +++ b/metadata/InvoicesChina__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__19__metadata.json b/metadata/Invoices__19__metadata.json index 004ade29..d1e8daff 100644 --- a/metadata/Invoices__19__metadata.json +++ b/metadata/Invoices__19__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__16__metadata.json b/metadata/JapaneseInvoices__16__metadata.json index 67c35d17..a863276d 100644 --- a/metadata/JapaneseInvoices__16__metadata.json +++ b/metadata/JapaneseInvoices__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__8__metadata.json b/metadata/PackingLists__8__metadata.json index 92aee509..abaa2078 100644 --- a/metadata/PackingLists__8__metadata.json +++ b/metadata/PackingLists__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__12__metadata.json b/metadata/Passports__12__metadata.json index 27cd0a7a..1610053b 100644 --- a/metadata/Passports__12__metadata.json +++ b/metadata/Passports__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__18__metadata.json b/metadata/PurchaseOrders__18__metadata.json index 987c259c..2b718091 100644 --- a/metadata/PurchaseOrders__18__metadata.json +++ b/metadata/PurchaseOrders__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__19__metadata.json b/metadata/Receipts__19__metadata.json index b8cc568e..38e7a1c1 100644 --- a/metadata/Receipts__19__metadata.json +++ b/metadata/Receipts__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__11__metadata.json b/metadata/RemittanceAdvices__11__metadata.json index e6373df5..a50a5d8a 100644 --- a/metadata/RemittanceAdvices__11__metadata.json +++ b/metadata/RemittanceAdvices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__8__metadata.json b/metadata/UiPathDocumentOCR_CPU__8__metadata.json index 889d1ea7..3b66b202 100644 --- a/metadata/UiPathDocumentOCR_CPU__8__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__8__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-doc-ocr-cpu:v23.9-60", + "imagePath": "du-doc-ocr-cpu:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__13__metadata.json b/metadata/UiPathDocumentOCR__13__metadata.json index b0c6d27a..0697c590 100644 --- a/metadata/UiPathDocumentOCR__13__metadata.json +++ b/metadata/UiPathDocumentOCR__13__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.0", - "imagePath": "du-doc-ocr:v23.9-60", + "imagePath": "du-doc-ocr:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__18__metadata.json b/metadata/UtilityBills__18__metadata.json index 93e93733..cffd004a 100644 --- a/metadata/UtilityBills__18__metadata.json +++ b/metadata/UtilityBills__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__8__metadata.json b/metadata/VehicleTitles__8__metadata.json index 952b7dd5..c5cf4192 100644 --- a/metadata/VehicleTitles__8__metadata.json +++ b/metadata/VehicleTitles__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__11__metadata.json b/metadata/W2__11__metadata.json index 0ed23bd1..03274677 100644 --- a/metadata/W2__11__metadata.json +++ b/metadata/W2__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__11__metadata.json b/metadata/W9__11__metadata.json index 5b4e4bbe..5af84b20 100644 --- a/metadata/W9__11__metadata.json +++ b/metadata/W9__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.9-60", + "imagePath": "du-semistructured:v23.10.0-rc28", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From b93b56617d975b024d88a1cb3ca9b89200c01c3e Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 19 Sep 2023 14:16:29 +0300 Subject: [PATCH 160/267] Add 23.4.3 ssde metadata --- metadata/1040__9__metadata.json | 34 +++++++++++++++++++ metadata/4506T__11__metadata.json | 34 +++++++++++++++++++ metadata/990__11__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__11__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__9__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__9__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__9__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__9__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__18__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__9__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__9__metadata.json | 33 ++++++++++++++++++ metadata/Checks__9__metadata.json | 33 ++++++++++++++++++ .../DocumentUnderstanding__20__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__11__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__9__metadata.json | 33 ++++++++++++++++++ metadata/I9__11__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__13__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__19__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__12__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__20__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__17__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__9__metadata.json | 33 ++++++++++++++++++ metadata/Passports__13__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__19__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__20__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__12__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__19__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__9__metadata.json | 33 ++++++++++++++++++ metadata/W2__12__metadata.json | 34 +++++++++++++++++++ metadata/W9__12__metadata.json | 34 +++++++++++++++++++ 30 files changed, 1013 insertions(+) create mode 100644 metadata/1040__9__metadata.json create mode 100644 metadata/4506T__11__metadata.json create mode 100644 metadata/990__11__metadata.json create mode 100644 metadata/Acord125__11__metadata.json create mode 100644 metadata/Acord126__9__metadata.json create mode 100644 metadata/Acord131__9__metadata.json create mode 100644 metadata/Acord140__9__metadata.json create mode 100644 metadata/Acord25__9__metadata.json create mode 100644 metadata/AustralianInvoices__18__metadata.json create mode 100644 metadata/BankStatements__9__metadata.json create mode 100644 metadata/BillsOfLading__9__metadata.json create mode 100644 metadata/Checks__9__metadata.json create mode 100644 metadata/DocumentUnderstanding__20__metadata.json create mode 100644 metadata/FM1003__11__metadata.json create mode 100644 metadata/FinancialStatements__9__metadata.json create mode 100644 metadata/I9__11__metadata.json create mode 100644 metadata/IDCards__13__metadata.json create mode 100644 metadata/IndianInvoices__19__metadata.json create mode 100644 metadata/InvoicesChina__12__metadata.json create mode 100644 metadata/Invoices__20__metadata.json create mode 100644 metadata/JapaneseInvoices__17__metadata.json create mode 100644 metadata/PackingLists__9__metadata.json create mode 100644 metadata/Passports__13__metadata.json create mode 100644 metadata/PurchaseOrders__19__metadata.json create mode 100644 metadata/Receipts__20__metadata.json create mode 100644 metadata/RemittanceAdvices__12__metadata.json create mode 100644 metadata/UtilityBills__19__metadata.json create mode 100644 metadata/VehicleTitles__9__metadata.json create mode 100644 metadata/W2__12__metadata.json create mode 100644 metadata/W9__12__metadata.json diff --git a/metadata/1040__9__metadata.json b/metadata/1040__9__metadata.json new file mode 100644 index 00000000..8deaf38f --- /dev/null +++ b/metadata/1040__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__11__metadata.json b/metadata/4506T__11__metadata.json new file mode 100644 index 00000000..d15f3837 --- /dev/null +++ b/metadata/4506T__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__11__metadata.json b/metadata/990__11__metadata.json new file mode 100644 index 00000000..c9b8cff7 --- /dev/null +++ b/metadata/990__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__11__metadata.json b/metadata/Acord125__11__metadata.json new file mode 100644 index 00000000..47d5b101 --- /dev/null +++ b/metadata/Acord125__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__9__metadata.json b/metadata/Acord126__9__metadata.json new file mode 100644 index 00000000..59b04e8a --- /dev/null +++ b/metadata/Acord126__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__9__metadata.json b/metadata/Acord131__9__metadata.json new file mode 100644 index 00000000..a46827d3 --- /dev/null +++ b/metadata/Acord131__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__9__metadata.json b/metadata/Acord140__9__metadata.json new file mode 100644 index 00000000..33887db9 --- /dev/null +++ b/metadata/Acord140__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__9__metadata.json b/metadata/Acord25__9__metadata.json new file mode 100644 index 00000000..34a6cacc --- /dev/null +++ b/metadata/Acord25__9__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__18__metadata.json b/metadata/AustralianInvoices__18__metadata.json new file mode 100644 index 00000000..2f51cb1e --- /dev/null +++ b/metadata/AustralianInvoices__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc17", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__9__metadata.json b/metadata/BankStatements__9__metadata.json new file mode 100644 index 00000000..bd4fe19a --- /dev/null +++ b/metadata/BankStatements__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__9__metadata.json b/metadata/BillsOfLading__9__metadata.json new file mode 100644 index 00000000..f07ab51c --- /dev/null +++ b/metadata/BillsOfLading__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__9__metadata.json b/metadata/Checks__9__metadata.json new file mode 100644 index 00000000..b0fd6c7e --- /dev/null +++ b/metadata/Checks__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentUnderstanding__20__metadata.json b/metadata/DocumentUnderstanding__20__metadata.json new file mode 100644 index 00000000..60a5ce2a --- /dev/null +++ b/metadata/DocumentUnderstanding__20__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__11__metadata.json b/metadata/FM1003__11__metadata.json new file mode 100644 index 00000000..0fdf224f --- /dev/null +++ b/metadata/FM1003__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__9__metadata.json b/metadata/FinancialStatements__9__metadata.json new file mode 100644 index 00000000..b063e4cb --- /dev/null +++ b/metadata/FinancialStatements__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__11__metadata.json b/metadata/I9__11__metadata.json new file mode 100644 index 00000000..70f1f125 --- /dev/null +++ b/metadata/I9__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__13__metadata.json b/metadata/IDCards__13__metadata.json new file mode 100644 index 00000000..49d9fd97 --- /dev/null +++ b/metadata/IDCards__13__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__19__metadata.json b/metadata/IndianInvoices__19__metadata.json new file mode 100644 index 00000000..300392dc --- /dev/null +++ b/metadata/IndianInvoices__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__12__metadata.json b/metadata/InvoicesChina__12__metadata.json new file mode 100644 index 00000000..b7fe34bf --- /dev/null +++ b/metadata/InvoicesChina__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__20__metadata.json b/metadata/Invoices__20__metadata.json new file mode 100644 index 00000000..7a8ed8b9 --- /dev/null +++ b/metadata/Invoices__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__17__metadata.json b/metadata/JapaneseInvoices__17__metadata.json new file mode 100644 index 00000000..20fa8c2b --- /dev/null +++ b/metadata/JapaneseInvoices__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__9__metadata.json b/metadata/PackingLists__9__metadata.json new file mode 100644 index 00000000..e2909a59 --- /dev/null +++ b/metadata/PackingLists__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__13__metadata.json b/metadata/Passports__13__metadata.json new file mode 100644 index 00000000..a1fc27be --- /dev/null +++ b/metadata/Passports__13__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__19__metadata.json b/metadata/PurchaseOrders__19__metadata.json new file mode 100644 index 00000000..bc5a498c --- /dev/null +++ b/metadata/PurchaseOrders__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__20__metadata.json b/metadata/Receipts__20__metadata.json new file mode 100644 index 00000000..c39541dd --- /dev/null +++ b/metadata/Receipts__20__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__12__metadata.json b/metadata/RemittanceAdvices__12__metadata.json new file mode 100644 index 00000000..214f3363 --- /dev/null +++ b/metadata/RemittanceAdvices__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__19__metadata.json b/metadata/UtilityBills__19__metadata.json new file mode 100644 index 00000000..bd0e10bf --- /dev/null +++ b/metadata/UtilityBills__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__9__metadata.json b/metadata/VehicleTitles__9__metadata.json new file mode 100644 index 00000000..2d390314 --- /dev/null +++ b/metadata/VehicleTitles__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__12__metadata.json b/metadata/W2__12__metadata.json new file mode 100644 index 00000000..027b1e7f --- /dev/null +++ b/metadata/W2__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__12__metadata.json b/metadata/W9__12__metadata.json new file mode 100644 index 00000000..a09cafe7 --- /dev/null +++ b/metadata/W9__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From cc6f44bd122e16ba3f02a800be72949bd7093da3 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 19 Sep 2023 14:48:31 +0300 Subject: [PATCH 161/267] [22.10.8] Add ssde, classifier and doc ocr metadata --- metadata/1040__10__metadata.json | 34 +++++++++++++++++++ metadata/4506T__12__metadata.json | 34 +++++++++++++++++++ metadata/990__12__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__12__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__10__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__10__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__10__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__10__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__19__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__10__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__10__metadata.json | 33 ++++++++++++++++++ metadata/Checks__10__metadata.json | 33 ++++++++++++++++++ .../DocumentClassifier__11__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__21__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__12__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__10__metadata.json | 33 ++++++++++++++++++ metadata/I9__12__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__14__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__20__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__13__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__21__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__18__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__10__metadata.json | 33 ++++++++++++++++++ metadata/Passports__14__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__20__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__21__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__13__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__9__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__14__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__20__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__10__metadata.json | 33 ++++++++++++++++++ metadata/W2__13__metadata.json | 34 +++++++++++++++++++ metadata/W9__13__metadata.json | 34 +++++++++++++++++++ 33 files changed, 1094 insertions(+) create mode 100644 metadata/1040__10__metadata.json create mode 100644 metadata/4506T__12__metadata.json create mode 100644 metadata/990__12__metadata.json create mode 100644 metadata/Acord125__12__metadata.json create mode 100644 metadata/Acord126__10__metadata.json create mode 100644 metadata/Acord131__10__metadata.json create mode 100644 metadata/Acord140__10__metadata.json create mode 100644 metadata/Acord25__10__metadata.json create mode 100644 metadata/AustralianInvoices__19__metadata.json create mode 100644 metadata/BankStatements__10__metadata.json create mode 100644 metadata/BillsOfLading__10__metadata.json create mode 100644 metadata/Checks__10__metadata.json create mode 100644 metadata/DocumentClassifier__11__metadata.json create mode 100644 metadata/DocumentUnderstanding__21__metadata.json create mode 100644 metadata/FM1003__12__metadata.json create mode 100644 metadata/FinancialStatements__10__metadata.json create mode 100644 metadata/I9__12__metadata.json create mode 100644 metadata/IDCards__14__metadata.json create mode 100644 metadata/IndianInvoices__20__metadata.json create mode 100644 metadata/InvoicesChina__13__metadata.json create mode 100644 metadata/Invoices__21__metadata.json create mode 100644 metadata/JapaneseInvoices__18__metadata.json create mode 100644 metadata/PackingLists__10__metadata.json create mode 100644 metadata/Passports__14__metadata.json create mode 100644 metadata/PurchaseOrders__20__metadata.json create mode 100644 metadata/Receipts__21__metadata.json create mode 100644 metadata/RemittanceAdvices__13__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__9__metadata.json create mode 100644 metadata/UiPathDocumentOCR__14__metadata.json create mode 100644 metadata/UtilityBills__20__metadata.json create mode 100644 metadata/VehicleTitles__10__metadata.json create mode 100644 metadata/W2__13__metadata.json create mode 100644 metadata/W9__13__metadata.json diff --git a/metadata/1040__10__metadata.json b/metadata/1040__10__metadata.json new file mode 100644 index 00000000..8b09fab4 --- /dev/null +++ b/metadata/1040__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__12__metadata.json b/metadata/4506T__12__metadata.json new file mode 100644 index 00000000..97f500c1 --- /dev/null +++ b/metadata/4506T__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__12__metadata.json b/metadata/990__12__metadata.json new file mode 100644 index 00000000..9859ca23 --- /dev/null +++ b/metadata/990__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__12__metadata.json b/metadata/Acord125__12__metadata.json new file mode 100644 index 00000000..bfa8b3fc --- /dev/null +++ b/metadata/Acord125__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__10__metadata.json b/metadata/Acord126__10__metadata.json new file mode 100644 index 00000000..f3aad0fc --- /dev/null +++ b/metadata/Acord126__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__10__metadata.json b/metadata/Acord131__10__metadata.json new file mode 100644 index 00000000..9fd50c95 --- /dev/null +++ b/metadata/Acord131__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__10__metadata.json b/metadata/Acord140__10__metadata.json new file mode 100644 index 00000000..b75e5414 --- /dev/null +++ b/metadata/Acord140__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__10__metadata.json b/metadata/Acord25__10__metadata.json new file mode 100644 index 00000000..74280cc6 --- /dev/null +++ b/metadata/Acord25__10__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__19__metadata.json b/metadata/AustralianInvoices__19__metadata.json new file mode 100644 index 00000000..e308fff9 --- /dev/null +++ b/metadata/AustralianInvoices__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.4.3-rc17", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__10__metadata.json b/metadata/BankStatements__10__metadata.json new file mode 100644 index 00000000..ea51a039 --- /dev/null +++ b/metadata/BankStatements__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__10__metadata.json b/metadata/BillsOfLading__10__metadata.json new file mode 100644 index 00000000..66d2d135 --- /dev/null +++ b/metadata/BillsOfLading__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__10__metadata.json b/metadata/Checks__10__metadata.json new file mode 100644 index 00000000..4e37c250 --- /dev/null +++ b/metadata/Checks__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentClassifier__11__metadata.json b/metadata/DocumentClassifier__11__metadata.json new file mode 100644 index 00000000..b640be47 --- /dev/null +++ b/metadata/DocumentClassifier__11__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.7", + "imagePath": "du-ml-document-type-text-classifier:v22.10.8-rc32", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__21__metadata.json b/metadata/DocumentUnderstanding__21__metadata.json new file mode 100644 index 00000000..20b66b41 --- /dev/null +++ b/metadata/DocumentUnderstanding__21__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__12__metadata.json b/metadata/FM1003__12__metadata.json new file mode 100644 index 00000000..93ee9a55 --- /dev/null +++ b/metadata/FM1003__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__10__metadata.json b/metadata/FinancialStatements__10__metadata.json new file mode 100644 index 00000000..ec84b2b1 --- /dev/null +++ b/metadata/FinancialStatements__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__12__metadata.json b/metadata/I9__12__metadata.json new file mode 100644 index 00000000..eb18bca6 --- /dev/null +++ b/metadata/I9__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__14__metadata.json b/metadata/IDCards__14__metadata.json new file mode 100644 index 00000000..26c5533c --- /dev/null +++ b/metadata/IDCards__14__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__20__metadata.json b/metadata/IndianInvoices__20__metadata.json new file mode 100644 index 00000000..6e7292cb --- /dev/null +++ b/metadata/IndianInvoices__20__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__13__metadata.json b/metadata/InvoicesChina__13__metadata.json new file mode 100644 index 00000000..68272471 --- /dev/null +++ b/metadata/InvoicesChina__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__21__metadata.json b/metadata/Invoices__21__metadata.json new file mode 100644 index 00000000..bad4317b --- /dev/null +++ b/metadata/Invoices__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__18__metadata.json b/metadata/JapaneseInvoices__18__metadata.json new file mode 100644 index 00000000..bc39278d --- /dev/null +++ b/metadata/JapaneseInvoices__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__10__metadata.json b/metadata/PackingLists__10__metadata.json new file mode 100644 index 00000000..eaeb42a5 --- /dev/null +++ b/metadata/PackingLists__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__14__metadata.json b/metadata/Passports__14__metadata.json new file mode 100644 index 00000000..f7cea2e2 --- /dev/null +++ b/metadata/Passports__14__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__20__metadata.json b/metadata/PurchaseOrders__20__metadata.json new file mode 100644 index 00000000..5ba98ef0 --- /dev/null +++ b/metadata/PurchaseOrders__20__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__21__metadata.json b/metadata/Receipts__21__metadata.json new file mode 100644 index 00000000..dc084b99 --- /dev/null +++ b/metadata/Receipts__21__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__13__metadata.json b/metadata/RemittanceAdvices__13__metadata.json new file mode 100644 index 00000000..01d87844 --- /dev/null +++ b/metadata/RemittanceAdvices__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR_CPU__9__metadata.json b/metadata/UiPathDocumentOCR_CPU__9__metadata.json new file mode 100644 index 00000000..9d7e22de --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__9__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "22.10.7", + "imagePath": "du-doc-ocr-cpu:v22.10.8-rc32", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UiPathDocumentOCR__14__metadata.json b/metadata/UiPathDocumentOCR__14__metadata.json new file mode 100644 index 00000000..403f10b2 --- /dev/null +++ b/metadata/UiPathDocumentOCR__14__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.7", + "imagePath": "du-doc-ocr:v22.10.8-rc32", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__20__metadata.json b/metadata/UtilityBills__20__metadata.json new file mode 100644 index 00000000..ecbd7c57 --- /dev/null +++ b/metadata/UtilityBills__20__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__10__metadata.json b/metadata/VehicleTitles__10__metadata.json new file mode 100644 index 00000000..38542027 --- /dev/null +++ b/metadata/VehicleTitles__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__13__metadata.json b/metadata/W2__13__metadata.json new file mode 100644 index 00000000..23e0d6c2 --- /dev/null +++ b/metadata/W2__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__13__metadata.json b/metadata/W9__13__metadata.json new file mode 100644 index 00000000..f2442939 --- /dev/null +++ b/metadata/W9__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v23.10.0-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From d309c06d9306b5e77bdc5cc17a4396c47a94decc Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 22 Sep 2023 11:50:57 +0300 Subject: [PATCH 162/267] [ACTV-65951] Support for disabled pre signed urls --- metadata/1040__10__metadata.json | 2 +- metadata/1040__8__metadata.json | 2 +- metadata/1040__9__metadata.json | 2 +- metadata/4506T__10__metadata.json | 2 +- metadata/4506T__11__metadata.json | 2 +- metadata/4506T__12__metadata.json | 2 +- metadata/990__10__metadata.json | 2 +- metadata/990__11__metadata.json | 2 +- metadata/990__12__metadata.json | 2 +- metadata/Acord125__10__metadata.json | 2 +- metadata/Acord125__11__metadata.json | 2 +- metadata/Acord125__12__metadata.json | 2 +- metadata/Acord126__10__metadata.json | 2 +- metadata/Acord126__8__metadata.json | 2 +- metadata/Acord126__9__metadata.json | 2 +- metadata/Acord131__10__metadata.json | 2 +- metadata/Acord131__8__metadata.json | 2 +- metadata/Acord131__9__metadata.json | 2 +- metadata/Acord140__10__metadata.json | 2 +- metadata/Acord140__8__metadata.json | 2 +- metadata/Acord140__9__metadata.json | 2 +- metadata/Acord25__10__metadata.json | 2 +- metadata/Acord25__8__metadata.json | 2 +- metadata/Acord25__9__metadata.json | 2 +- .../AustralianInvoices__18__metadata.json | 2 +- .../AustralianInvoices__19__metadata.json | 2 +- metadata/BankStatements__10__metadata.json | 2 +- metadata/BankStatements__8__metadata.json | 2 +- metadata/BankStatements__9__metadata.json | 2 +- metadata/BillsOfLading__10__metadata.json | 2 +- metadata/BillsOfLading__8__metadata.json | 2 +- metadata/BillsOfLading__9__metadata.json | 2 +- metadata/Checks__10__metadata.json | 2 +- metadata/Checks__8__metadata.json | 2 +- metadata/Checks__9__metadata.json | 2 +- .../DocumentClassifier__11__metadata.json | 2 +- .../DocumentClassifier__12__metadata.json | 27 +++++++++++++++++++ .../DocumentUnderstanding__19__metadata.json | 2 +- .../DocumentUnderstanding__20__metadata.json | 2 +- .../DocumentUnderstanding__21__metadata.json | 2 +- metadata/FM1003__10__metadata.json | 2 +- metadata/FM1003__11__metadata.json | 2 +- metadata/FM1003__12__metadata.json | 2 +- .../FinancialStatements__10__metadata.json | 2 +- .../FinancialStatements__8__metadata.json | 2 +- .../FinancialStatements__9__metadata.json | 2 +- metadata/I9__10__metadata.json | 2 +- metadata/I9__11__metadata.json | 2 +- metadata/I9__12__metadata.json | 2 +- metadata/IDCards__12__metadata.json | 2 +- metadata/IDCards__13__metadata.json | 2 +- metadata/IDCards__14__metadata.json | 2 +- metadata/IndianInvoices__18__metadata.json | 2 +- metadata/IndianInvoices__19__metadata.json | 2 +- metadata/IndianInvoices__20__metadata.json | 2 +- metadata/InvoicesChina__11__metadata.json | 2 +- metadata/InvoicesChina__12__metadata.json | 2 +- metadata/InvoicesChina__13__metadata.json | 2 +- metadata/Invoices__19__metadata.json | 2 +- metadata/Invoices__20__metadata.json | 2 +- metadata/Invoices__21__metadata.json | 2 +- metadata/JapaneseInvoices__16__metadata.json | 2 +- metadata/JapaneseInvoices__17__metadata.json | 2 +- metadata/JapaneseInvoices__18__metadata.json | 2 +- metadata/PackingLists__10__metadata.json | 2 +- metadata/PackingLists__8__metadata.json | 2 +- metadata/PackingLists__9__metadata.json | 2 +- metadata/Passports__12__metadata.json | 2 +- metadata/Passports__13__metadata.json | 2 +- metadata/Passports__14__metadata.json | 2 +- metadata/PurchaseOrders__18__metadata.json | 2 +- metadata/PurchaseOrders__19__metadata.json | 2 +- metadata/PurchaseOrders__20__metadata.json | 2 +- metadata/Receipts__19__metadata.json | 2 +- metadata/Receipts__20__metadata.json | 2 +- metadata/Receipts__21__metadata.json | 2 +- metadata/RemittanceAdvices__11__metadata.json | 2 +- metadata/RemittanceAdvices__12__metadata.json | 2 +- metadata/RemittanceAdvices__13__metadata.json | 2 +- .../UiPathDocumentOCR_CPU__8__metadata.json | 2 +- .../UiPathDocumentOCR_CPU__9__metadata.json | 2 +- metadata/UiPathDocumentOCR__13__metadata.json | 2 +- metadata/UiPathDocumentOCR__14__metadata.json | 2 +- metadata/UtilityBills__18__metadata.json | 2 +- metadata/UtilityBills__19__metadata.json | 2 +- metadata/UtilityBills__20__metadata.json | 2 +- metadata/VehicleTitles__10__metadata.json | 2 +- metadata/VehicleTitles__8__metadata.json | 2 +- metadata/VehicleTitles__9__metadata.json | 2 +- metadata/W2__11__metadata.json | 2 +- metadata/W2__12__metadata.json | 2 +- metadata/W2__13__metadata.json | 2 +- metadata/W9__11__metadata.json | 2 +- metadata/W9__12__metadata.json | 2 +- metadata/W9__13__metadata.json | 2 +- 95 files changed, 121 insertions(+), 94 deletions(-) create mode 100644 metadata/DocumentClassifier__12__metadata.json diff --git a/metadata/1040__10__metadata.json b/metadata/1040__10__metadata.json index 8b09fab4..954f2912 100644 --- a/metadata/1040__10__metadata.json +++ b/metadata/1040__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__8__metadata.json b/metadata/1040__8__metadata.json index 3bb2191a..aeaa749b 100644 --- a/metadata/1040__8__metadata.json +++ b/metadata/1040__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__9__metadata.json b/metadata/1040__9__metadata.json index 8deaf38f..c0001c49 100644 --- a/metadata/1040__9__metadata.json +++ b/metadata/1040__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__10__metadata.json b/metadata/4506T__10__metadata.json index 8bda9f3d..bed04551 100644 --- a/metadata/4506T__10__metadata.json +++ b/metadata/4506T__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__11__metadata.json b/metadata/4506T__11__metadata.json index d15f3837..de8f5812 100644 --- a/metadata/4506T__11__metadata.json +++ b/metadata/4506T__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__12__metadata.json b/metadata/4506T__12__metadata.json index 97f500c1..f8ecf51b 100644 --- a/metadata/4506T__12__metadata.json +++ b/metadata/4506T__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__10__metadata.json b/metadata/990__10__metadata.json index 81405c5e..d270f8f2 100644 --- a/metadata/990__10__metadata.json +++ b/metadata/990__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__11__metadata.json b/metadata/990__11__metadata.json index c9b8cff7..f82f4e15 100644 --- a/metadata/990__11__metadata.json +++ b/metadata/990__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__12__metadata.json b/metadata/990__12__metadata.json index 9859ca23..cdf8add1 100644 --- a/metadata/990__12__metadata.json +++ b/metadata/990__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__10__metadata.json b/metadata/Acord125__10__metadata.json index 06cd53fa..b79d3b0b 100644 --- a/metadata/Acord125__10__metadata.json +++ b/metadata/Acord125__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__11__metadata.json b/metadata/Acord125__11__metadata.json index 47d5b101..9d39f4d6 100644 --- a/metadata/Acord125__11__metadata.json +++ b/metadata/Acord125__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__12__metadata.json b/metadata/Acord125__12__metadata.json index bfa8b3fc..dba51cd8 100644 --- a/metadata/Acord125__12__metadata.json +++ b/metadata/Acord125__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__10__metadata.json b/metadata/Acord126__10__metadata.json index f3aad0fc..020e7389 100644 --- a/metadata/Acord126__10__metadata.json +++ b/metadata/Acord126__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__8__metadata.json b/metadata/Acord126__8__metadata.json index 68fce5d4..1006621d 100644 --- a/metadata/Acord126__8__metadata.json +++ b/metadata/Acord126__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__9__metadata.json b/metadata/Acord126__9__metadata.json index 59b04e8a..db9d3fd7 100644 --- a/metadata/Acord126__9__metadata.json +++ b/metadata/Acord126__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__10__metadata.json b/metadata/Acord131__10__metadata.json index 9fd50c95..e2f6f9a9 100644 --- a/metadata/Acord131__10__metadata.json +++ b/metadata/Acord131__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__8__metadata.json b/metadata/Acord131__8__metadata.json index 8ffd0c19..e84a3c56 100644 --- a/metadata/Acord131__8__metadata.json +++ b/metadata/Acord131__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__9__metadata.json b/metadata/Acord131__9__metadata.json index a46827d3..9c31643c 100644 --- a/metadata/Acord131__9__metadata.json +++ b/metadata/Acord131__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__10__metadata.json b/metadata/Acord140__10__metadata.json index b75e5414..1c713d21 100644 --- a/metadata/Acord140__10__metadata.json +++ b/metadata/Acord140__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__8__metadata.json b/metadata/Acord140__8__metadata.json index 713b997f..fbf2c881 100644 --- a/metadata/Acord140__8__metadata.json +++ b/metadata/Acord140__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__9__metadata.json b/metadata/Acord140__9__metadata.json index 33887db9..fdd2cabd 100644 --- a/metadata/Acord140__9__metadata.json +++ b/metadata/Acord140__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__10__metadata.json b/metadata/Acord25__10__metadata.json index 74280cc6..84120317 100644 --- a/metadata/Acord25__10__metadata.json +++ b/metadata/Acord25__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__8__metadata.json b/metadata/Acord25__8__metadata.json index 5097dd46..4e336957 100644 --- a/metadata/Acord25__8__metadata.json +++ b/metadata/Acord25__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__9__metadata.json b/metadata/Acord25__9__metadata.json index 34a6cacc..d10fe4a1 100644 --- a/metadata/Acord25__9__metadata.json +++ b/metadata/Acord25__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__18__metadata.json b/metadata/AustralianInvoices__18__metadata.json index 2f51cb1e..2c2e8c32 100644 --- a/metadata/AustralianInvoices__18__metadata.json +++ b/metadata/AustralianInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc17", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__19__metadata.json b/metadata/AustralianInvoices__19__metadata.json index e308fff9..6b58bd50 100644 --- a/metadata/AustralianInvoices__19__metadata.json +++ b/metadata/AustralianInvoices__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.4.3-rc17", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__10__metadata.json b/metadata/BankStatements__10__metadata.json index ea51a039..10a77575 100644 --- a/metadata/BankStatements__10__metadata.json +++ b/metadata/BankStatements__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__8__metadata.json b/metadata/BankStatements__8__metadata.json index 87085106..e47de597 100644 --- a/metadata/BankStatements__8__metadata.json +++ b/metadata/BankStatements__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__9__metadata.json b/metadata/BankStatements__9__metadata.json index bd4fe19a..0422a9f7 100644 --- a/metadata/BankStatements__9__metadata.json +++ b/metadata/BankStatements__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__10__metadata.json b/metadata/BillsOfLading__10__metadata.json index 66d2d135..6c922459 100644 --- a/metadata/BillsOfLading__10__metadata.json +++ b/metadata/BillsOfLading__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__8__metadata.json b/metadata/BillsOfLading__8__metadata.json index e283b1ad..5d2119eb 100644 --- a/metadata/BillsOfLading__8__metadata.json +++ b/metadata/BillsOfLading__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__9__metadata.json b/metadata/BillsOfLading__9__metadata.json index f07ab51c..1cc7eba5 100644 --- a/metadata/BillsOfLading__9__metadata.json +++ b/metadata/BillsOfLading__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__10__metadata.json b/metadata/Checks__10__metadata.json index 4e37c250..e249f26f 100644 --- a/metadata/Checks__10__metadata.json +++ b/metadata/Checks__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__8__metadata.json b/metadata/Checks__8__metadata.json index 46b22d79..2ef3ba89 100644 --- a/metadata/Checks__8__metadata.json +++ b/metadata/Checks__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__9__metadata.json b/metadata/Checks__9__metadata.json index b0fd6c7e..ac5a33f0 100644 --- a/metadata/Checks__9__metadata.json +++ b/metadata/Checks__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__11__metadata.json b/metadata/DocumentClassifier__11__metadata.json index b640be47..946d7d54 100644 --- a/metadata/DocumentClassifier__11__metadata.json +++ b/metadata/DocumentClassifier__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.7", - "imagePath": "du-ml-document-type-text-classifier:v22.10.8-rc32", + "imagePath": "du-ml-document-type-text-classifier:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentClassifier__12__metadata.json b/metadata/DocumentClassifier__12__metadata.json new file mode 100644 index 00000000..ee30a992 --- /dev/null +++ b/metadata/DocumentClassifier__12__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.4.3", + "imagePath": "du-ml-document-type-text-classifier:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__19__metadata.json b/metadata/DocumentUnderstanding__19__metadata.json index 66a83983..b33a658a 100644 --- a/metadata/DocumentUnderstanding__19__metadata.json +++ b/metadata/DocumentUnderstanding__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__20__metadata.json b/metadata/DocumentUnderstanding__20__metadata.json index 60a5ce2a..6d99df1a 100644 --- a/metadata/DocumentUnderstanding__20__metadata.json +++ b/metadata/DocumentUnderstanding__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__21__metadata.json b/metadata/DocumentUnderstanding__21__metadata.json index 20b66b41..f091e480 100644 --- a/metadata/DocumentUnderstanding__21__metadata.json +++ b/metadata/DocumentUnderstanding__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__10__metadata.json b/metadata/FM1003__10__metadata.json index 0ae3a8db..9f5af405 100644 --- a/metadata/FM1003__10__metadata.json +++ b/metadata/FM1003__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__11__metadata.json b/metadata/FM1003__11__metadata.json index 0fdf224f..d4c6a5d8 100644 --- a/metadata/FM1003__11__metadata.json +++ b/metadata/FM1003__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__12__metadata.json b/metadata/FM1003__12__metadata.json index 93ee9a55..56fdd316 100644 --- a/metadata/FM1003__12__metadata.json +++ b/metadata/FM1003__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__10__metadata.json b/metadata/FinancialStatements__10__metadata.json index ec84b2b1..81dc1f57 100644 --- a/metadata/FinancialStatements__10__metadata.json +++ b/metadata/FinancialStatements__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__8__metadata.json b/metadata/FinancialStatements__8__metadata.json index c114fded..7443afae 100644 --- a/metadata/FinancialStatements__8__metadata.json +++ b/metadata/FinancialStatements__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__9__metadata.json b/metadata/FinancialStatements__9__metadata.json index b063e4cb..34493a5e 100644 --- a/metadata/FinancialStatements__9__metadata.json +++ b/metadata/FinancialStatements__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__10__metadata.json b/metadata/I9__10__metadata.json index 68ea8123..fe8d843f 100644 --- a/metadata/I9__10__metadata.json +++ b/metadata/I9__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__11__metadata.json b/metadata/I9__11__metadata.json index 70f1f125..7012986a 100644 --- a/metadata/I9__11__metadata.json +++ b/metadata/I9__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__12__metadata.json b/metadata/I9__12__metadata.json index eb18bca6..aeff53a9 100644 --- a/metadata/I9__12__metadata.json +++ b/metadata/I9__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__12__metadata.json b/metadata/IDCards__12__metadata.json index 40b70c9a..91d55891 100644 --- a/metadata/IDCards__12__metadata.json +++ b/metadata/IDCards__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__13__metadata.json b/metadata/IDCards__13__metadata.json index 49d9fd97..076ffcd7 100644 --- a/metadata/IDCards__13__metadata.json +++ b/metadata/IDCards__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__14__metadata.json b/metadata/IDCards__14__metadata.json index 26c5533c..4e7406df 100644 --- a/metadata/IDCards__14__metadata.json +++ b/metadata/IDCards__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__18__metadata.json b/metadata/IndianInvoices__18__metadata.json index 2bc8ee1b..6e300c32 100644 --- a/metadata/IndianInvoices__18__metadata.json +++ b/metadata/IndianInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__19__metadata.json b/metadata/IndianInvoices__19__metadata.json index 300392dc..2b40ec91 100644 --- a/metadata/IndianInvoices__19__metadata.json +++ b/metadata/IndianInvoices__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__20__metadata.json b/metadata/IndianInvoices__20__metadata.json index 6e7292cb..ff37963e 100644 --- a/metadata/IndianInvoices__20__metadata.json +++ b/metadata/IndianInvoices__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__11__metadata.json b/metadata/InvoicesChina__11__metadata.json index 0630e9a0..e0d052a7 100644 --- a/metadata/InvoicesChina__11__metadata.json +++ b/metadata/InvoicesChina__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__12__metadata.json b/metadata/InvoicesChina__12__metadata.json index b7fe34bf..a93561b8 100644 --- a/metadata/InvoicesChina__12__metadata.json +++ b/metadata/InvoicesChina__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__13__metadata.json b/metadata/InvoicesChina__13__metadata.json index 68272471..5bfc2022 100644 --- a/metadata/InvoicesChina__13__metadata.json +++ b/metadata/InvoicesChina__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__19__metadata.json b/metadata/Invoices__19__metadata.json index d1e8daff..f04c50b1 100644 --- a/metadata/Invoices__19__metadata.json +++ b/metadata/Invoices__19__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__20__metadata.json b/metadata/Invoices__20__metadata.json index 7a8ed8b9..3984216a 100644 --- a/metadata/Invoices__20__metadata.json +++ b/metadata/Invoices__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__21__metadata.json b/metadata/Invoices__21__metadata.json index bad4317b..a40724b7 100644 --- a/metadata/Invoices__21__metadata.json +++ b/metadata/Invoices__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__16__metadata.json b/metadata/JapaneseInvoices__16__metadata.json index a863276d..770669c7 100644 --- a/metadata/JapaneseInvoices__16__metadata.json +++ b/metadata/JapaneseInvoices__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__17__metadata.json b/metadata/JapaneseInvoices__17__metadata.json index 20fa8c2b..6f16bd61 100644 --- a/metadata/JapaneseInvoices__17__metadata.json +++ b/metadata/JapaneseInvoices__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__18__metadata.json b/metadata/JapaneseInvoices__18__metadata.json index bc39278d..0c0c4d4d 100644 --- a/metadata/JapaneseInvoices__18__metadata.json +++ b/metadata/JapaneseInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__10__metadata.json b/metadata/PackingLists__10__metadata.json index eaeb42a5..ff50be1d 100644 --- a/metadata/PackingLists__10__metadata.json +++ b/metadata/PackingLists__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__8__metadata.json b/metadata/PackingLists__8__metadata.json index abaa2078..dc2a79c9 100644 --- a/metadata/PackingLists__8__metadata.json +++ b/metadata/PackingLists__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__9__metadata.json b/metadata/PackingLists__9__metadata.json index e2909a59..f15af894 100644 --- a/metadata/PackingLists__9__metadata.json +++ b/metadata/PackingLists__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__12__metadata.json b/metadata/Passports__12__metadata.json index 1610053b..55e3f2e8 100644 --- a/metadata/Passports__12__metadata.json +++ b/metadata/Passports__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__13__metadata.json b/metadata/Passports__13__metadata.json index a1fc27be..a61425c5 100644 --- a/metadata/Passports__13__metadata.json +++ b/metadata/Passports__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__14__metadata.json b/metadata/Passports__14__metadata.json index f7cea2e2..5a9338df 100644 --- a/metadata/Passports__14__metadata.json +++ b/metadata/Passports__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__18__metadata.json b/metadata/PurchaseOrders__18__metadata.json index 2b718091..d8f3fc71 100644 --- a/metadata/PurchaseOrders__18__metadata.json +++ b/metadata/PurchaseOrders__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__19__metadata.json b/metadata/PurchaseOrders__19__metadata.json index bc5a498c..da7ce455 100644 --- a/metadata/PurchaseOrders__19__metadata.json +++ b/metadata/PurchaseOrders__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__20__metadata.json b/metadata/PurchaseOrders__20__metadata.json index 5ba98ef0..96945701 100644 --- a/metadata/PurchaseOrders__20__metadata.json +++ b/metadata/PurchaseOrders__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__19__metadata.json b/metadata/Receipts__19__metadata.json index 38e7a1c1..b677295e 100644 --- a/metadata/Receipts__19__metadata.json +++ b/metadata/Receipts__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__20__metadata.json b/metadata/Receipts__20__metadata.json index c39541dd..f836fca6 100644 --- a/metadata/Receipts__20__metadata.json +++ b/metadata/Receipts__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__21__metadata.json b/metadata/Receipts__21__metadata.json index dc084b99..4326aa44 100644 --- a/metadata/Receipts__21__metadata.json +++ b/metadata/Receipts__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__11__metadata.json b/metadata/RemittanceAdvices__11__metadata.json index a50a5d8a..abbbbee0 100644 --- a/metadata/RemittanceAdvices__11__metadata.json +++ b/metadata/RemittanceAdvices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__12__metadata.json b/metadata/RemittanceAdvices__12__metadata.json index 214f3363..4a40e7ea 100644 --- a/metadata/RemittanceAdvices__12__metadata.json +++ b/metadata/RemittanceAdvices__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__13__metadata.json b/metadata/RemittanceAdvices__13__metadata.json index 01d87844..ce4e71c2 100644 --- a/metadata/RemittanceAdvices__13__metadata.json +++ b/metadata/RemittanceAdvices__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__8__metadata.json b/metadata/UiPathDocumentOCR_CPU__8__metadata.json index 3b66b202..b355c3ac 100644 --- a/metadata/UiPathDocumentOCR_CPU__8__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__8__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-doc-ocr-cpu:v23.10.0-rc28", + "imagePath": "du-doc-ocr-cpu:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR_CPU__9__metadata.json b/metadata/UiPathDocumentOCR_CPU__9__metadata.json index 9d7e22de..17d8a038 100644 --- a/metadata/UiPathDocumentOCR_CPU__9__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "22.10.7", - "imagePath": "du-doc-ocr-cpu:v22.10.8-rc32", + "imagePath": "du-doc-ocr-cpu:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__13__metadata.json b/metadata/UiPathDocumentOCR__13__metadata.json index 0697c590..e411aff7 100644 --- a/metadata/UiPathDocumentOCR__13__metadata.json +++ b/metadata/UiPathDocumentOCR__13__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.0", - "imagePath": "du-doc-ocr:v23.10.0-rc28", + "imagePath": "du-doc-ocr:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__14__metadata.json b/metadata/UiPathDocumentOCR__14__metadata.json index 403f10b2..f4d13856 100644 --- a/metadata/UiPathDocumentOCR__14__metadata.json +++ b/metadata/UiPathDocumentOCR__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-doc-ocr:v22.10.8-rc32", + "imagePath": "du-doc-ocr:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__18__metadata.json b/metadata/UtilityBills__18__metadata.json index cffd004a..3563fcf2 100644 --- a/metadata/UtilityBills__18__metadata.json +++ b/metadata/UtilityBills__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__19__metadata.json b/metadata/UtilityBills__19__metadata.json index bd0e10bf..42a19b17 100644 --- a/metadata/UtilityBills__19__metadata.json +++ b/metadata/UtilityBills__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__20__metadata.json b/metadata/UtilityBills__20__metadata.json index ecbd7c57..3848f2bb 100644 --- a/metadata/UtilityBills__20__metadata.json +++ b/metadata/UtilityBills__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__10__metadata.json b/metadata/VehicleTitles__10__metadata.json index 38542027..93f9e01c 100644 --- a/metadata/VehicleTitles__10__metadata.json +++ b/metadata/VehicleTitles__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__8__metadata.json b/metadata/VehicleTitles__8__metadata.json index c5cf4192..9500237f 100644 --- a/metadata/VehicleTitles__8__metadata.json +++ b/metadata/VehicleTitles__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__9__metadata.json b/metadata/VehicleTitles__9__metadata.json index 2d390314..eed4c865 100644 --- a/metadata/VehicleTitles__9__metadata.json +++ b/metadata/VehicleTitles__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__11__metadata.json b/metadata/W2__11__metadata.json index 03274677..787e1708 100644 --- a/metadata/W2__11__metadata.json +++ b/metadata/W2__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__12__metadata.json b/metadata/W2__12__metadata.json index 027b1e7f..d5e5f3a1 100644 --- a/metadata/W2__12__metadata.json +++ b/metadata/W2__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__13__metadata.json b/metadata/W2__13__metadata.json index 23e0d6c2..dd064cef 100644 --- a/metadata/W2__13__metadata.json +++ b/metadata/W2__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__11__metadata.json b/metadata/W9__11__metadata.json index 5af84b20..9b654099 100644 --- a/metadata/W9__11__metadata.json +++ b/metadata/W9__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.10.0-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__12__metadata.json b/metadata/W9__12__metadata.json index a09cafe7..0b0aace9 100644 --- a/metadata/W9__12__metadata.json +++ b/metadata/W9__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__13__metadata.json b/metadata/W9__13__metadata.json index f2442939..1077eb25 100644 --- a/metadata/W9__13__metadata.json +++ b/metadata/W9__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v23.10.0-rc28", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 98826ed5e2be59a2c7ef80ce25c7d19e36c0ccba Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Mon, 9 Oct 2023 14:34:57 +0300 Subject: [PATCH 163/267] libwebp patch for missing models --- metadata/1040__10__metadata.json | 2 +- metadata/1040__8__metadata.json | 2 +- metadata/1040__9__metadata.json | 2 +- metadata/4506T__10__metadata.json | 2 +- metadata/4506T__11__metadata.json | 2 +- metadata/4506T__12__metadata.json | 2 +- metadata/990__10__metadata.json | 2 +- metadata/990__11__metadata.json | 2 +- metadata/990__12__metadata.json | 2 +- metadata/Acord125__10__metadata.json | 2 +- metadata/Acord125__11__metadata.json | 2 +- metadata/Acord125__12__metadata.json | 2 +- metadata/Acord126__10__metadata.json | 2 +- metadata/Acord126__8__metadata.json | 2 +- metadata/Acord126__9__metadata.json | 2 +- metadata/Acord131__10__metadata.json | 2 +- metadata/Acord131__8__metadata.json | 2 +- metadata/Acord131__9__metadata.json | 2 +- metadata/Acord140__10__metadata.json | 2 +- metadata/Acord140__8__metadata.json | 2 +- metadata/Acord140__9__metadata.json | 2 +- metadata/Acord25__10__metadata.json | 2 +- metadata/Acord25__8__metadata.json | 2 +- metadata/Acord25__9__metadata.json | 2 +- .../AustralianInvoices__18__metadata.json | 2 +- .../AustralianInvoices__19__metadata.json | 2 +- metadata/BankStatements__10__metadata.json | 2 +- metadata/BankStatements__8__metadata.json | 2 +- metadata/BankStatements__9__metadata.json | 2 +- metadata/BillsOfLading__10__metadata.json | 2 +- metadata/BillsOfLading__8__metadata.json | 2 +- metadata/BillsOfLading__9__metadata.json | 2 +- metadata/Checks__10__metadata.json | 2 +- metadata/Checks__8__metadata.json | 2 +- metadata/Checks__9__metadata.json | 2 +- .../DocumentClassifier__11__metadata.json | 2 +- .../DocumentClassifier__12__metadata.json | 2 +- .../DocumentUnderstanding__19__metadata.json | 2 +- .../DocumentUnderstanding__20__metadata.json | 2 +- .../DocumentUnderstanding__21__metadata.json | 2 +- metadata/FM1003__10__metadata.json | 2 +- metadata/FM1003__11__metadata.json | 2 +- metadata/FM1003__12__metadata.json | 2 +- .../FinancialStatements__10__metadata.json | 2 +- .../FinancialStatements__8__metadata.json | 2 +- .../FinancialStatements__9__metadata.json | 2 +- metadata/I9__10__metadata.json | 2 +- metadata/I9__11__metadata.json | 2 +- metadata/I9__12__metadata.json | 2 +- metadata/IDCards__12__metadata.json | 2 +- metadata/IDCards__13__metadata.json | 2 +- metadata/IDCards__14__metadata.json | 2 +- metadata/IndianInvoices__18__metadata.json | 2 +- metadata/IndianInvoices__19__metadata.json | 2 +- metadata/IndianInvoices__20__metadata.json | 2 +- metadata/InvoicesChina__11__metadata.json | 2 +- metadata/InvoicesChina__12__metadata.json | 2 +- metadata/InvoicesChina__13__metadata.json | 2 +- metadata/Invoices__19__metadata.json | 2 +- metadata/Invoices__20__metadata.json | 2 +- metadata/Invoices__21__metadata.json | 2 +- metadata/JapaneseInvoices__16__metadata.json | 2 +- metadata/JapaneseInvoices__17__metadata.json | 2 +- metadata/JapaneseInvoices__18__metadata.json | 2 +- metadata/PackingLists__10__metadata.json | 2 +- metadata/PackingLists__8__metadata.json | 2 +- metadata/PackingLists__9__metadata.json | 2 +- metadata/Passports__12__metadata.json | 2 +- metadata/Passports__13__metadata.json | 2 +- metadata/Passports__14__metadata.json | 2 +- metadata/PurchaseOrders__18__metadata.json | 2 +- metadata/PurchaseOrders__19__metadata.json | 2 +- metadata/PurchaseOrders__20__metadata.json | 2 +- metadata/Receipts__19__metadata.json | 2 +- metadata/Receipts__20__metadata.json | 2 +- metadata/Receipts__21__metadata.json | 2 +- metadata/RemittanceAdvices__11__metadata.json | 2 +- metadata/RemittanceAdvices__12__metadata.json | 2 +- metadata/RemittanceAdvices__13__metadata.json | 2 +- .../UiPathDocumentOCR_CPU__10__metadata.json | 26 ++++++++++++++++++ .../UiPathDocumentOCR_CPU__8__metadata.json | 2 +- .../UiPathDocumentOCR_CPU__9__metadata.json | 2 +- metadata/UiPathDocumentOCR__13__metadata.json | 2 +- metadata/UiPathDocumentOCR__14__metadata.json | 2 +- metadata/UiPathDocumentOCR__15__metadata.json | 27 +++++++++++++++++++ metadata/UtilityBills__18__metadata.json | 2 +- metadata/UtilityBills__19__metadata.json | 2 +- metadata/UtilityBills__20__metadata.json | 2 +- metadata/VehicleTitles__10__metadata.json | 2 +- metadata/VehicleTitles__8__metadata.json | 2 +- metadata/VehicleTitles__9__metadata.json | 2 +- metadata/W2__11__metadata.json | 2 +- metadata/W2__12__metadata.json | 2 +- metadata/W2__13__metadata.json | 2 +- metadata/W9__11__metadata.json | 2 +- metadata/W9__12__metadata.json | 2 +- metadata/W9__13__metadata.json | 2 +- 97 files changed, 148 insertions(+), 95 deletions(-) create mode 100644 metadata/UiPathDocumentOCR_CPU__10__metadata.json create mode 100644 metadata/UiPathDocumentOCR__15__metadata.json diff --git a/metadata/1040__10__metadata.json b/metadata/1040__10__metadata.json index 954f2912..e9626cb5 100644 --- a/metadata/1040__10__metadata.json +++ b/metadata/1040__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__8__metadata.json b/metadata/1040__8__metadata.json index aeaa749b..8bcd9e8b 100644 --- a/metadata/1040__8__metadata.json +++ b/metadata/1040__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__9__metadata.json b/metadata/1040__9__metadata.json index c0001c49..c0a085f5 100644 --- a/metadata/1040__9__metadata.json +++ b/metadata/1040__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__10__metadata.json b/metadata/4506T__10__metadata.json index bed04551..0e34e9d8 100644 --- a/metadata/4506T__10__metadata.json +++ b/metadata/4506T__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__11__metadata.json b/metadata/4506T__11__metadata.json index de8f5812..e789c625 100644 --- a/metadata/4506T__11__metadata.json +++ b/metadata/4506T__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__12__metadata.json b/metadata/4506T__12__metadata.json index f8ecf51b..5ee192e1 100644 --- a/metadata/4506T__12__metadata.json +++ b/metadata/4506T__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__10__metadata.json b/metadata/990__10__metadata.json index d270f8f2..a8b680cf 100644 --- a/metadata/990__10__metadata.json +++ b/metadata/990__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__11__metadata.json b/metadata/990__11__metadata.json index f82f4e15..f78f56d3 100644 --- a/metadata/990__11__metadata.json +++ b/metadata/990__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__12__metadata.json b/metadata/990__12__metadata.json index cdf8add1..8d2da7e7 100644 --- a/metadata/990__12__metadata.json +++ b/metadata/990__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__10__metadata.json b/metadata/Acord125__10__metadata.json index b79d3b0b..40c32ed3 100644 --- a/metadata/Acord125__10__metadata.json +++ b/metadata/Acord125__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__11__metadata.json b/metadata/Acord125__11__metadata.json index 9d39f4d6..273564b6 100644 --- a/metadata/Acord125__11__metadata.json +++ b/metadata/Acord125__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__12__metadata.json b/metadata/Acord125__12__metadata.json index dba51cd8..389aa51c 100644 --- a/metadata/Acord125__12__metadata.json +++ b/metadata/Acord125__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__10__metadata.json b/metadata/Acord126__10__metadata.json index 020e7389..b5357764 100644 --- a/metadata/Acord126__10__metadata.json +++ b/metadata/Acord126__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__8__metadata.json b/metadata/Acord126__8__metadata.json index 1006621d..eac0f03f 100644 --- a/metadata/Acord126__8__metadata.json +++ b/metadata/Acord126__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__9__metadata.json b/metadata/Acord126__9__metadata.json index db9d3fd7..926b1668 100644 --- a/metadata/Acord126__9__metadata.json +++ b/metadata/Acord126__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__10__metadata.json b/metadata/Acord131__10__metadata.json index e2f6f9a9..b31d6714 100644 --- a/metadata/Acord131__10__metadata.json +++ b/metadata/Acord131__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__8__metadata.json b/metadata/Acord131__8__metadata.json index e84a3c56..fb1f2ce8 100644 --- a/metadata/Acord131__8__metadata.json +++ b/metadata/Acord131__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__9__metadata.json b/metadata/Acord131__9__metadata.json index 9c31643c..c346fabe 100644 --- a/metadata/Acord131__9__metadata.json +++ b/metadata/Acord131__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__10__metadata.json b/metadata/Acord140__10__metadata.json index 1c713d21..48442444 100644 --- a/metadata/Acord140__10__metadata.json +++ b/metadata/Acord140__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__8__metadata.json b/metadata/Acord140__8__metadata.json index fbf2c881..4ab945c2 100644 --- a/metadata/Acord140__8__metadata.json +++ b/metadata/Acord140__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__9__metadata.json b/metadata/Acord140__9__metadata.json index fdd2cabd..1d6ada75 100644 --- a/metadata/Acord140__9__metadata.json +++ b/metadata/Acord140__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__10__metadata.json b/metadata/Acord25__10__metadata.json index 84120317..ffd04557 100644 --- a/metadata/Acord25__10__metadata.json +++ b/metadata/Acord25__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__8__metadata.json b/metadata/Acord25__8__metadata.json index 4e336957..f225c314 100644 --- a/metadata/Acord25__8__metadata.json +++ b/metadata/Acord25__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__9__metadata.json b/metadata/Acord25__9__metadata.json index d10fe4a1..2f84cd3d 100644 --- a/metadata/Acord25__9__metadata.json +++ b/metadata/Acord25__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__18__metadata.json b/metadata/AustralianInvoices__18__metadata.json index 2c2e8c32..b39c7c60 100644 --- a/metadata/AustralianInvoices__18__metadata.json +++ b/metadata/AustralianInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__19__metadata.json b/metadata/AustralianInvoices__19__metadata.json index 6b58bd50..0bfba6c1 100644 --- a/metadata/AustralianInvoices__19__metadata.json +++ b/metadata/AustralianInvoices__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__10__metadata.json b/metadata/BankStatements__10__metadata.json index 10a77575..50db5a2d 100644 --- a/metadata/BankStatements__10__metadata.json +++ b/metadata/BankStatements__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__8__metadata.json b/metadata/BankStatements__8__metadata.json index e47de597..30fd0ea7 100644 --- a/metadata/BankStatements__8__metadata.json +++ b/metadata/BankStatements__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__9__metadata.json b/metadata/BankStatements__9__metadata.json index 0422a9f7..f6cf5dbd 100644 --- a/metadata/BankStatements__9__metadata.json +++ b/metadata/BankStatements__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__10__metadata.json b/metadata/BillsOfLading__10__metadata.json index 6c922459..519f9d70 100644 --- a/metadata/BillsOfLading__10__metadata.json +++ b/metadata/BillsOfLading__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__8__metadata.json b/metadata/BillsOfLading__8__metadata.json index 5d2119eb..287cb533 100644 --- a/metadata/BillsOfLading__8__metadata.json +++ b/metadata/BillsOfLading__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__9__metadata.json b/metadata/BillsOfLading__9__metadata.json index 1cc7eba5..df25ebb9 100644 --- a/metadata/BillsOfLading__9__metadata.json +++ b/metadata/BillsOfLading__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__10__metadata.json b/metadata/Checks__10__metadata.json index e249f26f..566f3275 100644 --- a/metadata/Checks__10__metadata.json +++ b/metadata/Checks__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__8__metadata.json b/metadata/Checks__8__metadata.json index 2ef3ba89..d09a9a9e 100644 --- a/metadata/Checks__8__metadata.json +++ b/metadata/Checks__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__9__metadata.json b/metadata/Checks__9__metadata.json index ac5a33f0..0b644f38 100644 --- a/metadata/Checks__9__metadata.json +++ b/metadata/Checks__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__11__metadata.json b/metadata/DocumentClassifier__11__metadata.json index 946d7d54..c7ec4d9c 100644 --- a/metadata/DocumentClassifier__11__metadata.json +++ b/metadata/DocumentClassifier__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.7", - "imagePath": "du-ml-document-type-text-classifier:v22.10.8-rc36", + "imagePath": "du-ml-document-type-text-classifier:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentClassifier__12__metadata.json b/metadata/DocumentClassifier__12__metadata.json index ee30a992..86f1c4fa 100644 --- a/metadata/DocumentClassifier__12__metadata.json +++ b/metadata/DocumentClassifier__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-ml-document-type-text-classifier:v23.4.3-rc21", + "imagePath": "du-ml-document-type-text-classifier:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__19__metadata.json b/metadata/DocumentUnderstanding__19__metadata.json index b33a658a..d3296f87 100644 --- a/metadata/DocumentUnderstanding__19__metadata.json +++ b/metadata/DocumentUnderstanding__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__20__metadata.json b/metadata/DocumentUnderstanding__20__metadata.json index 6d99df1a..51203dca 100644 --- a/metadata/DocumentUnderstanding__20__metadata.json +++ b/metadata/DocumentUnderstanding__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__21__metadata.json b/metadata/DocumentUnderstanding__21__metadata.json index f091e480..50c51cb0 100644 --- a/metadata/DocumentUnderstanding__21__metadata.json +++ b/metadata/DocumentUnderstanding__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__10__metadata.json b/metadata/FM1003__10__metadata.json index 9f5af405..95b3667e 100644 --- a/metadata/FM1003__10__metadata.json +++ b/metadata/FM1003__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__11__metadata.json b/metadata/FM1003__11__metadata.json index d4c6a5d8..4ef140df 100644 --- a/metadata/FM1003__11__metadata.json +++ b/metadata/FM1003__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__12__metadata.json b/metadata/FM1003__12__metadata.json index 56fdd316..941c82d8 100644 --- a/metadata/FM1003__12__metadata.json +++ b/metadata/FM1003__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__10__metadata.json b/metadata/FinancialStatements__10__metadata.json index 81dc1f57..178fe862 100644 --- a/metadata/FinancialStatements__10__metadata.json +++ b/metadata/FinancialStatements__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__8__metadata.json b/metadata/FinancialStatements__8__metadata.json index 7443afae..5d272e86 100644 --- a/metadata/FinancialStatements__8__metadata.json +++ b/metadata/FinancialStatements__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__9__metadata.json b/metadata/FinancialStatements__9__metadata.json index 34493a5e..3e067aec 100644 --- a/metadata/FinancialStatements__9__metadata.json +++ b/metadata/FinancialStatements__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__10__metadata.json b/metadata/I9__10__metadata.json index fe8d843f..1acf7e46 100644 --- a/metadata/I9__10__metadata.json +++ b/metadata/I9__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__11__metadata.json b/metadata/I9__11__metadata.json index 7012986a..3d8ba1c5 100644 --- a/metadata/I9__11__metadata.json +++ b/metadata/I9__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__12__metadata.json b/metadata/I9__12__metadata.json index aeff53a9..524ac4b5 100644 --- a/metadata/I9__12__metadata.json +++ b/metadata/I9__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__12__metadata.json b/metadata/IDCards__12__metadata.json index 91d55891..37db138a 100644 --- a/metadata/IDCards__12__metadata.json +++ b/metadata/IDCards__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__13__metadata.json b/metadata/IDCards__13__metadata.json index 076ffcd7..9386d7cc 100644 --- a/metadata/IDCards__13__metadata.json +++ b/metadata/IDCards__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__14__metadata.json b/metadata/IDCards__14__metadata.json index 4e7406df..501808e7 100644 --- a/metadata/IDCards__14__metadata.json +++ b/metadata/IDCards__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__18__metadata.json b/metadata/IndianInvoices__18__metadata.json index 6e300c32..42f0312a 100644 --- a/metadata/IndianInvoices__18__metadata.json +++ b/metadata/IndianInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__19__metadata.json b/metadata/IndianInvoices__19__metadata.json index 2b40ec91..383aeca7 100644 --- a/metadata/IndianInvoices__19__metadata.json +++ b/metadata/IndianInvoices__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__20__metadata.json b/metadata/IndianInvoices__20__metadata.json index ff37963e..3152f42b 100644 --- a/metadata/IndianInvoices__20__metadata.json +++ b/metadata/IndianInvoices__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__11__metadata.json b/metadata/InvoicesChina__11__metadata.json index e0d052a7..ce3304c0 100644 --- a/metadata/InvoicesChina__11__metadata.json +++ b/metadata/InvoicesChina__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__12__metadata.json b/metadata/InvoicesChina__12__metadata.json index a93561b8..56236c2e 100644 --- a/metadata/InvoicesChina__12__metadata.json +++ b/metadata/InvoicesChina__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__13__metadata.json b/metadata/InvoicesChina__13__metadata.json index 5bfc2022..d4f90682 100644 --- a/metadata/InvoicesChina__13__metadata.json +++ b/metadata/InvoicesChina__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__19__metadata.json b/metadata/Invoices__19__metadata.json index f04c50b1..378d74ed 100644 --- a/metadata/Invoices__19__metadata.json +++ b/metadata/Invoices__19__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__20__metadata.json b/metadata/Invoices__20__metadata.json index 3984216a..58e9f314 100644 --- a/metadata/Invoices__20__metadata.json +++ b/metadata/Invoices__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__21__metadata.json b/metadata/Invoices__21__metadata.json index a40724b7..e53de9eb 100644 --- a/metadata/Invoices__21__metadata.json +++ b/metadata/Invoices__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__16__metadata.json b/metadata/JapaneseInvoices__16__metadata.json index 770669c7..5262fd6c 100644 --- a/metadata/JapaneseInvoices__16__metadata.json +++ b/metadata/JapaneseInvoices__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__17__metadata.json b/metadata/JapaneseInvoices__17__metadata.json index 6f16bd61..7f5b72ae 100644 --- a/metadata/JapaneseInvoices__17__metadata.json +++ b/metadata/JapaneseInvoices__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__18__metadata.json b/metadata/JapaneseInvoices__18__metadata.json index 0c0c4d4d..c44daa7b 100644 --- a/metadata/JapaneseInvoices__18__metadata.json +++ b/metadata/JapaneseInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__10__metadata.json b/metadata/PackingLists__10__metadata.json index ff50be1d..8870f5a6 100644 --- a/metadata/PackingLists__10__metadata.json +++ b/metadata/PackingLists__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__8__metadata.json b/metadata/PackingLists__8__metadata.json index dc2a79c9..1345571d 100644 --- a/metadata/PackingLists__8__metadata.json +++ b/metadata/PackingLists__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__9__metadata.json b/metadata/PackingLists__9__metadata.json index f15af894..d3cdc674 100644 --- a/metadata/PackingLists__9__metadata.json +++ b/metadata/PackingLists__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__12__metadata.json b/metadata/Passports__12__metadata.json index 55e3f2e8..3db489e3 100644 --- a/metadata/Passports__12__metadata.json +++ b/metadata/Passports__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__13__metadata.json b/metadata/Passports__13__metadata.json index a61425c5..de8791aa 100644 --- a/metadata/Passports__13__metadata.json +++ b/metadata/Passports__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__14__metadata.json b/metadata/Passports__14__metadata.json index 5a9338df..d1c5042c 100644 --- a/metadata/Passports__14__metadata.json +++ b/metadata/Passports__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__18__metadata.json b/metadata/PurchaseOrders__18__metadata.json index d8f3fc71..3653c0f7 100644 --- a/metadata/PurchaseOrders__18__metadata.json +++ b/metadata/PurchaseOrders__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__19__metadata.json b/metadata/PurchaseOrders__19__metadata.json index da7ce455..1c488b29 100644 --- a/metadata/PurchaseOrders__19__metadata.json +++ b/metadata/PurchaseOrders__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__20__metadata.json b/metadata/PurchaseOrders__20__metadata.json index 96945701..df0e6441 100644 --- a/metadata/PurchaseOrders__20__metadata.json +++ b/metadata/PurchaseOrders__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__19__metadata.json b/metadata/Receipts__19__metadata.json index b677295e..7a890e07 100644 --- a/metadata/Receipts__19__metadata.json +++ b/metadata/Receipts__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__20__metadata.json b/metadata/Receipts__20__metadata.json index f836fca6..577ceffc 100644 --- a/metadata/Receipts__20__metadata.json +++ b/metadata/Receipts__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__21__metadata.json b/metadata/Receipts__21__metadata.json index 4326aa44..2ca6dd96 100644 --- a/metadata/Receipts__21__metadata.json +++ b/metadata/Receipts__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__11__metadata.json b/metadata/RemittanceAdvices__11__metadata.json index abbbbee0..4ea3dd6f 100644 --- a/metadata/RemittanceAdvices__11__metadata.json +++ b/metadata/RemittanceAdvices__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__12__metadata.json b/metadata/RemittanceAdvices__12__metadata.json index 4a40e7ea..8b7996bd 100644 --- a/metadata/RemittanceAdvices__12__metadata.json +++ b/metadata/RemittanceAdvices__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__13__metadata.json b/metadata/RemittanceAdvices__13__metadata.json index ce4e71c2..c545e050 100644 --- a/metadata/RemittanceAdvices__13__metadata.json +++ b/metadata/RemittanceAdvices__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__10__metadata.json b/metadata/UiPathDocumentOCR_CPU__10__metadata.json new file mode 100644 index 00000000..e065eb22 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__10__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "23.4.3", + "imagePath": "du-doc-ocr-cpu:v23.4.3-rc26", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR_CPU__8__metadata.json b/metadata/UiPathDocumentOCR_CPU__8__metadata.json index b355c3ac..4fdcfc77 100644 --- a/metadata/UiPathDocumentOCR_CPU__8__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__8__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-doc-ocr-cpu:v23.10.0-rc33", + "imagePath": "du-doc-ocr-cpu:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR_CPU__9__metadata.json b/metadata/UiPathDocumentOCR_CPU__9__metadata.json index 17d8a038..18135381 100644 --- a/metadata/UiPathDocumentOCR_CPU__9__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "22.10.7", - "imagePath": "du-doc-ocr-cpu:v22.10.8-rc36", + "imagePath": "du-doc-ocr-cpu:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__13__metadata.json b/metadata/UiPathDocumentOCR__13__metadata.json index e411aff7..d69cd1f7 100644 --- a/metadata/UiPathDocumentOCR__13__metadata.json +++ b/metadata/UiPathDocumentOCR__13__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.0", - "imagePath": "du-doc-ocr:v23.10.0-rc33", + "imagePath": "du-doc-ocr:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__14__metadata.json b/metadata/UiPathDocumentOCR__14__metadata.json index f4d13856..3800ad42 100644 --- a/metadata/UiPathDocumentOCR__14__metadata.json +++ b/metadata/UiPathDocumentOCR__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-doc-ocr:v22.10.8-rc36", + "imagePath": "du-doc-ocr:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__15__metadata.json b/metadata/UiPathDocumentOCR__15__metadata.json new file mode 100644 index 00000000..fe2f35c9 --- /dev/null +++ b/metadata/UiPathDocumentOCR__15__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.3", + "imagePath": "du-doc-ocr:v23.4.3-rc26", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__18__metadata.json b/metadata/UtilityBills__18__metadata.json index 3563fcf2..4bc42e08 100644 --- a/metadata/UtilityBills__18__metadata.json +++ b/metadata/UtilityBills__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__19__metadata.json b/metadata/UtilityBills__19__metadata.json index 42a19b17..f9f0cdb1 100644 --- a/metadata/UtilityBills__19__metadata.json +++ b/metadata/UtilityBills__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__20__metadata.json b/metadata/UtilityBills__20__metadata.json index 3848f2bb..4b307398 100644 --- a/metadata/UtilityBills__20__metadata.json +++ b/metadata/UtilityBills__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__10__metadata.json b/metadata/VehicleTitles__10__metadata.json index 93f9e01c..b35b641d 100644 --- a/metadata/VehicleTitles__10__metadata.json +++ b/metadata/VehicleTitles__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__8__metadata.json b/metadata/VehicleTitles__8__metadata.json index 9500237f..a9ee16ce 100644 --- a/metadata/VehicleTitles__8__metadata.json +++ b/metadata/VehicleTitles__8__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 8, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__9__metadata.json b/metadata/VehicleTitles__9__metadata.json index eed4c865..60630334 100644 --- a/metadata/VehicleTitles__9__metadata.json +++ b/metadata/VehicleTitles__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__11__metadata.json b/metadata/W2__11__metadata.json index 787e1708..bb1af3bb 100644 --- a/metadata/W2__11__metadata.json +++ b/metadata/W2__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__12__metadata.json b/metadata/W2__12__metadata.json index d5e5f3a1..e633976e 100644 --- a/metadata/W2__12__metadata.json +++ b/metadata/W2__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__13__metadata.json b/metadata/W2__13__metadata.json index dd064cef..84776d54 100644 --- a/metadata/W2__13__metadata.json +++ b/metadata/W2__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__11__metadata.json b/metadata/W9__11__metadata.json index 9b654099..e3b4e05b 100644 --- a/metadata/W9__11__metadata.json +++ b/metadata/W9__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc33", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__12__metadata.json b/metadata/W9__12__metadata.json index 0b0aace9..b2282071 100644 --- a/metadata/W9__12__metadata.json +++ b/metadata/W9__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "imagePath": "du-semistructured:v23.4.3-rc26", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__13__metadata.json b/metadata/W9__13__metadata.json index 1077eb25..2c7bc543 100644 --- a/metadata/W9__13__metadata.json +++ b/metadata/W9__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "imagePath": "du-semistructured:v22.10.8-rc41", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From ba7bf1ff853e68a542ec2fa2134d9b493ab8e613 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 10 Oct 2023 11:26:39 +0300 Subject: [PATCH 164/267] Revert the CU changes --- metadata/1040__10__metadata.json | 2 +- metadata/1040__9__metadata.json | 2 +- metadata/4506T__11__metadata.json | 2 +- metadata/4506T__12__metadata.json | 2 +- metadata/990__11__metadata.json | 2 +- metadata/990__12__metadata.json | 2 +- metadata/Acord125__11__metadata.json | 2 +- metadata/Acord125__12__metadata.json | 2 +- metadata/Acord126__10__metadata.json | 2 +- metadata/Acord126__9__metadata.json | 2 +- metadata/Acord131__10__metadata.json | 2 +- metadata/Acord131__9__metadata.json | 2 +- metadata/Acord140__10__metadata.json | 2 +- metadata/Acord140__9__metadata.json | 2 +- metadata/Acord25__10__metadata.json | 2 +- metadata/Acord25__9__metadata.json | 2 +- .../AustralianInvoices__18__metadata.json | 2 +- .../AustralianInvoices__19__metadata.json | 2 +- metadata/BankStatements__10__metadata.json | 2 +- metadata/BankStatements__9__metadata.json | 2 +- metadata/BillsOfLading__10__metadata.json | 2 +- metadata/BillsOfLading__9__metadata.json | 2 +- metadata/Checks__10__metadata.json | 2 +- metadata/Checks__9__metadata.json | 2 +- .../DocumentClassifier__11__metadata.json | 2 +- .../DocumentClassifier__12__metadata.json | 2 +- .../DocumentUnderstanding__20__metadata.json | 2 +- .../DocumentUnderstanding__21__metadata.json | 2 +- metadata/FM1003__11__metadata.json | 2 +- metadata/FM1003__12__metadata.json | 2 +- .../FinancialStatements__10__metadata.json | 2 +- .../FinancialStatements__9__metadata.json | 2 +- metadata/I9__11__metadata.json | 2 +- metadata/I9__12__metadata.json | 2 +- metadata/IDCards__13__metadata.json | 2 +- metadata/IDCards__14__metadata.json | 2 +- metadata/IndianInvoices__19__metadata.json | 2 +- metadata/IndianInvoices__20__metadata.json | 2 +- metadata/InvoicesChina__12__metadata.json | 2 +- metadata/InvoicesChina__13__metadata.json | 2 +- metadata/Invoices__20__metadata.json | 2 +- metadata/Invoices__21__metadata.json | 2 +- metadata/JapaneseInvoices__17__metadata.json | 2 +- metadata/JapaneseInvoices__18__metadata.json | 2 +- metadata/PackingLists__10__metadata.json | 2 +- metadata/PackingLists__9__metadata.json | 2 +- metadata/Passports__13__metadata.json | 2 +- metadata/Passports__14__metadata.json | 2 +- metadata/PurchaseOrders__19__metadata.json | 2 +- metadata/PurchaseOrders__20__metadata.json | 2 +- metadata/Receipts__20__metadata.json | 2 +- metadata/Receipts__21__metadata.json | 2 +- metadata/RemittanceAdvices__12__metadata.json | 2 +- metadata/RemittanceAdvices__13__metadata.json | 2 +- .../UiPathDocumentOCR_CPU__10__metadata.json | 26 ------------------ .../UiPathDocumentOCR_CPU__9__metadata.json | 2 +- metadata/UiPathDocumentOCR__14__metadata.json | 2 +- metadata/UiPathDocumentOCR__15__metadata.json | 27 ------------------- metadata/UtilityBills__19__metadata.json | 2 +- metadata/UtilityBills__20__metadata.json | 2 +- metadata/VehicleTitles__10__metadata.json | 2 +- metadata/VehicleTitles__9__metadata.json | 2 +- metadata/W2__12__metadata.json | 2 +- metadata/W2__13__metadata.json | 2 +- metadata/W9__12__metadata.json | 2 +- metadata/W9__13__metadata.json | 2 +- 66 files changed, 64 insertions(+), 117 deletions(-) delete mode 100644 metadata/UiPathDocumentOCR_CPU__10__metadata.json delete mode 100644 metadata/UiPathDocumentOCR__15__metadata.json diff --git a/metadata/1040__10__metadata.json b/metadata/1040__10__metadata.json index e9626cb5..954f2912 100644 --- a/metadata/1040__10__metadata.json +++ b/metadata/1040__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__9__metadata.json b/metadata/1040__9__metadata.json index c0a085f5..c0001c49 100644 --- a/metadata/1040__9__metadata.json +++ b/metadata/1040__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__11__metadata.json b/metadata/4506T__11__metadata.json index e789c625..de8f5812 100644 --- a/metadata/4506T__11__metadata.json +++ b/metadata/4506T__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__12__metadata.json b/metadata/4506T__12__metadata.json index 5ee192e1..f8ecf51b 100644 --- a/metadata/4506T__12__metadata.json +++ b/metadata/4506T__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__11__metadata.json b/metadata/990__11__metadata.json index f78f56d3..f82f4e15 100644 --- a/metadata/990__11__metadata.json +++ b/metadata/990__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__12__metadata.json b/metadata/990__12__metadata.json index 8d2da7e7..cdf8add1 100644 --- a/metadata/990__12__metadata.json +++ b/metadata/990__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__11__metadata.json b/metadata/Acord125__11__metadata.json index 273564b6..9d39f4d6 100644 --- a/metadata/Acord125__11__metadata.json +++ b/metadata/Acord125__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__12__metadata.json b/metadata/Acord125__12__metadata.json index 389aa51c..dba51cd8 100644 --- a/metadata/Acord125__12__metadata.json +++ b/metadata/Acord125__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__10__metadata.json b/metadata/Acord126__10__metadata.json index b5357764..020e7389 100644 --- a/metadata/Acord126__10__metadata.json +++ b/metadata/Acord126__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__9__metadata.json b/metadata/Acord126__9__metadata.json index 926b1668..db9d3fd7 100644 --- a/metadata/Acord126__9__metadata.json +++ b/metadata/Acord126__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__10__metadata.json b/metadata/Acord131__10__metadata.json index b31d6714..e2f6f9a9 100644 --- a/metadata/Acord131__10__metadata.json +++ b/metadata/Acord131__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__9__metadata.json b/metadata/Acord131__9__metadata.json index c346fabe..9c31643c 100644 --- a/metadata/Acord131__9__metadata.json +++ b/metadata/Acord131__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__10__metadata.json b/metadata/Acord140__10__metadata.json index 48442444..1c713d21 100644 --- a/metadata/Acord140__10__metadata.json +++ b/metadata/Acord140__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__9__metadata.json b/metadata/Acord140__9__metadata.json index 1d6ada75..fdd2cabd 100644 --- a/metadata/Acord140__9__metadata.json +++ b/metadata/Acord140__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__10__metadata.json b/metadata/Acord25__10__metadata.json index ffd04557..84120317 100644 --- a/metadata/Acord25__10__metadata.json +++ b/metadata/Acord25__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__9__metadata.json b/metadata/Acord25__9__metadata.json index 2f84cd3d..d10fe4a1 100644 --- a/metadata/Acord25__9__metadata.json +++ b/metadata/Acord25__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__18__metadata.json b/metadata/AustralianInvoices__18__metadata.json index b39c7c60..2c2e8c32 100644 --- a/metadata/AustralianInvoices__18__metadata.json +++ b/metadata/AustralianInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__19__metadata.json b/metadata/AustralianInvoices__19__metadata.json index 0bfba6c1..6b58bd50 100644 --- a/metadata/AustralianInvoices__19__metadata.json +++ b/metadata/AustralianInvoices__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__10__metadata.json b/metadata/BankStatements__10__metadata.json index 50db5a2d..10a77575 100644 --- a/metadata/BankStatements__10__metadata.json +++ b/metadata/BankStatements__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__9__metadata.json b/metadata/BankStatements__9__metadata.json index f6cf5dbd..0422a9f7 100644 --- a/metadata/BankStatements__9__metadata.json +++ b/metadata/BankStatements__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__10__metadata.json b/metadata/BillsOfLading__10__metadata.json index 519f9d70..6c922459 100644 --- a/metadata/BillsOfLading__10__metadata.json +++ b/metadata/BillsOfLading__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__9__metadata.json b/metadata/BillsOfLading__9__metadata.json index df25ebb9..1cc7eba5 100644 --- a/metadata/BillsOfLading__9__metadata.json +++ b/metadata/BillsOfLading__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__10__metadata.json b/metadata/Checks__10__metadata.json index 566f3275..e249f26f 100644 --- a/metadata/Checks__10__metadata.json +++ b/metadata/Checks__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__9__metadata.json b/metadata/Checks__9__metadata.json index 0b644f38..ac5a33f0 100644 --- a/metadata/Checks__9__metadata.json +++ b/metadata/Checks__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__11__metadata.json b/metadata/DocumentClassifier__11__metadata.json index c7ec4d9c..946d7d54 100644 --- a/metadata/DocumentClassifier__11__metadata.json +++ b/metadata/DocumentClassifier__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.7", - "imagePath": "du-ml-document-type-text-classifier:v22.10.8-rc41", + "imagePath": "du-ml-document-type-text-classifier:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentClassifier__12__metadata.json b/metadata/DocumentClassifier__12__metadata.json index 86f1c4fa..ee30a992 100644 --- a/metadata/DocumentClassifier__12__metadata.json +++ b/metadata/DocumentClassifier__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-ml-document-type-text-classifier:v23.4.3-rc26", + "imagePath": "du-ml-document-type-text-classifier:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__20__metadata.json b/metadata/DocumentUnderstanding__20__metadata.json index 51203dca..6d99df1a 100644 --- a/metadata/DocumentUnderstanding__20__metadata.json +++ b/metadata/DocumentUnderstanding__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__21__metadata.json b/metadata/DocumentUnderstanding__21__metadata.json index 50c51cb0..f091e480 100644 --- a/metadata/DocumentUnderstanding__21__metadata.json +++ b/metadata/DocumentUnderstanding__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__11__metadata.json b/metadata/FM1003__11__metadata.json index 4ef140df..d4c6a5d8 100644 --- a/metadata/FM1003__11__metadata.json +++ b/metadata/FM1003__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__12__metadata.json b/metadata/FM1003__12__metadata.json index 941c82d8..56fdd316 100644 --- a/metadata/FM1003__12__metadata.json +++ b/metadata/FM1003__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__10__metadata.json b/metadata/FinancialStatements__10__metadata.json index 178fe862..81dc1f57 100644 --- a/metadata/FinancialStatements__10__metadata.json +++ b/metadata/FinancialStatements__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__9__metadata.json b/metadata/FinancialStatements__9__metadata.json index 3e067aec..34493a5e 100644 --- a/metadata/FinancialStatements__9__metadata.json +++ b/metadata/FinancialStatements__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__11__metadata.json b/metadata/I9__11__metadata.json index 3d8ba1c5..7012986a 100644 --- a/metadata/I9__11__metadata.json +++ b/metadata/I9__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__12__metadata.json b/metadata/I9__12__metadata.json index 524ac4b5..aeff53a9 100644 --- a/metadata/I9__12__metadata.json +++ b/metadata/I9__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__13__metadata.json b/metadata/IDCards__13__metadata.json index 9386d7cc..076ffcd7 100644 --- a/metadata/IDCards__13__metadata.json +++ b/metadata/IDCards__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__14__metadata.json b/metadata/IDCards__14__metadata.json index 501808e7..4e7406df 100644 --- a/metadata/IDCards__14__metadata.json +++ b/metadata/IDCards__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__19__metadata.json b/metadata/IndianInvoices__19__metadata.json index 383aeca7..2b40ec91 100644 --- a/metadata/IndianInvoices__19__metadata.json +++ b/metadata/IndianInvoices__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__20__metadata.json b/metadata/IndianInvoices__20__metadata.json index 3152f42b..ff37963e 100644 --- a/metadata/IndianInvoices__20__metadata.json +++ b/metadata/IndianInvoices__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__12__metadata.json b/metadata/InvoicesChina__12__metadata.json index 56236c2e..a93561b8 100644 --- a/metadata/InvoicesChina__12__metadata.json +++ b/metadata/InvoicesChina__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__13__metadata.json b/metadata/InvoicesChina__13__metadata.json index d4f90682..5bfc2022 100644 --- a/metadata/InvoicesChina__13__metadata.json +++ b/metadata/InvoicesChina__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__20__metadata.json b/metadata/Invoices__20__metadata.json index 58e9f314..3984216a 100644 --- a/metadata/Invoices__20__metadata.json +++ b/metadata/Invoices__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__21__metadata.json b/metadata/Invoices__21__metadata.json index e53de9eb..a40724b7 100644 --- a/metadata/Invoices__21__metadata.json +++ b/metadata/Invoices__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__17__metadata.json b/metadata/JapaneseInvoices__17__metadata.json index 7f5b72ae..6f16bd61 100644 --- a/metadata/JapaneseInvoices__17__metadata.json +++ b/metadata/JapaneseInvoices__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__18__metadata.json b/metadata/JapaneseInvoices__18__metadata.json index c44daa7b..0c0c4d4d 100644 --- a/metadata/JapaneseInvoices__18__metadata.json +++ b/metadata/JapaneseInvoices__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__10__metadata.json b/metadata/PackingLists__10__metadata.json index 8870f5a6..ff50be1d 100644 --- a/metadata/PackingLists__10__metadata.json +++ b/metadata/PackingLists__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__9__metadata.json b/metadata/PackingLists__9__metadata.json index d3cdc674..f15af894 100644 --- a/metadata/PackingLists__9__metadata.json +++ b/metadata/PackingLists__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__13__metadata.json b/metadata/Passports__13__metadata.json index de8791aa..a61425c5 100644 --- a/metadata/Passports__13__metadata.json +++ b/metadata/Passports__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__14__metadata.json b/metadata/Passports__14__metadata.json index d1c5042c..5a9338df 100644 --- a/metadata/Passports__14__metadata.json +++ b/metadata/Passports__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__19__metadata.json b/metadata/PurchaseOrders__19__metadata.json index 1c488b29..da7ce455 100644 --- a/metadata/PurchaseOrders__19__metadata.json +++ b/metadata/PurchaseOrders__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__20__metadata.json b/metadata/PurchaseOrders__20__metadata.json index df0e6441..96945701 100644 --- a/metadata/PurchaseOrders__20__metadata.json +++ b/metadata/PurchaseOrders__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__20__metadata.json b/metadata/Receipts__20__metadata.json index 577ceffc..f836fca6 100644 --- a/metadata/Receipts__20__metadata.json +++ b/metadata/Receipts__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__21__metadata.json b/metadata/Receipts__21__metadata.json index 2ca6dd96..4326aa44 100644 --- a/metadata/Receipts__21__metadata.json +++ b/metadata/Receipts__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__12__metadata.json b/metadata/RemittanceAdvices__12__metadata.json index 8b7996bd..4a40e7ea 100644 --- a/metadata/RemittanceAdvices__12__metadata.json +++ b/metadata/RemittanceAdvices__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__13__metadata.json b/metadata/RemittanceAdvices__13__metadata.json index c545e050..ce4e71c2 100644 --- a/metadata/RemittanceAdvices__13__metadata.json +++ b/metadata/RemittanceAdvices__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__10__metadata.json b/metadata/UiPathDocumentOCR_CPU__10__metadata.json deleted file mode 100644 index e065eb22..00000000 --- a/metadata/UiPathDocumentOCR_CPU__10__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.4.3", - "imagePath": "du-doc-ocr-cpu:v23.4.3-rc26", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__9__metadata.json b/metadata/UiPathDocumentOCR_CPU__9__metadata.json index 18135381..17d8a038 100644 --- a/metadata/UiPathDocumentOCR_CPU__9__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "22.10.7", - "imagePath": "du-doc-ocr-cpu:v22.10.8-rc41", + "imagePath": "du-doc-ocr-cpu:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__14__metadata.json b/metadata/UiPathDocumentOCR__14__metadata.json index 3800ad42..f4d13856 100644 --- a/metadata/UiPathDocumentOCR__14__metadata.json +++ b/metadata/UiPathDocumentOCR__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.7", - "imagePath": "du-doc-ocr:v22.10.8-rc41", + "imagePath": "du-doc-ocr:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__15__metadata.json b/metadata/UiPathDocumentOCR__15__metadata.json deleted file mode 100644 index fe2f35c9..00000000 --- a/metadata/UiPathDocumentOCR__15__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.3", - "imagePath": "du-doc-ocr:v23.4.3-rc26", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UtilityBills__19__metadata.json b/metadata/UtilityBills__19__metadata.json index f9f0cdb1..42a19b17 100644 --- a/metadata/UtilityBills__19__metadata.json +++ b/metadata/UtilityBills__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__20__metadata.json b/metadata/UtilityBills__20__metadata.json index 4b307398..3848f2bb 100644 --- a/metadata/UtilityBills__20__metadata.json +++ b/metadata/UtilityBills__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__10__metadata.json b/metadata/VehicleTitles__10__metadata.json index b35b641d..93f9e01c 100644 --- a/metadata/VehicleTitles__10__metadata.json +++ b/metadata/VehicleTitles__10__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__9__metadata.json b/metadata/VehicleTitles__9__metadata.json index 60630334..eed4c865 100644 --- a/metadata/VehicleTitles__9__metadata.json +++ b/metadata/VehicleTitles__9__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__12__metadata.json b/metadata/W2__12__metadata.json index e633976e..d5e5f3a1 100644 --- a/metadata/W2__12__metadata.json +++ b/metadata/W2__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__13__metadata.json b/metadata/W2__13__metadata.json index 84776d54..dd064cef 100644 --- a/metadata/W2__13__metadata.json +++ b/metadata/W2__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__12__metadata.json b/metadata/W9__12__metadata.json index b2282071..0b0aace9 100644 --- a/metadata/W9__12__metadata.json +++ b/metadata/W9__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc26", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__13__metadata.json b/metadata/W9__13__metadata.json index 2c7bc543..1077eb25 100644 --- a/metadata/W9__13__metadata.json +++ b/metadata/W9__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc41", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 681e2d4ae6e19cedd26c8c851e1d5e460a124819 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 24 Oct 2023 15:48:09 +0300 Subject: [PATCH 165/267] Reorder 23.10 models + add missing ones --- metadata/1040__10__metadata.json | 4 +-- metadata/1040__8__metadata.json | 4 +-- metadata/4506T__10__metadata.json | 4 +-- metadata/4506T__12__metadata.json | 4 +-- metadata/990__10__metadata.json | 4 +-- metadata/990__12__metadata.json | 4 +-- metadata/Acord125__10__metadata.json | 4 +-- metadata/Acord125__12__metadata.json | 4 +-- metadata/Acord126__10__metadata.json | 4 +-- metadata/Acord126__8__metadata.json | 4 +-- metadata/Acord131__10__metadata.json | 4 +-- metadata/Acord131__8__metadata.json | 4 +-- metadata/Acord140__10__metadata.json | 4 +-- metadata/Acord140__8__metadata.json | 4 +-- metadata/Acord25__10__metadata.json | 4 +-- metadata/Acord25__8__metadata.json | 4 +-- .../AustralianInvoices__18__metadata.json | 4 +-- .../AustralianInvoices__19__metadata.json | 4 +-- metadata/BankStatements__10__metadata.json | 4 +-- metadata/BankStatements__8__metadata.json | 4 +-- metadata/BillsOfLading__10__metadata.json | 4 +-- metadata/BillsOfLading__8__metadata.json | 4 +-- metadata/CMS1500__3__metadata.json | 34 +++++++++++++++++++ metadata/CMS1500__4__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__3__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__4__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__3__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__4__metadata.json | 34 +++++++++++++++++++ metadata/Checks__10__metadata.json | 4 +-- metadata/Checks__8__metadata.json | 4 +-- ...ldrenProductCertificates__3__metadata.json | 34 +++++++++++++++++++ ...ldrenProductCertificates__4__metadata.json | 34 +++++++++++++++++++ .../DocumentUnderstanding__19__metadata.json | 4 +-- .../DocumentUnderstanding__21__metadata.json | 4 +-- ...UDeclarationOfConformity__3__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__4__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__10__metadata.json | 4 +-- metadata/FM1003__12__metadata.json | 4 +-- .../FinancialStatements__10__metadata.json | 4 +-- .../FinancialStatements__8__metadata.json | 4 +-- metadata/I9__10__metadata.json | 4 +-- metadata/I9__12__metadata.json | 4 +-- metadata/IDCards__12__metadata.json | 4 +-- metadata/IDCards__14__metadata.json | 4 +-- metadata/IndianInvoices__18__metadata.json | 4 +-- metadata/IndianInvoices__20__metadata.json | 4 +-- metadata/InvoicesChina__11__metadata.json | 4 +-- metadata/InvoicesChina__13__metadata.json | 4 +-- metadata/InvoicesShipping__3__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__4__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__19__metadata.json | 4 +-- metadata/Invoices__21__metadata.json | 4 +-- metadata/JapaneseInvoices__16__metadata.json | 4 +-- metadata/JapaneseInvoices__18__metadata.json | 4 +-- metadata/PackingLists__10__metadata.json | 4 +-- metadata/PackingLists__8__metadata.json | 4 +-- metadata/Passports__12__metadata.json | 4 +-- metadata/Passports__14__metadata.json | 4 +-- metadata/Payslips__3__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__4__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__18__metadata.json | 4 +-- metadata/PurchaseOrders__20__metadata.json | 4 +-- metadata/Receipts__19__metadata.json | 4 +-- metadata/Receipts__21__metadata.json | 4 +-- metadata/RemittanceAdvices__11__metadata.json | 4 +-- metadata/RemittanceAdvices__13__metadata.json | 4 +-- .../UiPathDocumentOCR_CPU__8__metadata.json | 5 +-- .../UiPathDocumentOCR_CPU__9__metadata.json | 5 ++- metadata/UiPathDocumentOCR__13__metadata.json | 5 +-- metadata/UiPathDocumentOCR__14__metadata.json | 5 ++- metadata/UtilityBills__18__metadata.json | 4 +-- metadata/UtilityBills__20__metadata.json | 4 +-- metadata/VehicleTitles__10__metadata.json | 4 +-- metadata/VehicleTitles__8__metadata.json | 4 +-- metadata/W2__11__metadata.json | 4 +-- metadata/W2__13__metadata.json | 4 +-- metadata/W9__11__metadata.json | 4 +-- metadata/W9__13__metadata.json | 4 +-- 78 files changed, 606 insertions(+), 130 deletions(-) create mode 100644 metadata/CMS1500__3__metadata.json create mode 100644 metadata/CMS1500__4__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__3__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__4__metadata.json create mode 100644 metadata/CertificatesOfOrigin__3__metadata.json create mode 100644 metadata/CertificatesOfOrigin__4__metadata.json create mode 100644 metadata/ChildrenProductCertificates__3__metadata.json create mode 100644 metadata/ChildrenProductCertificates__4__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__3__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__4__metadata.json create mode 100644 metadata/InvoicesShipping__3__metadata.json create mode 100644 metadata/InvoicesShipping__4__metadata.json create mode 100644 metadata/Payslips__3__metadata.json create mode 100644 metadata/Payslips__4__metadata.json diff --git a/metadata/1040__10__metadata.json b/metadata/1040__10__metadata.json index 954f2912..0001fcd2 100644 --- a/metadata/1040__10__metadata.json +++ b/metadata/1040__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__8__metadata.json b/metadata/1040__8__metadata.json index 8bcd9e8b..9fb14df0 100644 --- a/metadata/1040__8__metadata.json +++ b/metadata/1040__8__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__10__metadata.json b/metadata/4506T__10__metadata.json index 0e34e9d8..a1755e2f 100644 --- a/metadata/4506T__10__metadata.json +++ b/metadata/4506T__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__12__metadata.json b/metadata/4506T__12__metadata.json index f8ecf51b..956aae5c 100644 --- a/metadata/4506T__12__metadata.json +++ b/metadata/4506T__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__10__metadata.json b/metadata/990__10__metadata.json index a8b680cf..3c66f546 100644 --- a/metadata/990__10__metadata.json +++ b/metadata/990__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__12__metadata.json b/metadata/990__12__metadata.json index cdf8add1..c86f524b 100644 --- a/metadata/990__12__metadata.json +++ b/metadata/990__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__10__metadata.json b/metadata/Acord125__10__metadata.json index 40c32ed3..467c89cf 100644 --- a/metadata/Acord125__10__metadata.json +++ b/metadata/Acord125__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__12__metadata.json b/metadata/Acord125__12__metadata.json index dba51cd8..4d189a10 100644 --- a/metadata/Acord125__12__metadata.json +++ b/metadata/Acord125__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__10__metadata.json b/metadata/Acord126__10__metadata.json index 020e7389..85263318 100644 --- a/metadata/Acord126__10__metadata.json +++ b/metadata/Acord126__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__8__metadata.json b/metadata/Acord126__8__metadata.json index eac0f03f..b8b68807 100644 --- a/metadata/Acord126__8__metadata.json +++ b/metadata/Acord126__8__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__10__metadata.json b/metadata/Acord131__10__metadata.json index e2f6f9a9..82e3c10f 100644 --- a/metadata/Acord131__10__metadata.json +++ b/metadata/Acord131__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__8__metadata.json b/metadata/Acord131__8__metadata.json index fb1f2ce8..7450d1d7 100644 --- a/metadata/Acord131__8__metadata.json +++ b/metadata/Acord131__8__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__10__metadata.json b/metadata/Acord140__10__metadata.json index 1c713d21..7c5c37c7 100644 --- a/metadata/Acord140__10__metadata.json +++ b/metadata/Acord140__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__8__metadata.json b/metadata/Acord140__8__metadata.json index 4ab945c2..594de2b0 100644 --- a/metadata/Acord140__8__metadata.json +++ b/metadata/Acord140__8__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__10__metadata.json b/metadata/Acord25__10__metadata.json index 84120317..affaccc0 100644 --- a/metadata/Acord25__10__metadata.json +++ b/metadata/Acord25__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__8__metadata.json b/metadata/Acord25__8__metadata.json index f225c314..3285a3f7 100644 --- a/metadata/Acord25__8__metadata.json +++ b/metadata/Acord25__8__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__18__metadata.json b/metadata/AustralianInvoices__18__metadata.json index 2c2e8c32..3c031828 100644 --- a/metadata/AustralianInvoices__18__metadata.json +++ b/metadata/AustralianInvoices__18__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 18, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__19__metadata.json b/metadata/AustralianInvoices__19__metadata.json index 6b58bd50..d2d8ea0e 100644 --- a/metadata/AustralianInvoices__19__metadata.json +++ b/metadata/AustralianInvoices__19__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 19, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__10__metadata.json b/metadata/BankStatements__10__metadata.json index 10a77575..77068fde 100644 --- a/metadata/BankStatements__10__metadata.json +++ b/metadata/BankStatements__10__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__8__metadata.json b/metadata/BankStatements__8__metadata.json index 30fd0ea7..9428230c 100644 --- a/metadata/BankStatements__8__metadata.json +++ b/metadata/BankStatements__8__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__10__metadata.json b/metadata/BillsOfLading__10__metadata.json index 6c922459..0cc6878b 100644 --- a/metadata/BillsOfLading__10__metadata.json +++ b/metadata/BillsOfLading__10__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__8__metadata.json b/metadata/BillsOfLading__8__metadata.json index 287cb533..bf74f942 100644 --- a/metadata/BillsOfLading__8__metadata.json +++ b/metadata/BillsOfLading__8__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__3__metadata.json b/metadata/CMS1500__3__metadata.json new file mode 100644 index 00000000..b34f07f5 --- /dev/null +++ b/metadata/CMS1500__3__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CMS1500__4__metadata.json b/metadata/CMS1500__4__metadata.json new file mode 100644 index 00000000..1a2ab2b5 --- /dev/null +++ b/metadata/CMS1500__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__3__metadata.json b/metadata/CertificatesOfIncorporation__3__metadata.json new file mode 100644 index 00000000..0913e5c6 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__3__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__4__metadata.json b/metadata/CertificatesOfIncorporation__4__metadata.json new file mode 100644 index 00000000..239a20e5 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__3__metadata.json b/metadata/CertificatesOfOrigin__3__metadata.json new file mode 100644 index 00000000..cffdafe6 --- /dev/null +++ b/metadata/CertificatesOfOrigin__3__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__4__metadata.json b/metadata/CertificatesOfOrigin__4__metadata.json new file mode 100644 index 00000000..87a48e17 --- /dev/null +++ b/metadata/CertificatesOfOrigin__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__10__metadata.json b/metadata/Checks__10__metadata.json index e249f26f..f7bb1f1e 100644 --- a/metadata/Checks__10__metadata.json +++ b/metadata/Checks__10__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__8__metadata.json b/metadata/Checks__8__metadata.json index d09a9a9e..4d047523 100644 --- a/metadata/Checks__8__metadata.json +++ b/metadata/Checks__8__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__3__metadata.json b/metadata/ChildrenProductCertificates__3__metadata.json new file mode 100644 index 00000000..6b32ceb7 --- /dev/null +++ b/metadata/ChildrenProductCertificates__3__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__4__metadata.json b/metadata/ChildrenProductCertificates__4__metadata.json new file mode 100644 index 00000000..9292db1d --- /dev/null +++ b/metadata/ChildrenProductCertificates__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentUnderstanding__19__metadata.json b/metadata/DocumentUnderstanding__19__metadata.json index d3296f87..a5cbc2f9 100644 --- a/metadata/DocumentUnderstanding__19__metadata.json +++ b/metadata/DocumentUnderstanding__19__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 19, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__21__metadata.json b/metadata/DocumentUnderstanding__21__metadata.json index f091e480..65e81a71 100644 --- a/metadata/DocumentUnderstanding__21__metadata.json +++ b/metadata/DocumentUnderstanding__21__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 21, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__3__metadata.json b/metadata/EUDeclarationOfConformity__3__metadata.json new file mode 100644 index 00000000..d4fce3fa --- /dev/null +++ b/metadata/EUDeclarationOfConformity__3__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__4__metadata.json b/metadata/EUDeclarationOfConformity__4__metadata.json new file mode 100644 index 00000000..f967d437 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__10__metadata.json b/metadata/FM1003__10__metadata.json index 95b3667e..4d834b4b 100644 --- a/metadata/FM1003__10__metadata.json +++ b/metadata/FM1003__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__12__metadata.json b/metadata/FM1003__12__metadata.json index 56fdd316..26be5535 100644 --- a/metadata/FM1003__12__metadata.json +++ b/metadata/FM1003__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__10__metadata.json b/metadata/FinancialStatements__10__metadata.json index 81dc1f57..2d5abac5 100644 --- a/metadata/FinancialStatements__10__metadata.json +++ b/metadata/FinancialStatements__10__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__8__metadata.json b/metadata/FinancialStatements__8__metadata.json index 5d272e86..78683502 100644 --- a/metadata/FinancialStatements__8__metadata.json +++ b/metadata/FinancialStatements__8__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__10__metadata.json b/metadata/I9__10__metadata.json index 1acf7e46..d0789638 100644 --- a/metadata/I9__10__metadata.json +++ b/metadata/I9__10__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__12__metadata.json b/metadata/I9__12__metadata.json index aeff53a9..a6f98545 100644 --- a/metadata/I9__12__metadata.json +++ b/metadata/I9__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__12__metadata.json b/metadata/IDCards__12__metadata.json index 37db138a..9b1f4ad3 100644 --- a/metadata/IDCards__12__metadata.json +++ b/metadata/IDCards__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__14__metadata.json b/metadata/IDCards__14__metadata.json index 4e7406df..29b25b04 100644 --- a/metadata/IDCards__14__metadata.json +++ b/metadata/IDCards__14__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__18__metadata.json b/metadata/IndianInvoices__18__metadata.json index 42f0312a..5558b2bb 100644 --- a/metadata/IndianInvoices__18__metadata.json +++ b/metadata/IndianInvoices__18__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 18, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__20__metadata.json b/metadata/IndianInvoices__20__metadata.json index ff37963e..102134b1 100644 --- a/metadata/IndianInvoices__20__metadata.json +++ b/metadata/IndianInvoices__20__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 20, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__11__metadata.json b/metadata/InvoicesChina__11__metadata.json index ce3304c0..9278ea02 100644 --- a/metadata/InvoicesChina__11__metadata.json +++ b/metadata/InvoicesChina__11__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 11, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__13__metadata.json b/metadata/InvoicesChina__13__metadata.json index 5bfc2022..bddb813b 100644 --- a/metadata/InvoicesChina__13__metadata.json +++ b/metadata/InvoicesChina__13__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 13, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__3__metadata.json b/metadata/InvoicesShipping__3__metadata.json new file mode 100644 index 00000000..63639401 --- /dev/null +++ b/metadata/InvoicesShipping__3__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/InvoicesShipping__4__metadata.json b/metadata/InvoicesShipping__4__metadata.json new file mode 100644 index 00000000..48f73700 --- /dev/null +++ b/metadata/InvoicesShipping__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__19__metadata.json b/metadata/Invoices__19__metadata.json index 378d74ed..e6c4acca 100644 --- a/metadata/Invoices__19__metadata.json +++ b/metadata/Invoices__19__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 19, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__21__metadata.json b/metadata/Invoices__21__metadata.json index a40724b7..4f9623f7 100644 --- a/metadata/Invoices__21__metadata.json +++ b/metadata/Invoices__21__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 21, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__16__metadata.json b/metadata/JapaneseInvoices__16__metadata.json index 5262fd6c..3cc90afa 100644 --- a/metadata/JapaneseInvoices__16__metadata.json +++ b/metadata/JapaneseInvoices__16__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 16, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__18__metadata.json b/metadata/JapaneseInvoices__18__metadata.json index 0c0c4d4d..07d05543 100644 --- a/metadata/JapaneseInvoices__18__metadata.json +++ b/metadata/JapaneseInvoices__18__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 18, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__10__metadata.json b/metadata/PackingLists__10__metadata.json index ff50be1d..0702a632 100644 --- a/metadata/PackingLists__10__metadata.json +++ b/metadata/PackingLists__10__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__8__metadata.json b/metadata/PackingLists__8__metadata.json index 1345571d..c37b5e29 100644 --- a/metadata/PackingLists__8__metadata.json +++ b/metadata/PackingLists__8__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__12__metadata.json b/metadata/Passports__12__metadata.json index 3db489e3..b2ea6476 100644 --- a/metadata/Passports__12__metadata.json +++ b/metadata/Passports__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__14__metadata.json b/metadata/Passports__14__metadata.json index 5a9338df..0da1bc71 100644 --- a/metadata/Passports__14__metadata.json +++ b/metadata/Passports__14__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__3__metadata.json b/metadata/Payslips__3__metadata.json new file mode 100644 index 00000000..fca5f982 --- /dev/null +++ b/metadata/Payslips__3__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "23.4.3", + "imagePath": "du-semistructured:v23.4.3-rc21", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/Payslips__4__metadata.json b/metadata/Payslips__4__metadata.json new file mode 100644 index 00000000..5e88ec4c --- /dev/null +++ b/metadata/Payslips__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__18__metadata.json b/metadata/PurchaseOrders__18__metadata.json index 3653c0f7..5d6d8cd4 100644 --- a/metadata/PurchaseOrders__18__metadata.json +++ b/metadata/PurchaseOrders__18__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 18, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__20__metadata.json b/metadata/PurchaseOrders__20__metadata.json index 96945701..d5dfc21e 100644 --- a/metadata/PurchaseOrders__20__metadata.json +++ b/metadata/PurchaseOrders__20__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 20, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__19__metadata.json b/metadata/Receipts__19__metadata.json index 7a890e07..000443dc 100644 --- a/metadata/Receipts__19__metadata.json +++ b/metadata/Receipts__19__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 19, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__21__metadata.json b/metadata/Receipts__21__metadata.json index 4326aa44..6aaf0a38 100644 --- a/metadata/Receipts__21__metadata.json +++ b/metadata/Receipts__21__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 21, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__11__metadata.json b/metadata/RemittanceAdvices__11__metadata.json index 4ea3dd6f..28eb5b66 100644 --- a/metadata/RemittanceAdvices__11__metadata.json +++ b/metadata/RemittanceAdvices__11__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 11, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__13__metadata.json b/metadata/RemittanceAdvices__13__metadata.json index ce4e71c2..5507fdce 100644 --- a/metadata/RemittanceAdvices__13__metadata.json +++ b/metadata/RemittanceAdvices__13__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 13, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__8__metadata.json b/metadata/UiPathDocumentOCR_CPU__8__metadata.json index 4fdcfc77..f657ce67 100644 --- a/metadata/UiPathDocumentOCR_CPU__8__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__8__metadata.json @@ -20,7 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-doc-ocr-cpu:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-doc-ocr-cpu:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } + diff --git a/metadata/UiPathDocumentOCR_CPU__9__metadata.json b/metadata/UiPathDocumentOCR_CPU__9__metadata.json index 17d8a038..bc38d35f 100644 --- a/metadata/UiPathDocumentOCR_CPU__9__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__9__metadata.json @@ -20,8 +20,7 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 9, - "customVersion": "22.10.7", - "imagePath": "du-doc-ocr-cpu:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-doc-ocr-cpu:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } - diff --git a/metadata/UiPathDocumentOCR__13__metadata.json b/metadata/UiPathDocumentOCR__13__metadata.json index d69cd1f7..558c8a0f 100644 --- a/metadata/UiPathDocumentOCR__13__metadata.json +++ b/metadata/UiPathDocumentOCR__13__metadata.json @@ -20,7 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 13, - "customVersion": "23.10.0", - "imagePath": "du-doc-ocr:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-doc-ocr:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } + diff --git a/metadata/UiPathDocumentOCR__14__metadata.json b/metadata/UiPathDocumentOCR__14__metadata.json index f4d13856..333b4538 100644 --- a/metadata/UiPathDocumentOCR__14__metadata.json +++ b/metadata/UiPathDocumentOCR__14__metadata.json @@ -20,8 +20,7 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "22.10.7", - "imagePath": "du-doc-ocr:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-doc-ocr:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } - diff --git a/metadata/UtilityBills__18__metadata.json b/metadata/UtilityBills__18__metadata.json index 4bc42e08..1a0917b6 100644 --- a/metadata/UtilityBills__18__metadata.json +++ b/metadata/UtilityBills__18__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 18, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__20__metadata.json b/metadata/UtilityBills__20__metadata.json index 3848f2bb..3b375bd8 100644 --- a/metadata/UtilityBills__20__metadata.json +++ b/metadata/UtilityBills__20__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 20, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__10__metadata.json b/metadata/VehicleTitles__10__metadata.json index 93f9e01c..f8f3c0f4 100644 --- a/metadata/VehicleTitles__10__metadata.json +++ b/metadata/VehicleTitles__10__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__8__metadata.json b/metadata/VehicleTitles__8__metadata.json index a9ee16ce..3242a7eb 100644 --- a/metadata/VehicleTitles__8__metadata.json +++ b/metadata/VehicleTitles__8__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 8, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__11__metadata.json b/metadata/W2__11__metadata.json index bb1af3bb..52abdef2 100644 --- a/metadata/W2__11__metadata.json +++ b/metadata/W2__11__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 11, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__13__metadata.json b/metadata/W2__13__metadata.json index dd064cef..ea1c6fd5 100644 --- a/metadata/W2__13__metadata.json +++ b/metadata/W2__13__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 13, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__11__metadata.json b/metadata/W9__11__metadata.json index e3b4e05b..d5eefcfc 100644 --- a/metadata/W9__11__metadata.json +++ b/metadata/W9__11__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 11, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", + "customVersion": "22.10.7", + "imagePath": "du-semistructured:v22.10.8-rc36", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__13__metadata.json b/metadata/W9__13__metadata.json index 1077eb25..9474d5ad 100644 --- a/metadata/W9__13__metadata.json +++ b/metadata/W9__13__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 13, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", + "customVersion": "23.10.0", + "imagePath": "du-semistructured:v23.10.0-rc68", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From be9e528b9e3325c350da8f51b45f70988707bc28 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 14 Jul 2023 13:11:28 +0300 Subject: [PATCH 166/267] Add script that help generating new versions --- metadata_generate_new_du_versions.ps1 | 78 +++++++++++++++++++++++++++ 1 file changed, 78 insertions(+) create mode 100644 metadata_generate_new_du_versions.ps1 diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 new file mode 100644 index 00000000..57d34801 --- /dev/null +++ b/metadata_generate_new_du_versions.ps1 @@ -0,0 +1,78 @@ +# Define the path to the folder containing the files +$folderPath = $PSScriptRoot + "/metadata" + +echo $folderPath + +$oldCustomVersion = '22.10.7' +# Set the new custom version number +$newCustomVersion = '22.10.8' + +# Set the text to be replaced and the replacement text +$oldText = 'du-semistructured:v22.10.8-rc36' +$newText = 'du-semistructured:v22.10.8-rc37' + +# Get a list of all files in the folder that match the specified format +$fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } + +# Create a hashtable to store the highest version number for each model +$maxModelVersions = @{} +$previousFileVersion = @{} + +Write-Host $fileList + +# Loop through each file and determine if it has a higher version number than any previously processed file for the same model +foreach ($file in $fileList) { + $fileName = $file.Name + Write-Host $fileName + $match = [regex]::Match($fileName, "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$") + $model = $match.Groups[1].Value + $version = [int]$match.Groups[2].Value + + if ($maxModelVersions.ContainsKey($model)) { + $currentVersion = [int]$maxModelVersions[$model] + if ($version -gt $currentVersion) { + $maxModelVersions[$model] = $version + } + } + else { + $maxModelVersions[$model] = $version + } + + $json = Get-Content $file.FullName | ConvertFrom-Json + if ($json.customVersion -eq $oldCustomVersion){ + $previousFileVersion[$model] = $version + } +} + +# Loop through each file again and create a copy of the file with the previous version number for each model +foreach ($file in $fileList) { + $fileName = $file.Name + $match = [regex]::Match($fileName, "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$") + $model = $match.Groups[1].Value + $version = [int]$match.Groups[2].Value + + if ($version -eq $previousFileVersion[$model]) { + $newVersion = $maxModelVersions[$model] + 1 + $newFileName = "$model" + "__" + "$newVersion" + "__metadata.json" + $newFilePath = Join-Path $folderPath $newFileName + + # Read the JSON file, increment the version number, and update the custom version field + $json = Get-Content $file.FullName | ConvertFrom-Json + + if ($json.mlPackageLanguage -like '*DU' -and $json.imagePath){ + Write-Host $model + + $json.version = $newVersion + $json.customVersion = $newCustomVersion + + # Replace the specified text with the new text + $json.imagePath = $json.imagePath -replace $oldText, $newText + + $json | ConvertTo-Json -Depth 100 | Out-File $newFilePath + + # Copy the file's last write time to the new file + $newFile = Get-Item $newFilePath + $newFile.LastWriteTime = $file.LastWriteTime + } + } +} \ No newline at end of file From c7b216fdcc4376739f617a61c6eefe81079a3310 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Wed, 29 Nov 2023 10:52:06 +0200 Subject: [PATCH 167/267] Add 22.10.8 DU ML Models --- metadata/1040__11__metadata.json | 34 +++++++++++++++++++ metadata/4506T__13__metadata.json | 34 +++++++++++++++++++ metadata/990__13__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__13__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__11__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__11__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__11__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__11__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__20__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__11__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__11__metadata.json | 33 ++++++++++++++++++ metadata/Checks__11__metadata.json | 33 ++++++++++++++++++ .../DocumentClassifier__13__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__22__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__13__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__11__metadata.json | 33 ++++++++++++++++++ metadata/I9__13__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__15__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__21__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__14__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__22__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__19__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__11__metadata.json | 33 ++++++++++++++++++ metadata/Passports__15__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__21__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__22__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__14__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__10__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__15__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__21__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__11__metadata.json | 33 ++++++++++++++++++ metadata/W2__14__metadata.json | 34 +++++++++++++++++++ metadata/W9__14__metadata.json | 34 +++++++++++++++++++ 33 files changed, 1094 insertions(+) create mode 100644 metadata/1040__11__metadata.json create mode 100644 metadata/4506T__13__metadata.json create mode 100644 metadata/990__13__metadata.json create mode 100644 metadata/Acord125__13__metadata.json create mode 100644 metadata/Acord126__11__metadata.json create mode 100644 metadata/Acord131__11__metadata.json create mode 100644 metadata/Acord140__11__metadata.json create mode 100644 metadata/Acord25__11__metadata.json create mode 100644 metadata/AustralianInvoices__20__metadata.json create mode 100644 metadata/BankStatements__11__metadata.json create mode 100644 metadata/BillsOfLading__11__metadata.json create mode 100644 metadata/Checks__11__metadata.json create mode 100644 metadata/DocumentClassifier__13__metadata.json create mode 100644 metadata/DocumentUnderstanding__22__metadata.json create mode 100644 metadata/FM1003__13__metadata.json create mode 100644 metadata/FinancialStatements__11__metadata.json create mode 100644 metadata/I9__13__metadata.json create mode 100644 metadata/IDCards__15__metadata.json create mode 100644 metadata/IndianInvoices__21__metadata.json create mode 100644 metadata/InvoicesChina__14__metadata.json create mode 100644 metadata/Invoices__22__metadata.json create mode 100644 metadata/JapaneseInvoices__19__metadata.json create mode 100644 metadata/PackingLists__11__metadata.json create mode 100644 metadata/Passports__15__metadata.json create mode 100644 metadata/PurchaseOrders__21__metadata.json create mode 100644 metadata/Receipts__22__metadata.json create mode 100644 metadata/RemittanceAdvices__14__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__10__metadata.json create mode 100644 metadata/UiPathDocumentOCR__15__metadata.json create mode 100644 metadata/UtilityBills__21__metadata.json create mode 100644 metadata/VehicleTitles__11__metadata.json create mode 100644 metadata/W2__14__metadata.json create mode 100644 metadata/W9__14__metadata.json diff --git a/metadata/1040__11__metadata.json b/metadata/1040__11__metadata.json new file mode 100644 index 00000000..1a5378e5 --- /dev/null +++ b/metadata/1040__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__13__metadata.json b/metadata/4506T__13__metadata.json new file mode 100644 index 00000000..931b942e --- /dev/null +++ b/metadata/4506T__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__13__metadata.json b/metadata/990__13__metadata.json new file mode 100644 index 00000000..c5cc9ba9 --- /dev/null +++ b/metadata/990__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__13__metadata.json b/metadata/Acord125__13__metadata.json new file mode 100644 index 00000000..56e4af7e --- /dev/null +++ b/metadata/Acord125__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__11__metadata.json b/metadata/Acord126__11__metadata.json new file mode 100644 index 00000000..f72f88ad --- /dev/null +++ b/metadata/Acord126__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__11__metadata.json b/metadata/Acord131__11__metadata.json new file mode 100644 index 00000000..a5650072 --- /dev/null +++ b/metadata/Acord131__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__11__metadata.json b/metadata/Acord140__11__metadata.json new file mode 100644 index 00000000..49b55a2e --- /dev/null +++ b/metadata/Acord140__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__11__metadata.json b/metadata/Acord25__11__metadata.json new file mode 100644 index 00000000..603810b0 --- /dev/null +++ b/metadata/Acord25__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__20__metadata.json b/metadata/AustralianInvoices__20__metadata.json new file mode 100644 index 00000000..403ce6b7 --- /dev/null +++ b/metadata/AustralianInvoices__20__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__11__metadata.json b/metadata/BankStatements__11__metadata.json new file mode 100644 index 00000000..6237d8d7 --- /dev/null +++ b/metadata/BankStatements__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__11__metadata.json b/metadata/BillsOfLading__11__metadata.json new file mode 100644 index 00000000..e6d6bfe9 --- /dev/null +++ b/metadata/BillsOfLading__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__11__metadata.json b/metadata/Checks__11__metadata.json new file mode 100644 index 00000000..7e34ef6b --- /dev/null +++ b/metadata/Checks__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentClassifier__13__metadata.json b/metadata/DocumentClassifier__13__metadata.json new file mode 100644 index 00000000..0bf52c7e --- /dev/null +++ b/metadata/DocumentClassifier__13__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.9", + "imagePath": "du-ml-document-type-text-classifier:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__22__metadata.json b/metadata/DocumentUnderstanding__22__metadata.json new file mode 100644 index 00000000..dc814073 --- /dev/null +++ b/metadata/DocumentUnderstanding__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__13__metadata.json b/metadata/FM1003__13__metadata.json new file mode 100644 index 00000000..ccb36cd2 --- /dev/null +++ b/metadata/FM1003__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__11__metadata.json b/metadata/FinancialStatements__11__metadata.json new file mode 100644 index 00000000..e74481dd --- /dev/null +++ b/metadata/FinancialStatements__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__13__metadata.json b/metadata/I9__13__metadata.json new file mode 100644 index 00000000..6bb4de36 --- /dev/null +++ b/metadata/I9__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__15__metadata.json b/metadata/IDCards__15__metadata.json new file mode 100644 index 00000000..46dd8358 --- /dev/null +++ b/metadata/IDCards__15__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__21__metadata.json b/metadata/IndianInvoices__21__metadata.json new file mode 100644 index 00000000..49717bff --- /dev/null +++ b/metadata/IndianInvoices__21__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__14__metadata.json b/metadata/InvoicesChina__14__metadata.json new file mode 100644 index 00000000..0ee0db15 --- /dev/null +++ b/metadata/InvoicesChina__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__22__metadata.json b/metadata/Invoices__22__metadata.json new file mode 100644 index 00000000..b149e18b --- /dev/null +++ b/metadata/Invoices__22__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__19__metadata.json b/metadata/JapaneseInvoices__19__metadata.json new file mode 100644 index 00000000..d6cfc3ef --- /dev/null +++ b/metadata/JapaneseInvoices__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__11__metadata.json b/metadata/PackingLists__11__metadata.json new file mode 100644 index 00000000..00845777 --- /dev/null +++ b/metadata/PackingLists__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__15__metadata.json b/metadata/Passports__15__metadata.json new file mode 100644 index 00000000..64c7f278 --- /dev/null +++ b/metadata/Passports__15__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__21__metadata.json b/metadata/PurchaseOrders__21__metadata.json new file mode 100644 index 00000000..bd6c1266 --- /dev/null +++ b/metadata/PurchaseOrders__21__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__22__metadata.json b/metadata/Receipts__22__metadata.json new file mode 100644 index 00000000..5afd660c --- /dev/null +++ b/metadata/Receipts__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__14__metadata.json b/metadata/RemittanceAdvices__14__metadata.json new file mode 100644 index 00000000..0369bf9b --- /dev/null +++ b/metadata/RemittanceAdvices__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR_CPU__10__metadata.json b/metadata/UiPathDocumentOCR_CPU__10__metadata.json new file mode 100644 index 00000000..c63cdefc --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__10__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "22.10.9", + "imagePath": "du-doc-ocr-cpu:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UiPathDocumentOCR__15__metadata.json b/metadata/UiPathDocumentOCR__15__metadata.json new file mode 100644 index 00000000..b18e4858 --- /dev/null +++ b/metadata/UiPathDocumentOCR__15__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "22.10.9", + "imagePath": "du-doc-ocr:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__21__metadata.json b/metadata/UtilityBills__21__metadata.json new file mode 100644 index 00000000..74c13a70 --- /dev/null +++ b/metadata/UtilityBills__21__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__11__metadata.json b/metadata/VehicleTitles__11__metadata.json new file mode 100644 index 00000000..f12dec67 --- /dev/null +++ b/metadata/VehicleTitles__11__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__14__metadata.json b/metadata/W2__14__metadata.json new file mode 100644 index 00000000..5c7bbe2c --- /dev/null +++ b/metadata/W2__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__14__metadata.json b/metadata/W9__14__metadata.json new file mode 100644 index 00000000..61109038 --- /dev/null +++ b/metadata/W9__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "22.10.9", + "imagePath": "du-semistructured:v22.10.9-rc06", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From 96d16268afa7c25f85878ea7c06b8a7eaa57e1d7 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 8 Dec 2023 19:54:10 +0200 Subject: [PATCH 168/267] [ACTV-67618] Training fixes --- metadata/1040__11__metadata.json | 2 +- metadata/4506T__13__metadata.json | 2 +- metadata/990__13__metadata.json | 2 +- metadata/Acord125__13__metadata.json | 2 +- metadata/Acord126__11__metadata.json | 2 +- metadata/Acord131__11__metadata.json | 2 +- metadata/Acord140__11__metadata.json | 2 +- metadata/Acord25__11__metadata.json | 2 +- metadata/AustralianInvoices__20__metadata.json | 2 +- metadata/BankStatements__11__metadata.json | 2 +- metadata/BillsOfLading__11__metadata.json | 2 +- metadata/Checks__11__metadata.json | 2 +- metadata/DocumentClassifier__13__metadata.json | 2 +- metadata/DocumentUnderstanding__22__metadata.json | 2 +- metadata/FM1003__13__metadata.json | 2 +- metadata/FinancialStatements__11__metadata.json | 2 +- metadata/I9__13__metadata.json | 2 +- metadata/IDCards__15__metadata.json | 2 +- metadata/IndianInvoices__21__metadata.json | 2 +- metadata/InvoicesChina__14__metadata.json | 2 +- metadata/Invoices__22__metadata.json | 2 +- metadata/JapaneseInvoices__19__metadata.json | 2 +- metadata/PackingLists__11__metadata.json | 2 +- metadata/Passports__15__metadata.json | 2 +- metadata/PurchaseOrders__21__metadata.json | 2 +- metadata/Receipts__22__metadata.json | 2 +- metadata/RemittanceAdvices__14__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__10__metadata.json | 2 +- metadata/UiPathDocumentOCR__15__metadata.json | 2 +- metadata/UtilityBills__21__metadata.json | 2 +- metadata/VehicleTitles__11__metadata.json | 2 +- metadata/W2__14__metadata.json | 2 +- metadata/W9__14__metadata.json | 2 +- 33 files changed, 33 insertions(+), 33 deletions(-) diff --git a/metadata/1040__11__metadata.json b/metadata/1040__11__metadata.json index 1a5378e5..b0502ab8 100644 --- a/metadata/1040__11__metadata.json +++ b/metadata/1040__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__13__metadata.json b/metadata/4506T__13__metadata.json index 931b942e..4e2befaf 100644 --- a/metadata/4506T__13__metadata.json +++ b/metadata/4506T__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__13__metadata.json b/metadata/990__13__metadata.json index c5cc9ba9..49bc396b 100644 --- a/metadata/990__13__metadata.json +++ b/metadata/990__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__13__metadata.json b/metadata/Acord125__13__metadata.json index 56e4af7e..ec97a435 100644 --- a/metadata/Acord125__13__metadata.json +++ b/metadata/Acord125__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__11__metadata.json b/metadata/Acord126__11__metadata.json index f72f88ad..31b577c6 100644 --- a/metadata/Acord126__11__metadata.json +++ b/metadata/Acord126__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__11__metadata.json b/metadata/Acord131__11__metadata.json index a5650072..752a1ccd 100644 --- a/metadata/Acord131__11__metadata.json +++ b/metadata/Acord131__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__11__metadata.json b/metadata/Acord140__11__metadata.json index 49b55a2e..7432d0f7 100644 --- a/metadata/Acord140__11__metadata.json +++ b/metadata/Acord140__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__11__metadata.json b/metadata/Acord25__11__metadata.json index 603810b0..3ba47663 100644 --- a/metadata/Acord25__11__metadata.json +++ b/metadata/Acord25__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__20__metadata.json b/metadata/AustralianInvoices__20__metadata.json index 403ce6b7..64d0af66 100644 --- a/metadata/AustralianInvoices__20__metadata.json +++ b/metadata/AustralianInvoices__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__11__metadata.json b/metadata/BankStatements__11__metadata.json index 6237d8d7..df2f27ce 100644 --- a/metadata/BankStatements__11__metadata.json +++ b/metadata/BankStatements__11__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__11__metadata.json b/metadata/BillsOfLading__11__metadata.json index e6d6bfe9..44ce6d9b 100644 --- a/metadata/BillsOfLading__11__metadata.json +++ b/metadata/BillsOfLading__11__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__11__metadata.json b/metadata/Checks__11__metadata.json index 7e34ef6b..28cd1fff 100644 --- a/metadata/Checks__11__metadata.json +++ b/metadata/Checks__11__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__13__metadata.json b/metadata/DocumentClassifier__13__metadata.json index 0bf52c7e..9b30bead 100644 --- a/metadata/DocumentClassifier__13__metadata.json +++ b/metadata/DocumentClassifier__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.9", - "imagePath": "du-ml-document-type-text-classifier:v22.10.9-rc06", + "imagePath": "du-ml-document-type-text-classifier:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__22__metadata.json b/metadata/DocumentUnderstanding__22__metadata.json index dc814073..4bd2b83f 100644 --- a/metadata/DocumentUnderstanding__22__metadata.json +++ b/metadata/DocumentUnderstanding__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__13__metadata.json b/metadata/FM1003__13__metadata.json index ccb36cd2..e7f7be82 100644 --- a/metadata/FM1003__13__metadata.json +++ b/metadata/FM1003__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__11__metadata.json b/metadata/FinancialStatements__11__metadata.json index e74481dd..0361c9a0 100644 --- a/metadata/FinancialStatements__11__metadata.json +++ b/metadata/FinancialStatements__11__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__13__metadata.json b/metadata/I9__13__metadata.json index 6bb4de36..eb92d9a2 100644 --- a/metadata/I9__13__metadata.json +++ b/metadata/I9__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__15__metadata.json b/metadata/IDCards__15__metadata.json index 46dd8358..4a7820b6 100644 --- a/metadata/IDCards__15__metadata.json +++ b/metadata/IDCards__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__21__metadata.json b/metadata/IndianInvoices__21__metadata.json index 49717bff..0cc76149 100644 --- a/metadata/IndianInvoices__21__metadata.json +++ b/metadata/IndianInvoices__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__14__metadata.json b/metadata/InvoicesChina__14__metadata.json index 0ee0db15..40c8543b 100644 --- a/metadata/InvoicesChina__14__metadata.json +++ b/metadata/InvoicesChina__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__22__metadata.json b/metadata/Invoices__22__metadata.json index b149e18b..7705e27e 100644 --- a/metadata/Invoices__22__metadata.json +++ b/metadata/Invoices__22__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__19__metadata.json b/metadata/JapaneseInvoices__19__metadata.json index d6cfc3ef..3a3e7bb7 100644 --- a/metadata/JapaneseInvoices__19__metadata.json +++ b/metadata/JapaneseInvoices__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__11__metadata.json b/metadata/PackingLists__11__metadata.json index 00845777..c6e5c1e5 100644 --- a/metadata/PackingLists__11__metadata.json +++ b/metadata/PackingLists__11__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__15__metadata.json b/metadata/Passports__15__metadata.json index 64c7f278..a22dc37c 100644 --- a/metadata/Passports__15__metadata.json +++ b/metadata/Passports__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__21__metadata.json b/metadata/PurchaseOrders__21__metadata.json index bd6c1266..b35899ff 100644 --- a/metadata/PurchaseOrders__21__metadata.json +++ b/metadata/PurchaseOrders__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__22__metadata.json b/metadata/Receipts__22__metadata.json index 5afd660c..36da3d86 100644 --- a/metadata/Receipts__22__metadata.json +++ b/metadata/Receipts__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__14__metadata.json b/metadata/RemittanceAdvices__14__metadata.json index 0369bf9b..271c73ab 100644 --- a/metadata/RemittanceAdvices__14__metadata.json +++ b/metadata/RemittanceAdvices__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__10__metadata.json b/metadata/UiPathDocumentOCR_CPU__10__metadata.json index c63cdefc..d5ea5793 100644 --- a/metadata/UiPathDocumentOCR_CPU__10__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "22.10.9", - "imagePath": "du-doc-ocr-cpu:v22.10.9-rc06", + "imagePath": "du-doc-ocr-cpu:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__15__metadata.json b/metadata/UiPathDocumentOCR__15__metadata.json index b18e4858..f1114d5f 100644 --- a/metadata/UiPathDocumentOCR__15__metadata.json +++ b/metadata/UiPathDocumentOCR__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "22.10.9", - "imagePath": "du-doc-ocr:v22.10.9-rc06", + "imagePath": "du-doc-ocr:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__21__metadata.json b/metadata/UtilityBills__21__metadata.json index 74c13a70..5dfd3aa4 100644 --- a/metadata/UtilityBills__21__metadata.json +++ b/metadata/UtilityBills__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__11__metadata.json b/metadata/VehicleTitles__11__metadata.json index f12dec67..01d54804 100644 --- a/metadata/VehicleTitles__11__metadata.json +++ b/metadata/VehicleTitles__11__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 11, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__14__metadata.json b/metadata/W2__14__metadata.json index 5c7bbe2c..6f663101 100644 --- a/metadata/W2__14__metadata.json +++ b/metadata/W2__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__14__metadata.json b/metadata/W9__14__metadata.json index 61109038..edb88be9 100644 --- a/metadata/W9__14__metadata.json +++ b/metadata/W9__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc06", + "imagePath": "du-semistructured:v22.10.9-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 013bcd11c8fd8a5a1ab8e2cdf55ec866416ed828 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Mon, 8 Jan 2024 15:45:27 +0200 Subject: [PATCH 169/267] Add SSDE 23.10.1 version --- metadata/1040__12__metadata.json | 34 +++++++++++++++++++ metadata/4506T__14__metadata.json | 34 +++++++++++++++++++ metadata/990__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__12__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__12__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__12__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__12__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__12__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__12__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__5__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__5__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__5__metadata.json | 34 +++++++++++++++++++ metadata/Checks__12__metadata.json | 33 ++++++++++++++++++ ...ldrenProductCertificates__5__metadata.json | 34 +++++++++++++++++++ .../DocumentUnderstanding__23__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__5__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__14__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__12__metadata.json | 33 ++++++++++++++++++ metadata/I9__14__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__16__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__22__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__15__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__5__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__23__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__20__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__12__metadata.json | 33 ++++++++++++++++++ metadata/Passports__16__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__5__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__22__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__23__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__15__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__22__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__12__metadata.json | 33 ++++++++++++++++++ metadata/W2__15__metadata.json | 34 +++++++++++++++++++ metadata/W9__15__metadata.json | 34 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 8 ++--- 37 files changed, 1221 insertions(+), 4 deletions(-) create mode 100644 metadata/1040__12__metadata.json create mode 100644 metadata/4506T__14__metadata.json create mode 100644 metadata/990__14__metadata.json create mode 100644 metadata/Acord125__14__metadata.json create mode 100644 metadata/Acord126__12__metadata.json create mode 100644 metadata/Acord131__12__metadata.json create mode 100644 metadata/Acord140__12__metadata.json create mode 100644 metadata/Acord25__12__metadata.json create mode 100644 metadata/BankStatements__12__metadata.json create mode 100644 metadata/BillsOfLading__12__metadata.json create mode 100644 metadata/CMS1500__5__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__5__metadata.json create mode 100644 metadata/CertificatesOfOrigin__5__metadata.json create mode 100644 metadata/Checks__12__metadata.json create mode 100644 metadata/ChildrenProductCertificates__5__metadata.json create mode 100644 metadata/DocumentUnderstanding__23__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__5__metadata.json create mode 100644 metadata/FM1003__14__metadata.json create mode 100644 metadata/FinancialStatements__12__metadata.json create mode 100644 metadata/I9__14__metadata.json create mode 100644 metadata/IDCards__16__metadata.json create mode 100644 metadata/IndianInvoices__22__metadata.json create mode 100644 metadata/InvoicesChina__15__metadata.json create mode 100644 metadata/InvoicesShipping__5__metadata.json create mode 100644 metadata/Invoices__23__metadata.json create mode 100644 metadata/JapaneseInvoices__20__metadata.json create mode 100644 metadata/PackingLists__12__metadata.json create mode 100644 metadata/Passports__16__metadata.json create mode 100644 metadata/Payslips__5__metadata.json create mode 100644 metadata/PurchaseOrders__22__metadata.json create mode 100644 metadata/Receipts__23__metadata.json create mode 100644 metadata/RemittanceAdvices__15__metadata.json create mode 100644 metadata/UtilityBills__22__metadata.json create mode 100644 metadata/VehicleTitles__12__metadata.json create mode 100644 metadata/W2__15__metadata.json create mode 100644 metadata/W9__15__metadata.json diff --git a/metadata/1040__12__metadata.json b/metadata/1040__12__metadata.json new file mode 100644 index 00000000..e5e0bd8e --- /dev/null +++ b/metadata/1040__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__14__metadata.json b/metadata/4506T__14__metadata.json new file mode 100644 index 00000000..fa98c0a9 --- /dev/null +++ b/metadata/4506T__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__14__metadata.json b/metadata/990__14__metadata.json new file mode 100644 index 00000000..942d85ac --- /dev/null +++ b/metadata/990__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__14__metadata.json b/metadata/Acord125__14__metadata.json new file mode 100644 index 00000000..020e9842 --- /dev/null +++ b/metadata/Acord125__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__12__metadata.json b/metadata/Acord126__12__metadata.json new file mode 100644 index 00000000..8be4cc20 --- /dev/null +++ b/metadata/Acord126__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__12__metadata.json b/metadata/Acord131__12__metadata.json new file mode 100644 index 00000000..3864258e --- /dev/null +++ b/metadata/Acord131__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__12__metadata.json b/metadata/Acord140__12__metadata.json new file mode 100644 index 00000000..f8574004 --- /dev/null +++ b/metadata/Acord140__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__12__metadata.json b/metadata/Acord25__12__metadata.json new file mode 100644 index 00000000..6e379bf8 --- /dev/null +++ b/metadata/Acord25__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/BankStatements__12__metadata.json b/metadata/BankStatements__12__metadata.json new file mode 100644 index 00000000..b5567cb0 --- /dev/null +++ b/metadata/BankStatements__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__12__metadata.json b/metadata/BillsOfLading__12__metadata.json new file mode 100644 index 00000000..d2b1dc6f --- /dev/null +++ b/metadata/BillsOfLading__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__5__metadata.json b/metadata/CMS1500__5__metadata.json new file mode 100644 index 00000000..1835542e --- /dev/null +++ b/metadata/CMS1500__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__5__metadata.json b/metadata/CertificatesOfIncorporation__5__metadata.json new file mode 100644 index 00000000..b45cf501 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__5__metadata.json b/metadata/CertificatesOfOrigin__5__metadata.json new file mode 100644 index 00000000..95082236 --- /dev/null +++ b/metadata/CertificatesOfOrigin__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__12__metadata.json b/metadata/Checks__12__metadata.json new file mode 100644 index 00000000..e88c48bd --- /dev/null +++ b/metadata/Checks__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__5__metadata.json b/metadata/ChildrenProductCertificates__5__metadata.json new file mode 100644 index 00000000..c8b238e2 --- /dev/null +++ b/metadata/ChildrenProductCertificates__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentUnderstanding__23__metadata.json b/metadata/DocumentUnderstanding__23__metadata.json new file mode 100644 index 00000000..1b13a73d --- /dev/null +++ b/metadata/DocumentUnderstanding__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__5__metadata.json b/metadata/EUDeclarationOfConformity__5__metadata.json new file mode 100644 index 00000000..77d14c65 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__14__metadata.json b/metadata/FM1003__14__metadata.json new file mode 100644 index 00000000..4b115302 --- /dev/null +++ b/metadata/FM1003__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__12__metadata.json b/metadata/FinancialStatements__12__metadata.json new file mode 100644 index 00000000..6488941e --- /dev/null +++ b/metadata/FinancialStatements__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__14__metadata.json b/metadata/I9__14__metadata.json new file mode 100644 index 00000000..973dfcfc --- /dev/null +++ b/metadata/I9__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__16__metadata.json b/metadata/IDCards__16__metadata.json new file mode 100644 index 00000000..08d93eb3 --- /dev/null +++ b/metadata/IDCards__16__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__22__metadata.json b/metadata/IndianInvoices__22__metadata.json new file mode 100644 index 00000000..c0101df3 --- /dev/null +++ b/metadata/IndianInvoices__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__15__metadata.json b/metadata/InvoicesChina__15__metadata.json new file mode 100644 index 00000000..1ec9754c --- /dev/null +++ b/metadata/InvoicesChina__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__5__metadata.json b/metadata/InvoicesShipping__5__metadata.json new file mode 100644 index 00000000..704d32d0 --- /dev/null +++ b/metadata/InvoicesShipping__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__23__metadata.json b/metadata/Invoices__23__metadata.json new file mode 100644 index 00000000..cd2d06d8 --- /dev/null +++ b/metadata/Invoices__23__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__20__metadata.json b/metadata/JapaneseInvoices__20__metadata.json new file mode 100644 index 00000000..6fc9ba6f --- /dev/null +++ b/metadata/JapaneseInvoices__20__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__12__metadata.json b/metadata/PackingLists__12__metadata.json new file mode 100644 index 00000000..42cded69 --- /dev/null +++ b/metadata/PackingLists__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__16__metadata.json b/metadata/Passports__16__metadata.json new file mode 100644 index 00000000..fd34920a --- /dev/null +++ b/metadata/Passports__16__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__5__metadata.json b/metadata/Payslips__5__metadata.json new file mode 100644 index 00000000..d938102f --- /dev/null +++ b/metadata/Payslips__5__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__22__metadata.json b/metadata/PurchaseOrders__22__metadata.json new file mode 100644 index 00000000..b6b582c0 --- /dev/null +++ b/metadata/PurchaseOrders__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__23__metadata.json b/metadata/Receipts__23__metadata.json new file mode 100644 index 00000000..8369ccd6 --- /dev/null +++ b/metadata/Receipts__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__15__metadata.json b/metadata/RemittanceAdvices__15__metadata.json new file mode 100644 index 00000000..1eee0b64 --- /dev/null +++ b/metadata/RemittanceAdvices__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__22__metadata.json b/metadata/UtilityBills__22__metadata.json new file mode 100644 index 00000000..0fae2179 --- /dev/null +++ b/metadata/UtilityBills__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__12__metadata.json b/metadata/VehicleTitles__12__metadata.json new file mode 100644 index 00000000..f3efc0d0 --- /dev/null +++ b/metadata/VehicleTitles__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__15__metadata.json b/metadata/W2__15__metadata.json new file mode 100644 index 00000000..45050d17 --- /dev/null +++ b/metadata/W2__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__15__metadata.json b/metadata/W9__15__metadata.json new file mode 100644 index 00000000..103a4c65 --- /dev/null +++ b/metadata/W9__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.1", + "imagePath": "du-semistructured:v23.10.1-rc27", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 57d34801..8ef17973 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -3,13 +3,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$oldCustomVersion = '22.10.7' +$oldCustomVersion = '23.10.0' # Set the new custom version number -$newCustomVersion = '22.10.8' +$newCustomVersion = '23.10.1' # Set the text to be replaced and the replacement text -$oldText = 'du-semistructured:v22.10.8-rc36' -$newText = 'du-semistructured:v22.10.8-rc37' +$oldText = 'du-semistructured:v23.10.0-rc68' +$newText = 'du-semistructured:v23.10.1-rc27' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From a7550ed3dd82a2705645ec5cc2809f6e558ab992 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Thu, 1 Feb 2024 09:40:03 +0200 Subject: [PATCH 170/267] [DU] [ML] 23.10.2 model patches --- metadata/1040ScheduleC__1__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleD__1__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleE__1__metadata.json | 34 +++++++++++++++++++ metadata/1040__12__metadata.json | 4 +-- metadata/4506T__14__metadata.json | 4 +-- metadata/990__14__metadata.json | 4 +-- metadata/Acord125__14__metadata.json | 4 +-- metadata/Acord126__12__metadata.json | 4 +-- metadata/Acord131__12__metadata.json | 4 +-- metadata/Acord140__12__metadata.json | 4 +-- metadata/Acord25__12__metadata.json | 4 +-- metadata/BankStatements__12__metadata.json | 4 +-- metadata/BillsOfLading__12__metadata.json | 4 +-- metadata/CMS1500__5__metadata.json | 4 +-- ...tificatesOfIncorporation__5__metadata.json | 4 +-- .../CertificatesOfOrigin__5__metadata.json | 4 +-- metadata/Checks__12__metadata.json | 4 +-- ...ldrenProductCertificates__5__metadata.json | 4 +-- .../DocumentClassifier__14__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__23__metadata.json | 4 +-- ...UDeclarationOfConformity__5__metadata.json | 4 +-- metadata/FM1003__14__metadata.json | 4 +-- .../FinancialStatements__12__metadata.json | 4 +-- metadata/I9__14__metadata.json | 4 +-- metadata/IDCards__16__metadata.json | 4 +-- metadata/IndianInvoices__22__metadata.json | 4 +-- metadata/InvoicesChina__15__metadata.json | 4 +-- metadata/InvoicesShipping__5__metadata.json | 4 +-- metadata/Invoices__23__metadata.json | 4 +-- metadata/JapaneseInvoices__20__metadata.json | 4 +-- metadata/PackingLists__12__metadata.json | 4 +-- metadata/Passports__16__metadata.json | 4 +-- metadata/Payslips__5__metadata.json | 4 +-- metadata/PurchaseOrders__22__metadata.json | 4 +-- metadata/Receipts__23__metadata.json | 4 +-- metadata/RemittanceAdvices__15__metadata.json | 4 +-- metadata/UB04__1__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__11__metadata.json | 26 ++++++++++++++ metadata/UiPathDocumentOCR__16__metadata.json | 26 ++++++++++++++ metadata/UtilityBills__22__metadata.json | 4 +-- metadata/VehicleTitles__12__metadata.json | 4 +-- metadata/W2__15__metadata.json | 4 +-- metadata/W9__15__metadata.json | 4 +-- 43 files changed, 287 insertions(+), 72 deletions(-) create mode 100644 metadata/1040ScheduleC__1__metadata.json create mode 100644 metadata/1040ScheduleD__1__metadata.json create mode 100644 metadata/1040ScheduleE__1__metadata.json create mode 100644 metadata/DocumentClassifier__14__metadata.json create mode 100644 metadata/UB04__1__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__11__metadata.json create mode 100644 metadata/UiPathDocumentOCR__16__metadata.json diff --git a/metadata/1040ScheduleC__1__metadata.json b/metadata/1040ScheduleC__1__metadata.json new file mode 100644 index 00000000..12f280ae --- /dev/null +++ b/metadata/1040ScheduleC__1__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} + diff --git a/metadata/1040ScheduleD__1__metadata.json b/metadata/1040ScheduleD__1__metadata.json new file mode 100644 index 00000000..5af078c3 --- /dev/null +++ b/metadata/1040ScheduleD__1__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} + diff --git a/metadata/1040ScheduleE__1__metadata.json b/metadata/1040ScheduleE__1__metadata.json new file mode 100644 index 00000000..dfb1ff67 --- /dev/null +++ b/metadata/1040ScheduleE__1__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} + diff --git a/metadata/1040__12__metadata.json b/metadata/1040__12__metadata.json index e5e0bd8e..150abea3 100644 --- a/metadata/1040__12__metadata.json +++ b/metadata/1040__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__14__metadata.json b/metadata/4506T__14__metadata.json index fa98c0a9..5cea21b5 100644 --- a/metadata/4506T__14__metadata.json +++ b/metadata/4506T__14__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__14__metadata.json b/metadata/990__14__metadata.json index 942d85ac..5cc28ec0 100644 --- a/metadata/990__14__metadata.json +++ b/metadata/990__14__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__14__metadata.json b/metadata/Acord125__14__metadata.json index 020e9842..3a68e355 100644 --- a/metadata/Acord125__14__metadata.json +++ b/metadata/Acord125__14__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__12__metadata.json b/metadata/Acord126__12__metadata.json index 8be4cc20..1d054d2c 100644 --- a/metadata/Acord126__12__metadata.json +++ b/metadata/Acord126__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__12__metadata.json b/metadata/Acord131__12__metadata.json index 3864258e..fd5ab2c9 100644 --- a/metadata/Acord131__12__metadata.json +++ b/metadata/Acord131__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__12__metadata.json b/metadata/Acord140__12__metadata.json index f8574004..664bdb7b 100644 --- a/metadata/Acord140__12__metadata.json +++ b/metadata/Acord140__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__12__metadata.json b/metadata/Acord25__12__metadata.json index 6e379bf8..6859f615 100644 --- a/metadata/Acord25__12__metadata.json +++ b/metadata/Acord25__12__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__12__metadata.json b/metadata/BankStatements__12__metadata.json index b5567cb0..79dd0ac7 100644 --- a/metadata/BankStatements__12__metadata.json +++ b/metadata/BankStatements__12__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__12__metadata.json b/metadata/BillsOfLading__12__metadata.json index d2b1dc6f..e85e3267 100644 --- a/metadata/BillsOfLading__12__metadata.json +++ b/metadata/BillsOfLading__12__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__5__metadata.json b/metadata/CMS1500__5__metadata.json index 1835542e..1774c9b6 100644 --- a/metadata/CMS1500__5__metadata.json +++ b/metadata/CMS1500__5__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 5, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__5__metadata.json b/metadata/CertificatesOfIncorporation__5__metadata.json index b45cf501..752b6624 100644 --- a/metadata/CertificatesOfIncorporation__5__metadata.json +++ b/metadata/CertificatesOfIncorporation__5__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 5, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__5__metadata.json b/metadata/CertificatesOfOrigin__5__metadata.json index 95082236..3ea0b0b4 100644 --- a/metadata/CertificatesOfOrigin__5__metadata.json +++ b/metadata/CertificatesOfOrigin__5__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 5, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__12__metadata.json b/metadata/Checks__12__metadata.json index e88c48bd..d93b7efc 100644 --- a/metadata/Checks__12__metadata.json +++ b/metadata/Checks__12__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__5__metadata.json b/metadata/ChildrenProductCertificates__5__metadata.json index c8b238e2..9712b24f 100644 --- a/metadata/ChildrenProductCertificates__5__metadata.json +++ b/metadata/ChildrenProductCertificates__5__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 5, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__14__metadata.json b/metadata/DocumentClassifier__14__metadata.json new file mode 100644 index 00000000..0f9b2fea --- /dev/null +++ b/metadata/DocumentClassifier__14__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.2", + "imagePath": "du-ml-document-type-text-classifier:v23.10.2-rc30", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__23__metadata.json b/metadata/DocumentUnderstanding__23__metadata.json index 1b13a73d..66ccc386 100644 --- a/metadata/DocumentUnderstanding__23__metadata.json +++ b/metadata/DocumentUnderstanding__23__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 23, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__5__metadata.json b/metadata/EUDeclarationOfConformity__5__metadata.json index 77d14c65..f714ead7 100644 --- a/metadata/EUDeclarationOfConformity__5__metadata.json +++ b/metadata/EUDeclarationOfConformity__5__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 5, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__14__metadata.json b/metadata/FM1003__14__metadata.json index 4b115302..1adcef85 100644 --- a/metadata/FM1003__14__metadata.json +++ b/metadata/FM1003__14__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__12__metadata.json b/metadata/FinancialStatements__12__metadata.json index 6488941e..09f8f5e4 100644 --- a/metadata/FinancialStatements__12__metadata.json +++ b/metadata/FinancialStatements__12__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__14__metadata.json b/metadata/I9__14__metadata.json index 973dfcfc..7aee71c7 100644 --- a/metadata/I9__14__metadata.json +++ b/metadata/I9__14__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 14, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__16__metadata.json b/metadata/IDCards__16__metadata.json index 08d93eb3..b1af7618 100644 --- a/metadata/IDCards__16__metadata.json +++ b/metadata/IDCards__16__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 16, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__22__metadata.json b/metadata/IndianInvoices__22__metadata.json index c0101df3..07364e5a 100644 --- a/metadata/IndianInvoices__22__metadata.json +++ b/metadata/IndianInvoices__22__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 22, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__15__metadata.json b/metadata/InvoicesChina__15__metadata.json index 1ec9754c..6f9799a5 100644 --- a/metadata/InvoicesChina__15__metadata.json +++ b/metadata/InvoicesChina__15__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 15, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__5__metadata.json b/metadata/InvoicesShipping__5__metadata.json index 704d32d0..90d236e2 100644 --- a/metadata/InvoicesShipping__5__metadata.json +++ b/metadata/InvoicesShipping__5__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 5, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__23__metadata.json b/metadata/Invoices__23__metadata.json index cd2d06d8..409ff18a 100644 --- a/metadata/Invoices__23__metadata.json +++ b/metadata/Invoices__23__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 23, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__20__metadata.json b/metadata/JapaneseInvoices__20__metadata.json index 6fc9ba6f..916366ea 100644 --- a/metadata/JapaneseInvoices__20__metadata.json +++ b/metadata/JapaneseInvoices__20__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 20, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__12__metadata.json b/metadata/PackingLists__12__metadata.json index 42cded69..66e24994 100644 --- a/metadata/PackingLists__12__metadata.json +++ b/metadata/PackingLists__12__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__16__metadata.json b/metadata/Passports__16__metadata.json index fd34920a..0c974c1d 100644 --- a/metadata/Passports__16__metadata.json +++ b/metadata/Passports__16__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 16, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__5__metadata.json b/metadata/Payslips__5__metadata.json index d938102f..edc01809 100644 --- a/metadata/Payslips__5__metadata.json +++ b/metadata/Payslips__5__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 5, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__22__metadata.json b/metadata/PurchaseOrders__22__metadata.json index b6b582c0..bf5530c0 100644 --- a/metadata/PurchaseOrders__22__metadata.json +++ b/metadata/PurchaseOrders__22__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 22, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__23__metadata.json b/metadata/Receipts__23__metadata.json index 8369ccd6..7f599a4d 100644 --- a/metadata/Receipts__23__metadata.json +++ b/metadata/Receipts__23__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 23, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__15__metadata.json b/metadata/RemittanceAdvices__15__metadata.json index 1eee0b64..6c408e71 100644 --- a/metadata/RemittanceAdvices__15__metadata.json +++ b/metadata/RemittanceAdvices__15__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 15, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__1__metadata.json b/metadata/UB04__1__metadata.json new file mode 100644 index 00000000..f297bc92 --- /dev/null +++ b/metadata/UB04__1__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR_CPU__11__metadata.json b/metadata/UiPathDocumentOCR_CPU__11__metadata.json new file mode 100644 index 00000000..b9bef615 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__11__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.10.2", + "imagePath": "du-doc-ocr-cpu:v23.10.2-rc22", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__16__metadata.json b/metadata/UiPathDocumentOCR__16__metadata.json new file mode 100644 index 00000000..2007dff0 --- /dev/null +++ b/metadata/UiPathDocumentOCR__16__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.2", + "imagePath": "du-doc-ocr:v23.10.2-rc22", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__22__metadata.json b/metadata/UtilityBills__22__metadata.json index 0fae2179..1b0239ac 100644 --- a/metadata/UtilityBills__22__metadata.json +++ b/metadata/UtilityBills__22__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 22, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__12__metadata.json b/metadata/VehicleTitles__12__metadata.json index f3efc0d0..983d0de3 100644 --- a/metadata/VehicleTitles__12__metadata.json +++ b/metadata/VehicleTitles__12__metadata.json @@ -19,8 +19,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 12, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__15__metadata.json b/metadata/W2__15__metadata.json index 45050d17..d8cb1eff 100644 --- a/metadata/W2__15__metadata.json +++ b/metadata/W2__15__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 15, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__15__metadata.json b/metadata/W9__15__metadata.json index 103a4c65..873d69d5 100644 --- a/metadata/W9__15__metadata.json +++ b/metadata/W9__15__metadata.json @@ -20,8 +20,8 @@ "minAIFabricVersion": "22.10", "languageVersion": 4, "version": 15, - "customVersion": "23.10.1", - "imagePath": "du-semistructured:v23.10.1-rc27", + "customVersion": "23.10.2", + "imagePath": "du-semistructured:v23.10.2-rc22", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 50d8da714c2f6e38121f134ac19c003a77dcd4e0 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 2 Feb 2024 11:31:12 +0200 Subject: [PATCH 171/267] [DU] [ML] 23.4.5 model patches --- metadata/1040__13__metadata.json | 34 +++++++++++++++++++ metadata/4506T__15__metadata.json | 34 +++++++++++++++++++ metadata/990__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__13__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__13__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__13__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__13__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__21__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__13__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__13__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__6__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__6__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__6__metadata.json | 34 +++++++++++++++++++ metadata/Checks__13__metadata.json | 33 ++++++++++++++++++ ...ldrenProductCertificates__6__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__15__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__24__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__6__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__15__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__13__metadata.json | 33 ++++++++++++++++++ metadata/I9__15__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__17__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__23__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__16__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__6__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__24__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__21__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__13__metadata.json | 33 ++++++++++++++++++ metadata/Passports__17__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__6__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__23__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__24__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__16__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__23__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__13__metadata.json | 33 ++++++++++++++++++ metadata/W2__16__metadata.json | 34 +++++++++++++++++++ metadata/W9__16__metadata.json | 34 +++++++++++++++++++ 38 files changed, 1278 insertions(+) create mode 100644 metadata/1040__13__metadata.json create mode 100644 metadata/4506T__15__metadata.json create mode 100644 metadata/990__15__metadata.json create mode 100644 metadata/Acord125__15__metadata.json create mode 100644 metadata/Acord126__13__metadata.json create mode 100644 metadata/Acord131__13__metadata.json create mode 100644 metadata/Acord140__13__metadata.json create mode 100644 metadata/Acord25__13__metadata.json create mode 100644 metadata/AustralianInvoices__21__metadata.json create mode 100644 metadata/BankStatements__13__metadata.json create mode 100644 metadata/BillsOfLading__13__metadata.json create mode 100644 metadata/CMS1500__6__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__6__metadata.json create mode 100644 metadata/CertificatesOfOrigin__6__metadata.json create mode 100644 metadata/Checks__13__metadata.json create mode 100644 metadata/ChildrenProductCertificates__6__metadata.json create mode 100644 metadata/DocumentClassifier__15__metadata.json create mode 100644 metadata/DocumentUnderstanding__24__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__6__metadata.json create mode 100644 metadata/FM1003__15__metadata.json create mode 100644 metadata/FinancialStatements__13__metadata.json create mode 100644 metadata/I9__15__metadata.json create mode 100644 metadata/IDCards__17__metadata.json create mode 100644 metadata/IndianInvoices__23__metadata.json create mode 100644 metadata/InvoicesChina__16__metadata.json create mode 100644 metadata/InvoicesShipping__6__metadata.json create mode 100644 metadata/Invoices__24__metadata.json create mode 100644 metadata/JapaneseInvoices__21__metadata.json create mode 100644 metadata/PackingLists__13__metadata.json create mode 100644 metadata/Passports__17__metadata.json create mode 100644 metadata/Payslips__6__metadata.json create mode 100644 metadata/PurchaseOrders__23__metadata.json create mode 100644 metadata/Receipts__24__metadata.json create mode 100644 metadata/RemittanceAdvices__16__metadata.json create mode 100644 metadata/UtilityBills__23__metadata.json create mode 100644 metadata/VehicleTitles__13__metadata.json create mode 100644 metadata/W2__16__metadata.json create mode 100644 metadata/W9__16__metadata.json diff --git a/metadata/1040__13__metadata.json b/metadata/1040__13__metadata.json new file mode 100644 index 00000000..deaa2078 --- /dev/null +++ b/metadata/1040__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__15__metadata.json b/metadata/4506T__15__metadata.json new file mode 100644 index 00000000..a5ea0817 --- /dev/null +++ b/metadata/4506T__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__15__metadata.json b/metadata/990__15__metadata.json new file mode 100644 index 00000000..2bb0f994 --- /dev/null +++ b/metadata/990__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__15__metadata.json b/metadata/Acord125__15__metadata.json new file mode 100644 index 00000000..09b53577 --- /dev/null +++ b/metadata/Acord125__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__13__metadata.json b/metadata/Acord126__13__metadata.json new file mode 100644 index 00000000..6cab1774 --- /dev/null +++ b/metadata/Acord126__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__13__metadata.json b/metadata/Acord131__13__metadata.json new file mode 100644 index 00000000..cb878c8c --- /dev/null +++ b/metadata/Acord131__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__13__metadata.json b/metadata/Acord140__13__metadata.json new file mode 100644 index 00000000..8e571718 --- /dev/null +++ b/metadata/Acord140__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__13__metadata.json b/metadata/Acord25__13__metadata.json new file mode 100644 index 00000000..c6c54f38 --- /dev/null +++ b/metadata/Acord25__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__21__metadata.json b/metadata/AustralianInvoices__21__metadata.json new file mode 100644 index 00000000..7dcce824 --- /dev/null +++ b/metadata/AustralianInvoices__21__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__13__metadata.json b/metadata/BankStatements__13__metadata.json new file mode 100644 index 00000000..bb68666a --- /dev/null +++ b/metadata/BankStatements__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__13__metadata.json b/metadata/BillsOfLading__13__metadata.json new file mode 100644 index 00000000..37774a84 --- /dev/null +++ b/metadata/BillsOfLading__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__6__metadata.json b/metadata/CMS1500__6__metadata.json new file mode 100644 index 00000000..d0500e7d --- /dev/null +++ b/metadata/CMS1500__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__6__metadata.json b/metadata/CertificatesOfIncorporation__6__metadata.json new file mode 100644 index 00000000..43299e4d --- /dev/null +++ b/metadata/CertificatesOfIncorporation__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__6__metadata.json b/metadata/CertificatesOfOrigin__6__metadata.json new file mode 100644 index 00000000..3b13a36d --- /dev/null +++ b/metadata/CertificatesOfOrigin__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__13__metadata.json b/metadata/Checks__13__metadata.json new file mode 100644 index 00000000..85a8a882 --- /dev/null +++ b/metadata/Checks__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__6__metadata.json b/metadata/ChildrenProductCertificates__6__metadata.json new file mode 100644 index 00000000..6cbfbbc2 --- /dev/null +++ b/metadata/ChildrenProductCertificates__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentClassifier__15__metadata.json b/metadata/DocumentClassifier__15__metadata.json new file mode 100644 index 00000000..6bbdf131 --- /dev/null +++ b/metadata/DocumentClassifier__15__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.5", + "imagePath": "du-ml-document-type-text-classifier:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__24__metadata.json b/metadata/DocumentUnderstanding__24__metadata.json new file mode 100644 index 00000000..220be273 --- /dev/null +++ b/metadata/DocumentUnderstanding__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__6__metadata.json b/metadata/EUDeclarationOfConformity__6__metadata.json new file mode 100644 index 00000000..73e1483a --- /dev/null +++ b/metadata/EUDeclarationOfConformity__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__15__metadata.json b/metadata/FM1003__15__metadata.json new file mode 100644 index 00000000..9a589819 --- /dev/null +++ b/metadata/FM1003__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__13__metadata.json b/metadata/FinancialStatements__13__metadata.json new file mode 100644 index 00000000..4a5cae32 --- /dev/null +++ b/metadata/FinancialStatements__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__15__metadata.json b/metadata/I9__15__metadata.json new file mode 100644 index 00000000..bf7d358c --- /dev/null +++ b/metadata/I9__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__17__metadata.json b/metadata/IDCards__17__metadata.json new file mode 100644 index 00000000..9befd3b5 --- /dev/null +++ b/metadata/IDCards__17__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__23__metadata.json b/metadata/IndianInvoices__23__metadata.json new file mode 100644 index 00000000..d6ffcf2a --- /dev/null +++ b/metadata/IndianInvoices__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__16__metadata.json b/metadata/InvoicesChina__16__metadata.json new file mode 100644 index 00000000..23133a53 --- /dev/null +++ b/metadata/InvoicesChina__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__6__metadata.json b/metadata/InvoicesShipping__6__metadata.json new file mode 100644 index 00000000..bbcb70f5 --- /dev/null +++ b/metadata/InvoicesShipping__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__24__metadata.json b/metadata/Invoices__24__metadata.json new file mode 100644 index 00000000..d5bf05cf --- /dev/null +++ b/metadata/Invoices__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__21__metadata.json b/metadata/JapaneseInvoices__21__metadata.json new file mode 100644 index 00000000..71569bf3 --- /dev/null +++ b/metadata/JapaneseInvoices__21__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__13__metadata.json b/metadata/PackingLists__13__metadata.json new file mode 100644 index 00000000..b04d3ac1 --- /dev/null +++ b/metadata/PackingLists__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__17__metadata.json b/metadata/Passports__17__metadata.json new file mode 100644 index 00000000..c0b73137 --- /dev/null +++ b/metadata/Passports__17__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__6__metadata.json b/metadata/Payslips__6__metadata.json new file mode 100644 index 00000000..966eeeb4 --- /dev/null +++ b/metadata/Payslips__6__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__23__metadata.json b/metadata/PurchaseOrders__23__metadata.json new file mode 100644 index 00000000..a94c05dc --- /dev/null +++ b/metadata/PurchaseOrders__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__24__metadata.json b/metadata/Receipts__24__metadata.json new file mode 100644 index 00000000..fd2716f6 --- /dev/null +++ b/metadata/Receipts__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__16__metadata.json b/metadata/RemittanceAdvices__16__metadata.json new file mode 100644 index 00000000..ea20318f --- /dev/null +++ b/metadata/RemittanceAdvices__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__23__metadata.json b/metadata/UtilityBills__23__metadata.json new file mode 100644 index 00000000..1035d6a3 --- /dev/null +++ b/metadata/UtilityBills__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__13__metadata.json b/metadata/VehicleTitles__13__metadata.json new file mode 100644 index 00000000..6e3ddece --- /dev/null +++ b/metadata/VehicleTitles__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__16__metadata.json b/metadata/W2__16__metadata.json new file mode 100644 index 00000000..42d51f70 --- /dev/null +++ b/metadata/W2__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__16__metadata.json b/metadata/W9__16__metadata.json new file mode 100644 index 00000000..a17f2c9d --- /dev/null +++ b/metadata/W9__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.5", + "imagePath": "du-semistructured:v23.4.5-rc14", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From a15dd2d1d62154017041511dc926e0162a600626 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 6 Feb 2024 12:26:08 +0200 Subject: [PATCH 172/267] [23.10.2] [ACTV-68493] Bump classifier tag --- metadata/DocumentClassifier__14__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/DocumentClassifier__14__metadata.json b/metadata/DocumentClassifier__14__metadata.json index 0f9b2fea..2c347880 100644 --- a/metadata/DocumentClassifier__14__metadata.json +++ b/metadata/DocumentClassifier__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.2", - "imagePath": "du-ml-document-type-text-classifier:v23.10.2-rc30", + "imagePath": "du-ml-document-type-text-classifier:v23.10.2-rc42", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } From 5c420dcdf6bb029e32c21b21ca71185326d826f0 Mon Sep 17 00:00:00 2001 From: mihairaduvlad <146950610+mihairaduvlad@users.noreply.github.com> Date: Fri, 9 Feb 2024 18:40:59 +0000 Subject: [PATCH 173/267] CV:Add metadata for 23.10,23.4,22.10 (#268) --- metadata/ComputerVision__7__metadata.json | 26 +++++++++++++++++++++++ metadata/ComputerVision__8__metadata.json | 26 +++++++++++++++++++++++ metadata/ComputerVision__9__metadata.json | 26 +++++++++++++++++++++++ 3 files changed, 78 insertions(+) create mode 100644 metadata/ComputerVision__7__metadata.json create mode 100644 metadata/ComputerVision__8__metadata.json create mode 100644 metadata/ComputerVision__9__metadata.json diff --git a/metadata/ComputerVision__7__metadata.json b/metadata/ComputerVision__7__metadata.json new file mode 100644 index 00000000..3729e6e8 --- /dev/null +++ b/metadata/ComputerVision__7__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "Release v2023.04.5", + "cpu": 0, + "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 1, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 3, + "version": 7, + "customVersion": "23.04.5", + "imagePath": "cv2304:23.4.10.5", + "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" +} \ No newline at end of file diff --git a/metadata/ComputerVision__8__metadata.json b/metadata/ComputerVision__8__metadata.json new file mode 100644 index 00000000..68361e6b --- /dev/null +++ b/metadata/ComputerVision__8__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "Release v2023.10.2", + "cpu": 0, + "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 1, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 3, + "version": 8, + "customVersion": "23.10.2", + "imagePath": "cv2310:23.10.5.3", + "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" +} diff --git a/metadata/ComputerVision__9__metadata.json b/metadata/ComputerVision__9__metadata.json new file mode 100644 index 00000000..dca5605b --- /dev/null +++ b/metadata/ComputerVision__9__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "Release v2022.10.10", + "cpu": 0, + "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 1, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 3, + "version": 9, + "customVersion": "22.10.10", + "imagePath": "cv2210:22.10.7.1", + "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" +} \ No newline at end of file From 9ac174863d54293d9f5013cd93ab47f9513194c6 Mon Sep 17 00:00:00 2001 From: mihairaduvlad <146950610+mihairaduvlad@users.noreply.github.com> Date: Mon, 19 Feb 2024 08:01:55 +0000 Subject: [PATCH 174/267] [CV] Change file name for CV 23.4 (#270) --- ...sion__7__metadata.json => ComputerVision__10__metadata.json} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename metadata/{ComputerVision__7__metadata.json => ComputerVision__10__metadata.json} (98%) diff --git a/metadata/ComputerVision__7__metadata.json b/metadata/ComputerVision__10__metadata.json similarity index 98% rename from metadata/ComputerVision__7__metadata.json rename to metadata/ComputerVision__10__metadata.json index 3729e6e8..16988275 100644 --- a/metadata/ComputerVision__7__metadata.json +++ b/metadata/ComputerVision__10__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 7, + "version": 10, "customVersion": "23.04.5", "imagePath": "cv2304:23.4.10.5", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" From cff70f91f6415411f669abd11d5dc3cc9e81cc35 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Wed, 21 Feb 2024 10:41:55 +0200 Subject: [PATCH 175/267] [23.4.5] [ACTV-68727] Training pipeline failure --- metadata/1040__13__metadata.json | 2 +- metadata/4506T__15__metadata.json | 2 +- metadata/990__15__metadata.json | 2 +- metadata/Acord125__15__metadata.json | 2 +- metadata/Acord126__13__metadata.json | 2 +- metadata/Acord131__13__metadata.json | 2 +- metadata/Acord140__13__metadata.json | 2 +- metadata/Acord25__13__metadata.json | 2 +- metadata/AustralianInvoices__21__metadata.json | 2 +- metadata/BankStatements__13__metadata.json | 2 +- metadata/BillsOfLading__13__metadata.json | 2 +- metadata/CMS1500__6__metadata.json | 2 +- metadata/CertificatesOfIncorporation__6__metadata.json | 2 +- metadata/CertificatesOfOrigin__6__metadata.json | 2 +- metadata/Checks__13__metadata.json | 2 +- metadata/ChildrenProductCertificates__6__metadata.json | 2 +- metadata/DocumentClassifier__15__metadata.json | 2 +- metadata/DocumentUnderstanding__24__metadata.json | 2 +- metadata/EUDeclarationOfConformity__6__metadata.json | 2 +- metadata/FM1003__15__metadata.json | 2 +- metadata/FinancialStatements__13__metadata.json | 2 +- metadata/I9__15__metadata.json | 2 +- metadata/IDCards__17__metadata.json | 2 +- metadata/IndianInvoices__23__metadata.json | 2 +- metadata/InvoicesChina__16__metadata.json | 2 +- metadata/InvoicesShipping__6__metadata.json | 2 +- metadata/Invoices__24__metadata.json | 2 +- metadata/JapaneseInvoices__21__metadata.json | 2 +- metadata/PackingLists__13__metadata.json | 2 +- metadata/Passports__17__metadata.json | 2 +- metadata/Payslips__6__metadata.json | 2 +- metadata/PurchaseOrders__23__metadata.json | 2 +- metadata/Receipts__24__metadata.json | 2 +- metadata/RemittanceAdvices__16__metadata.json | 2 +- metadata/UtilityBills__23__metadata.json | 2 +- metadata/VehicleTitles__13__metadata.json | 2 +- metadata/W2__16__metadata.json | 2 +- metadata/W9__16__metadata.json | 2 +- 38 files changed, 38 insertions(+), 38 deletions(-) diff --git a/metadata/1040__13__metadata.json b/metadata/1040__13__metadata.json index deaa2078..3396ede2 100644 --- a/metadata/1040__13__metadata.json +++ b/metadata/1040__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__15__metadata.json b/metadata/4506T__15__metadata.json index a5ea0817..5c7626d1 100644 --- a/metadata/4506T__15__metadata.json +++ b/metadata/4506T__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__15__metadata.json b/metadata/990__15__metadata.json index 2bb0f994..bdb2fe50 100644 --- a/metadata/990__15__metadata.json +++ b/metadata/990__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__15__metadata.json b/metadata/Acord125__15__metadata.json index 09b53577..ae648474 100644 --- a/metadata/Acord125__15__metadata.json +++ b/metadata/Acord125__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__13__metadata.json b/metadata/Acord126__13__metadata.json index 6cab1774..580e5b24 100644 --- a/metadata/Acord126__13__metadata.json +++ b/metadata/Acord126__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__13__metadata.json b/metadata/Acord131__13__metadata.json index cb878c8c..493288a6 100644 --- a/metadata/Acord131__13__metadata.json +++ b/metadata/Acord131__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__13__metadata.json b/metadata/Acord140__13__metadata.json index 8e571718..265eee63 100644 --- a/metadata/Acord140__13__metadata.json +++ b/metadata/Acord140__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__13__metadata.json b/metadata/Acord25__13__metadata.json index c6c54f38..f10da2ee 100644 --- a/metadata/Acord25__13__metadata.json +++ b/metadata/Acord25__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__21__metadata.json b/metadata/AustralianInvoices__21__metadata.json index 7dcce824..188a1eb4 100644 --- a/metadata/AustralianInvoices__21__metadata.json +++ b/metadata/AustralianInvoices__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__13__metadata.json b/metadata/BankStatements__13__metadata.json index bb68666a..8b8bb2de 100644 --- a/metadata/BankStatements__13__metadata.json +++ b/metadata/BankStatements__13__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__13__metadata.json b/metadata/BillsOfLading__13__metadata.json index 37774a84..9a199f12 100644 --- a/metadata/BillsOfLading__13__metadata.json +++ b/metadata/BillsOfLading__13__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__6__metadata.json b/metadata/CMS1500__6__metadata.json index d0500e7d..43c13055 100644 --- a/metadata/CMS1500__6__metadata.json +++ b/metadata/CMS1500__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__6__metadata.json b/metadata/CertificatesOfIncorporation__6__metadata.json index 43299e4d..6e9224b8 100644 --- a/metadata/CertificatesOfIncorporation__6__metadata.json +++ b/metadata/CertificatesOfIncorporation__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__6__metadata.json b/metadata/CertificatesOfOrigin__6__metadata.json index 3b13a36d..c48598d7 100644 --- a/metadata/CertificatesOfOrigin__6__metadata.json +++ b/metadata/CertificatesOfOrigin__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__13__metadata.json b/metadata/Checks__13__metadata.json index 85a8a882..80b509f6 100644 --- a/metadata/Checks__13__metadata.json +++ b/metadata/Checks__13__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__6__metadata.json b/metadata/ChildrenProductCertificates__6__metadata.json index 6cbfbbc2..0d7288b8 100644 --- a/metadata/ChildrenProductCertificates__6__metadata.json +++ b/metadata/ChildrenProductCertificates__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__15__metadata.json b/metadata/DocumentClassifier__15__metadata.json index 6bbdf131..3e1a1209 100644 --- a/metadata/DocumentClassifier__15__metadata.json +++ b/metadata/DocumentClassifier__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.5", - "imagePath": "du-ml-document-type-text-classifier:v23.4.5-rc14", + "imagePath": "du-ml-document-type-text-classifier:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__24__metadata.json b/metadata/DocumentUnderstanding__24__metadata.json index 220be273..d6248f44 100644 --- a/metadata/DocumentUnderstanding__24__metadata.json +++ b/metadata/DocumentUnderstanding__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__6__metadata.json b/metadata/EUDeclarationOfConformity__6__metadata.json index 73e1483a..6360afae 100644 --- a/metadata/EUDeclarationOfConformity__6__metadata.json +++ b/metadata/EUDeclarationOfConformity__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__15__metadata.json b/metadata/FM1003__15__metadata.json index 9a589819..8a91cd48 100644 --- a/metadata/FM1003__15__metadata.json +++ b/metadata/FM1003__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__13__metadata.json b/metadata/FinancialStatements__13__metadata.json index 4a5cae32..69ca6ae6 100644 --- a/metadata/FinancialStatements__13__metadata.json +++ b/metadata/FinancialStatements__13__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__15__metadata.json b/metadata/I9__15__metadata.json index bf7d358c..83b931cd 100644 --- a/metadata/I9__15__metadata.json +++ b/metadata/I9__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__17__metadata.json b/metadata/IDCards__17__metadata.json index 9befd3b5..326bd4e7 100644 --- a/metadata/IDCards__17__metadata.json +++ b/metadata/IDCards__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__23__metadata.json b/metadata/IndianInvoices__23__metadata.json index d6ffcf2a..2fb01ba2 100644 --- a/metadata/IndianInvoices__23__metadata.json +++ b/metadata/IndianInvoices__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__16__metadata.json b/metadata/InvoicesChina__16__metadata.json index 23133a53..b89a7cce 100644 --- a/metadata/InvoicesChina__16__metadata.json +++ b/metadata/InvoicesChina__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__6__metadata.json b/metadata/InvoicesShipping__6__metadata.json index bbcb70f5..e67b3f16 100644 --- a/metadata/InvoicesShipping__6__metadata.json +++ b/metadata/InvoicesShipping__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__24__metadata.json b/metadata/Invoices__24__metadata.json index d5bf05cf..61815083 100644 --- a/metadata/Invoices__24__metadata.json +++ b/metadata/Invoices__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__21__metadata.json b/metadata/JapaneseInvoices__21__metadata.json index 71569bf3..74910728 100644 --- a/metadata/JapaneseInvoices__21__metadata.json +++ b/metadata/JapaneseInvoices__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__13__metadata.json b/metadata/PackingLists__13__metadata.json index b04d3ac1..39a2654f 100644 --- a/metadata/PackingLists__13__metadata.json +++ b/metadata/PackingLists__13__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__17__metadata.json b/metadata/Passports__17__metadata.json index c0b73137..4f361511 100644 --- a/metadata/Passports__17__metadata.json +++ b/metadata/Passports__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__6__metadata.json b/metadata/Payslips__6__metadata.json index 966eeeb4..ed2fe8cd 100644 --- a/metadata/Payslips__6__metadata.json +++ b/metadata/Payslips__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__23__metadata.json b/metadata/PurchaseOrders__23__metadata.json index a94c05dc..d40d6a43 100644 --- a/metadata/PurchaseOrders__23__metadata.json +++ b/metadata/PurchaseOrders__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__24__metadata.json b/metadata/Receipts__24__metadata.json index fd2716f6..6af01d40 100644 --- a/metadata/Receipts__24__metadata.json +++ b/metadata/Receipts__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__16__metadata.json b/metadata/RemittanceAdvices__16__metadata.json index ea20318f..755bd921 100644 --- a/metadata/RemittanceAdvices__16__metadata.json +++ b/metadata/RemittanceAdvices__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__23__metadata.json b/metadata/UtilityBills__23__metadata.json index 1035d6a3..e4498956 100644 --- a/metadata/UtilityBills__23__metadata.json +++ b/metadata/UtilityBills__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__13__metadata.json b/metadata/VehicleTitles__13__metadata.json index 6e3ddece..0f4c118d 100644 --- a/metadata/VehicleTitles__13__metadata.json +++ b/metadata/VehicleTitles__13__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__16__metadata.json b/metadata/W2__16__metadata.json index 42d51f70..83a1fc2e 100644 --- a/metadata/W2__16__metadata.json +++ b/metadata/W2__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__16__metadata.json b/metadata/W9__16__metadata.json index a17f2c9d..a3d30067 100644 --- a/metadata/W9__16__metadata.json +++ b/metadata/W9__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc14", + "imagePath": "du-semistructured:v23.4.5-rc72", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From d371aad22101ea349965ade4bfcee70bafae46f9 Mon Sep 17 00:00:00 2001 From: mihairaduvlad <146950610+mihairaduvlad@users.noreply.github.com> Date: Fri, 1 Mar 2024 10:34:04 +0000 Subject: [PATCH 176/267] Change 22.10 version name (#275) --- ...9__metadata.json => ComputerVision__22100701__metadata.json} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename metadata/{ComputerVision__9__metadata.json => ComputerVision__22100701__metadata.json} (98%) diff --git a/metadata/ComputerVision__9__metadata.json b/metadata/ComputerVision__22100701__metadata.json similarity index 98% rename from metadata/ComputerVision__9__metadata.json rename to metadata/ComputerVision__22100701__metadata.json index dca5605b..12d122b0 100644 --- a/metadata/ComputerVision__9__metadata.json +++ b/metadata/ComputerVision__22100701__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 9, + "version": 22100701, "customVersion": "22.10.10", "imagePath": "cv2210:22.10.7.1", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" From dede2abffde66c17f4dd0076ad560848a813195b Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 29 Mar 2024 14:27:53 +0200 Subject: [PATCH 177/267] [DU] [ML] Release 23.10.3 --- metadata/1040ScheduleC__2__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleD__2__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleE__2__metadata.json | 34 +++++++++++++++++++ metadata/1040__14__metadata.json | 34 +++++++++++++++++++ metadata/4506T__16__metadata.json | 34 +++++++++++++++++++ metadata/990__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__14__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__14__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__14__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__7__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__7__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__7__metadata.json | 34 +++++++++++++++++++ metadata/Checks__14__metadata.json | 33 ++++++++++++++++++ ...ldrenProductCertificates__7__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__16__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__25__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__7__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__16__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__14__metadata.json | 33 ++++++++++++++++++ metadata/I9__16__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__18__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__24__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__17__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__7__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__25__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__22__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__14__metadata.json | 33 ++++++++++++++++++ metadata/Passports__18__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__7__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__24__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__25__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__17__metadata.json | 34 +++++++++++++++++++ metadata/UB04__2__metadata.json | 34 +++++++++++++++++++ metadata/UiPathDocumentOCR__17__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__24__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__14__metadata.json | 33 ++++++++++++++++++ metadata/W2__17__metadata.json | 34 +++++++++++++++++++ metadata/W9__17__metadata.json | 34 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 8 ++--- 43 files changed, 1411 insertions(+), 4 deletions(-) create mode 100644 metadata/1040ScheduleC__2__metadata.json create mode 100644 metadata/1040ScheduleD__2__metadata.json create mode 100644 metadata/1040ScheduleE__2__metadata.json create mode 100644 metadata/1040__14__metadata.json create mode 100644 metadata/4506T__16__metadata.json create mode 100644 metadata/990__16__metadata.json create mode 100644 metadata/Acord125__16__metadata.json create mode 100644 metadata/Acord126__14__metadata.json create mode 100644 metadata/Acord131__14__metadata.json create mode 100644 metadata/Acord140__14__metadata.json create mode 100644 metadata/Acord25__14__metadata.json create mode 100644 metadata/BankStatements__14__metadata.json create mode 100644 metadata/BillsOfLading__14__metadata.json create mode 100644 metadata/CMS1500__7__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__7__metadata.json create mode 100644 metadata/CertificatesOfOrigin__7__metadata.json create mode 100644 metadata/Checks__14__metadata.json create mode 100644 metadata/ChildrenProductCertificates__7__metadata.json create mode 100644 metadata/DocumentClassifier__16__metadata.json create mode 100644 metadata/DocumentUnderstanding__25__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__7__metadata.json create mode 100644 metadata/FM1003__16__metadata.json create mode 100644 metadata/FinancialStatements__14__metadata.json create mode 100644 metadata/I9__16__metadata.json create mode 100644 metadata/IDCards__18__metadata.json create mode 100644 metadata/IndianInvoices__24__metadata.json create mode 100644 metadata/InvoicesChina__17__metadata.json create mode 100644 metadata/InvoicesShipping__7__metadata.json create mode 100644 metadata/Invoices__25__metadata.json create mode 100644 metadata/JapaneseInvoices__22__metadata.json create mode 100644 metadata/PackingLists__14__metadata.json create mode 100644 metadata/Passports__18__metadata.json create mode 100644 metadata/Payslips__7__metadata.json create mode 100644 metadata/PurchaseOrders__24__metadata.json create mode 100644 metadata/Receipts__25__metadata.json create mode 100644 metadata/RemittanceAdvices__17__metadata.json create mode 100644 metadata/UB04__2__metadata.json create mode 100644 metadata/UiPathDocumentOCR__17__metadata.json create mode 100644 metadata/UtilityBills__24__metadata.json create mode 100644 metadata/VehicleTitles__14__metadata.json create mode 100644 metadata/W2__17__metadata.json create mode 100644 metadata/W9__17__metadata.json diff --git a/metadata/1040ScheduleC__2__metadata.json b/metadata/1040ScheduleC__2__metadata.json new file mode 100644 index 00000000..dba3596a --- /dev/null +++ b/metadata/1040ScheduleC__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} + diff --git a/metadata/1040ScheduleD__2__metadata.json b/metadata/1040ScheduleD__2__metadata.json new file mode 100644 index 00000000..30756685 --- /dev/null +++ b/metadata/1040ScheduleD__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} + diff --git a/metadata/1040ScheduleE__2__metadata.json b/metadata/1040ScheduleE__2__metadata.json new file mode 100644 index 00000000..d96d32d6 --- /dev/null +++ b/metadata/1040ScheduleE__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} + diff --git a/metadata/1040__14__metadata.json b/metadata/1040__14__metadata.json new file mode 100644 index 00000000..f2fdb6d2 --- /dev/null +++ b/metadata/1040__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__16__metadata.json b/metadata/4506T__16__metadata.json new file mode 100644 index 00000000..9415b140 --- /dev/null +++ b/metadata/4506T__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__16__metadata.json b/metadata/990__16__metadata.json new file mode 100644 index 00000000..64ea0577 --- /dev/null +++ b/metadata/990__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__16__metadata.json b/metadata/Acord125__16__metadata.json new file mode 100644 index 00000000..3c063d33 --- /dev/null +++ b/metadata/Acord125__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__14__metadata.json b/metadata/Acord126__14__metadata.json new file mode 100644 index 00000000..7c9e5f65 --- /dev/null +++ b/metadata/Acord126__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__14__metadata.json b/metadata/Acord131__14__metadata.json new file mode 100644 index 00000000..e771da53 --- /dev/null +++ b/metadata/Acord131__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__14__metadata.json b/metadata/Acord140__14__metadata.json new file mode 100644 index 00000000..3adfd0ac --- /dev/null +++ b/metadata/Acord140__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__14__metadata.json b/metadata/Acord25__14__metadata.json new file mode 100644 index 00000000..c5f74c53 --- /dev/null +++ b/metadata/Acord25__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/BankStatements__14__metadata.json b/metadata/BankStatements__14__metadata.json new file mode 100644 index 00000000..80205402 --- /dev/null +++ b/metadata/BankStatements__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__14__metadata.json b/metadata/BillsOfLading__14__metadata.json new file mode 100644 index 00000000..ca97aab5 --- /dev/null +++ b/metadata/BillsOfLading__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__7__metadata.json b/metadata/CMS1500__7__metadata.json new file mode 100644 index 00000000..b97c681e --- /dev/null +++ b/metadata/CMS1500__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__7__metadata.json b/metadata/CertificatesOfIncorporation__7__metadata.json new file mode 100644 index 00000000..cd161391 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__7__metadata.json b/metadata/CertificatesOfOrigin__7__metadata.json new file mode 100644 index 00000000..76599dca --- /dev/null +++ b/metadata/CertificatesOfOrigin__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__14__metadata.json b/metadata/Checks__14__metadata.json new file mode 100644 index 00000000..2c80fd6d --- /dev/null +++ b/metadata/Checks__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__7__metadata.json b/metadata/ChildrenProductCertificates__7__metadata.json new file mode 100644 index 00000000..edf2ebc6 --- /dev/null +++ b/metadata/ChildrenProductCertificates__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentClassifier__16__metadata.json b/metadata/DocumentClassifier__16__metadata.json new file mode 100644 index 00000000..43bcdc6c --- /dev/null +++ b/metadata/DocumentClassifier__16__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-ml-document-type-text-classifier:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__25__metadata.json b/metadata/DocumentUnderstanding__25__metadata.json new file mode 100644 index 00000000..6087fa55 --- /dev/null +++ b/metadata/DocumentUnderstanding__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__7__metadata.json b/metadata/EUDeclarationOfConformity__7__metadata.json new file mode 100644 index 00000000..6b23378a --- /dev/null +++ b/metadata/EUDeclarationOfConformity__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__16__metadata.json b/metadata/FM1003__16__metadata.json new file mode 100644 index 00000000..1d16c936 --- /dev/null +++ b/metadata/FM1003__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__14__metadata.json b/metadata/FinancialStatements__14__metadata.json new file mode 100644 index 00000000..3b4582b3 --- /dev/null +++ b/metadata/FinancialStatements__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__16__metadata.json b/metadata/I9__16__metadata.json new file mode 100644 index 00000000..a33f2183 --- /dev/null +++ b/metadata/I9__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__18__metadata.json b/metadata/IDCards__18__metadata.json new file mode 100644 index 00000000..1dd74662 --- /dev/null +++ b/metadata/IDCards__18__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__24__metadata.json b/metadata/IndianInvoices__24__metadata.json new file mode 100644 index 00000000..d8ba2444 --- /dev/null +++ b/metadata/IndianInvoices__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__17__metadata.json b/metadata/InvoicesChina__17__metadata.json new file mode 100644 index 00000000..70db49f4 --- /dev/null +++ b/metadata/InvoicesChina__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__7__metadata.json b/metadata/InvoicesShipping__7__metadata.json new file mode 100644 index 00000000..946e0069 --- /dev/null +++ b/metadata/InvoicesShipping__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__25__metadata.json b/metadata/Invoices__25__metadata.json new file mode 100644 index 00000000..2db10c65 --- /dev/null +++ b/metadata/Invoices__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__22__metadata.json b/metadata/JapaneseInvoices__22__metadata.json new file mode 100644 index 00000000..4eb7d141 --- /dev/null +++ b/metadata/JapaneseInvoices__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__14__metadata.json b/metadata/PackingLists__14__metadata.json new file mode 100644 index 00000000..1d5ac824 --- /dev/null +++ b/metadata/PackingLists__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__18__metadata.json b/metadata/Passports__18__metadata.json new file mode 100644 index 00000000..e9eb944f --- /dev/null +++ b/metadata/Passports__18__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__7__metadata.json b/metadata/Payslips__7__metadata.json new file mode 100644 index 00000000..4aec0259 --- /dev/null +++ b/metadata/Payslips__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__24__metadata.json b/metadata/PurchaseOrders__24__metadata.json new file mode 100644 index 00000000..681c73ae --- /dev/null +++ b/metadata/PurchaseOrders__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__25__metadata.json b/metadata/Receipts__25__metadata.json new file mode 100644 index 00000000..cdbc2331 --- /dev/null +++ b/metadata/Receipts__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__17__metadata.json b/metadata/RemittanceAdvices__17__metadata.json new file mode 100644 index 00000000..10d53ad0 --- /dev/null +++ b/metadata/RemittanceAdvices__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UB04__2__metadata.json b/metadata/UB04__2__metadata.json new file mode 100644 index 00000000..606d056b --- /dev/null +++ b/metadata/UB04__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR__17__metadata.json b/metadata/UiPathDocumentOCR__17__metadata.json new file mode 100644 index 00000000..f51e24d8 --- /dev/null +++ b/metadata/UiPathDocumentOCR__17__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-doc-ocr:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__24__metadata.json b/metadata/UtilityBills__24__metadata.json new file mode 100644 index 00000000..bcf8e68c --- /dev/null +++ b/metadata/UtilityBills__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__14__metadata.json b/metadata/VehicleTitles__14__metadata.json new file mode 100644 index 00000000..27608d26 --- /dev/null +++ b/metadata/VehicleTitles__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__17__metadata.json b/metadata/W2__17__metadata.json new file mode 100644 index 00000000..e31bf37b --- /dev/null +++ b/metadata/W2__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__17__metadata.json b/metadata/W9__17__metadata.json new file mode 100644 index 00000000..31286557 --- /dev/null +++ b/metadata/W9__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 8ef17973..399f1dfd 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -3,13 +3,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$oldCustomVersion = '23.10.0' +$oldCustomVersion = '23.10.2' # Set the new custom version number -$newCustomVersion = '23.10.1' +$newCustomVersion = '23.10.3' # Set the text to be replaced and the replacement text -$oldText = 'du-semistructured:v23.10.0-rc68' -$newText = 'du-semistructured:v23.10.1-rc27' +$oldText = 'du-semistructured:v23.10.2-rc22' +$newText = 'du-semistructured:v23.10.3-rc04' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 2102e483b0b0f273c0cff9c39a0d1850bf9709ae Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 29 Mar 2024 14:33:40 +0200 Subject: [PATCH 178/267] [DU] [ML] Release 23.4.6 --- metadata/1040__15__metadata.json | 34 +++++++++++++++++++ metadata/4506T__17__metadata.json | 34 +++++++++++++++++++ metadata/990__17__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__17__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__15__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__22__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__15__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__15__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__8__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__8__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__8__metadata.json | 34 +++++++++++++++++++ metadata/Checks__15__metadata.json | 33 ++++++++++++++++++ ...ldrenProductCertificates__8__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__17__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__26__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__8__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__17__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__15__metadata.json | 33 ++++++++++++++++++ metadata/I9__17__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__19__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__25__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__18__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__8__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__26__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__23__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__15__metadata.json | 33 ++++++++++++++++++ metadata/Passports__19__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__8__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__25__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__26__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__18__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__25__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__15__metadata.json | 33 ++++++++++++++++++ metadata/W2__18__metadata.json | 34 +++++++++++++++++++ metadata/W9__18__metadata.json | 34 +++++++++++++++++++ 38 files changed, 1278 insertions(+) create mode 100644 metadata/1040__15__metadata.json create mode 100644 metadata/4506T__17__metadata.json create mode 100644 metadata/990__17__metadata.json create mode 100644 metadata/Acord125__17__metadata.json create mode 100644 metadata/Acord126__15__metadata.json create mode 100644 metadata/Acord131__15__metadata.json create mode 100644 metadata/Acord140__15__metadata.json create mode 100644 metadata/Acord25__15__metadata.json create mode 100644 metadata/AustralianInvoices__22__metadata.json create mode 100644 metadata/BankStatements__15__metadata.json create mode 100644 metadata/BillsOfLading__15__metadata.json create mode 100644 metadata/CMS1500__8__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__8__metadata.json create mode 100644 metadata/CertificatesOfOrigin__8__metadata.json create mode 100644 metadata/Checks__15__metadata.json create mode 100644 metadata/ChildrenProductCertificates__8__metadata.json create mode 100644 metadata/DocumentClassifier__17__metadata.json create mode 100644 metadata/DocumentUnderstanding__26__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__8__metadata.json create mode 100644 metadata/FM1003__17__metadata.json create mode 100644 metadata/FinancialStatements__15__metadata.json create mode 100644 metadata/I9__17__metadata.json create mode 100644 metadata/IDCards__19__metadata.json create mode 100644 metadata/IndianInvoices__25__metadata.json create mode 100644 metadata/InvoicesChina__18__metadata.json create mode 100644 metadata/InvoicesShipping__8__metadata.json create mode 100644 metadata/Invoices__26__metadata.json create mode 100644 metadata/JapaneseInvoices__23__metadata.json create mode 100644 metadata/PackingLists__15__metadata.json create mode 100644 metadata/Passports__19__metadata.json create mode 100644 metadata/Payslips__8__metadata.json create mode 100644 metadata/PurchaseOrders__25__metadata.json create mode 100644 metadata/Receipts__26__metadata.json create mode 100644 metadata/RemittanceAdvices__18__metadata.json create mode 100644 metadata/UtilityBills__25__metadata.json create mode 100644 metadata/VehicleTitles__15__metadata.json create mode 100644 metadata/W2__18__metadata.json create mode 100644 metadata/W9__18__metadata.json diff --git a/metadata/1040__15__metadata.json b/metadata/1040__15__metadata.json new file mode 100644 index 00000000..88d0c70b --- /dev/null +++ b/metadata/1040__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__17__metadata.json b/metadata/4506T__17__metadata.json new file mode 100644 index 00000000..870c77e4 --- /dev/null +++ b/metadata/4506T__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__17__metadata.json b/metadata/990__17__metadata.json new file mode 100644 index 00000000..7bd29cd8 --- /dev/null +++ b/metadata/990__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__17__metadata.json b/metadata/Acord125__17__metadata.json new file mode 100644 index 00000000..2d933074 --- /dev/null +++ b/metadata/Acord125__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__15__metadata.json b/metadata/Acord126__15__metadata.json new file mode 100644 index 00000000..ba522a37 --- /dev/null +++ b/metadata/Acord126__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__15__metadata.json b/metadata/Acord131__15__metadata.json new file mode 100644 index 00000000..0ad9f91d --- /dev/null +++ b/metadata/Acord131__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__15__metadata.json b/metadata/Acord140__15__metadata.json new file mode 100644 index 00000000..6163ba1e --- /dev/null +++ b/metadata/Acord140__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__15__metadata.json b/metadata/Acord25__15__metadata.json new file mode 100644 index 00000000..09af8de2 --- /dev/null +++ b/metadata/Acord25__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__22__metadata.json b/metadata/AustralianInvoices__22__metadata.json new file mode 100644 index 00000000..d3fc50a0 --- /dev/null +++ b/metadata/AustralianInvoices__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__15__metadata.json b/metadata/BankStatements__15__metadata.json new file mode 100644 index 00000000..b3f39e94 --- /dev/null +++ b/metadata/BankStatements__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__15__metadata.json b/metadata/BillsOfLading__15__metadata.json new file mode 100644 index 00000000..3a23feff --- /dev/null +++ b/metadata/BillsOfLading__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__8__metadata.json b/metadata/CMS1500__8__metadata.json new file mode 100644 index 00000000..e682614c --- /dev/null +++ b/metadata/CMS1500__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__8__metadata.json b/metadata/CertificatesOfIncorporation__8__metadata.json new file mode 100644 index 00000000..e639d5ae --- /dev/null +++ b/metadata/CertificatesOfIncorporation__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__8__metadata.json b/metadata/CertificatesOfOrigin__8__metadata.json new file mode 100644 index 00000000..705633e1 --- /dev/null +++ b/metadata/CertificatesOfOrigin__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__15__metadata.json b/metadata/Checks__15__metadata.json new file mode 100644 index 00000000..cdf3ea99 --- /dev/null +++ b/metadata/Checks__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__8__metadata.json b/metadata/ChildrenProductCertificates__8__metadata.json new file mode 100644 index 00000000..9f025cc3 --- /dev/null +++ b/metadata/ChildrenProductCertificates__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentClassifier__17__metadata.json b/metadata/DocumentClassifier__17__metadata.json new file mode 100644 index 00000000..9a171ec8 --- /dev/null +++ b/metadata/DocumentClassifier__17__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-ml-document-type-text-classifier:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__26__metadata.json b/metadata/DocumentUnderstanding__26__metadata.json new file mode 100644 index 00000000..c301e356 --- /dev/null +++ b/metadata/DocumentUnderstanding__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__8__metadata.json b/metadata/EUDeclarationOfConformity__8__metadata.json new file mode 100644 index 00000000..6aa4ca4f --- /dev/null +++ b/metadata/EUDeclarationOfConformity__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__17__metadata.json b/metadata/FM1003__17__metadata.json new file mode 100644 index 00000000..d0adec1c --- /dev/null +++ b/metadata/FM1003__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__15__metadata.json b/metadata/FinancialStatements__15__metadata.json new file mode 100644 index 00000000..3d067430 --- /dev/null +++ b/metadata/FinancialStatements__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__17__metadata.json b/metadata/I9__17__metadata.json new file mode 100644 index 00000000..7d5147d6 --- /dev/null +++ b/metadata/I9__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__19__metadata.json b/metadata/IDCards__19__metadata.json new file mode 100644 index 00000000..81d08492 --- /dev/null +++ b/metadata/IDCards__19__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__25__metadata.json b/metadata/IndianInvoices__25__metadata.json new file mode 100644 index 00000000..1d2fd7bf --- /dev/null +++ b/metadata/IndianInvoices__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__18__metadata.json b/metadata/InvoicesChina__18__metadata.json new file mode 100644 index 00000000..5665eef3 --- /dev/null +++ b/metadata/InvoicesChina__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__8__metadata.json b/metadata/InvoicesShipping__8__metadata.json new file mode 100644 index 00000000..0f08580f --- /dev/null +++ b/metadata/InvoicesShipping__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__26__metadata.json b/metadata/Invoices__26__metadata.json new file mode 100644 index 00000000..914ea0e5 --- /dev/null +++ b/metadata/Invoices__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__23__metadata.json b/metadata/JapaneseInvoices__23__metadata.json new file mode 100644 index 00000000..2a7b0ace --- /dev/null +++ b/metadata/JapaneseInvoices__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__15__metadata.json b/metadata/PackingLists__15__metadata.json new file mode 100644 index 00000000..3a15925c --- /dev/null +++ b/metadata/PackingLists__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__19__metadata.json b/metadata/Passports__19__metadata.json new file mode 100644 index 00000000..8bf4aa8b --- /dev/null +++ b/metadata/Passports__19__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__8__metadata.json b/metadata/Payslips__8__metadata.json new file mode 100644 index 00000000..89ee59dc --- /dev/null +++ b/metadata/Payslips__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__25__metadata.json b/metadata/PurchaseOrders__25__metadata.json new file mode 100644 index 00000000..a5cefd65 --- /dev/null +++ b/metadata/PurchaseOrders__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__26__metadata.json b/metadata/Receipts__26__metadata.json new file mode 100644 index 00000000..666bd3bc --- /dev/null +++ b/metadata/Receipts__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__18__metadata.json b/metadata/RemittanceAdvices__18__metadata.json new file mode 100644 index 00000000..ec73ef8c --- /dev/null +++ b/metadata/RemittanceAdvices__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__25__metadata.json b/metadata/UtilityBills__25__metadata.json new file mode 100644 index 00000000..2d04dba5 --- /dev/null +++ b/metadata/UtilityBills__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__15__metadata.json b/metadata/VehicleTitles__15__metadata.json new file mode 100644 index 00000000..1c4fe622 --- /dev/null +++ b/metadata/VehicleTitles__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__18__metadata.json b/metadata/W2__18__metadata.json new file mode 100644 index 00000000..42e9e60a --- /dev/null +++ b/metadata/W2__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__18__metadata.json b/metadata/W9__18__metadata.json new file mode 100644 index 00000000..d957858c --- /dev/null +++ b/metadata/W9__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From 8cad944fb4f191f645cb6088fafe2a1ecaf97770 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 29 Mar 2024 14:42:41 +0200 Subject: [PATCH 179/267] [DU] [ML] Release 22.10.11 --- metadata/1040__16__metadata.json | 34 +++++++++++++++++++ metadata/4506T__18__metadata.json | 34 +++++++++++++++++++ metadata/990__18__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__18__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__16__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__23__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__16__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__16__metadata.json | 33 ++++++++++++++++++ metadata/Checks__16__metadata.json | 33 ++++++++++++++++++ .../DocumentClassifier__18__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__27__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__18__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__16__metadata.json | 33 ++++++++++++++++++ metadata/I9__18__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__20__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__26__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__19__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__27__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__24__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__16__metadata.json | 33 ++++++++++++++++++ metadata/Passports__20__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__26__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__27__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__19__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__12__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__18__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__26__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__16__metadata.json | 33 ++++++++++++++++++ metadata/W2__19__metadata.json | 34 +++++++++++++++++++ metadata/W9__19__metadata.json | 34 +++++++++++++++++++ 33 files changed, 1094 insertions(+) create mode 100644 metadata/1040__16__metadata.json create mode 100644 metadata/4506T__18__metadata.json create mode 100644 metadata/990__18__metadata.json create mode 100644 metadata/Acord125__18__metadata.json create mode 100644 metadata/Acord126__16__metadata.json create mode 100644 metadata/Acord131__16__metadata.json create mode 100644 metadata/Acord140__16__metadata.json create mode 100644 metadata/Acord25__16__metadata.json create mode 100644 metadata/AustralianInvoices__23__metadata.json create mode 100644 metadata/BankStatements__16__metadata.json create mode 100644 metadata/BillsOfLading__16__metadata.json create mode 100644 metadata/Checks__16__metadata.json create mode 100644 metadata/DocumentClassifier__18__metadata.json create mode 100644 metadata/DocumentUnderstanding__27__metadata.json create mode 100644 metadata/FM1003__18__metadata.json create mode 100644 metadata/FinancialStatements__16__metadata.json create mode 100644 metadata/I9__18__metadata.json create mode 100644 metadata/IDCards__20__metadata.json create mode 100644 metadata/IndianInvoices__26__metadata.json create mode 100644 metadata/InvoicesChina__19__metadata.json create mode 100644 metadata/Invoices__27__metadata.json create mode 100644 metadata/JapaneseInvoices__24__metadata.json create mode 100644 metadata/PackingLists__16__metadata.json create mode 100644 metadata/Passports__20__metadata.json create mode 100644 metadata/PurchaseOrders__26__metadata.json create mode 100644 metadata/Receipts__27__metadata.json create mode 100644 metadata/RemittanceAdvices__19__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__12__metadata.json create mode 100644 metadata/UiPathDocumentOCR__18__metadata.json create mode 100644 metadata/UtilityBills__26__metadata.json create mode 100644 metadata/VehicleTitles__16__metadata.json create mode 100644 metadata/W2__19__metadata.json create mode 100644 metadata/W9__19__metadata.json diff --git a/metadata/1040__16__metadata.json b/metadata/1040__16__metadata.json new file mode 100644 index 00000000..8194a5f5 --- /dev/null +++ b/metadata/1040__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__18__metadata.json b/metadata/4506T__18__metadata.json new file mode 100644 index 00000000..a2646082 --- /dev/null +++ b/metadata/4506T__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__18__metadata.json b/metadata/990__18__metadata.json new file mode 100644 index 00000000..6af3e912 --- /dev/null +++ b/metadata/990__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__18__metadata.json b/metadata/Acord125__18__metadata.json new file mode 100644 index 00000000..93ad1e03 --- /dev/null +++ b/metadata/Acord125__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__16__metadata.json b/metadata/Acord126__16__metadata.json new file mode 100644 index 00000000..7c8bf3f5 --- /dev/null +++ b/metadata/Acord126__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__16__metadata.json b/metadata/Acord131__16__metadata.json new file mode 100644 index 00000000..a9d94399 --- /dev/null +++ b/metadata/Acord131__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__16__metadata.json b/metadata/Acord140__16__metadata.json new file mode 100644 index 00000000..4af36c3b --- /dev/null +++ b/metadata/Acord140__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__16__metadata.json b/metadata/Acord25__16__metadata.json new file mode 100644 index 00000000..472689d3 --- /dev/null +++ b/metadata/Acord25__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__23__metadata.json b/metadata/AustralianInvoices__23__metadata.json new file mode 100644 index 00000000..f57bc43b --- /dev/null +++ b/metadata/AustralianInvoices__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__16__metadata.json b/metadata/BankStatements__16__metadata.json new file mode 100644 index 00000000..2bf2acdd --- /dev/null +++ b/metadata/BankStatements__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__16__metadata.json b/metadata/BillsOfLading__16__metadata.json new file mode 100644 index 00000000..5beccd01 --- /dev/null +++ b/metadata/BillsOfLading__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__16__metadata.json b/metadata/Checks__16__metadata.json new file mode 100644 index 00000000..6343b03f --- /dev/null +++ b/metadata/Checks__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentClassifier__18__metadata.json b/metadata/DocumentClassifier__18__metadata.json new file mode 100644 index 00000000..77004960 --- /dev/null +++ b/metadata/DocumentClassifier__18__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-ml-document-type-text-classifier:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__27__metadata.json b/metadata/DocumentUnderstanding__27__metadata.json new file mode 100644 index 00000000..bc84158a --- /dev/null +++ b/metadata/DocumentUnderstanding__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__18__metadata.json b/metadata/FM1003__18__metadata.json new file mode 100644 index 00000000..ddfd6162 --- /dev/null +++ b/metadata/FM1003__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__16__metadata.json b/metadata/FinancialStatements__16__metadata.json new file mode 100644 index 00000000..e1c9c9b9 --- /dev/null +++ b/metadata/FinancialStatements__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__18__metadata.json b/metadata/I9__18__metadata.json new file mode 100644 index 00000000..b9a8df91 --- /dev/null +++ b/metadata/I9__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__20__metadata.json b/metadata/IDCards__20__metadata.json new file mode 100644 index 00000000..528d903d --- /dev/null +++ b/metadata/IDCards__20__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__26__metadata.json b/metadata/IndianInvoices__26__metadata.json new file mode 100644 index 00000000..9e386835 --- /dev/null +++ b/metadata/IndianInvoices__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__19__metadata.json b/metadata/InvoicesChina__19__metadata.json new file mode 100644 index 00000000..eac49d1b --- /dev/null +++ b/metadata/InvoicesChina__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__27__metadata.json b/metadata/Invoices__27__metadata.json new file mode 100644 index 00000000..93f7d78c --- /dev/null +++ b/metadata/Invoices__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__24__metadata.json b/metadata/JapaneseInvoices__24__metadata.json new file mode 100644 index 00000000..72079838 --- /dev/null +++ b/metadata/JapaneseInvoices__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__16__metadata.json b/metadata/PackingLists__16__metadata.json new file mode 100644 index 00000000..182af6d4 --- /dev/null +++ b/metadata/PackingLists__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__20__metadata.json b/metadata/Passports__20__metadata.json new file mode 100644 index 00000000..f5205eaf --- /dev/null +++ b/metadata/Passports__20__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__26__metadata.json b/metadata/PurchaseOrders__26__metadata.json new file mode 100644 index 00000000..53c9eedf --- /dev/null +++ b/metadata/PurchaseOrders__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__27__metadata.json b/metadata/Receipts__27__metadata.json new file mode 100644 index 00000000..4bbd45a0 --- /dev/null +++ b/metadata/Receipts__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__19__metadata.json b/metadata/RemittanceAdvices__19__metadata.json new file mode 100644 index 00000000..0ce80a3a --- /dev/null +++ b/metadata/RemittanceAdvices__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR_CPU__12__metadata.json b/metadata/UiPathDocumentOCR_CPU__12__metadata.json new file mode 100644 index 00000000..ecbfb421 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__12__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.11", + "imagePath": "du-doc-ocr-cpu:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UiPathDocumentOCR__18__metadata.json b/metadata/UiPathDocumentOCR__18__metadata.json new file mode 100644 index 00000000..1da42e34 --- /dev/null +++ b/metadata/UiPathDocumentOCR__18__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-doc-ocr:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__26__metadata.json b/metadata/UtilityBills__26__metadata.json new file mode 100644 index 00000000..51c69a46 --- /dev/null +++ b/metadata/UtilityBills__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__16__metadata.json b/metadata/VehicleTitles__16__metadata.json new file mode 100644 index 00000000..1ebe8d69 --- /dev/null +++ b/metadata/VehicleTitles__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__19__metadata.json b/metadata/W2__19__metadata.json new file mode 100644 index 00000000..587da73a --- /dev/null +++ b/metadata/W2__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__19__metadata.json b/metadata/W9__19__metadata.json new file mode 100644 index 00000000..c4741e68 --- /dev/null +++ b/metadata/W9__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From 85b904fe9444c26af8a8b2958a2bca8c1b541e2d Mon Sep 17 00:00:00 2001 From: mihairaduvlad <146950610+mihairaduvlad@users.noreply.github.com> Date: Tue, 14 May 2024 08:23:51 +0100 Subject: [PATCH 180/267] Add 22.10.7.2 (#284) --- ...etadata.json => ComputerVision__22100702__metadata.json} | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) rename metadata/{ComputerVision__22100701__metadata.json => ComputerVision__22100702__metadata.json} (93%) diff --git a/metadata/ComputerVision__22100701__metadata.json b/metadata/ComputerVision__22100702__metadata.json similarity index 93% rename from metadata/ComputerVision__22100701__metadata.json rename to metadata/ComputerVision__22100702__metadata.json index 12d122b0..d2a5ce06 100644 --- a/metadata/ComputerVision__22100701__metadata.json +++ b/metadata/ComputerVision__22100702__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2022.10.10", + "changeLog": "Release v2022.10.12", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 22100701, + "version": 22100702, "customVersion": "22.10.10", - "imagePath": "cv2210:22.10.7.1", + "imagePath": "cv2210:22.10.7.2", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" } \ No newline at end of file From 39179a9dd8611a00ccebc3e0c8145e996b9df944 Mon Sep 17 00:00:00 2001 From: mihairaduvlad <146950610+mihairaduvlad@users.noreply.github.com> Date: Tue, 14 May 2024 08:27:36 +0100 Subject: [PATCH 181/267] [CV] CVE changes for 23.10 and 23.4 (#283) * Changes for 23.4 and 23.10 * Small changes --- ...> ComputerVision__23041301__metadata.json} | 8 +++--- ...> ComputerVision__23100509__metadata.json} | 8 +++--- metadata/ComputerVision__5__metadata.json | 26 ------------------- 3 files changed, 8 insertions(+), 34 deletions(-) rename metadata/{ComputerVision__10__metadata.json => ComputerVision__23041301__metadata.json} (91%) rename metadata/{ComputerVision__8__metadata.json => ComputerVision__23100509__metadata.json} (91%) delete mode 100644 metadata/ComputerVision__5__metadata.json diff --git a/metadata/ComputerVision__10__metadata.json b/metadata/ComputerVision__23041301__metadata.json similarity index 91% rename from metadata/ComputerVision__10__metadata.json rename to metadata/ComputerVision__23041301__metadata.json index 16988275..687d0106 100644 --- a/metadata/ComputerVision__10__metadata.json +++ b/metadata/ComputerVision__23041301__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.04.5", + "changeLog": "Release v2023.04.7", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 10, - "customVersion": "23.04.5", - "imagePath": "cv2304:23.4.10.5", + "version": 23041301, + "customVersion": "23.04.7", + "imagePath": "cv2304:23.4.13.1", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" } \ No newline at end of file diff --git a/metadata/ComputerVision__8__metadata.json b/metadata/ComputerVision__23100509__metadata.json similarity index 91% rename from metadata/ComputerVision__8__metadata.json rename to metadata/ComputerVision__23100509__metadata.json index 68361e6b..68925f65 100644 --- a/metadata/ComputerVision__8__metadata.json +++ b/metadata/ComputerVision__23100509__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.2", + "changeLog": "Release v2023.10.4", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 8, - "customVersion": "23.10.2", - "imagePath": "cv2310:23.10.5.3", + "version": 23100509, + "customVersion": "23.10.4", + "imagePath": "cv2310:23.10.5.9", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" } diff --git a/metadata/ComputerVision__5__metadata.json b/metadata/ComputerVision__5__metadata.json deleted file mode 100644 index a37ce2da..00000000 --- a/metadata/ComputerVision__5__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "Release v2023.04", - "cpu": 0, - "description": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", - "displayName": "ComputerVision", - "gpu": 1, - "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/user-guide/computer-vision ", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36_CV", - "name": "ComputerVision", - "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/user-guide/computer-vision ", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Computer Vision", - "projectDescription": "Backend server for the Computer Vision solution that detects User Interface Elements from a provided Application screenshot", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 3, - "version": 5, - "customVersion": "23.04.1", - "imagePath": "cv2304:23.4.5.5", - "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" -} \ No newline at end of file From 981ef67535f875dddeb237e7f262291c6d63682c Mon Sep 17 00:00:00 2001 From: mihairaduvlad <146950610+mihairaduvlad@users.noreply.github.com> Date: Tue, 4 Jun 2024 13:19:21 +0100 Subject: [PATCH 182/267] [CV] Change custom version for 22.10 (#289) --- metadata/ComputerVision__22100702__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/ComputerVision__22100702__metadata.json b/metadata/ComputerVision__22100702__metadata.json index d2a5ce06..ef8c62a8 100644 --- a/metadata/ComputerVision__22100702__metadata.json +++ b/metadata/ComputerVision__22100702__metadata.json @@ -20,7 +20,7 @@ "minAIFabricVersion": "22.10", "languageVersion": 3, "version": 22100702, - "customVersion": "22.10.10", + "customVersion": "22.10.12", "imagePath": "cv2210:22.10.7.2", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" } \ No newline at end of file From 46afc2f27b9ec280c14d545c7b661ac106d69cf6 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Mon, 3 Jun 2024 11:00:07 +0300 Subject: [PATCH 183/267] DU ML models 23.10.4 release --- ...a.json => 1040ScheduleC__3__metadata.json} | 6 ++--- ...a.json => 1040ScheduleD__3__metadata.json} | 6 ++--- ...a.json => 1040ScheduleE__3__metadata.json} | 6 ++--- ..._metadata.json => 1040__17__metadata.json} | 6 ++--- ...metadata.json => 4506T__19__metadata.json} | 6 ++--- ...__metadata.json => 990__19__metadata.json} | 6 ++--- ...adata.json => Acord125__19__metadata.json} | 6 ++--- ...adata.json => Acord126__17__metadata.json} | 6 ++--- ...adata.json => Acord131__17__metadata.json} | 6 ++--- ...adata.json => Acord140__17__metadata.json} | 6 ++--- ...tadata.json => Acord25__17__metadata.json} | 6 ++--- ...json => BankStatements__17__metadata.json} | 6 ++--- ....json => BillsOfLading__17__metadata.json} | 6 ++--- ...etadata.json => CMS1500__9__metadata.json} | 6 ++--- ...ificatesOfIncorporation__9__metadata.json} | 6 ++--- ...=> CertificatesOfOrigin__9__metadata.json} | 6 ++--- ...etadata.json => Checks__17__metadata.json} | 6 ++--- ...drenProductCertificates__9__metadata.json} | 6 ++--- ... => DocumentClassifier__19__metadata.json} | 6 ++--- ... DocumentUnderstanding__28__metadata.json} | 6 ++--- ...DeclarationOfConformity__9__metadata.json} | 6 ++--- ...etadata.json => FM1003__19__metadata.json} | 6 ++--- ...=> FinancialStatements__17__metadata.json} | 6 ++--- ...6__metadata.json => I9__19__metadata.json} | 6 ++--- ...tadata.json => IDCards__21__metadata.json} | 6 ++--- ...json => IndianInvoices__27__metadata.json} | 6 ++--- ....json => InvoicesChina__20__metadata.json} | 6 ++--- ...son => InvoicesShipping__9__metadata.json} | 6 ++--- ...adata.json => Invoices__28__metadata.json} | 6 ++--- ...on => JapaneseInvoices__25__metadata.json} | 6 ++--- ...a.json => PackingLists__17__metadata.json} | 6 ++--- ...data.json => Passports__21__metadata.json} | 6 ++--- ...tadata.json => Payslips__9__metadata.json} | 6 ++--- ...json => PurchaseOrders__27__metadata.json} | 6 ++--- ...adata.json => Receipts__28__metadata.json} | 6 ++--- ...n => RemittanceAdvices__20__metadata.json} | 6 ++--- ...__metadata.json => UB04__3__metadata.json} | 6 ++--- .../UiPathDocumentOCR_CPU__13__metadata.json | 27 +++++++++++++++++++ metadata/UiPathDocumentOCR__19__metadata.json | 27 +++++++++++++++++++ ...a.json => UtilityBills__27__metadata.json} | 6 ++--- ....json => VehicleTitles__17__metadata.json} | 6 ++--- ...7__metadata.json => W2__20__metadata.json} | 6 ++--- ...7__metadata.json => W9__20__metadata.json} | 6 ++--- 43 files changed, 177 insertions(+), 123 deletions(-) rename metadata/{1040ScheduleC__2__metadata.json => 1040ScheduleC__3__metadata.json} (95%) rename metadata/{1040ScheduleD__2__metadata.json => 1040ScheduleD__3__metadata.json} (95%) rename metadata/{1040ScheduleE__2__metadata.json => 1040ScheduleE__3__metadata.json} (95%) rename metadata/{1040__14__metadata.json => 1040__17__metadata.json} (95%) rename metadata/{4506T__16__metadata.json => 4506T__19__metadata.json} (95%) rename metadata/{990__16__metadata.json => 990__19__metadata.json} (95%) rename metadata/{Acord125__16__metadata.json => Acord125__19__metadata.json} (95%) rename metadata/{Acord126__14__metadata.json => Acord126__17__metadata.json} (95%) rename metadata/{Acord131__14__metadata.json => Acord131__17__metadata.json} (95%) rename metadata/{Acord140__14__metadata.json => Acord140__17__metadata.json} (95%) rename metadata/{Acord25__14__metadata.json => Acord25__17__metadata.json} (95%) rename metadata/{BankStatements__14__metadata.json => BankStatements__17__metadata.json} (95%) rename metadata/{BillsOfLading__14__metadata.json => BillsOfLading__17__metadata.json} (95%) rename metadata/{CMS1500__7__metadata.json => CMS1500__9__metadata.json} (95%) rename metadata/{CertificatesOfIncorporation__7__metadata.json => CertificatesOfIncorporation__9__metadata.json} (95%) rename metadata/{CertificatesOfOrigin__7__metadata.json => CertificatesOfOrigin__9__metadata.json} (95%) rename metadata/{Checks__14__metadata.json => Checks__17__metadata.json} (95%) rename metadata/{ChildrenProductCertificates__7__metadata.json => ChildrenProductCertificates__9__metadata.json} (95%) rename metadata/{DocumentClassifier__16__metadata.json => DocumentClassifier__19__metadata.json} (93%) rename metadata/{DocumentUnderstanding__25__metadata.json => DocumentUnderstanding__28__metadata.json} (95%) rename metadata/{EUDeclarationOfConformity__7__metadata.json => EUDeclarationOfConformity__9__metadata.json} (95%) rename metadata/{FM1003__16__metadata.json => FM1003__19__metadata.json} (95%) rename metadata/{FinancialStatements__14__metadata.json => FinancialStatements__17__metadata.json} (95%) rename metadata/{I9__16__metadata.json => I9__19__metadata.json} (95%) rename metadata/{IDCards__18__metadata.json => IDCards__21__metadata.json} (95%) rename metadata/{IndianInvoices__24__metadata.json => IndianInvoices__27__metadata.json} (95%) rename metadata/{InvoicesChina__17__metadata.json => InvoicesChina__20__metadata.json} (95%) rename metadata/{InvoicesShipping__7__metadata.json => InvoicesShipping__9__metadata.json} (95%) rename metadata/{Invoices__25__metadata.json => Invoices__28__metadata.json} (95%) rename metadata/{JapaneseInvoices__22__metadata.json => JapaneseInvoices__25__metadata.json} (95%) rename metadata/{PackingLists__14__metadata.json => PackingLists__17__metadata.json} (95%) rename metadata/{Passports__18__metadata.json => Passports__21__metadata.json} (95%) rename metadata/{Payslips__7__metadata.json => Payslips__9__metadata.json} (95%) rename metadata/{PurchaseOrders__24__metadata.json => PurchaseOrders__27__metadata.json} (95%) rename metadata/{Receipts__25__metadata.json => Receipts__28__metadata.json} (95%) rename metadata/{RemittanceAdvices__17__metadata.json => RemittanceAdvices__20__metadata.json} (95%) rename metadata/{UB04__2__metadata.json => UB04__3__metadata.json} (95%) create mode 100644 metadata/UiPathDocumentOCR_CPU__13__metadata.json create mode 100644 metadata/UiPathDocumentOCR__19__metadata.json rename metadata/{UtilityBills__24__metadata.json => UtilityBills__27__metadata.json} (95%) rename metadata/{VehicleTitles__14__metadata.json => VehicleTitles__17__metadata.json} (95%) rename metadata/{W2__17__metadata.json => W2__20__metadata.json} (95%) rename metadata/{W9__17__metadata.json => W9__20__metadata.json} (95%) diff --git a/metadata/1040ScheduleC__2__metadata.json b/metadata/1040ScheduleC__3__metadata.json similarity index 95% rename from metadata/1040ScheduleC__2__metadata.json rename to metadata/1040ScheduleC__3__metadata.json index dba3596a..83d43fda 100644 --- a/metadata/1040ScheduleC__2__metadata.json +++ b/metadata/1040ScheduleC__3__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 2, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 3, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__2__metadata.json b/metadata/1040ScheduleD__3__metadata.json similarity index 95% rename from metadata/1040ScheduleD__2__metadata.json rename to metadata/1040ScheduleD__3__metadata.json index 30756685..ad7bb9cb 100644 --- a/metadata/1040ScheduleD__2__metadata.json +++ b/metadata/1040ScheduleD__3__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 2, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 3, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__2__metadata.json b/metadata/1040ScheduleE__3__metadata.json similarity index 95% rename from metadata/1040ScheduleE__2__metadata.json rename to metadata/1040ScheduleE__3__metadata.json index d96d32d6..e072b42d 100644 --- a/metadata/1040ScheduleE__2__metadata.json +++ b/metadata/1040ScheduleE__3__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 2, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 3, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__14__metadata.json b/metadata/1040__17__metadata.json similarity index 95% rename from metadata/1040__14__metadata.json rename to metadata/1040__17__metadata.json index f2fdb6d2..dc86764d 100644 --- a/metadata/1040__14__metadata.json +++ b/metadata/1040__17__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__16__metadata.json b/metadata/4506T__19__metadata.json similarity index 95% rename from metadata/4506T__16__metadata.json rename to metadata/4506T__19__metadata.json index 9415b140..2c52f33a 100644 --- a/metadata/4506T__16__metadata.json +++ b/metadata/4506T__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 19, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__16__metadata.json b/metadata/990__19__metadata.json similarity index 95% rename from metadata/990__16__metadata.json rename to metadata/990__19__metadata.json index 64ea0577..b687a308 100644 --- a/metadata/990__16__metadata.json +++ b/metadata/990__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 19, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__16__metadata.json b/metadata/Acord125__19__metadata.json similarity index 95% rename from metadata/Acord125__16__metadata.json rename to metadata/Acord125__19__metadata.json index 3c063d33..ed8b4daf 100644 --- a/metadata/Acord125__16__metadata.json +++ b/metadata/Acord125__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 19, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__14__metadata.json b/metadata/Acord126__17__metadata.json similarity index 95% rename from metadata/Acord126__14__metadata.json rename to metadata/Acord126__17__metadata.json index 7c9e5f65..15f21ad0 100644 --- a/metadata/Acord126__14__metadata.json +++ b/metadata/Acord126__17__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__14__metadata.json b/metadata/Acord131__17__metadata.json similarity index 95% rename from metadata/Acord131__14__metadata.json rename to metadata/Acord131__17__metadata.json index e771da53..78f46f0e 100644 --- a/metadata/Acord131__14__metadata.json +++ b/metadata/Acord131__17__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__14__metadata.json b/metadata/Acord140__17__metadata.json similarity index 95% rename from metadata/Acord140__14__metadata.json rename to metadata/Acord140__17__metadata.json index 3adfd0ac..fc639e6f 100644 --- a/metadata/Acord140__14__metadata.json +++ b/metadata/Acord140__17__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__14__metadata.json b/metadata/Acord25__17__metadata.json similarity index 95% rename from metadata/Acord25__14__metadata.json rename to metadata/Acord25__17__metadata.json index c5f74c53..817ddcd6 100644 --- a/metadata/Acord25__14__metadata.json +++ b/metadata/Acord25__17__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__14__metadata.json b/metadata/BankStatements__17__metadata.json similarity index 95% rename from metadata/BankStatements__14__metadata.json rename to metadata/BankStatements__17__metadata.json index 80205402..ce8dd861 100644 --- a/metadata/BankStatements__14__metadata.json +++ b/metadata/BankStatements__17__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__14__metadata.json b/metadata/BillsOfLading__17__metadata.json similarity index 95% rename from metadata/BillsOfLading__14__metadata.json rename to metadata/BillsOfLading__17__metadata.json index ca97aab5..024a5930 100644 --- a/metadata/BillsOfLading__14__metadata.json +++ b/metadata/BillsOfLading__17__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__7__metadata.json b/metadata/CMS1500__9__metadata.json similarity index 95% rename from metadata/CMS1500__7__metadata.json rename to metadata/CMS1500__9__metadata.json index b97c681e..d9477b09 100644 --- a/metadata/CMS1500__7__metadata.json +++ b/metadata/CMS1500__9__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 9, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__7__metadata.json b/metadata/CertificatesOfIncorporation__9__metadata.json similarity index 95% rename from metadata/CertificatesOfIncorporation__7__metadata.json rename to metadata/CertificatesOfIncorporation__9__metadata.json index cd161391..1c102e5d 100644 --- a/metadata/CertificatesOfIncorporation__7__metadata.json +++ b/metadata/CertificatesOfIncorporation__9__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 9, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__7__metadata.json b/metadata/CertificatesOfOrigin__9__metadata.json similarity index 95% rename from metadata/CertificatesOfOrigin__7__metadata.json rename to metadata/CertificatesOfOrigin__9__metadata.json index 76599dca..0d1660f2 100644 --- a/metadata/CertificatesOfOrigin__7__metadata.json +++ b/metadata/CertificatesOfOrigin__9__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 9, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__14__metadata.json b/metadata/Checks__17__metadata.json similarity index 95% rename from metadata/Checks__14__metadata.json rename to metadata/Checks__17__metadata.json index 2c80fd6d..f66f0004 100644 --- a/metadata/Checks__14__metadata.json +++ b/metadata/Checks__17__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__7__metadata.json b/metadata/ChildrenProductCertificates__9__metadata.json similarity index 95% rename from metadata/ChildrenProductCertificates__7__metadata.json rename to metadata/ChildrenProductCertificates__9__metadata.json index edf2ebc6..ac810d0f 100644 --- a/metadata/ChildrenProductCertificates__7__metadata.json +++ b/metadata/ChildrenProductCertificates__9__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 9, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__16__metadata.json b/metadata/DocumentClassifier__19__metadata.json similarity index 93% rename from metadata/DocumentClassifier__16__metadata.json rename to metadata/DocumentClassifier__19__metadata.json index 43bcdc6c..7536852d 100644 --- a/metadata/DocumentClassifier__16__metadata.json +++ b/metadata/DocumentClassifier__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "23.10.3", - "imagePath": "du-ml-document-type-text-classifier:v23.10.3-rc04", + "version": 19, + "customVersion": "23.10.4", + "imagePath": "du-ml-document-type-text-classifier:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__25__metadata.json b/metadata/DocumentUnderstanding__28__metadata.json similarity index 95% rename from metadata/DocumentUnderstanding__25__metadata.json rename to metadata/DocumentUnderstanding__28__metadata.json index 6087fa55..b96a9268 100644 --- a/metadata/DocumentUnderstanding__25__metadata.json +++ b/metadata/DocumentUnderstanding__28__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 25, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 28, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__7__metadata.json b/metadata/EUDeclarationOfConformity__9__metadata.json similarity index 95% rename from metadata/EUDeclarationOfConformity__7__metadata.json rename to metadata/EUDeclarationOfConformity__9__metadata.json index 6b23378a..89eca137 100644 --- a/metadata/EUDeclarationOfConformity__7__metadata.json +++ b/metadata/EUDeclarationOfConformity__9__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 9, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__16__metadata.json b/metadata/FM1003__19__metadata.json similarity index 95% rename from metadata/FM1003__16__metadata.json rename to metadata/FM1003__19__metadata.json index 1d16c936..b3ab4629 100644 --- a/metadata/FM1003__16__metadata.json +++ b/metadata/FM1003__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 19, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__14__metadata.json b/metadata/FinancialStatements__17__metadata.json similarity index 95% rename from metadata/FinancialStatements__14__metadata.json rename to metadata/FinancialStatements__17__metadata.json index 3b4582b3..ca382acb 100644 --- a/metadata/FinancialStatements__14__metadata.json +++ b/metadata/FinancialStatements__17__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__16__metadata.json b/metadata/I9__19__metadata.json similarity index 95% rename from metadata/I9__16__metadata.json rename to metadata/I9__19__metadata.json index a33f2183..658f1e88 100644 --- a/metadata/I9__16__metadata.json +++ b/metadata/I9__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 19, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__18__metadata.json b/metadata/IDCards__21__metadata.json similarity index 95% rename from metadata/IDCards__18__metadata.json rename to metadata/IDCards__21__metadata.json index 1dd74662..4378a55d 100644 --- a/metadata/IDCards__18__metadata.json +++ b/metadata/IDCards__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 21, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__24__metadata.json b/metadata/IndianInvoices__27__metadata.json similarity index 95% rename from metadata/IndianInvoices__24__metadata.json rename to metadata/IndianInvoices__27__metadata.json index d8ba2444..60c1c4c7 100644 --- a/metadata/IndianInvoices__24__metadata.json +++ b/metadata/IndianInvoices__27__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 24, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 27, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__17__metadata.json b/metadata/InvoicesChina__20__metadata.json similarity index 95% rename from metadata/InvoicesChina__17__metadata.json rename to metadata/InvoicesChina__20__metadata.json index 70db49f4..b1bf1ab7 100644 --- a/metadata/InvoicesChina__17__metadata.json +++ b/metadata/InvoicesChina__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 20, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__7__metadata.json b/metadata/InvoicesShipping__9__metadata.json similarity index 95% rename from metadata/InvoicesShipping__7__metadata.json rename to metadata/InvoicesShipping__9__metadata.json index 946e0069..d0d51720 100644 --- a/metadata/InvoicesShipping__7__metadata.json +++ b/metadata/InvoicesShipping__9__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 9, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__25__metadata.json b/metadata/Invoices__28__metadata.json similarity index 95% rename from metadata/Invoices__25__metadata.json rename to metadata/Invoices__28__metadata.json index 2db10c65..6f32cc1b 100644 --- a/metadata/Invoices__25__metadata.json +++ b/metadata/Invoices__28__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 25, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 28, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__22__metadata.json b/metadata/JapaneseInvoices__25__metadata.json similarity index 95% rename from metadata/JapaneseInvoices__22__metadata.json rename to metadata/JapaneseInvoices__25__metadata.json index 4eb7d141..2e537389 100644 --- a/metadata/JapaneseInvoices__22__metadata.json +++ b/metadata/JapaneseInvoices__25__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 22, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 25, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__14__metadata.json b/metadata/PackingLists__17__metadata.json similarity index 95% rename from metadata/PackingLists__14__metadata.json rename to metadata/PackingLists__17__metadata.json index 1d5ac824..0dec7891 100644 --- a/metadata/PackingLists__14__metadata.json +++ b/metadata/PackingLists__17__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__18__metadata.json b/metadata/Passports__21__metadata.json similarity index 95% rename from metadata/Passports__18__metadata.json rename to metadata/Passports__21__metadata.json index e9eb944f..60a72034 100644 --- a/metadata/Passports__18__metadata.json +++ b/metadata/Passports__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 21, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__7__metadata.json b/metadata/Payslips__9__metadata.json similarity index 95% rename from metadata/Payslips__7__metadata.json rename to metadata/Payslips__9__metadata.json index 4aec0259..17a9ceb1 100644 --- a/metadata/Payslips__7__metadata.json +++ b/metadata/Payslips__9__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 9, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__24__metadata.json b/metadata/PurchaseOrders__27__metadata.json similarity index 95% rename from metadata/PurchaseOrders__24__metadata.json rename to metadata/PurchaseOrders__27__metadata.json index 681c73ae..51aa56d4 100644 --- a/metadata/PurchaseOrders__24__metadata.json +++ b/metadata/PurchaseOrders__27__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 24, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 27, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__25__metadata.json b/metadata/Receipts__28__metadata.json similarity index 95% rename from metadata/Receipts__25__metadata.json rename to metadata/Receipts__28__metadata.json index cdbc2331..c34b3294 100644 --- a/metadata/Receipts__25__metadata.json +++ b/metadata/Receipts__28__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 25, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 28, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__17__metadata.json b/metadata/RemittanceAdvices__20__metadata.json similarity index 95% rename from metadata/RemittanceAdvices__17__metadata.json rename to metadata/RemittanceAdvices__20__metadata.json index 10d53ad0..c8312e02 100644 --- a/metadata/RemittanceAdvices__17__metadata.json +++ b/metadata/RemittanceAdvices__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 20, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__2__metadata.json b/metadata/UB04__3__metadata.json similarity index 95% rename from metadata/UB04__2__metadata.json rename to metadata/UB04__3__metadata.json index 606d056b..c1bfac97 100644 --- a/metadata/UB04__2__metadata.json +++ b/metadata/UB04__3__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 2, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 3, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__13__metadata.json b/metadata/UiPathDocumentOCR_CPU__13__metadata.json new file mode 100644 index 00000000..920b3f40 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__13__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.10.4", + "imagePath": "du-doc-ocr-cpu:v23.10.4-rc93", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UiPathDocumentOCR__19__metadata.json b/metadata/UiPathDocumentOCR__19__metadata.json new file mode 100644 index 00000000..7d1c3623 --- /dev/null +++ b/metadata/UiPathDocumentOCR__19__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.10.4", + "imagePath": "du-doc-ocr:v23.10.4-rc93", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__24__metadata.json b/metadata/UtilityBills__27__metadata.json similarity index 95% rename from metadata/UtilityBills__24__metadata.json rename to metadata/UtilityBills__27__metadata.json index bcf8e68c..3051cc0a 100644 --- a/metadata/UtilityBills__24__metadata.json +++ b/metadata/UtilityBills__27__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 24, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 27, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__14__metadata.json b/metadata/VehicleTitles__17__metadata.json similarity index 95% rename from metadata/VehicleTitles__14__metadata.json rename to metadata/VehicleTitles__17__metadata.json index 27608d26..ea0ef307 100644 --- a/metadata/VehicleTitles__14__metadata.json +++ b/metadata/VehicleTitles__17__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 17, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__17__metadata.json b/metadata/W2__20__metadata.json similarity index 95% rename from metadata/W2__17__metadata.json rename to metadata/W2__20__metadata.json index e31bf37b..b7fd72f3 100644 --- a/metadata/W2__17__metadata.json +++ b/metadata/W2__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 20, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__17__metadata.json b/metadata/W9__20__metadata.json similarity index 95% rename from metadata/W9__17__metadata.json rename to metadata/W9__20__metadata.json index 31286557..e344f566 100644 --- a/metadata/W9__17__metadata.json +++ b/metadata/W9__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", + "version": 20, + "customVersion": "23.10.4", + "imagePath": "du-semistructured:v23.10.4-rc93", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 1f3ddf34d79c8ce2861de6e5c2386aabd0bd4b27 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Mon, 3 Jun 2024 11:13:13 +0300 Subject: [PATCH 184/267] DU ML models 23.4.7 release --- .../{1040__15__metadata.json => 1040__18__metadata.json} | 6 +++--- .../{4506T__17__metadata.json => 4506T__20__metadata.json} | 6 +++--- .../{990__17__metadata.json => 990__20__metadata.json} | 6 +++--- ...d125__17__metadata.json => Acord125__20__metadata.json} | 6 +++--- ...d126__15__metadata.json => Acord126__18__metadata.json} | 6 +++--- ...d131__15__metadata.json => Acord131__18__metadata.json} | 6 +++--- ...d140__15__metadata.json => Acord140__18__metadata.json} | 6 +++--- ...ord25__15__metadata.json => Acord25__18__metadata.json} | 6 +++--- ...metadata.json => AustralianInvoices__25__metadata.json} | 6 +++--- ...15__metadata.json => BankStatements__18__metadata.json} | 6 +++--- ..._15__metadata.json => BillsOfLading__18__metadata.json} | 6 +++--- ...MS1500__8__metadata.json => CMS1500__10__metadata.json} | 6 +++--- ...json => CertificatesOfIncorporation__10__metadata.json} | 6 +++--- ...tadata.json => CertificatesOfOrigin__10__metadata.json} | 6 +++--- ...Checks__15__metadata.json => Checks__18__metadata.json} | 6 +++--- ...json => ChildrenProductCertificates__10__metadata.json} | 6 +++--- ...metadata.json => DocumentClassifier__20__metadata.json} | 6 +++--- ...adata.json => DocumentUnderstanding__29__metadata.json} | 6 +++--- ...a.json => EUDeclarationOfConformity__10__metadata.json} | 6 +++--- ...FM1003__17__metadata.json => FM1003__20__metadata.json} | 6 +++--- ...etadata.json => FinancialStatements__18__metadata.json} | 6 +++--- metadata/{I9__17__metadata.json => I9__20__metadata.json} | 6 +++--- ...Cards__19__metadata.json => IDCards__22__metadata.json} | 6 +++--- ...25__metadata.json => IndianInvoices__28__metadata.json} | 6 +++--- ..._18__metadata.json => InvoicesChina__21__metadata.json} | 6 +++--- ...__metadata.json => InvoicesShipping__10__metadata.json} | 6 +++--- ...ices__26__metadata.json => Invoices__29__metadata.json} | 6 +++--- ...__metadata.json => JapaneseInvoices__26__metadata.json} | 6 +++--- ...__15__metadata.json => PackingLists__18__metadata.json} | 6 +++--- ...rts__19__metadata.json => Passports__22__metadata.json} | 6 +++--- ...slips__8__metadata.json => Payslips__10__metadata.json} | 6 +++--- ...25__metadata.json => PurchaseOrders__28__metadata.json} | 6 +++--- ...ipts__26__metadata.json => Receipts__29__metadata.json} | 6 +++--- ..._metadata.json => RemittanceAdvices__21__metadata.json} | 6 +++--- ...adata.json => UiPathDocumentOCR_CPU__14__metadata.json} | 7 ++++--- ..._metadata.json => UiPathDocumentOCR__20__metadata.json} | 7 ++++--- ...__25__metadata.json => UtilityBills__28__metadata.json} | 6 +++--- ..._15__metadata.json => VehicleTitles__18__metadata.json} | 6 +++--- metadata/{W2__18__metadata.json => W2__21__metadata.json} | 6 +++--- metadata/{W9__18__metadata.json => W9__21__metadata.json} | 6 +++--- 40 files changed, 122 insertions(+), 120 deletions(-) rename metadata/{1040__15__metadata.json => 1040__18__metadata.json} (95%) rename metadata/{4506T__17__metadata.json => 4506T__20__metadata.json} (95%) rename metadata/{990__17__metadata.json => 990__20__metadata.json} (95%) rename metadata/{Acord125__17__metadata.json => Acord125__20__metadata.json} (95%) rename metadata/{Acord126__15__metadata.json => Acord126__18__metadata.json} (95%) rename metadata/{Acord131__15__metadata.json => Acord131__18__metadata.json} (95%) rename metadata/{Acord140__15__metadata.json => Acord140__18__metadata.json} (95%) rename metadata/{Acord25__15__metadata.json => Acord25__18__metadata.json} (95%) rename metadata/{AustralianInvoices__22__metadata.json => AustralianInvoices__25__metadata.json} (95%) rename metadata/{BankStatements__15__metadata.json => BankStatements__18__metadata.json} (95%) rename metadata/{BillsOfLading__15__metadata.json => BillsOfLading__18__metadata.json} (95%) rename metadata/{CMS1500__8__metadata.json => CMS1500__10__metadata.json} (95%) rename metadata/{CertificatesOfIncorporation__8__metadata.json => CertificatesOfIncorporation__10__metadata.json} (95%) rename metadata/{CertificatesOfOrigin__8__metadata.json => CertificatesOfOrigin__10__metadata.json} (95%) rename metadata/{Checks__15__metadata.json => Checks__18__metadata.json} (95%) rename metadata/{ChildrenProductCertificates__8__metadata.json => ChildrenProductCertificates__10__metadata.json} (95%) rename metadata/{DocumentClassifier__17__metadata.json => DocumentClassifier__20__metadata.json} (93%) rename metadata/{DocumentUnderstanding__26__metadata.json => DocumentUnderstanding__29__metadata.json} (95%) rename metadata/{EUDeclarationOfConformity__8__metadata.json => EUDeclarationOfConformity__10__metadata.json} (95%) rename metadata/{FM1003__17__metadata.json => FM1003__20__metadata.json} (95%) rename metadata/{FinancialStatements__15__metadata.json => FinancialStatements__18__metadata.json} (95%) rename metadata/{I9__17__metadata.json => I9__20__metadata.json} (95%) rename metadata/{IDCards__19__metadata.json => IDCards__22__metadata.json} (95%) rename metadata/{IndianInvoices__25__metadata.json => IndianInvoices__28__metadata.json} (95%) rename metadata/{InvoicesChina__18__metadata.json => InvoicesChina__21__metadata.json} (95%) rename metadata/{InvoicesShipping__8__metadata.json => InvoicesShipping__10__metadata.json} (95%) rename metadata/{Invoices__26__metadata.json => Invoices__29__metadata.json} (95%) rename metadata/{JapaneseInvoices__23__metadata.json => JapaneseInvoices__26__metadata.json} (95%) rename metadata/{PackingLists__15__metadata.json => PackingLists__18__metadata.json} (95%) rename metadata/{Passports__19__metadata.json => Passports__22__metadata.json} (95%) rename metadata/{Payslips__8__metadata.json => Payslips__10__metadata.json} (95%) rename metadata/{PurchaseOrders__25__metadata.json => PurchaseOrders__28__metadata.json} (95%) rename metadata/{Receipts__26__metadata.json => Receipts__29__metadata.json} (95%) rename metadata/{RemittanceAdvices__18__metadata.json => RemittanceAdvices__21__metadata.json} (95%) rename metadata/{UiPathDocumentOCR_CPU__6__metadata.json => UiPathDocumentOCR_CPU__14__metadata.json} (95%) rename metadata/{UiPathDocumentOCR__11__metadata.json => UiPathDocumentOCR__20__metadata.json} (95%) rename metadata/{UtilityBills__25__metadata.json => UtilityBills__28__metadata.json} (95%) rename metadata/{VehicleTitles__15__metadata.json => VehicleTitles__18__metadata.json} (95%) rename metadata/{W2__18__metadata.json => W2__21__metadata.json} (95%) rename metadata/{W9__18__metadata.json => W9__21__metadata.json} (95%) diff --git a/metadata/1040__15__metadata.json b/metadata/1040__18__metadata.json similarity index 95% rename from metadata/1040__15__metadata.json rename to metadata/1040__18__metadata.json index 88d0c70b..d7551167 100644 --- a/metadata/1040__15__metadata.json +++ b/metadata/1040__18__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__17__metadata.json b/metadata/4506T__20__metadata.json similarity index 95% rename from metadata/4506T__17__metadata.json rename to metadata/4506T__20__metadata.json index 870c77e4..37060387 100644 --- a/metadata/4506T__17__metadata.json +++ b/metadata/4506T__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 20, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__17__metadata.json b/metadata/990__20__metadata.json similarity index 95% rename from metadata/990__17__metadata.json rename to metadata/990__20__metadata.json index 7bd29cd8..da83986d 100644 --- a/metadata/990__17__metadata.json +++ b/metadata/990__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 20, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__17__metadata.json b/metadata/Acord125__20__metadata.json similarity index 95% rename from metadata/Acord125__17__metadata.json rename to metadata/Acord125__20__metadata.json index 2d933074..da276569 100644 --- a/metadata/Acord125__17__metadata.json +++ b/metadata/Acord125__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 20, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__15__metadata.json b/metadata/Acord126__18__metadata.json similarity index 95% rename from metadata/Acord126__15__metadata.json rename to metadata/Acord126__18__metadata.json index ba522a37..964a5db2 100644 --- a/metadata/Acord126__15__metadata.json +++ b/metadata/Acord126__18__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__15__metadata.json b/metadata/Acord131__18__metadata.json similarity index 95% rename from metadata/Acord131__15__metadata.json rename to metadata/Acord131__18__metadata.json index 0ad9f91d..dee6e17e 100644 --- a/metadata/Acord131__15__metadata.json +++ b/metadata/Acord131__18__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__15__metadata.json b/metadata/Acord140__18__metadata.json similarity index 95% rename from metadata/Acord140__15__metadata.json rename to metadata/Acord140__18__metadata.json index 6163ba1e..4e6025c0 100644 --- a/metadata/Acord140__15__metadata.json +++ b/metadata/Acord140__18__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__15__metadata.json b/metadata/Acord25__18__metadata.json similarity index 95% rename from metadata/Acord25__15__metadata.json rename to metadata/Acord25__18__metadata.json index 09af8de2..4f63ecf7 100644 --- a/metadata/Acord25__15__metadata.json +++ b/metadata/Acord25__18__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__22__metadata.json b/metadata/AustralianInvoices__25__metadata.json similarity index 95% rename from metadata/AustralianInvoices__22__metadata.json rename to metadata/AustralianInvoices__25__metadata.json index d3fc50a0..e8fb0ef3 100644 --- a/metadata/AustralianInvoices__22__metadata.json +++ b/metadata/AustralianInvoices__25__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 22, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 25, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__15__metadata.json b/metadata/BankStatements__18__metadata.json similarity index 95% rename from metadata/BankStatements__15__metadata.json rename to metadata/BankStatements__18__metadata.json index b3f39e94..a7fb6036 100644 --- a/metadata/BankStatements__15__metadata.json +++ b/metadata/BankStatements__18__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__15__metadata.json b/metadata/BillsOfLading__18__metadata.json similarity index 95% rename from metadata/BillsOfLading__15__metadata.json rename to metadata/BillsOfLading__18__metadata.json index 3a23feff..ec6039f2 100644 --- a/metadata/BillsOfLading__15__metadata.json +++ b/metadata/BillsOfLading__18__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__8__metadata.json b/metadata/CMS1500__10__metadata.json similarity index 95% rename from metadata/CMS1500__8__metadata.json rename to metadata/CMS1500__10__metadata.json index e682614c..4c146f2b 100644 --- a/metadata/CMS1500__8__metadata.json +++ b/metadata/CMS1500__10__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 10, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__8__metadata.json b/metadata/CertificatesOfIncorporation__10__metadata.json similarity index 95% rename from metadata/CertificatesOfIncorporation__8__metadata.json rename to metadata/CertificatesOfIncorporation__10__metadata.json index e639d5ae..d43c4523 100644 --- a/metadata/CertificatesOfIncorporation__8__metadata.json +++ b/metadata/CertificatesOfIncorporation__10__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 10, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__8__metadata.json b/metadata/CertificatesOfOrigin__10__metadata.json similarity index 95% rename from metadata/CertificatesOfOrigin__8__metadata.json rename to metadata/CertificatesOfOrigin__10__metadata.json index 705633e1..5c42752f 100644 --- a/metadata/CertificatesOfOrigin__8__metadata.json +++ b/metadata/CertificatesOfOrigin__10__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 10, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__15__metadata.json b/metadata/Checks__18__metadata.json similarity index 95% rename from metadata/Checks__15__metadata.json rename to metadata/Checks__18__metadata.json index cdf3ea99..3b24d11d 100644 --- a/metadata/Checks__15__metadata.json +++ b/metadata/Checks__18__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__8__metadata.json b/metadata/ChildrenProductCertificates__10__metadata.json similarity index 95% rename from metadata/ChildrenProductCertificates__8__metadata.json rename to metadata/ChildrenProductCertificates__10__metadata.json index 9f025cc3..e50a2062 100644 --- a/metadata/ChildrenProductCertificates__8__metadata.json +++ b/metadata/ChildrenProductCertificates__10__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 10, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__17__metadata.json b/metadata/DocumentClassifier__20__metadata.json similarity index 93% rename from metadata/DocumentClassifier__17__metadata.json rename to metadata/DocumentClassifier__20__metadata.json index 9a171ec8..d0a71359 100644 --- a/metadata/DocumentClassifier__17__metadata.json +++ b/metadata/DocumentClassifier__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.4.6", - "imagePath": "du-ml-document-type-text-classifier:v23.4.5-rc83", + "version": 20, + "customVersion": "23.4.7", + "imagePath": "du-ml-document-type-text-classifier:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__26__metadata.json b/metadata/DocumentUnderstanding__29__metadata.json similarity index 95% rename from metadata/DocumentUnderstanding__26__metadata.json rename to metadata/DocumentUnderstanding__29__metadata.json index c301e356..fd258d45 100644 --- a/metadata/DocumentUnderstanding__26__metadata.json +++ b/metadata/DocumentUnderstanding__29__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 26, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 29, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__8__metadata.json b/metadata/EUDeclarationOfConformity__10__metadata.json similarity index 95% rename from metadata/EUDeclarationOfConformity__8__metadata.json rename to metadata/EUDeclarationOfConformity__10__metadata.json index 6aa4ca4f..6eccfdf4 100644 --- a/metadata/EUDeclarationOfConformity__8__metadata.json +++ b/metadata/EUDeclarationOfConformity__10__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 10, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__17__metadata.json b/metadata/FM1003__20__metadata.json similarity index 95% rename from metadata/FM1003__17__metadata.json rename to metadata/FM1003__20__metadata.json index d0adec1c..b140ef07 100644 --- a/metadata/FM1003__17__metadata.json +++ b/metadata/FM1003__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 20, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__15__metadata.json b/metadata/FinancialStatements__18__metadata.json similarity index 95% rename from metadata/FinancialStatements__15__metadata.json rename to metadata/FinancialStatements__18__metadata.json index 3d067430..5d9ad426 100644 --- a/metadata/FinancialStatements__15__metadata.json +++ b/metadata/FinancialStatements__18__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__17__metadata.json b/metadata/I9__20__metadata.json similarity index 95% rename from metadata/I9__17__metadata.json rename to metadata/I9__20__metadata.json index 7d5147d6..2e9a73ca 100644 --- a/metadata/I9__17__metadata.json +++ b/metadata/I9__20__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 17, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 20, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__19__metadata.json b/metadata/IDCards__22__metadata.json similarity index 95% rename from metadata/IDCards__19__metadata.json rename to metadata/IDCards__22__metadata.json index 81d08492..730b4862 100644 --- a/metadata/IDCards__19__metadata.json +++ b/metadata/IDCards__22__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 19, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 22, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__25__metadata.json b/metadata/IndianInvoices__28__metadata.json similarity index 95% rename from metadata/IndianInvoices__25__metadata.json rename to metadata/IndianInvoices__28__metadata.json index 1d2fd7bf..a20bf652 100644 --- a/metadata/IndianInvoices__25__metadata.json +++ b/metadata/IndianInvoices__28__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 25, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 28, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__18__metadata.json b/metadata/InvoicesChina__21__metadata.json similarity index 95% rename from metadata/InvoicesChina__18__metadata.json rename to metadata/InvoicesChina__21__metadata.json index 5665eef3..5357c7eb 100644 --- a/metadata/InvoicesChina__18__metadata.json +++ b/metadata/InvoicesChina__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 21, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__8__metadata.json b/metadata/InvoicesShipping__10__metadata.json similarity index 95% rename from metadata/InvoicesShipping__8__metadata.json rename to metadata/InvoicesShipping__10__metadata.json index 0f08580f..cdff0614 100644 --- a/metadata/InvoicesShipping__8__metadata.json +++ b/metadata/InvoicesShipping__10__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 10, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__26__metadata.json b/metadata/Invoices__29__metadata.json similarity index 95% rename from metadata/Invoices__26__metadata.json rename to metadata/Invoices__29__metadata.json index 914ea0e5..a994d8c8 100644 --- a/metadata/Invoices__26__metadata.json +++ b/metadata/Invoices__29__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 26, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 29, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__23__metadata.json b/metadata/JapaneseInvoices__26__metadata.json similarity index 95% rename from metadata/JapaneseInvoices__23__metadata.json rename to metadata/JapaneseInvoices__26__metadata.json index 2a7b0ace..ef9565a0 100644 --- a/metadata/JapaneseInvoices__23__metadata.json +++ b/metadata/JapaneseInvoices__26__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 23, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 26, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__15__metadata.json b/metadata/PackingLists__18__metadata.json similarity index 95% rename from metadata/PackingLists__15__metadata.json rename to metadata/PackingLists__18__metadata.json index 3a15925c..b09ea893 100644 --- a/metadata/PackingLists__15__metadata.json +++ b/metadata/PackingLists__18__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__19__metadata.json b/metadata/Passports__22__metadata.json similarity index 95% rename from metadata/Passports__19__metadata.json rename to metadata/Passports__22__metadata.json index 8bf4aa8b..c1af9816 100644 --- a/metadata/Passports__19__metadata.json +++ b/metadata/Passports__22__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 19, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 22, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__8__metadata.json b/metadata/Payslips__10__metadata.json similarity index 95% rename from metadata/Payslips__8__metadata.json rename to metadata/Payslips__10__metadata.json index 89ee59dc..63faf53c 100644 --- a/metadata/Payslips__8__metadata.json +++ b/metadata/Payslips__10__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 10, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__25__metadata.json b/metadata/PurchaseOrders__28__metadata.json similarity index 95% rename from metadata/PurchaseOrders__25__metadata.json rename to metadata/PurchaseOrders__28__metadata.json index a5cefd65..fb8782b2 100644 --- a/metadata/PurchaseOrders__25__metadata.json +++ b/metadata/PurchaseOrders__28__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 25, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 28, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__26__metadata.json b/metadata/Receipts__29__metadata.json similarity index 95% rename from metadata/Receipts__26__metadata.json rename to metadata/Receipts__29__metadata.json index 666bd3bc..8d176310 100644 --- a/metadata/Receipts__26__metadata.json +++ b/metadata/Receipts__29__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 26, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 29, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__18__metadata.json b/metadata/RemittanceAdvices__21__metadata.json similarity index 95% rename from metadata/RemittanceAdvices__18__metadata.json rename to metadata/RemittanceAdvices__21__metadata.json index ec73ef8c..de0bdda6 100644 --- a/metadata/RemittanceAdvices__18__metadata.json +++ b/metadata/RemittanceAdvices__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 21, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__14__metadata.json similarity index 95% rename from metadata/UiPathDocumentOCR_CPU__6__metadata.json rename to metadata/UiPathDocumentOCR_CPU__14__metadata.json index 4c99d1ab..a6c51d15 100644 --- a/metadata/UiPathDocumentOCR_CPU__6__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__14__metadata.json @@ -19,8 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 6, - "customVersion": "23.4.0", - "imagePath": "du-doc-ocr-cpu:v23.4.0-rc70", + "version": 14, + "customVersion": "23.4.7", + "imagePath": "du-doc-ocr-cpu:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } + diff --git a/metadata/UiPathDocumentOCR__11__metadata.json b/metadata/UiPathDocumentOCR__20__metadata.json similarity index 95% rename from metadata/UiPathDocumentOCR__11__metadata.json rename to metadata/UiPathDocumentOCR__20__metadata.json index 715a9b0c..edac3e20 100644 --- a/metadata/UiPathDocumentOCR__11__metadata.json +++ b/metadata/UiPathDocumentOCR__20__metadata.json @@ -19,8 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 11, - "customVersion": "23.4.0", - "imagePath": "du-doc-ocr:v23.4.0-rc70", + "version": 20, + "customVersion": "23.4.7", + "imagePath": "du-doc-ocr:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } + diff --git a/metadata/UtilityBills__25__metadata.json b/metadata/UtilityBills__28__metadata.json similarity index 95% rename from metadata/UtilityBills__25__metadata.json rename to metadata/UtilityBills__28__metadata.json index 2d04dba5..23515e94 100644 --- a/metadata/UtilityBills__25__metadata.json +++ b/metadata/UtilityBills__28__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 25, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 28, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__15__metadata.json b/metadata/VehicleTitles__18__metadata.json similarity index 95% rename from metadata/VehicleTitles__15__metadata.json rename to metadata/VehicleTitles__18__metadata.json index 1c4fe622..d2a88db3 100644 --- a/metadata/VehicleTitles__15__metadata.json +++ b/metadata/VehicleTitles__18__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 18, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__18__metadata.json b/metadata/W2__21__metadata.json similarity index 95% rename from metadata/W2__18__metadata.json rename to metadata/W2__21__metadata.json index 42e9e60a..6a91df9f 100644 --- a/metadata/W2__18__metadata.json +++ b/metadata/W2__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 21, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__18__metadata.json b/metadata/W9__21__metadata.json similarity index 95% rename from metadata/W9__18__metadata.json rename to metadata/W9__21__metadata.json index d957858c..b9c64bbc 100644 --- a/metadata/W9__18__metadata.json +++ b/metadata/W9__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", + "version": 21, + "customVersion": "23.4.7", + "imagePath": "du-semistructured:v23.4.7-rc35", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 506a1fe9df915b7a6fd039e6ae9b21cf806c416a Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Mon, 3 Jun 2024 11:22:30 +0300 Subject: [PATCH 185/267] DU ML 22.10.12 release --- .../{1040__16__metadata.json => 1040__19__metadata.json} | 6 +++--- .../{4506T__18__metadata.json => 4506T__21__metadata.json} | 6 +++--- metadata/{990__18__metadata.json => 990__21__metadata.json} | 6 +++--- ...rd125__18__metadata.json => Acord125__21__metadata.json} | 6 +++--- ...rd126__16__metadata.json => Acord126__19__metadata.json} | 6 +++--- ...rd131__16__metadata.json => Acord131__19__metadata.json} | 6 +++--- ...rd140__16__metadata.json => Acord140__19__metadata.json} | 6 +++--- ...cord25__16__metadata.json => Acord25__19__metadata.json} | 6 +++--- ..._metadata.json => AustralianInvoices__26__metadata.json} | 6 +++--- ..._16__metadata.json => BankStatements__19__metadata.json} | 6 +++--- ...__16__metadata.json => BillsOfLading__19__metadata.json} | 6 +++--- ...{Checks__16__metadata.json => Checks__19__metadata.json} | 6 +++--- ..._metadata.json => DocumentClassifier__21__metadata.json} | 6 +++--- ...tadata.json => DocumentUnderstanding__30__metadata.json} | 6 +++--- ...{FM1003__18__metadata.json => FM1003__21__metadata.json} | 6 +++--- ...metadata.json => FinancialStatements__19__metadata.json} | 6 +++--- metadata/{I9__18__metadata.json => I9__21__metadata.json} | 6 +++--- ...DCards__20__metadata.json => IDCards__23__metadata.json} | 6 +++--- ..._26__metadata.json => IndianInvoices__29__metadata.json} | 6 +++--- ...__19__metadata.json => InvoicesChina__22__metadata.json} | 6 +++--- ...oices__27__metadata.json => Invoices__30__metadata.json} | 6 +++--- ...4__metadata.json => JapaneseInvoices__27__metadata.json} | 6 +++--- ...s__16__metadata.json => PackingLists__19__metadata.json} | 6 +++--- ...orts__20__metadata.json => Passports__23__metadata.json} | 6 +++--- ..._26__metadata.json => PurchaseOrders__29__metadata.json} | 6 +++--- ...eipts__27__metadata.json => Receipts__30__metadata.json} | 6 +++--- ...__metadata.json => RemittanceAdvices__22__metadata.json} | 6 +++--- ...tadata.json => UiPathDocumentOCR_CPU__15__metadata.json} | 6 +++--- ...__metadata.json => UiPathDocumentOCR__21__metadata.json} | 6 +++--- ...s__26__metadata.json => UtilityBills__29__metadata.json} | 6 +++--- ...__16__metadata.json => VehicleTitles__19__metadata.json} | 6 +++--- metadata/{W2__19__metadata.json => W2__22__metadata.json} | 6 +++--- metadata/{W9__19__metadata.json => W9__22__metadata.json} | 6 +++--- 33 files changed, 99 insertions(+), 99 deletions(-) rename metadata/{1040__16__metadata.json => 1040__19__metadata.json} (95%) rename metadata/{4506T__18__metadata.json => 4506T__21__metadata.json} (95%) rename metadata/{990__18__metadata.json => 990__21__metadata.json} (95%) rename metadata/{Acord125__18__metadata.json => Acord125__21__metadata.json} (95%) rename metadata/{Acord126__16__metadata.json => Acord126__19__metadata.json} (95%) rename metadata/{Acord131__16__metadata.json => Acord131__19__metadata.json} (95%) rename metadata/{Acord140__16__metadata.json => Acord140__19__metadata.json} (95%) rename metadata/{Acord25__16__metadata.json => Acord25__19__metadata.json} (95%) rename metadata/{AustralianInvoices__23__metadata.json => AustralianInvoices__26__metadata.json} (95%) rename metadata/{BankStatements__16__metadata.json => BankStatements__19__metadata.json} (95%) rename metadata/{BillsOfLading__16__metadata.json => BillsOfLading__19__metadata.json} (95%) rename metadata/{Checks__16__metadata.json => Checks__19__metadata.json} (95%) rename metadata/{DocumentClassifier__18__metadata.json => DocumentClassifier__21__metadata.json} (93%) rename metadata/{DocumentUnderstanding__27__metadata.json => DocumentUnderstanding__30__metadata.json} (95%) rename metadata/{FM1003__18__metadata.json => FM1003__21__metadata.json} (95%) rename metadata/{FinancialStatements__16__metadata.json => FinancialStatements__19__metadata.json} (95%) rename metadata/{I9__18__metadata.json => I9__21__metadata.json} (95%) rename metadata/{IDCards__20__metadata.json => IDCards__23__metadata.json} (95%) rename metadata/{IndianInvoices__26__metadata.json => IndianInvoices__29__metadata.json} (95%) rename metadata/{InvoicesChina__19__metadata.json => InvoicesChina__22__metadata.json} (95%) rename metadata/{Invoices__27__metadata.json => Invoices__30__metadata.json} (95%) rename metadata/{JapaneseInvoices__24__metadata.json => JapaneseInvoices__27__metadata.json} (95%) rename metadata/{PackingLists__16__metadata.json => PackingLists__19__metadata.json} (95%) rename metadata/{Passports__20__metadata.json => Passports__23__metadata.json} (95%) rename metadata/{PurchaseOrders__26__metadata.json => PurchaseOrders__29__metadata.json} (95%) rename metadata/{Receipts__27__metadata.json => Receipts__30__metadata.json} (95%) rename metadata/{RemittanceAdvices__19__metadata.json => RemittanceAdvices__22__metadata.json} (95%) rename metadata/{UiPathDocumentOCR_CPU__12__metadata.json => UiPathDocumentOCR_CPU__15__metadata.json} (95%) rename metadata/{UiPathDocumentOCR__18__metadata.json => UiPathDocumentOCR__21__metadata.json} (95%) rename metadata/{UtilityBills__26__metadata.json => UtilityBills__29__metadata.json} (95%) rename metadata/{VehicleTitles__16__metadata.json => VehicleTitles__19__metadata.json} (95%) rename metadata/{W2__19__metadata.json => W2__22__metadata.json} (95%) rename metadata/{W9__19__metadata.json => W9__22__metadata.json} (95%) diff --git a/metadata/1040__16__metadata.json b/metadata/1040__19__metadata.json similarity index 95% rename from metadata/1040__16__metadata.json rename to metadata/1040__19__metadata.json index 8194a5f5..ee9fa753 100644 --- a/metadata/1040__16__metadata.json +++ b/metadata/1040__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__18__metadata.json b/metadata/4506T__21__metadata.json similarity index 95% rename from metadata/4506T__18__metadata.json rename to metadata/4506T__21__metadata.json index a2646082..315f1bfd 100644 --- a/metadata/4506T__18__metadata.json +++ b/metadata/4506T__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 21, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__18__metadata.json b/metadata/990__21__metadata.json similarity index 95% rename from metadata/990__18__metadata.json rename to metadata/990__21__metadata.json index 6af3e912..13520ff9 100644 --- a/metadata/990__18__metadata.json +++ b/metadata/990__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 21, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__18__metadata.json b/metadata/Acord125__21__metadata.json similarity index 95% rename from metadata/Acord125__18__metadata.json rename to metadata/Acord125__21__metadata.json index 93ad1e03..4a0362b4 100644 --- a/metadata/Acord125__18__metadata.json +++ b/metadata/Acord125__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 21, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__16__metadata.json b/metadata/Acord126__19__metadata.json similarity index 95% rename from metadata/Acord126__16__metadata.json rename to metadata/Acord126__19__metadata.json index 7c8bf3f5..19dae17b 100644 --- a/metadata/Acord126__16__metadata.json +++ b/metadata/Acord126__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__16__metadata.json b/metadata/Acord131__19__metadata.json similarity index 95% rename from metadata/Acord131__16__metadata.json rename to metadata/Acord131__19__metadata.json index a9d94399..545e9d04 100644 --- a/metadata/Acord131__16__metadata.json +++ b/metadata/Acord131__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__16__metadata.json b/metadata/Acord140__19__metadata.json similarity index 95% rename from metadata/Acord140__16__metadata.json rename to metadata/Acord140__19__metadata.json index 4af36c3b..d4b54652 100644 --- a/metadata/Acord140__16__metadata.json +++ b/metadata/Acord140__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__16__metadata.json b/metadata/Acord25__19__metadata.json similarity index 95% rename from metadata/Acord25__16__metadata.json rename to metadata/Acord25__19__metadata.json index 472689d3..476764c8 100644 --- a/metadata/Acord25__16__metadata.json +++ b/metadata/Acord25__19__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__23__metadata.json b/metadata/AustralianInvoices__26__metadata.json similarity index 95% rename from metadata/AustralianInvoices__23__metadata.json rename to metadata/AustralianInvoices__26__metadata.json index f57bc43b..5667d2c5 100644 --- a/metadata/AustralianInvoices__23__metadata.json +++ b/metadata/AustralianInvoices__26__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 23, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 26, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__16__metadata.json b/metadata/BankStatements__19__metadata.json similarity index 95% rename from metadata/BankStatements__16__metadata.json rename to metadata/BankStatements__19__metadata.json index 2bf2acdd..90f78c3b 100644 --- a/metadata/BankStatements__16__metadata.json +++ b/metadata/BankStatements__19__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__16__metadata.json b/metadata/BillsOfLading__19__metadata.json similarity index 95% rename from metadata/BillsOfLading__16__metadata.json rename to metadata/BillsOfLading__19__metadata.json index 5beccd01..1d6542f3 100644 --- a/metadata/BillsOfLading__16__metadata.json +++ b/metadata/BillsOfLading__19__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__16__metadata.json b/metadata/Checks__19__metadata.json similarity index 95% rename from metadata/Checks__16__metadata.json rename to metadata/Checks__19__metadata.json index 6343b03f..0148428a 100644 --- a/metadata/Checks__16__metadata.json +++ b/metadata/Checks__19__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__18__metadata.json b/metadata/DocumentClassifier__21__metadata.json similarity index 93% rename from metadata/DocumentClassifier__18__metadata.json rename to metadata/DocumentClassifier__21__metadata.json index 77004960..fee6804d 100644 --- a/metadata/DocumentClassifier__18__metadata.json +++ b/metadata/DocumentClassifier__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-ml-document-type-text-classifier:v22.10.11-rc02", + "version": 21, + "customVersion": "22.10.12", + "imagePath": "du-ml-document-type-text-classifier:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__27__metadata.json b/metadata/DocumentUnderstanding__30__metadata.json similarity index 95% rename from metadata/DocumentUnderstanding__27__metadata.json rename to metadata/DocumentUnderstanding__30__metadata.json index bc84158a..ef1f6951 100644 --- a/metadata/DocumentUnderstanding__27__metadata.json +++ b/metadata/DocumentUnderstanding__30__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 27, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 30, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__18__metadata.json b/metadata/FM1003__21__metadata.json similarity index 95% rename from metadata/FM1003__18__metadata.json rename to metadata/FM1003__21__metadata.json index ddfd6162..32bf29db 100644 --- a/metadata/FM1003__18__metadata.json +++ b/metadata/FM1003__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 21, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__16__metadata.json b/metadata/FinancialStatements__19__metadata.json similarity index 95% rename from metadata/FinancialStatements__16__metadata.json rename to metadata/FinancialStatements__19__metadata.json index e1c9c9b9..f9a6698f 100644 --- a/metadata/FinancialStatements__16__metadata.json +++ b/metadata/FinancialStatements__19__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__18__metadata.json b/metadata/I9__21__metadata.json similarity index 95% rename from metadata/I9__18__metadata.json rename to metadata/I9__21__metadata.json index b9a8df91..5384d660 100644 --- a/metadata/I9__18__metadata.json +++ b/metadata/I9__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 21, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__20__metadata.json b/metadata/IDCards__23__metadata.json similarity index 95% rename from metadata/IDCards__20__metadata.json rename to metadata/IDCards__23__metadata.json index 528d903d..8580801e 100644 --- a/metadata/IDCards__20__metadata.json +++ b/metadata/IDCards__23__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 20, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 23, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__26__metadata.json b/metadata/IndianInvoices__29__metadata.json similarity index 95% rename from metadata/IndianInvoices__26__metadata.json rename to metadata/IndianInvoices__29__metadata.json index 9e386835..0e122556 100644 --- a/metadata/IndianInvoices__26__metadata.json +++ b/metadata/IndianInvoices__29__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 26, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 29, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__19__metadata.json b/metadata/InvoicesChina__22__metadata.json similarity index 95% rename from metadata/InvoicesChina__19__metadata.json rename to metadata/InvoicesChina__22__metadata.json index eac49d1b..4cdc894f 100644 --- a/metadata/InvoicesChina__19__metadata.json +++ b/metadata/InvoicesChina__22__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 19, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 22, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__27__metadata.json b/metadata/Invoices__30__metadata.json similarity index 95% rename from metadata/Invoices__27__metadata.json rename to metadata/Invoices__30__metadata.json index 93f7d78c..3393991c 100644 --- a/metadata/Invoices__27__metadata.json +++ b/metadata/Invoices__30__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 27, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 30, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__24__metadata.json b/metadata/JapaneseInvoices__27__metadata.json similarity index 95% rename from metadata/JapaneseInvoices__24__metadata.json rename to metadata/JapaneseInvoices__27__metadata.json index 72079838..32bba224 100644 --- a/metadata/JapaneseInvoices__24__metadata.json +++ b/metadata/JapaneseInvoices__27__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 24, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 27, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__16__metadata.json b/metadata/PackingLists__19__metadata.json similarity index 95% rename from metadata/PackingLists__16__metadata.json rename to metadata/PackingLists__19__metadata.json index 182af6d4..fdcb4a8c 100644 --- a/metadata/PackingLists__16__metadata.json +++ b/metadata/PackingLists__19__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__20__metadata.json b/metadata/Passports__23__metadata.json similarity index 95% rename from metadata/Passports__20__metadata.json rename to metadata/Passports__23__metadata.json index f5205eaf..3b685a6c 100644 --- a/metadata/Passports__20__metadata.json +++ b/metadata/Passports__23__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 20, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 23, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__26__metadata.json b/metadata/PurchaseOrders__29__metadata.json similarity index 95% rename from metadata/PurchaseOrders__26__metadata.json rename to metadata/PurchaseOrders__29__metadata.json index 53c9eedf..f3fa86e4 100644 --- a/metadata/PurchaseOrders__26__metadata.json +++ b/metadata/PurchaseOrders__29__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 26, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 29, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__27__metadata.json b/metadata/Receipts__30__metadata.json similarity index 95% rename from metadata/Receipts__27__metadata.json rename to metadata/Receipts__30__metadata.json index 4bbd45a0..e2b951e4 100644 --- a/metadata/Receipts__27__metadata.json +++ b/metadata/Receipts__30__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 27, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 30, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__19__metadata.json b/metadata/RemittanceAdvices__22__metadata.json similarity index 95% rename from metadata/RemittanceAdvices__19__metadata.json rename to metadata/RemittanceAdvices__22__metadata.json index 0ce80a3a..3df66c40 100644 --- a/metadata/RemittanceAdvices__19__metadata.json +++ b/metadata/RemittanceAdvices__22__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 19, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 22, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__12__metadata.json b/metadata/UiPathDocumentOCR_CPU__15__metadata.json similarity index 95% rename from metadata/UiPathDocumentOCR_CPU__12__metadata.json rename to metadata/UiPathDocumentOCR_CPU__15__metadata.json index ecbfb421..c0131b16 100644 --- a/metadata/UiPathDocumentOCR_CPU__12__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__15__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 12, - "customVersion": "22.10.11", - "imagePath": "du-doc-ocr-cpu:v22.10.11-rc02", + "version": 15, + "customVersion": "22.10.12", + "imagePath": "du-doc-ocr-cpu:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__18__metadata.json b/metadata/UiPathDocumentOCR__21__metadata.json similarity index 95% rename from metadata/UiPathDocumentOCR__18__metadata.json rename to metadata/UiPathDocumentOCR__21__metadata.json index 1da42e34..10de5992 100644 --- a/metadata/UiPathDocumentOCR__18__metadata.json +++ b/metadata/UiPathDocumentOCR__21__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-doc-ocr:v22.10.11-rc02", + "version": 21, + "customVersion": "22.10.12", + "imagePath": "du-doc-ocr:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__26__metadata.json b/metadata/UtilityBills__29__metadata.json similarity index 95% rename from metadata/UtilityBills__26__metadata.json rename to metadata/UtilityBills__29__metadata.json index 51c69a46..c3d887e8 100644 --- a/metadata/UtilityBills__26__metadata.json +++ b/metadata/UtilityBills__29__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 26, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 29, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__16__metadata.json b/metadata/VehicleTitles__19__metadata.json similarity index 95% rename from metadata/VehicleTitles__16__metadata.json rename to metadata/VehicleTitles__19__metadata.json index 1ebe8d69..00692194 100644 --- a/metadata/VehicleTitles__16__metadata.json +++ b/metadata/VehicleTitles__19__metadata.json @@ -18,9 +18,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 19, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__19__metadata.json b/metadata/W2__22__metadata.json similarity index 95% rename from metadata/W2__19__metadata.json rename to metadata/W2__22__metadata.json index 587da73a..4b28b852 100644 --- a/metadata/W2__19__metadata.json +++ b/metadata/W2__22__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 19, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 22, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__19__metadata.json b/metadata/W9__22__metadata.json similarity index 95% rename from metadata/W9__19__metadata.json rename to metadata/W9__22__metadata.json index c4741e68..ebfbff46 100644 --- a/metadata/W9__19__metadata.json +++ b/metadata/W9__22__metadata.json @@ -19,9 +19,9 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 19, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", + "version": 22, + "customVersion": "22.10.12", + "imagePath": "du-semistructured:v22.10.12-rc33", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From f892b819d11923ef10e482585f8f4ac961feea8c Mon Sep 17 00:00:00 2001 From: mihairaduvlad <146950610+mihairaduvlad@users.noreply.github.com> Date: Wed, 5 Jun 2024 14:36:13 +0100 Subject: [PATCH 186/267] Increase timeout (#290) --- metadata/ComputerVision__23100509__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/ComputerVision__23100509__metadata.json b/metadata/ComputerVision__23100509__metadata.json index 68925f65..a5a6c42c 100644 --- a/metadata/ComputerVision__23100509__metadata.json +++ b/metadata/ComputerVision__23100509__metadata.json @@ -22,5 +22,5 @@ "version": 23100509, "customVersion": "23.10.4", "imagePath": "cv2310:23.10.5.9", - "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" + "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From 5ee869aef6bfe0470f7749ab38b7587132bc34d8 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 29 Mar 2024 14:27:53 +0200 Subject: [PATCH 187/267] [DU] [ML] Release 23.10.3 --- metadata/1040ScheduleC__2__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleD__2__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleE__2__metadata.json | 34 +++++++++++++++++++ metadata/1040__14__metadata.json | 34 +++++++++++++++++++ metadata/4506T__16__metadata.json | 34 +++++++++++++++++++ metadata/990__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__14__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__14__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__14__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__14__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__7__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__7__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__7__metadata.json | 34 +++++++++++++++++++ metadata/Checks__14__metadata.json | 33 ++++++++++++++++++ ...ldrenProductCertificates__7__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__16__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__25__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__7__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__16__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__14__metadata.json | 33 ++++++++++++++++++ metadata/I9__16__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__18__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__24__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__17__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__7__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__25__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__22__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__14__metadata.json | 33 ++++++++++++++++++ metadata/Passports__18__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__7__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__24__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__25__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__17__metadata.json | 34 +++++++++++++++++++ metadata/UB04__2__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__24__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__14__metadata.json | 33 ++++++++++++++++++ metadata/W2__17__metadata.json | 34 +++++++++++++++++++ metadata/W9__17__metadata.json | 34 +++++++++++++++++++ 41 files changed, 1380 insertions(+) create mode 100644 metadata/1040ScheduleC__2__metadata.json create mode 100644 metadata/1040ScheduleD__2__metadata.json create mode 100644 metadata/1040ScheduleE__2__metadata.json create mode 100644 metadata/1040__14__metadata.json create mode 100644 metadata/4506T__16__metadata.json create mode 100644 metadata/990__16__metadata.json create mode 100644 metadata/Acord125__16__metadata.json create mode 100644 metadata/Acord126__14__metadata.json create mode 100644 metadata/Acord131__14__metadata.json create mode 100644 metadata/Acord140__14__metadata.json create mode 100644 metadata/Acord25__14__metadata.json create mode 100644 metadata/BankStatements__14__metadata.json create mode 100644 metadata/BillsOfLading__14__metadata.json create mode 100644 metadata/CMS1500__7__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__7__metadata.json create mode 100644 metadata/CertificatesOfOrigin__7__metadata.json create mode 100644 metadata/Checks__14__metadata.json create mode 100644 metadata/ChildrenProductCertificates__7__metadata.json create mode 100644 metadata/DocumentClassifier__16__metadata.json create mode 100644 metadata/DocumentUnderstanding__25__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__7__metadata.json create mode 100644 metadata/FM1003__16__metadata.json create mode 100644 metadata/FinancialStatements__14__metadata.json create mode 100644 metadata/I9__16__metadata.json create mode 100644 metadata/IDCards__18__metadata.json create mode 100644 metadata/IndianInvoices__24__metadata.json create mode 100644 metadata/InvoicesChina__17__metadata.json create mode 100644 metadata/InvoicesShipping__7__metadata.json create mode 100644 metadata/Invoices__25__metadata.json create mode 100644 metadata/JapaneseInvoices__22__metadata.json create mode 100644 metadata/PackingLists__14__metadata.json create mode 100644 metadata/Passports__18__metadata.json create mode 100644 metadata/Payslips__7__metadata.json create mode 100644 metadata/PurchaseOrders__24__metadata.json create mode 100644 metadata/Receipts__25__metadata.json create mode 100644 metadata/RemittanceAdvices__17__metadata.json create mode 100644 metadata/UB04__2__metadata.json create mode 100644 metadata/UtilityBills__24__metadata.json create mode 100644 metadata/VehicleTitles__14__metadata.json create mode 100644 metadata/W2__17__metadata.json create mode 100644 metadata/W9__17__metadata.json diff --git a/metadata/1040ScheduleC__2__metadata.json b/metadata/1040ScheduleC__2__metadata.json new file mode 100644 index 00000000..dba3596a --- /dev/null +++ b/metadata/1040ScheduleC__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} + diff --git a/metadata/1040ScheduleD__2__metadata.json b/metadata/1040ScheduleD__2__metadata.json new file mode 100644 index 00000000..30756685 --- /dev/null +++ b/metadata/1040ScheduleD__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} + diff --git a/metadata/1040ScheduleE__2__metadata.json b/metadata/1040ScheduleE__2__metadata.json new file mode 100644 index 00000000..d96d32d6 --- /dev/null +++ b/metadata/1040ScheduleE__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} + diff --git a/metadata/1040__14__metadata.json b/metadata/1040__14__metadata.json new file mode 100644 index 00000000..f2fdb6d2 --- /dev/null +++ b/metadata/1040__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__16__metadata.json b/metadata/4506T__16__metadata.json new file mode 100644 index 00000000..9415b140 --- /dev/null +++ b/metadata/4506T__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__16__metadata.json b/metadata/990__16__metadata.json new file mode 100644 index 00000000..64ea0577 --- /dev/null +++ b/metadata/990__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__16__metadata.json b/metadata/Acord125__16__metadata.json new file mode 100644 index 00000000..3c063d33 --- /dev/null +++ b/metadata/Acord125__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__14__metadata.json b/metadata/Acord126__14__metadata.json new file mode 100644 index 00000000..7c9e5f65 --- /dev/null +++ b/metadata/Acord126__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__14__metadata.json b/metadata/Acord131__14__metadata.json new file mode 100644 index 00000000..e771da53 --- /dev/null +++ b/metadata/Acord131__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__14__metadata.json b/metadata/Acord140__14__metadata.json new file mode 100644 index 00000000..3adfd0ac --- /dev/null +++ b/metadata/Acord140__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__14__metadata.json b/metadata/Acord25__14__metadata.json new file mode 100644 index 00000000..c5f74c53 --- /dev/null +++ b/metadata/Acord25__14__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/BankStatements__14__metadata.json b/metadata/BankStatements__14__metadata.json new file mode 100644 index 00000000..80205402 --- /dev/null +++ b/metadata/BankStatements__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__14__metadata.json b/metadata/BillsOfLading__14__metadata.json new file mode 100644 index 00000000..ca97aab5 --- /dev/null +++ b/metadata/BillsOfLading__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__7__metadata.json b/metadata/CMS1500__7__metadata.json new file mode 100644 index 00000000..b97c681e --- /dev/null +++ b/metadata/CMS1500__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__7__metadata.json b/metadata/CertificatesOfIncorporation__7__metadata.json new file mode 100644 index 00000000..cd161391 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__7__metadata.json b/metadata/CertificatesOfOrigin__7__metadata.json new file mode 100644 index 00000000..76599dca --- /dev/null +++ b/metadata/CertificatesOfOrigin__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__14__metadata.json b/metadata/Checks__14__metadata.json new file mode 100644 index 00000000..2c80fd6d --- /dev/null +++ b/metadata/Checks__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__7__metadata.json b/metadata/ChildrenProductCertificates__7__metadata.json new file mode 100644 index 00000000..edf2ebc6 --- /dev/null +++ b/metadata/ChildrenProductCertificates__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentClassifier__16__metadata.json b/metadata/DocumentClassifier__16__metadata.json new file mode 100644 index 00000000..43bcdc6c --- /dev/null +++ b/metadata/DocumentClassifier__16__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-ml-document-type-text-classifier:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__25__metadata.json b/metadata/DocumentUnderstanding__25__metadata.json new file mode 100644 index 00000000..6087fa55 --- /dev/null +++ b/metadata/DocumentUnderstanding__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__7__metadata.json b/metadata/EUDeclarationOfConformity__7__metadata.json new file mode 100644 index 00000000..6b23378a --- /dev/null +++ b/metadata/EUDeclarationOfConformity__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__16__metadata.json b/metadata/FM1003__16__metadata.json new file mode 100644 index 00000000..1d16c936 --- /dev/null +++ b/metadata/FM1003__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__14__metadata.json b/metadata/FinancialStatements__14__metadata.json new file mode 100644 index 00000000..3b4582b3 --- /dev/null +++ b/metadata/FinancialStatements__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__16__metadata.json b/metadata/I9__16__metadata.json new file mode 100644 index 00000000..a33f2183 --- /dev/null +++ b/metadata/I9__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__18__metadata.json b/metadata/IDCards__18__metadata.json new file mode 100644 index 00000000..1dd74662 --- /dev/null +++ b/metadata/IDCards__18__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__24__metadata.json b/metadata/IndianInvoices__24__metadata.json new file mode 100644 index 00000000..d8ba2444 --- /dev/null +++ b/metadata/IndianInvoices__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__17__metadata.json b/metadata/InvoicesChina__17__metadata.json new file mode 100644 index 00000000..70db49f4 --- /dev/null +++ b/metadata/InvoicesChina__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__7__metadata.json b/metadata/InvoicesShipping__7__metadata.json new file mode 100644 index 00000000..946e0069 --- /dev/null +++ b/metadata/InvoicesShipping__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__25__metadata.json b/metadata/Invoices__25__metadata.json new file mode 100644 index 00000000..2db10c65 --- /dev/null +++ b/metadata/Invoices__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__22__metadata.json b/metadata/JapaneseInvoices__22__metadata.json new file mode 100644 index 00000000..4eb7d141 --- /dev/null +++ b/metadata/JapaneseInvoices__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__14__metadata.json b/metadata/PackingLists__14__metadata.json new file mode 100644 index 00000000..1d5ac824 --- /dev/null +++ b/metadata/PackingLists__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__18__metadata.json b/metadata/Passports__18__metadata.json new file mode 100644 index 00000000..e9eb944f --- /dev/null +++ b/metadata/Passports__18__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__7__metadata.json b/metadata/Payslips__7__metadata.json new file mode 100644 index 00000000..4aec0259 --- /dev/null +++ b/metadata/Payslips__7__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__24__metadata.json b/metadata/PurchaseOrders__24__metadata.json new file mode 100644 index 00000000..681c73ae --- /dev/null +++ b/metadata/PurchaseOrders__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__25__metadata.json b/metadata/Receipts__25__metadata.json new file mode 100644 index 00000000..cdbc2331 --- /dev/null +++ b/metadata/Receipts__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__17__metadata.json b/metadata/RemittanceAdvices__17__metadata.json new file mode 100644 index 00000000..10d53ad0 --- /dev/null +++ b/metadata/RemittanceAdvices__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UB04__2__metadata.json b/metadata/UB04__2__metadata.json new file mode 100644 index 00000000..606d056b --- /dev/null +++ b/metadata/UB04__2__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} + diff --git a/metadata/UtilityBills__24__metadata.json b/metadata/UtilityBills__24__metadata.json new file mode 100644 index 00000000..bcf8e68c --- /dev/null +++ b/metadata/UtilityBills__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__14__metadata.json b/metadata/VehicleTitles__14__metadata.json new file mode 100644 index 00000000..27608d26 --- /dev/null +++ b/metadata/VehicleTitles__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__17__metadata.json b/metadata/W2__17__metadata.json new file mode 100644 index 00000000..e31bf37b --- /dev/null +++ b/metadata/W2__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__17__metadata.json b/metadata/W9__17__metadata.json new file mode 100644 index 00000000..31286557 --- /dev/null +++ b/metadata/W9__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.10.3", + "imagePath": "du-semistructured:v23.10.3-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From 512eb6f2616c87019c45a1d25cdbc78b85dbc6b3 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 29 Mar 2024 14:33:40 +0200 Subject: [PATCH 188/267] [DU] [ML] Release 23.4.6 --- metadata/1040__15__metadata.json | 34 +++++++++++++++++++ metadata/4506T__17__metadata.json | 34 +++++++++++++++++++ metadata/990__17__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__17__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__15__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__15__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__22__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__15__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__15__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__8__metadata.json | 34 +++++++++++++++++++ ...tificatesOfIncorporation__8__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__8__metadata.json | 34 +++++++++++++++++++ metadata/Checks__15__metadata.json | 33 ++++++++++++++++++ ...ldrenProductCertificates__8__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__17__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__26__metadata.json | 34 +++++++++++++++++++ ...UDeclarationOfConformity__8__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__17__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__15__metadata.json | 33 ++++++++++++++++++ metadata/I9__17__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__19__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__25__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__18__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__8__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__26__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__23__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__15__metadata.json | 33 ++++++++++++++++++ metadata/Passports__19__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__8__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__25__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__26__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__18__metadata.json | 34 +++++++++++++++++++ metadata/UtilityBills__25__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__15__metadata.json | 33 ++++++++++++++++++ metadata/W2__18__metadata.json | 34 +++++++++++++++++++ metadata/W9__18__metadata.json | 34 +++++++++++++++++++ 38 files changed, 1278 insertions(+) create mode 100644 metadata/1040__15__metadata.json create mode 100644 metadata/4506T__17__metadata.json create mode 100644 metadata/990__17__metadata.json create mode 100644 metadata/Acord125__17__metadata.json create mode 100644 metadata/Acord126__15__metadata.json create mode 100644 metadata/Acord131__15__metadata.json create mode 100644 metadata/Acord140__15__metadata.json create mode 100644 metadata/Acord25__15__metadata.json create mode 100644 metadata/AustralianInvoices__22__metadata.json create mode 100644 metadata/BankStatements__15__metadata.json create mode 100644 metadata/BillsOfLading__15__metadata.json create mode 100644 metadata/CMS1500__8__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__8__metadata.json create mode 100644 metadata/CertificatesOfOrigin__8__metadata.json create mode 100644 metadata/Checks__15__metadata.json create mode 100644 metadata/ChildrenProductCertificates__8__metadata.json create mode 100644 metadata/DocumentClassifier__17__metadata.json create mode 100644 metadata/DocumentUnderstanding__26__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__8__metadata.json create mode 100644 metadata/FM1003__17__metadata.json create mode 100644 metadata/FinancialStatements__15__metadata.json create mode 100644 metadata/I9__17__metadata.json create mode 100644 metadata/IDCards__19__metadata.json create mode 100644 metadata/IndianInvoices__25__metadata.json create mode 100644 metadata/InvoicesChina__18__metadata.json create mode 100644 metadata/InvoicesShipping__8__metadata.json create mode 100644 metadata/Invoices__26__metadata.json create mode 100644 metadata/JapaneseInvoices__23__metadata.json create mode 100644 metadata/PackingLists__15__metadata.json create mode 100644 metadata/Passports__19__metadata.json create mode 100644 metadata/Payslips__8__metadata.json create mode 100644 metadata/PurchaseOrders__25__metadata.json create mode 100644 metadata/Receipts__26__metadata.json create mode 100644 metadata/RemittanceAdvices__18__metadata.json create mode 100644 metadata/UtilityBills__25__metadata.json create mode 100644 metadata/VehicleTitles__15__metadata.json create mode 100644 metadata/W2__18__metadata.json create mode 100644 metadata/W9__18__metadata.json diff --git a/metadata/1040__15__metadata.json b/metadata/1040__15__metadata.json new file mode 100644 index 00000000..88d0c70b --- /dev/null +++ b/metadata/1040__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__17__metadata.json b/metadata/4506T__17__metadata.json new file mode 100644 index 00000000..870c77e4 --- /dev/null +++ b/metadata/4506T__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__17__metadata.json b/metadata/990__17__metadata.json new file mode 100644 index 00000000..7bd29cd8 --- /dev/null +++ b/metadata/990__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__17__metadata.json b/metadata/Acord125__17__metadata.json new file mode 100644 index 00000000..2d933074 --- /dev/null +++ b/metadata/Acord125__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__15__metadata.json b/metadata/Acord126__15__metadata.json new file mode 100644 index 00000000..ba522a37 --- /dev/null +++ b/metadata/Acord126__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__15__metadata.json b/metadata/Acord131__15__metadata.json new file mode 100644 index 00000000..0ad9f91d --- /dev/null +++ b/metadata/Acord131__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__15__metadata.json b/metadata/Acord140__15__metadata.json new file mode 100644 index 00000000..6163ba1e --- /dev/null +++ b/metadata/Acord140__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__15__metadata.json b/metadata/Acord25__15__metadata.json new file mode 100644 index 00000000..09af8de2 --- /dev/null +++ b/metadata/Acord25__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__22__metadata.json b/metadata/AustralianInvoices__22__metadata.json new file mode 100644 index 00000000..d3fc50a0 --- /dev/null +++ b/metadata/AustralianInvoices__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__15__metadata.json b/metadata/BankStatements__15__metadata.json new file mode 100644 index 00000000..b3f39e94 --- /dev/null +++ b/metadata/BankStatements__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__15__metadata.json b/metadata/BillsOfLading__15__metadata.json new file mode 100644 index 00000000..3a23feff --- /dev/null +++ b/metadata/BillsOfLading__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__8__metadata.json b/metadata/CMS1500__8__metadata.json new file mode 100644 index 00000000..e682614c --- /dev/null +++ b/metadata/CMS1500__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__8__metadata.json b/metadata/CertificatesOfIncorporation__8__metadata.json new file mode 100644 index 00000000..e639d5ae --- /dev/null +++ b/metadata/CertificatesOfIncorporation__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__8__metadata.json b/metadata/CertificatesOfOrigin__8__metadata.json new file mode 100644 index 00000000..705633e1 --- /dev/null +++ b/metadata/CertificatesOfOrigin__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__15__metadata.json b/metadata/Checks__15__metadata.json new file mode 100644 index 00000000..cdf3ea99 --- /dev/null +++ b/metadata/Checks__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__8__metadata.json b/metadata/ChildrenProductCertificates__8__metadata.json new file mode 100644 index 00000000..9f025cc3 --- /dev/null +++ b/metadata/ChildrenProductCertificates__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentClassifier__17__metadata.json b/metadata/DocumentClassifier__17__metadata.json new file mode 100644 index 00000000..9a171ec8 --- /dev/null +++ b/metadata/DocumentClassifier__17__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-ml-document-type-text-classifier:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__26__metadata.json b/metadata/DocumentUnderstanding__26__metadata.json new file mode 100644 index 00000000..c301e356 --- /dev/null +++ b/metadata/DocumentUnderstanding__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__8__metadata.json b/metadata/EUDeclarationOfConformity__8__metadata.json new file mode 100644 index 00000000..6aa4ca4f --- /dev/null +++ b/metadata/EUDeclarationOfConformity__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__17__metadata.json b/metadata/FM1003__17__metadata.json new file mode 100644 index 00000000..d0adec1c --- /dev/null +++ b/metadata/FM1003__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__15__metadata.json b/metadata/FinancialStatements__15__metadata.json new file mode 100644 index 00000000..3d067430 --- /dev/null +++ b/metadata/FinancialStatements__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__17__metadata.json b/metadata/I9__17__metadata.json new file mode 100644 index 00000000..7d5147d6 --- /dev/null +++ b/metadata/I9__17__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__19__metadata.json b/metadata/IDCards__19__metadata.json new file mode 100644 index 00000000..81d08492 --- /dev/null +++ b/metadata/IDCards__19__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__25__metadata.json b/metadata/IndianInvoices__25__metadata.json new file mode 100644 index 00000000..1d2fd7bf --- /dev/null +++ b/metadata/IndianInvoices__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__18__metadata.json b/metadata/InvoicesChina__18__metadata.json new file mode 100644 index 00000000..5665eef3 --- /dev/null +++ b/metadata/InvoicesChina__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__8__metadata.json b/metadata/InvoicesShipping__8__metadata.json new file mode 100644 index 00000000..0f08580f --- /dev/null +++ b/metadata/InvoicesShipping__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__26__metadata.json b/metadata/Invoices__26__metadata.json new file mode 100644 index 00000000..914ea0e5 --- /dev/null +++ b/metadata/Invoices__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__23__metadata.json b/metadata/JapaneseInvoices__23__metadata.json new file mode 100644 index 00000000..2a7b0ace --- /dev/null +++ b/metadata/JapaneseInvoices__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__15__metadata.json b/metadata/PackingLists__15__metadata.json new file mode 100644 index 00000000..3a15925c --- /dev/null +++ b/metadata/PackingLists__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__19__metadata.json b/metadata/Passports__19__metadata.json new file mode 100644 index 00000000..8bf4aa8b --- /dev/null +++ b/metadata/Passports__19__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__8__metadata.json b/metadata/Payslips__8__metadata.json new file mode 100644 index 00000000..89ee59dc --- /dev/null +++ b/metadata/Payslips__8__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__25__metadata.json b/metadata/PurchaseOrders__25__metadata.json new file mode 100644 index 00000000..a5cefd65 --- /dev/null +++ b/metadata/PurchaseOrders__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__26__metadata.json b/metadata/Receipts__26__metadata.json new file mode 100644 index 00000000..666bd3bc --- /dev/null +++ b/metadata/Receipts__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__18__metadata.json b/metadata/RemittanceAdvices__18__metadata.json new file mode 100644 index 00000000..ec73ef8c --- /dev/null +++ b/metadata/RemittanceAdvices__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UtilityBills__25__metadata.json b/metadata/UtilityBills__25__metadata.json new file mode 100644 index 00000000..2d04dba5 --- /dev/null +++ b/metadata/UtilityBills__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__15__metadata.json b/metadata/VehicleTitles__15__metadata.json new file mode 100644 index 00000000..1c4fe622 --- /dev/null +++ b/metadata/VehicleTitles__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__18__metadata.json b/metadata/W2__18__metadata.json new file mode 100644 index 00000000..42e9e60a --- /dev/null +++ b/metadata/W2__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__18__metadata.json b/metadata/W9__18__metadata.json new file mode 100644 index 00000000..d957858c --- /dev/null +++ b/metadata/W9__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.4.6", + "imagePath": "du-semistructured:v23.4.5-rc83", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From 4e563fcbbd7949e430990a9c970f06c6134bbe9f Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 29 Mar 2024 14:42:41 +0200 Subject: [PATCH 189/267] [DU] [ML] Release 22.10.11 --- metadata/1040__16__metadata.json | 34 +++++++++++++++++++ metadata/4506T__18__metadata.json | 34 +++++++++++++++++++ metadata/990__18__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__18__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__16__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__16__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__23__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__16__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__16__metadata.json | 33 ++++++++++++++++++ metadata/Checks__16__metadata.json | 33 ++++++++++++++++++ .../DocumentClassifier__18__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__27__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__18__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__16__metadata.json | 33 ++++++++++++++++++ metadata/I9__18__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__20__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__26__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__19__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__27__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__24__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__16__metadata.json | 33 ++++++++++++++++++ metadata/Passports__20__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__26__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__27__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__19__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__12__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__18__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__26__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__16__metadata.json | 33 ++++++++++++++++++ metadata/W2__19__metadata.json | 34 +++++++++++++++++++ metadata/W9__19__metadata.json | 34 +++++++++++++++++++ 33 files changed, 1094 insertions(+) create mode 100644 metadata/1040__16__metadata.json create mode 100644 metadata/4506T__18__metadata.json create mode 100644 metadata/990__18__metadata.json create mode 100644 metadata/Acord125__18__metadata.json create mode 100644 metadata/Acord126__16__metadata.json create mode 100644 metadata/Acord131__16__metadata.json create mode 100644 metadata/Acord140__16__metadata.json create mode 100644 metadata/Acord25__16__metadata.json create mode 100644 metadata/AustralianInvoices__23__metadata.json create mode 100644 metadata/BankStatements__16__metadata.json create mode 100644 metadata/BillsOfLading__16__metadata.json create mode 100644 metadata/Checks__16__metadata.json create mode 100644 metadata/DocumentClassifier__18__metadata.json create mode 100644 metadata/DocumentUnderstanding__27__metadata.json create mode 100644 metadata/FM1003__18__metadata.json create mode 100644 metadata/FinancialStatements__16__metadata.json create mode 100644 metadata/I9__18__metadata.json create mode 100644 metadata/IDCards__20__metadata.json create mode 100644 metadata/IndianInvoices__26__metadata.json create mode 100644 metadata/InvoicesChina__19__metadata.json create mode 100644 metadata/Invoices__27__metadata.json create mode 100644 metadata/JapaneseInvoices__24__metadata.json create mode 100644 metadata/PackingLists__16__metadata.json create mode 100644 metadata/Passports__20__metadata.json create mode 100644 metadata/PurchaseOrders__26__metadata.json create mode 100644 metadata/Receipts__27__metadata.json create mode 100644 metadata/RemittanceAdvices__19__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__12__metadata.json create mode 100644 metadata/UiPathDocumentOCR__18__metadata.json create mode 100644 metadata/UtilityBills__26__metadata.json create mode 100644 metadata/VehicleTitles__16__metadata.json create mode 100644 metadata/W2__19__metadata.json create mode 100644 metadata/W9__19__metadata.json diff --git a/metadata/1040__16__metadata.json b/metadata/1040__16__metadata.json new file mode 100644 index 00000000..8194a5f5 --- /dev/null +++ b/metadata/1040__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__18__metadata.json b/metadata/4506T__18__metadata.json new file mode 100644 index 00000000..a2646082 --- /dev/null +++ b/metadata/4506T__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__18__metadata.json b/metadata/990__18__metadata.json new file mode 100644 index 00000000..6af3e912 --- /dev/null +++ b/metadata/990__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__18__metadata.json b/metadata/Acord125__18__metadata.json new file mode 100644 index 00000000..93ad1e03 --- /dev/null +++ b/metadata/Acord125__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__16__metadata.json b/metadata/Acord126__16__metadata.json new file mode 100644 index 00000000..7c8bf3f5 --- /dev/null +++ b/metadata/Acord126__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__16__metadata.json b/metadata/Acord131__16__metadata.json new file mode 100644 index 00000000..a9d94399 --- /dev/null +++ b/metadata/Acord131__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__16__metadata.json b/metadata/Acord140__16__metadata.json new file mode 100644 index 00000000..4af36c3b --- /dev/null +++ b/metadata/Acord140__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__16__metadata.json b/metadata/Acord25__16__metadata.json new file mode 100644 index 00000000..472689d3 --- /dev/null +++ b/metadata/Acord25__16__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/AustralianInvoices__23__metadata.json b/metadata/AustralianInvoices__23__metadata.json new file mode 100644 index 00000000..f57bc43b --- /dev/null +++ b/metadata/AustralianInvoices__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} + diff --git a/metadata/BankStatements__16__metadata.json b/metadata/BankStatements__16__metadata.json new file mode 100644 index 00000000..2bf2acdd --- /dev/null +++ b/metadata/BankStatements__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__16__metadata.json b/metadata/BillsOfLading__16__metadata.json new file mode 100644 index 00000000..5beccd01 --- /dev/null +++ b/metadata/BillsOfLading__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/Checks__16__metadata.json b/metadata/Checks__16__metadata.json new file mode 100644 index 00000000..6343b03f --- /dev/null +++ b/metadata/Checks__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/DocumentClassifier__18__metadata.json b/metadata/DocumentClassifier__18__metadata.json new file mode 100644 index 00000000..77004960 --- /dev/null +++ b/metadata/DocumentClassifier__18__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-ml-document-type-text-classifier:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__27__metadata.json b/metadata/DocumentUnderstanding__27__metadata.json new file mode 100644 index 00000000..bc84158a --- /dev/null +++ b/metadata/DocumentUnderstanding__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/FM1003__18__metadata.json b/metadata/FM1003__18__metadata.json new file mode 100644 index 00000000..ddfd6162 --- /dev/null +++ b/metadata/FM1003__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__16__metadata.json b/metadata/FinancialStatements__16__metadata.json new file mode 100644 index 00000000..e1c9c9b9 --- /dev/null +++ b/metadata/FinancialStatements__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__18__metadata.json b/metadata/I9__18__metadata.json new file mode 100644 index 00000000..b9a8df91 --- /dev/null +++ b/metadata/I9__18__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__20__metadata.json b/metadata/IDCards__20__metadata.json new file mode 100644 index 00000000..528d903d --- /dev/null +++ b/metadata/IDCards__20__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__26__metadata.json b/metadata/IndianInvoices__26__metadata.json new file mode 100644 index 00000000..9e386835 --- /dev/null +++ b/metadata/IndianInvoices__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__19__metadata.json b/metadata/InvoicesChina__19__metadata.json new file mode 100644 index 00000000..eac49d1b --- /dev/null +++ b/metadata/InvoicesChina__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/Invoices__27__metadata.json b/metadata/Invoices__27__metadata.json new file mode 100644 index 00000000..93f7d78c --- /dev/null +++ b/metadata/Invoices__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__24__metadata.json b/metadata/JapaneseInvoices__24__metadata.json new file mode 100644 index 00000000..72079838 --- /dev/null +++ b/metadata/JapaneseInvoices__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__16__metadata.json b/metadata/PackingLists__16__metadata.json new file mode 100644 index 00000000..182af6d4 --- /dev/null +++ b/metadata/PackingLists__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__20__metadata.json b/metadata/Passports__20__metadata.json new file mode 100644 index 00000000..f5205eaf --- /dev/null +++ b/metadata/Passports__20__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/PurchaseOrders__26__metadata.json b/metadata/PurchaseOrders__26__metadata.json new file mode 100644 index 00000000..53c9eedf --- /dev/null +++ b/metadata/PurchaseOrders__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__27__metadata.json b/metadata/Receipts__27__metadata.json new file mode 100644 index 00000000..4bbd45a0 --- /dev/null +++ b/metadata/Receipts__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__19__metadata.json b/metadata/RemittanceAdvices__19__metadata.json new file mode 100644 index 00000000..0ce80a3a --- /dev/null +++ b/metadata/RemittanceAdvices__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR_CPU__12__metadata.json b/metadata/UiPathDocumentOCR_CPU__12__metadata.json new file mode 100644 index 00000000..ecbfb421 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__12__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "22.10.11", + "imagePath": "du-doc-ocr-cpu:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UiPathDocumentOCR__18__metadata.json b/metadata/UiPathDocumentOCR__18__metadata.json new file mode 100644 index 00000000..1da42e34 --- /dev/null +++ b/metadata/UiPathDocumentOCR__18__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "22.10.11", + "imagePath": "du-doc-ocr:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__26__metadata.json b/metadata/UtilityBills__26__metadata.json new file mode 100644 index 00000000..51c69a46 --- /dev/null +++ b/metadata/UtilityBills__26__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__16__metadata.json b/metadata/VehicleTitles__16__metadata.json new file mode 100644 index 00000000..1ebe8d69 --- /dev/null +++ b/metadata/VehicleTitles__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__19__metadata.json b/metadata/W2__19__metadata.json new file mode 100644 index 00000000..587da73a --- /dev/null +++ b/metadata/W2__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__19__metadata.json b/metadata/W9__19__metadata.json new file mode 100644 index 00000000..c4741e68 --- /dev/null +++ b/metadata/W9__19__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.11", + "imagePath": "du-semistructured:v22.10.11-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} + From 8380460d3d6351086445f0f4dcaec129f4d16bc8 Mon Sep 17 00:00:00 2001 From: Adrian Nicolae Popa Date: Thu, 20 Jun 2024 09:44:43 +0300 Subject: [PATCH 190/267] Bring back OCR 23.4.0 metadatas --- .../UiPathDocumentOCR_CPU__6__metadata.json | 26 +++++++++++++++++++ metadata/UiPathDocumentOCR__11__metadata.json | 26 +++++++++++++++++++ 2 files changed, 52 insertions(+) create mode 100644 metadata/UiPathDocumentOCR_CPU__6__metadata.json create mode 100644 metadata/UiPathDocumentOCR__11__metadata.json diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__6__metadata.json new file mode 100644 index 00000000..2ce70314 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__6__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "23.4.0", + "imagePath": "du-doc-ocr-cpu:v23.4.0-rc70", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__11__metadata.json b/metadata/UiPathDocumentOCR__11__metadata.json new file mode 100644 index 00000000..66d3b7c3 --- /dev/null +++ b/metadata/UiPathDocumentOCR__11__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.4.0", + "imagePath": "du-doc-ocr:v23.4.0-rc70", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} \ No newline at end of file From 5228403923e65727150f26eb81bf5fae56908a88 Mon Sep 17 00:00:00 2001 From: Adrian Nicolae Popa Date: Tue, 25 Jun 2024 08:42:23 +0300 Subject: [PATCH 191/267] ACTV-72472 Update bundle versions in metadatas --- metadata/1040ScheduleC__3__metadata.json | 2 +- metadata/1040ScheduleD__3__metadata.json | 2 +- metadata/1040ScheduleE__3__metadata.json | 2 +- metadata/1040__17__metadata.json | 2 +- metadata/4506T__19__metadata.json | 2 +- metadata/990__19__metadata.json | 2 +- metadata/Acord125__19__metadata.json | 2 +- metadata/Acord126__17__metadata.json | 2 +- metadata/Acord131__17__metadata.json | 2 +- metadata/Acord140__17__metadata.json | 2 +- metadata/Acord25__17__metadata.json | 2 +- metadata/BankStatements__17__metadata.json | 2 +- metadata/BillsOfLading__17__metadata.json | 2 +- metadata/CMS1500__9__metadata.json | 2 +- metadata/CertificatesOfIncorporation__9__metadata.json | 2 +- metadata/CertificatesOfOrigin__9__metadata.json | 2 +- metadata/Checks__17__metadata.json | 2 +- metadata/ChildrenProductCertificates__9__metadata.json | 2 +- metadata/DocumentClassifier__19__metadata.json | 2 +- metadata/DocumentUnderstanding__28__metadata.json | 2 +- metadata/EUDeclarationOfConformity__9__metadata.json | 2 +- metadata/FM1003__19__metadata.json | 2 +- metadata/FinancialStatements__17__metadata.json | 2 +- metadata/I9__19__metadata.json | 2 +- metadata/IDCards__21__metadata.json | 2 +- metadata/IndianInvoices__27__metadata.json | 2 +- metadata/InvoicesChina__20__metadata.json | 2 +- metadata/InvoicesShipping__9__metadata.json | 2 +- metadata/Invoices__28__metadata.json | 2 +- metadata/JapaneseInvoices__25__metadata.json | 2 +- metadata/PackingLists__17__metadata.json | 2 +- metadata/Passports__21__metadata.json | 2 +- metadata/Payslips__9__metadata.json | 2 +- metadata/PurchaseOrders__27__metadata.json | 2 +- metadata/Receipts__28__metadata.json | 2 +- metadata/RemittanceAdvices__20__metadata.json | 2 +- metadata/UB04__3__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__13__metadata.json | 2 +- metadata/UiPathDocumentOCR__19__metadata.json | 2 +- metadata/UtilityBills__27__metadata.json | 2 +- metadata/VehicleTitles__17__metadata.json | 2 +- metadata/W2__20__metadata.json | 2 +- metadata/W9__20__metadata.json | 2 +- 43 files changed, 43 insertions(+), 43 deletions(-) diff --git a/metadata/1040ScheduleC__3__metadata.json b/metadata/1040ScheduleC__3__metadata.json index 83d43fda..1cc938d4 100644 --- a/metadata/1040ScheduleC__3__metadata.json +++ b/metadata/1040ScheduleC__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__3__metadata.json b/metadata/1040ScheduleD__3__metadata.json index ad7bb9cb..c20f2105 100644 --- a/metadata/1040ScheduleD__3__metadata.json +++ b/metadata/1040ScheduleD__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__3__metadata.json b/metadata/1040ScheduleE__3__metadata.json index e072b42d..90b784e4 100644 --- a/metadata/1040ScheduleE__3__metadata.json +++ b/metadata/1040ScheduleE__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__17__metadata.json b/metadata/1040__17__metadata.json index dc86764d..4807999e 100644 --- a/metadata/1040__17__metadata.json +++ b/metadata/1040__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__19__metadata.json b/metadata/4506T__19__metadata.json index 2c52f33a..778e6d83 100644 --- a/metadata/4506T__19__metadata.json +++ b/metadata/4506T__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__19__metadata.json b/metadata/990__19__metadata.json index b687a308..98372227 100644 --- a/metadata/990__19__metadata.json +++ b/metadata/990__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__19__metadata.json b/metadata/Acord125__19__metadata.json index ed8b4daf..51ee8469 100644 --- a/metadata/Acord125__19__metadata.json +++ b/metadata/Acord125__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__17__metadata.json b/metadata/Acord126__17__metadata.json index 15f21ad0..9e825a9d 100644 --- a/metadata/Acord126__17__metadata.json +++ b/metadata/Acord126__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__17__metadata.json b/metadata/Acord131__17__metadata.json index 78f46f0e..ad739665 100644 --- a/metadata/Acord131__17__metadata.json +++ b/metadata/Acord131__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__17__metadata.json b/metadata/Acord140__17__metadata.json index fc639e6f..f9483c9c 100644 --- a/metadata/Acord140__17__metadata.json +++ b/metadata/Acord140__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__17__metadata.json b/metadata/Acord25__17__metadata.json index 817ddcd6..822c1b45 100644 --- a/metadata/Acord25__17__metadata.json +++ b/metadata/Acord25__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__17__metadata.json b/metadata/BankStatements__17__metadata.json index ce8dd861..1e595437 100644 --- a/metadata/BankStatements__17__metadata.json +++ b/metadata/BankStatements__17__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__17__metadata.json b/metadata/BillsOfLading__17__metadata.json index 024a5930..ea352b56 100644 --- a/metadata/BillsOfLading__17__metadata.json +++ b/metadata/BillsOfLading__17__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__9__metadata.json b/metadata/CMS1500__9__metadata.json index d9477b09..4a6cf95b 100644 --- a/metadata/CMS1500__9__metadata.json +++ b/metadata/CMS1500__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__9__metadata.json b/metadata/CertificatesOfIncorporation__9__metadata.json index 1c102e5d..0ae87cde 100644 --- a/metadata/CertificatesOfIncorporation__9__metadata.json +++ b/metadata/CertificatesOfIncorporation__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__9__metadata.json b/metadata/CertificatesOfOrigin__9__metadata.json index 0d1660f2..169b9a82 100644 --- a/metadata/CertificatesOfOrigin__9__metadata.json +++ b/metadata/CertificatesOfOrigin__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__17__metadata.json b/metadata/Checks__17__metadata.json index f66f0004..5c1f93d9 100644 --- a/metadata/Checks__17__metadata.json +++ b/metadata/Checks__17__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__9__metadata.json b/metadata/ChildrenProductCertificates__9__metadata.json index ac810d0f..20600ff1 100644 --- a/metadata/ChildrenProductCertificates__9__metadata.json +++ b/metadata/ChildrenProductCertificates__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__19__metadata.json b/metadata/DocumentClassifier__19__metadata.json index 7536852d..a2dab22f 100644 --- a/metadata/DocumentClassifier__19__metadata.json +++ b/metadata/DocumentClassifier__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.4", - "imagePath": "du-ml-document-type-text-classifier:v23.10.4-rc93", + "imagePath": "du-ml-document-type-text-classifier:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__28__metadata.json b/metadata/DocumentUnderstanding__28__metadata.json index b96a9268..5a3470b6 100644 --- a/metadata/DocumentUnderstanding__28__metadata.json +++ b/metadata/DocumentUnderstanding__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__9__metadata.json b/metadata/EUDeclarationOfConformity__9__metadata.json index 89eca137..ad1a978d 100644 --- a/metadata/EUDeclarationOfConformity__9__metadata.json +++ b/metadata/EUDeclarationOfConformity__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__19__metadata.json b/metadata/FM1003__19__metadata.json index b3ab4629..42ac7873 100644 --- a/metadata/FM1003__19__metadata.json +++ b/metadata/FM1003__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__17__metadata.json b/metadata/FinancialStatements__17__metadata.json index ca382acb..f2f98c34 100644 --- a/metadata/FinancialStatements__17__metadata.json +++ b/metadata/FinancialStatements__17__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__19__metadata.json b/metadata/I9__19__metadata.json index 658f1e88..67746d8d 100644 --- a/metadata/I9__19__metadata.json +++ b/metadata/I9__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__21__metadata.json b/metadata/IDCards__21__metadata.json index 4378a55d..f182e36c 100644 --- a/metadata/IDCards__21__metadata.json +++ b/metadata/IDCards__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__27__metadata.json b/metadata/IndianInvoices__27__metadata.json index 60c1c4c7..53bdf247 100644 --- a/metadata/IndianInvoices__27__metadata.json +++ b/metadata/IndianInvoices__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__20__metadata.json b/metadata/InvoicesChina__20__metadata.json index b1bf1ab7..d9ae6d23 100644 --- a/metadata/InvoicesChina__20__metadata.json +++ b/metadata/InvoicesChina__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__9__metadata.json b/metadata/InvoicesShipping__9__metadata.json index d0d51720..bdaca591 100644 --- a/metadata/InvoicesShipping__9__metadata.json +++ b/metadata/InvoicesShipping__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__28__metadata.json b/metadata/Invoices__28__metadata.json index 6f32cc1b..94e11e5e 100644 --- a/metadata/Invoices__28__metadata.json +++ b/metadata/Invoices__28__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__25__metadata.json b/metadata/JapaneseInvoices__25__metadata.json index 2e537389..c205937c 100644 --- a/metadata/JapaneseInvoices__25__metadata.json +++ b/metadata/JapaneseInvoices__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__17__metadata.json b/metadata/PackingLists__17__metadata.json index 0dec7891..5c5ea7b4 100644 --- a/metadata/PackingLists__17__metadata.json +++ b/metadata/PackingLists__17__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__21__metadata.json b/metadata/Passports__21__metadata.json index 60a72034..c6c3ea46 100644 --- a/metadata/Passports__21__metadata.json +++ b/metadata/Passports__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__9__metadata.json b/metadata/Payslips__9__metadata.json index 17a9ceb1..40b461b3 100644 --- a/metadata/Payslips__9__metadata.json +++ b/metadata/Payslips__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__27__metadata.json b/metadata/PurchaseOrders__27__metadata.json index 51aa56d4..d3e88c0c 100644 --- a/metadata/PurchaseOrders__27__metadata.json +++ b/metadata/PurchaseOrders__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__28__metadata.json b/metadata/Receipts__28__metadata.json index c34b3294..339bb142 100644 --- a/metadata/Receipts__28__metadata.json +++ b/metadata/Receipts__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__20__metadata.json b/metadata/RemittanceAdvices__20__metadata.json index c8312e02..6464c915 100644 --- a/metadata/RemittanceAdvices__20__metadata.json +++ b/metadata/RemittanceAdvices__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__3__metadata.json b/metadata/UB04__3__metadata.json index c1bfac97..ff2d0866 100644 --- a/metadata/UB04__3__metadata.json +++ b/metadata/UB04__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__13__metadata.json b/metadata/UiPathDocumentOCR_CPU__13__metadata.json index 920b3f40..c5537a45 100644 --- a/metadata/UiPathDocumentOCR_CPU__13__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.4", - "imagePath": "du-doc-ocr-cpu:v23.10.4-rc93", + "imagePath": "du-doc-ocr-cpu:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__19__metadata.json b/metadata/UiPathDocumentOCR__19__metadata.json index 7d1c3623..b7a0edf3 100644 --- a/metadata/UiPathDocumentOCR__19__metadata.json +++ b/metadata/UiPathDocumentOCR__19__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 19, "customVersion": "23.10.4", - "imagePath": "du-doc-ocr:v23.10.4-rc93", + "imagePath": "du-doc-ocr:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__27__metadata.json b/metadata/UtilityBills__27__metadata.json index 3051cc0a..94988548 100644 --- a/metadata/UtilityBills__27__metadata.json +++ b/metadata/UtilityBills__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__17__metadata.json b/metadata/VehicleTitles__17__metadata.json index ea0ef307..7ecfd4d0 100644 --- a/metadata/VehicleTitles__17__metadata.json +++ b/metadata/VehicleTitles__17__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc93", + "imagePath": "du-semistructured:v23.10.4-rc125", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__20__metadata.json b/metadata/W2__20__metadata.json index b7fd72f3..5763df20 100644 --- a/metadata/W2__20__metadata.json +++ b/metadata/W2__20__metadata.json @@ -21,7 +21,7 @@ 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$folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$oldCustomVersion = '23.10.2' +$oldCustomVersion = '23.4.7' # Set the new custom version number -$newCustomVersion = '23.10.3' +$newCustomVersion = '23.4.8' # Set the text to be replaced and the replacement text -$oldText = 'du-semistructured:v23.10.2-rc22' -$newText = 'du-semistructured:v23.10.3-rc04' +$oldText = 'du-semistructured:v23.4.7-rc35' +$newText = 'du-semistructured:v23.4.7-rc64' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 98bc3a7bafbd5c7b20f8d51f5b94c0a9933d319e Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Thu, 1 Aug 2024 10:32:51 +0300 Subject: [PATCH 193/267] Add 23.10.5 DU ML models --- metadata/1040ScheduleC__4__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleD__4__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleE__4__metadata.json | 34 +++++++++++++++++++ metadata/1040__22__metadata.json | 34 +++++++++++++++++++ metadata/4506T__24__metadata.json | 34 +++++++++++++++++++ metadata/990__24__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__24__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__22__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__22__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__22__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__22__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__22__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__22__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__12__metadata.json | 34 +++++++++++++++++++ ...ificatesOfIncorporation__12__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__12__metadata.json | 34 +++++++++++++++++++ metadata/Checks__22__metadata.json | 33 ++++++++++++++++++ ...drenProductCertificates__12__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__24__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__33__metadata.json | 34 +++++++++++++++++++ ...DeclarationOfConformity__12__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__24__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__22__metadata.json | 33 ++++++++++++++++++ metadata/I9__24__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__26__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__32__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__25__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__12__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__33__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__30__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__22__metadata.json | 33 ++++++++++++++++++ metadata/Passports__26__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__12__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__32__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__33__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__25__metadata.json | 34 +++++++++++++++++++ metadata/UB04__4__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__18__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__24__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__32__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__22__metadata.json | 33 ++++++++++++++++++ metadata/W2__25__metadata.json | 34 +++++++++++++++++++ metadata/W9__25__metadata.json | 34 +++++++++++++++++++ 43 files changed, 1434 insertions(+) create mode 100644 metadata/1040ScheduleC__4__metadata.json create mode 100644 metadata/1040ScheduleD__4__metadata.json create mode 100644 metadata/1040ScheduleE__4__metadata.json create mode 100644 metadata/1040__22__metadata.json create mode 100644 metadata/4506T__24__metadata.json create mode 100644 metadata/990__24__metadata.json create mode 100644 metadata/Acord125__24__metadata.json create mode 100644 metadata/Acord126__22__metadata.json create mode 100644 metadata/Acord131__22__metadata.json create mode 100644 metadata/Acord140__22__metadata.json create mode 100644 metadata/Acord25__22__metadata.json create mode 100644 metadata/BankStatements__22__metadata.json create mode 100644 metadata/BillsOfLading__22__metadata.json create mode 100644 metadata/CMS1500__12__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__12__metadata.json create mode 100644 metadata/CertificatesOfOrigin__12__metadata.json create mode 100644 metadata/Checks__22__metadata.json create mode 100644 metadata/ChildrenProductCertificates__12__metadata.json create mode 100644 metadata/DocumentClassifier__24__metadata.json create mode 100644 metadata/DocumentUnderstanding__33__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__12__metadata.json create mode 100644 metadata/FM1003__24__metadata.json create mode 100644 metadata/FinancialStatements__22__metadata.json create mode 100644 metadata/I9__24__metadata.json create mode 100644 metadata/IDCards__26__metadata.json create mode 100644 metadata/IndianInvoices__32__metadata.json create mode 100644 metadata/InvoicesChina__25__metadata.json create mode 100644 metadata/InvoicesShipping__12__metadata.json create mode 100644 metadata/Invoices__33__metadata.json create mode 100644 metadata/JapaneseInvoices__30__metadata.json create mode 100644 metadata/PackingLists__22__metadata.json create mode 100644 metadata/Passports__26__metadata.json create mode 100644 metadata/Payslips__12__metadata.json create mode 100644 metadata/PurchaseOrders__32__metadata.json create mode 100644 metadata/Receipts__33__metadata.json create mode 100644 metadata/RemittanceAdvices__25__metadata.json create mode 100644 metadata/UB04__4__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__18__metadata.json create mode 100644 metadata/UiPathDocumentOCR__24__metadata.json create mode 100644 metadata/UtilityBills__32__metadata.json create mode 100644 metadata/VehicleTitles__22__metadata.json create mode 100644 metadata/W2__25__metadata.json create mode 100644 metadata/W9__25__metadata.json diff --git a/metadata/1040ScheduleC__4__metadata.json b/metadata/1040ScheduleC__4__metadata.json new file mode 100644 index 00000000..68443ae3 --- /dev/null +++ b/metadata/1040ScheduleC__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} + diff --git a/metadata/1040ScheduleD__4__metadata.json b/metadata/1040ScheduleD__4__metadata.json new file mode 100644 index 00000000..73a3216b --- /dev/null +++ b/metadata/1040ScheduleD__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} + diff --git a/metadata/1040ScheduleE__4__metadata.json b/metadata/1040ScheduleE__4__metadata.json new file mode 100644 index 00000000..d1ea3071 --- /dev/null +++ b/metadata/1040ScheduleE__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} + diff --git a/metadata/1040__22__metadata.json b/metadata/1040__22__metadata.json new file mode 100644 index 00000000..df79f35c --- /dev/null +++ b/metadata/1040__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} + diff --git a/metadata/4506T__24__metadata.json b/metadata/4506T__24__metadata.json new file mode 100644 index 00000000..ba8f9506 --- /dev/null +++ b/metadata/4506T__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} + diff --git a/metadata/990__24__metadata.json b/metadata/990__24__metadata.json new file mode 100644 index 00000000..b857c078 --- /dev/null +++ b/metadata/990__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} + diff --git a/metadata/Acord125__24__metadata.json b/metadata/Acord125__24__metadata.json new file mode 100644 index 00000000..9f967a5e --- /dev/null +++ b/metadata/Acord125__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} + diff --git a/metadata/Acord126__22__metadata.json b/metadata/Acord126__22__metadata.json new file mode 100644 index 00000000..9c898a43 --- /dev/null +++ b/metadata/Acord126__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} + diff --git a/metadata/Acord131__22__metadata.json b/metadata/Acord131__22__metadata.json new file mode 100644 index 00000000..3d6f8ddf --- /dev/null +++ b/metadata/Acord131__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} + diff --git a/metadata/Acord140__22__metadata.json b/metadata/Acord140__22__metadata.json new file mode 100644 index 00000000..155c050c --- /dev/null +++ b/metadata/Acord140__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} + diff --git a/metadata/Acord25__22__metadata.json b/metadata/Acord25__22__metadata.json new file mode 100644 index 00000000..e668f499 --- /dev/null +++ b/metadata/Acord25__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} + diff --git a/metadata/BankStatements__22__metadata.json b/metadata/BankStatements__22__metadata.json new file mode 100644 index 00000000..6f1595e9 --- /dev/null +++ b/metadata/BankStatements__22__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} + diff --git a/metadata/BillsOfLading__22__metadata.json b/metadata/BillsOfLading__22__metadata.json new file mode 100644 index 00000000..f3fec96e --- /dev/null +++ b/metadata/BillsOfLading__22__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} + diff --git a/metadata/CMS1500__12__metadata.json b/metadata/CMS1500__12__metadata.json new file mode 100644 index 00000000..ea116172 --- /dev/null +++ b/metadata/CMS1500__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} + diff --git a/metadata/CertificatesOfIncorporation__12__metadata.json b/metadata/CertificatesOfIncorporation__12__metadata.json new file mode 100644 index 00000000..386773e7 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} + diff --git a/metadata/CertificatesOfOrigin__12__metadata.json b/metadata/CertificatesOfOrigin__12__metadata.json new file mode 100644 index 00000000..7c1dd877 --- /dev/null +++ b/metadata/CertificatesOfOrigin__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} + diff --git a/metadata/Checks__22__metadata.json b/metadata/Checks__22__metadata.json new file mode 100644 index 00000000..1482be24 --- /dev/null +++ b/metadata/Checks__22__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} + diff --git a/metadata/ChildrenProductCertificates__12__metadata.json b/metadata/ChildrenProductCertificates__12__metadata.json new file mode 100644 index 00000000..ec18057b --- /dev/null +++ b/metadata/ChildrenProductCertificates__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} + diff --git a/metadata/DocumentClassifier__24__metadata.json b/metadata/DocumentClassifier__24__metadata.json new file mode 100644 index 00000000..51720465 --- /dev/null +++ b/metadata/DocumentClassifier__24__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.5", + "imagePath": "du-ml-document-type-text-classifier:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} + diff --git a/metadata/DocumentUnderstanding__33__metadata.json b/metadata/DocumentUnderstanding__33__metadata.json new file mode 100644 index 00000000..963c18bc --- /dev/null +++ b/metadata/DocumentUnderstanding__33__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} + diff --git a/metadata/EUDeclarationOfConformity__12__metadata.json b/metadata/EUDeclarationOfConformity__12__metadata.json new file mode 100644 index 00000000..e5e9e981 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} + diff --git a/metadata/FM1003__24__metadata.json b/metadata/FM1003__24__metadata.json new file mode 100644 index 00000000..9103435f --- /dev/null +++ b/metadata/FM1003__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} + diff --git a/metadata/FinancialStatements__22__metadata.json b/metadata/FinancialStatements__22__metadata.json new file mode 100644 index 00000000..7ed75213 --- /dev/null +++ b/metadata/FinancialStatements__22__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} + diff --git a/metadata/I9__24__metadata.json b/metadata/I9__24__metadata.json new file mode 100644 index 00000000..58725972 --- /dev/null +++ b/metadata/I9__24__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} + diff --git a/metadata/IDCards__26__metadata.json b/metadata/IDCards__26__metadata.json new file mode 100644 index 00000000..83ea7fe9 --- /dev/null +++ b/metadata/IDCards__26__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} + diff --git a/metadata/IndianInvoices__32__metadata.json b/metadata/IndianInvoices__32__metadata.json new file mode 100644 index 00000000..2adbcb3e --- /dev/null +++ b/metadata/IndianInvoices__32__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} + diff --git a/metadata/InvoicesChina__25__metadata.json b/metadata/InvoicesChina__25__metadata.json new file mode 100644 index 00000000..9d06f717 --- /dev/null +++ b/metadata/InvoicesChina__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} + diff --git a/metadata/InvoicesShipping__12__metadata.json b/metadata/InvoicesShipping__12__metadata.json new file mode 100644 index 00000000..5b146e53 --- /dev/null +++ b/metadata/InvoicesShipping__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} + diff --git a/metadata/Invoices__33__metadata.json b/metadata/Invoices__33__metadata.json new file mode 100644 index 00000000..3a0f6740 --- /dev/null +++ b/metadata/Invoices__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} + diff --git a/metadata/JapaneseInvoices__30__metadata.json b/metadata/JapaneseInvoices__30__metadata.json new file mode 100644 index 00000000..c7a2e408 --- /dev/null +++ b/metadata/JapaneseInvoices__30__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} + diff --git a/metadata/PackingLists__22__metadata.json b/metadata/PackingLists__22__metadata.json new file mode 100644 index 00000000..d103a8c2 --- /dev/null +++ b/metadata/PackingLists__22__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} + diff --git a/metadata/Passports__26__metadata.json b/metadata/Passports__26__metadata.json new file mode 100644 index 00000000..78757064 --- /dev/null +++ b/metadata/Passports__26__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} + diff --git a/metadata/Payslips__12__metadata.json b/metadata/Payslips__12__metadata.json new file mode 100644 index 00000000..b09780e3 --- /dev/null +++ b/metadata/Payslips__12__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} + diff --git a/metadata/PurchaseOrders__32__metadata.json b/metadata/PurchaseOrders__32__metadata.json new file mode 100644 index 00000000..7458fd94 --- /dev/null +++ b/metadata/PurchaseOrders__32__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} + diff --git a/metadata/Receipts__33__metadata.json b/metadata/Receipts__33__metadata.json new file mode 100644 index 00000000..3a480580 --- /dev/null +++ b/metadata/Receipts__33__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} + diff --git a/metadata/RemittanceAdvices__25__metadata.json b/metadata/RemittanceAdvices__25__metadata.json new file mode 100644 index 00000000..1dff539d --- /dev/null +++ b/metadata/RemittanceAdvices__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} + diff --git a/metadata/UB04__4__metadata.json b/metadata/UB04__4__metadata.json new file mode 100644 index 00000000..f8b256be --- /dev/null +++ b/metadata/UB04__4__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} + diff --git a/metadata/UiPathDocumentOCR_CPU__18__metadata.json b/metadata/UiPathDocumentOCR_CPU__18__metadata.json new file mode 100644 index 00000000..450f3a0c --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__18__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "23.10.5", + "imagePath": "du-doc-ocr-cpu:v23.10-rc28", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UiPathDocumentOCR__24__metadata.json b/metadata/UiPathDocumentOCR__24__metadata.json new file mode 100644 index 00000000..3e273c94 --- /dev/null +++ b/metadata/UiPathDocumentOCR__24__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.10.5", + "imagePath": "du-doc-ocr:v23.10-rc28", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} + diff --git a/metadata/UtilityBills__32__metadata.json b/metadata/UtilityBills__32__metadata.json new file mode 100644 index 00000000..9bca925e --- /dev/null +++ b/metadata/UtilityBills__32__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} + diff --git a/metadata/VehicleTitles__22__metadata.json b/metadata/VehicleTitles__22__metadata.json new file mode 100644 index 00000000..633fef67 --- /dev/null +++ b/metadata/VehicleTitles__22__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} + diff --git a/metadata/W2__25__metadata.json b/metadata/W2__25__metadata.json new file mode 100644 index 00000000..2515dd26 --- /dev/null +++ b/metadata/W2__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} + diff --git a/metadata/W9__25__metadata.json b/metadata/W9__25__metadata.json new file mode 100644 index 00000000..e01040f5 --- /dev/null +++ b/metadata/W9__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.5", + "imagePath": "du-semistructured:v23.10-rc28", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic 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metadata/Passports__24__metadata.json | Bin 4606 -> 2270 bytes metadata/Passports__25__metadata.json | Bin 4598 -> 2266 bytes metadata/Payslips__11__metadata.json | Bin 4454 -> 2194 bytes metadata/PurchaseOrders__30__metadata.json | Bin 4650 -> 2292 bytes metadata/PurchaseOrders__31__metadata.json | Bin 4642 -> 2288 bytes metadata/Receipts__31__metadata.json | Bin 4598 -> 2266 bytes metadata/Receipts__32__metadata.json | Bin 4590 -> 2262 bytes metadata/RemittanceAdvices__23__metadata.json | Bin 4904 -> 2419 bytes metadata/RemittanceAdvices__24__metadata.json | Bin 4896 -> 2415 bytes .../UiPathDocumentOCR_CPU__16__metadata.json | Bin 4304 -> 2126 bytes .../UiPathDocumentOCR_CPU__17__metadata.json | Bin 4296 -> 2122 bytes metadata/UiPathDocumentOCR__22__metadata.json | Bin 4648 -> 2298 bytes metadata/UiPathDocumentOCR__23__metadata.json | Bin 4640 -> 2294 bytes metadata/UtilityBills__30__metadata.json | Bin 4554 -> 2244 bytes metadata/UtilityBills__31__metadata.json | Bin 4546 -> 2240 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metadata/Acord125__23__metadata.json | 2 +- metadata/Acord126__20__metadata.json | 2 +- metadata/Acord126__21__metadata.json | 2 +- metadata/Acord131__20__metadata.json | 2 +- metadata/Acord131__21__metadata.json | 2 +- metadata/Acord140__20__metadata.json | 2 +- metadata/Acord140__21__metadata.json | 2 +- metadata/Acord25__20__metadata.json | 2 +- metadata/Acord25__21__metadata.json | 2 +- metadata/AustralianInvoices__27__metadata.json | 2 +- metadata/AustralianInvoices__28__metadata.json | 2 +- metadata/BankStatements__20__metadata.json | 2 +- metadata/BankStatements__21__metadata.json | 2 +- metadata/BillsOfLading__20__metadata.json | 2 +- metadata/BillsOfLading__21__metadata.json | 2 +- metadata/CMS1500__11__metadata.json | 2 +- metadata/CertificatesOfIncorporation__11__metadata.json | 2 +- metadata/CertificatesOfOrigin__11__metadata.json | 2 +- metadata/Checks__20__metadata.json | 2 +- metadata/Checks__21__metadata.json | 2 +- metadata/ChildrenProductCertificates__11__metadata.json | 2 +- metadata/DocumentClassifier__22__metadata.json | 2 +- metadata/DocumentClassifier__23__metadata.json | 2 +- metadata/DocumentUnderstanding__31__metadata.json | 2 +- metadata/DocumentUnderstanding__32__metadata.json | 2 +- metadata/EUDeclarationOfConformity__11__metadata.json | 2 +- metadata/FM1003__22__metadata.json | 2 +- metadata/FM1003__23__metadata.json | 2 +- metadata/FinancialStatements__20__metadata.json | 2 +- metadata/FinancialStatements__21__metadata.json | 2 +- metadata/I9__22__metadata.json | 2 +- metadata/I9__23__metadata.json | 2 +- metadata/IDCards__24__metadata.json | 2 +- metadata/IDCards__25__metadata.json | 2 +- metadata/IndianInvoices__30__metadata.json | 2 +- metadata/IndianInvoices__31__metadata.json | 2 +- metadata/InvoicesChina__23__metadata.json | 2 +- metadata/InvoicesChina__24__metadata.json | 2 +- metadata/InvoicesShipping__11__metadata.json | 2 +- metadata/Invoices__31__metadata.json | 2 +- metadata/Invoices__32__metadata.json | 2 +- metadata/JapaneseInvoices__28__metadata.json | 2 +- metadata/JapaneseInvoices__29__metadata.json | 2 +- metadata/PackingLists__20__metadata.json | 2 +- metadata/PackingLists__21__metadata.json | 2 +- metadata/Passports__24__metadata.json | 2 +- metadata/Passports__25__metadata.json | 2 +- metadata/Payslips__11__metadata.json | 2 +- metadata/PurchaseOrders__30__metadata.json | 2 +- metadata/PurchaseOrders__31__metadata.json | 2 +- metadata/Receipts__31__metadata.json | 2 +- metadata/Receipts__32__metadata.json | 2 +- metadata/RemittanceAdvices__23__metadata.json | 2 +- metadata/RemittanceAdvices__24__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__16__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__17__metadata.json | 2 +- metadata/UiPathDocumentOCR__22__metadata.json | 2 +- metadata/UiPathDocumentOCR__23__metadata.json | 2 +- metadata/UtilityBills__30__metadata.json | 2 +- metadata/UtilityBills__31__metadata.json | 2 +- metadata/VehicleTitles__20__metadata.json | 2 +- metadata/VehicleTitles__21__metadata.json | 2 +- metadata/W2__23__metadata.json | 2 +- metadata/W2__24__metadata.json | 2 +- metadata/W9__23__metadata.json | 2 +- metadata/W9__24__metadata.json | 2 +- metadata_generate_new_du_versions.ps1 | 2 +- 74 files changed, 74 insertions(+), 74 deletions(-) diff --git a/metadata/1040__20__metadata.json b/metadata/1040__20__metadata.json index a58a3fb7..7ed086df 100644 --- a/metadata/1040__20__metadata.json +++ b/metadata/1040__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__21__metadata.json b/metadata/1040__21__metadata.json index aeb6e467..9f2d8367 100644 --- a/metadata/1040__21__metadata.json +++ b/metadata/1040__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__22__metadata.json b/metadata/4506T__22__metadata.json index b5b98598..e9bb8ce4 100644 --- a/metadata/4506T__22__metadata.json +++ b/metadata/4506T__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__23__metadata.json b/metadata/4506T__23__metadata.json index 1da71b24..8e8cc438 100644 --- a/metadata/4506T__23__metadata.json +++ b/metadata/4506T__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__22__metadata.json b/metadata/990__22__metadata.json index b7b3c8f1..ba5c2410 100644 --- a/metadata/990__22__metadata.json +++ b/metadata/990__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__23__metadata.json b/metadata/990__23__metadata.json index 433ad097..7f011847 100644 --- a/metadata/990__23__metadata.json +++ b/metadata/990__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__22__metadata.json b/metadata/Acord125__22__metadata.json index 4e4a493c..d35cbfaf 100644 --- a/metadata/Acord125__22__metadata.json +++ b/metadata/Acord125__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__23__metadata.json b/metadata/Acord125__23__metadata.json index ec04d697..6b5c44eb 100644 --- a/metadata/Acord125__23__metadata.json +++ b/metadata/Acord125__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__20__metadata.json b/metadata/Acord126__20__metadata.json index 8d1730c1..ec215ed0 100644 --- a/metadata/Acord126__20__metadata.json +++ b/metadata/Acord126__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__21__metadata.json b/metadata/Acord126__21__metadata.json index d4866ef2..408e6663 100644 --- a/metadata/Acord126__21__metadata.json +++ b/metadata/Acord126__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__20__metadata.json b/metadata/Acord131__20__metadata.json index 8854ce54..a413f96f 100644 --- a/metadata/Acord131__20__metadata.json +++ b/metadata/Acord131__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__21__metadata.json b/metadata/Acord131__21__metadata.json index 4c05e35d..43004ebe 100644 --- a/metadata/Acord131__21__metadata.json +++ b/metadata/Acord131__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__20__metadata.json b/metadata/Acord140__20__metadata.json index b931823c..136d0c26 100644 --- a/metadata/Acord140__20__metadata.json +++ b/metadata/Acord140__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__21__metadata.json b/metadata/Acord140__21__metadata.json index 7f3f8428..1bb411ed 100644 --- a/metadata/Acord140__21__metadata.json +++ b/metadata/Acord140__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__20__metadata.json b/metadata/Acord25__20__metadata.json index 2e60b717..e1b016ae 100644 --- a/metadata/Acord25__20__metadata.json +++ b/metadata/Acord25__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__21__metadata.json b/metadata/Acord25__21__metadata.json index 9d110721..56de03c2 100644 --- a/metadata/Acord25__21__metadata.json +++ b/metadata/Acord25__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__27__metadata.json b/metadata/AustralianInvoices__27__metadata.json index fa7f8a47..167c526a 100644 --- a/metadata/AustralianInvoices__27__metadata.json +++ b/metadata/AustralianInvoices__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__28__metadata.json b/metadata/AustralianInvoices__28__metadata.json index 7ab61b4c..c1736912 100644 --- a/metadata/AustralianInvoices__28__metadata.json +++ b/metadata/AustralianInvoices__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__20__metadata.json b/metadata/BankStatements__20__metadata.json index f5f5ca73..9dc92934 100644 --- a/metadata/BankStatements__20__metadata.json +++ b/metadata/BankStatements__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__21__metadata.json b/metadata/BankStatements__21__metadata.json index 0bf3170c..073995e8 100644 --- a/metadata/BankStatements__21__metadata.json +++ b/metadata/BankStatements__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__20__metadata.json b/metadata/BillsOfLading__20__metadata.json index d9a513a4..dad75907 100644 --- a/metadata/BillsOfLading__20__metadata.json +++ b/metadata/BillsOfLading__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__21__metadata.json b/metadata/BillsOfLading__21__metadata.json index e0121dfa..cc5d2671 100644 --- a/metadata/BillsOfLading__21__metadata.json +++ b/metadata/BillsOfLading__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__11__metadata.json b/metadata/CMS1500__11__metadata.json index a402f246..c1819cb8 100644 --- a/metadata/CMS1500__11__metadata.json +++ b/metadata/CMS1500__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__11__metadata.json b/metadata/CertificatesOfIncorporation__11__metadata.json index f8502fbb..7cba8890 100644 --- a/metadata/CertificatesOfIncorporation__11__metadata.json +++ b/metadata/CertificatesOfIncorporation__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__11__metadata.json b/metadata/CertificatesOfOrigin__11__metadata.json index a8bec0c3..8077225b 100644 --- a/metadata/CertificatesOfOrigin__11__metadata.json +++ b/metadata/CertificatesOfOrigin__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__20__metadata.json b/metadata/Checks__20__metadata.json index d7b4534f..8224ad26 100644 --- a/metadata/Checks__20__metadata.json +++ b/metadata/Checks__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__21__metadata.json b/metadata/Checks__21__metadata.json index d7323330..1f3eab71 100644 --- a/metadata/Checks__21__metadata.json +++ b/metadata/Checks__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__11__metadata.json b/metadata/ChildrenProductCertificates__11__metadata.json index 0aaba670..43ce4a03 100644 --- a/metadata/ChildrenProductCertificates__11__metadata.json +++ b/metadata/ChildrenProductCertificates__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__22__metadata.json b/metadata/DocumentClassifier__22__metadata.json index 7fd60309..5c5ba0b0 100644 --- a/metadata/DocumentClassifier__22__metadata.json +++ b/metadata/DocumentClassifier__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.13", - "imagePath": "du-ml-document-type-text-classifier:v22.10.12-rc33", + "imagePath": "du-ml-document-type-text-classifier:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentClassifier__23__metadata.json b/metadata/DocumentClassifier__23__metadata.json index cb66728e..86d041ae 100644 --- a/metadata/DocumentClassifier__23__metadata.json +++ b/metadata/DocumentClassifier__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.8", - "imagePath": "du-ml-document-type-text-classifier:v23.4.7-rc35", + "imagePath": "du-ml-document-type-text-classifier:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__31__metadata.json b/metadata/DocumentUnderstanding__31__metadata.json index d263866e..33e2b62a 100644 --- a/metadata/DocumentUnderstanding__31__metadata.json +++ b/metadata/DocumentUnderstanding__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__32__metadata.json b/metadata/DocumentUnderstanding__32__metadata.json index 00997e5a..c52c9226 100644 --- a/metadata/DocumentUnderstanding__32__metadata.json +++ b/metadata/DocumentUnderstanding__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__11__metadata.json b/metadata/EUDeclarationOfConformity__11__metadata.json index 95374707..b3316ff7 100644 --- a/metadata/EUDeclarationOfConformity__11__metadata.json +++ b/metadata/EUDeclarationOfConformity__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__22__metadata.json b/metadata/FM1003__22__metadata.json index b25df2db..ee64bc77 100644 --- a/metadata/FM1003__22__metadata.json +++ b/metadata/FM1003__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__23__metadata.json b/metadata/FM1003__23__metadata.json index aed65e81..20575d5f 100644 --- a/metadata/FM1003__23__metadata.json +++ b/metadata/FM1003__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__20__metadata.json b/metadata/FinancialStatements__20__metadata.json index 09a28bff..1fc83f9a 100644 --- a/metadata/FinancialStatements__20__metadata.json +++ b/metadata/FinancialStatements__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__21__metadata.json b/metadata/FinancialStatements__21__metadata.json index 9bf036ba..0cb9ada7 100644 --- a/metadata/FinancialStatements__21__metadata.json +++ b/metadata/FinancialStatements__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__22__metadata.json b/metadata/I9__22__metadata.json index a16dfbd2..b2848f24 100644 --- a/metadata/I9__22__metadata.json +++ b/metadata/I9__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__23__metadata.json b/metadata/I9__23__metadata.json index 11d4c7a8..5657d9b3 100644 --- a/metadata/I9__23__metadata.json +++ b/metadata/I9__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__24__metadata.json b/metadata/IDCards__24__metadata.json index a1ae8492..d4feaca5 100644 --- a/metadata/IDCards__24__metadata.json +++ b/metadata/IDCards__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__25__metadata.json b/metadata/IDCards__25__metadata.json index 4726b2d0..a7741e29 100644 --- a/metadata/IDCards__25__metadata.json +++ b/metadata/IDCards__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__30__metadata.json b/metadata/IndianInvoices__30__metadata.json index 401848e1..b0dc3a26 100644 --- a/metadata/IndianInvoices__30__metadata.json +++ b/metadata/IndianInvoices__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__31__metadata.json b/metadata/IndianInvoices__31__metadata.json index c611289e..cad1557f 100644 --- a/metadata/IndianInvoices__31__metadata.json +++ b/metadata/IndianInvoices__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__23__metadata.json b/metadata/InvoicesChina__23__metadata.json index e99abef1..65ff70c4 100644 --- a/metadata/InvoicesChina__23__metadata.json +++ b/metadata/InvoicesChina__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__24__metadata.json b/metadata/InvoicesChina__24__metadata.json index 13eba695..8a313d38 100644 --- a/metadata/InvoicesChina__24__metadata.json +++ b/metadata/InvoicesChina__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__11__metadata.json b/metadata/InvoicesShipping__11__metadata.json index 70cbdd81..0d195d2b 100644 --- a/metadata/InvoicesShipping__11__metadata.json +++ b/metadata/InvoicesShipping__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__31__metadata.json b/metadata/Invoices__31__metadata.json index d5326239..44222aea 100644 --- a/metadata/Invoices__31__metadata.json +++ b/metadata/Invoices__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__32__metadata.json b/metadata/Invoices__32__metadata.json index dadee3e2..3d3787c7 100644 --- a/metadata/Invoices__32__metadata.json +++ b/metadata/Invoices__32__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 32, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__28__metadata.json b/metadata/JapaneseInvoices__28__metadata.json index c897725f..483830e8 100644 --- a/metadata/JapaneseInvoices__28__metadata.json +++ b/metadata/JapaneseInvoices__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__29__metadata.json b/metadata/JapaneseInvoices__29__metadata.json index 902a4f0c..38f0f141 100644 --- a/metadata/JapaneseInvoices__29__metadata.json +++ b/metadata/JapaneseInvoices__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__20__metadata.json b/metadata/PackingLists__20__metadata.json index 04bfd5ec..1573783a 100644 --- a/metadata/PackingLists__20__metadata.json +++ b/metadata/PackingLists__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__21__metadata.json b/metadata/PackingLists__21__metadata.json index 0439622b..46c5238b 100644 --- a/metadata/PackingLists__21__metadata.json +++ b/metadata/PackingLists__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__24__metadata.json b/metadata/Passports__24__metadata.json index 861b716c..5b888552 100644 --- a/metadata/Passports__24__metadata.json +++ b/metadata/Passports__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__25__metadata.json b/metadata/Passports__25__metadata.json index 63bfa26a..9643d442 100644 --- a/metadata/Passports__25__metadata.json +++ b/metadata/Passports__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__11__metadata.json b/metadata/Payslips__11__metadata.json index 058468ea..ae9342b2 100644 --- a/metadata/Payslips__11__metadata.json +++ b/metadata/Payslips__11__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 11, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__30__metadata.json b/metadata/PurchaseOrders__30__metadata.json index d2c31389..c82992a1 100644 --- a/metadata/PurchaseOrders__30__metadata.json +++ b/metadata/PurchaseOrders__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__31__metadata.json b/metadata/PurchaseOrders__31__metadata.json index 6af395ef..48940ec3 100644 --- a/metadata/PurchaseOrders__31__metadata.json +++ b/metadata/PurchaseOrders__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__31__metadata.json b/metadata/Receipts__31__metadata.json index 1f88be92..bee6ec42 100644 --- a/metadata/Receipts__31__metadata.json +++ b/metadata/Receipts__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__32__metadata.json b/metadata/Receipts__32__metadata.json index cbdfac99..b5dffc79 100644 --- a/metadata/Receipts__32__metadata.json +++ b/metadata/Receipts__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__23__metadata.json b/metadata/RemittanceAdvices__23__metadata.json index 70f588bd..bdff4e4f 100644 --- a/metadata/RemittanceAdvices__23__metadata.json +++ b/metadata/RemittanceAdvices__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__24__metadata.json b/metadata/RemittanceAdvices__24__metadata.json index 43969811..7d3ed9ea 100644 --- a/metadata/RemittanceAdvices__24__metadata.json +++ b/metadata/RemittanceAdvices__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__16__metadata.json b/metadata/UiPathDocumentOCR_CPU__16__metadata.json index ed037901..e6079347 100644 --- a/metadata/UiPathDocumentOCR_CPU__16__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "22.10.13", - "imagePath": "du-doc-ocr-cpu:v22.10.12-rc33", + "imagePath": "du-doc-ocr-cpu:v22.10-rc14", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR_CPU__17__metadata.json b/metadata/UiPathDocumentOCR_CPU__17__metadata.json index 2051dd49..2201f5f9 100644 --- a/metadata/UiPathDocumentOCR_CPU__17__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "23.4.8", - "imagePath": "du-doc-ocr-cpu:v23.4.7-rc35", + "imagePath": "du-doc-ocr-cpu:v23.4-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__22__metadata.json b/metadata/UiPathDocumentOCR__22__metadata.json index 3f48d97b..6e2b668b 100644 --- a/metadata/UiPathDocumentOCR__22__metadata.json +++ b/metadata/UiPathDocumentOCR__22__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 22, "customVersion": "22.10.13", - "imagePath": "du-doc-ocr:v22.10.12-rc33", + "imagePath": "du-doc-ocr:v22.10-rc14", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__23__metadata.json b/metadata/UiPathDocumentOCR__23__metadata.json index 6353bef7..9a55554d 100644 --- a/metadata/UiPathDocumentOCR__23__metadata.json +++ b/metadata/UiPathDocumentOCR__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "23.4.8", - "imagePath": "du-doc-ocr:v23.4.7-rc35", + "imagePath": "du-doc-ocr:v23.4-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__30__metadata.json b/metadata/UtilityBills__30__metadata.json index 6a3a134e..b471c77e 100644 --- a/metadata/UtilityBills__30__metadata.json +++ b/metadata/UtilityBills__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__31__metadata.json b/metadata/UtilityBills__31__metadata.json index 59ce29b8..b94acffe 100644 --- a/metadata/UtilityBills__31__metadata.json +++ b/metadata/UtilityBills__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__20__metadata.json b/metadata/VehicleTitles__20__metadata.json index 912c0d40..1ffc44cf 100644 --- a/metadata/VehicleTitles__20__metadata.json +++ b/metadata/VehicleTitles__20__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 20, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__21__metadata.json b/metadata/VehicleTitles__21__metadata.json index 1aad3617..9810339f 100644 --- a/metadata/VehicleTitles__21__metadata.json +++ b/metadata/VehicleTitles__21__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 21, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__23__metadata.json b/metadata/W2__23__metadata.json index 52ce29a3..497d1448 100644 --- a/metadata/W2__23__metadata.json +++ b/metadata/W2__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__24__metadata.json b/metadata/W2__24__metadata.json index 65862092..cb449799 100644 --- a/metadata/W2__24__metadata.json +++ b/metadata/W2__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__23__metadata.json b/metadata/W9__23__metadata.json index 19876bff..3be05a80 100644 --- a/metadata/W9__23__metadata.json +++ b/metadata/W9__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10.12-rc63", + "imagePath": "du-semistructured:v22.10-rc14", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__24__metadata.json b/metadata/W9__24__metadata.json index 5d2f5472..2da6c5ad 100644 --- a/metadata/W9__24__metadata.json +++ b/metadata/W9__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4.7-rc64", + "imagePath": "du-semistructured:v23.4-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 9c3a17f8..3318040c 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,7 +9,7 @@ $newCustomVersion = '23.4.8' # Set the text to be replaced and the replacement text $oldText = 'du-semistructured:v23.4.7-rc35' -$newText = 'du-semistructured:v23.4.7-rc64' +$newText = 'du-semistructured:v23.4-rc02' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From c6e9e1f6068de98d1d2c6a2516e9bf37c329aa95 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 13 Aug 2024 17:25:13 +0300 Subject: [PATCH 196/267] [LightTextClassification] Add 23.10.3 version for on-prem --- .../LightTextClassification__7__metadata.json | 24 +++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/LightTextClassification__7__metadata.json diff --git a/metadata/LightTextClassification__7__metadata.json b/metadata/LightTextClassification__7__metadata.json new file mode 100644 index 00000000..13a9d754 --- /dev/null +++ b/metadata/LightTextClassification__7__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "LightTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "inputDescription": "Text that would be classified.", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", + "changeLog": "Fix dependency bug and move to Python39", + "cpu": 1, + "inputType": "JSON", + "displayName": "LightTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON39", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 7, + "customVersion": "23.10.3", + "contentUri": "https:///publicmodels/AIC/LightTextClassification/23.10.3/bow_text_classifier_package.zip" +} From 4bd24799220dea5b5b72c9ea534af85640a63bf2 Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Mon, 16 Sep 2024 13:57:22 +0300 Subject: [PATCH 197/267] feat(computer-vision): Add 22.10.7.3 [SEMA-3705] --- ...ta.json => ComputerVision__22100703__metadata.json} | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) rename metadata/{ComputerVision__22100702__metadata.json => ComputerVision__22100703__metadata.json} (91%) diff --git a/metadata/ComputerVision__22100702__metadata.json b/metadata/ComputerVision__22100703__metadata.json similarity index 91% rename from metadata/ComputerVision__22100702__metadata.json rename to metadata/ComputerVision__22100703__metadata.json index ef8c62a8..3d85881b 100644 --- a/metadata/ComputerVision__22100702__metadata.json +++ b/metadata/ComputerVision__22100703__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2022.10.12", + "changeLog": "Release v2022.10.14", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 22100702, - "customVersion": "22.10.12", - "imagePath": "cv2210:22.10.7.2", + "version": 22100703, + "customVersion": "22.10.14", + "imagePath": "cv2210:22.10.7.3", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" -} \ No newline at end of file +} From 8b222fabc5a335c9f7c7cc09285223d2703c4e97 Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Mon, 16 Sep 2024 15:05:36 +0300 Subject: [PATCH 198/267] feat(computer-vision): Add 23.10.5.12 [SEMA-3710] --- ...adata.json => ComputerVision__23100512__metadata.json} | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) rename metadata/{ComputerVision__23100509__metadata.json => ComputerVision__23100512__metadata.json} (91%) diff --git a/metadata/ComputerVision__23100509__metadata.json b/metadata/ComputerVision__23100512__metadata.json similarity index 91% rename from metadata/ComputerVision__23100509__metadata.json rename to metadata/ComputerVision__23100512__metadata.json index a5a6c42c..d8d0e732 100644 --- a/metadata/ComputerVision__23100509__metadata.json +++ b/metadata/ComputerVision__23100512__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.4", + "changeLog": "Release v2023.10.6", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 23100509, - "customVersion": "23.10.4", - "imagePath": "cv2310:23.10.5.9", + "version": 23100512, + "customVersion": "23.10.6", + "imagePath": "cv2310:23.10.5.12", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From 732b6b8c4d162943f96f4a93cfd1b5e8863f731e Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Mon, 16 Sep 2024 15:29:55 +0300 Subject: [PATCH 199/267] feat(computer-vision): Add 23.4.13.2 [SEMA-3709] --- ...ta.json => ComputerVision__23041302__metadata.json} | 10 +++++----- 1 file changed, 5 insertions(+), 5 deletions(-) rename metadata/{ComputerVision__23041301__metadata.json => ComputerVision__23041302__metadata.json} (91%) diff --git a/metadata/ComputerVision__23041301__metadata.json b/metadata/ComputerVision__23041302__metadata.json similarity index 91% rename from metadata/ComputerVision__23041301__metadata.json rename to metadata/ComputerVision__23041302__metadata.json index 687d0106..fcd11635 100644 --- a/metadata/ComputerVision__23041301__metadata.json +++ b/metadata/ComputerVision__23041302__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.04.7", + "changeLog": "Release v2023.04.9", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 23041301, - "customVersion": "23.04.7", - "imagePath": "cv2304:23.4.13.1", + "version": 23041302, + "customVersion": "23.04.9", + "imagePath": "cv2304:23.4.13.2", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" -} \ No newline at end of file +} From dc97cb56c60c1fb16c958792cc41d1007f1e6849 Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Mon, 16 Sep 2024 22:49:11 +0300 Subject: [PATCH 200/267] feat(computer-vision): Add 24.10.0.0 [SEMA-3713] --- .../ComputerVision__24100000__metadata.json | 26 +++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 metadata/ComputerVision__24100000__metadata.json diff --git a/metadata/ComputerVision__24100000__metadata.json b/metadata/ComputerVision__24100000__metadata.json new file mode 100644 index 00000000..a71f60b1 --- /dev/null +++ b/metadata/ComputerVision__24100000__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "Release v2023.10.6", + "cpu": 0, + "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 1, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 3, + "version": 24100000, + "customVersion": "23.10.6", + "imagePath": "cv2410:24.10.0.0", + "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" +} From 79784149cc582da33f13d2bc59a1d34cc68bf4d4 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 17 Sep 2024 17:30:14 +0300 Subject: [PATCH 201/267] Add MultiLingualTextClassification V5 --- ...ingualTextClassification__5__metadata.json | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/MultiLingualTextClassification__5__metadata.json diff --git a/metadata/MultiLingualTextClassification__5__metadata.json b/metadata/MultiLingualTextClassification__5__metadata.json new file mode 100644 index 00000000..27fae0ad --- /dev/null +++ b/metadata/MultiLingualTextClassification__5__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "MultiLingualTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is the preview version of a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", + "inputDescription": "Text that would be classified", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "MultiLingualTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON39", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.40", + "version": 5, + "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/5/bert_text_classifier_package.zip" +} \ No newline at end of file From d1e0fc229d5cb262701976754bacbcf3a679f43a Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Thu, 19 Sep 2024 15:43:40 +0300 Subject: [PATCH 202/267] feat(computer-vision): Fix 24.10.0.0 underlying version [SEMA-3713] --- metadata/ComputerVision__24100000__metadata.json | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/metadata/ComputerVision__24100000__metadata.json b/metadata/ComputerVision__24100000__metadata.json index a71f60b1..764dee56 100644 --- a/metadata/ComputerVision__24100000__metadata.json +++ b/metadata/ComputerVision__24100000__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.6", + "changeLog": "Release v2023.10.6.1", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -20,7 +20,7 @@ "minAIFabricVersion": "22.10", "languageVersion": 3, "version": 24100000, - "customVersion": "23.10.6", + "customVersion": "23.10.6.1", "imagePath": "cv2410:24.10.0.0", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From 140d7066aa939953e5504af1f80feacb52670359 Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Fri, 20 Sep 2024 12:05:33 +0300 Subject: [PATCH 203/267] fix(computer-vision): Fix testing versions by renaming to ensure higher number than stable --- ...__metadata.json => ComputerVision__122100703__metadata.json} | 2 +- ...__metadata.json => ComputerVision__123041302__metadata.json} | 2 +- ...__metadata.json => ComputerVision__123100512__metadata.json} | 2 +- ...__metadata.json => ComputerVision__124100000__metadata.json} | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) rename metadata/{ComputerVision__22100703__metadata.json => ComputerVision__122100703__metadata.json} (98%) rename metadata/{ComputerVision__23041302__metadata.json => ComputerVision__123041302__metadata.json} (98%) rename metadata/{ComputerVision__23100512__metadata.json => ComputerVision__123100512__metadata.json} (98%) rename metadata/{ComputerVision__24100000__metadata.json => ComputerVision__124100000__metadata.json} (98%) diff --git a/metadata/ComputerVision__22100703__metadata.json b/metadata/ComputerVision__122100703__metadata.json similarity index 98% rename from metadata/ComputerVision__22100703__metadata.json rename to metadata/ComputerVision__122100703__metadata.json index 3d85881b..222bc8c2 100644 --- a/metadata/ComputerVision__22100703__metadata.json +++ b/metadata/ComputerVision__122100703__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 22100703, + "version": 122100703, "customVersion": "22.10.14", "imagePath": "cv2210:22.10.7.3", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" diff --git a/metadata/ComputerVision__23041302__metadata.json b/metadata/ComputerVision__123041302__metadata.json similarity index 98% rename from metadata/ComputerVision__23041302__metadata.json rename to metadata/ComputerVision__123041302__metadata.json index fcd11635..a2d2ce4e 100644 --- a/metadata/ComputerVision__23041302__metadata.json +++ b/metadata/ComputerVision__123041302__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 23041302, + "version": 123041302, "customVersion": "23.04.9", "imagePath": "cv2304:23.4.13.2", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" diff --git a/metadata/ComputerVision__23100512__metadata.json b/metadata/ComputerVision__123100512__metadata.json similarity index 98% rename from metadata/ComputerVision__23100512__metadata.json rename to metadata/ComputerVision__123100512__metadata.json index d8d0e732..01f4c43d 100644 --- a/metadata/ComputerVision__23100512__metadata.json +++ b/metadata/ComputerVision__123100512__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 23100512, + "version": 123100512, "customVersion": "23.10.6", "imagePath": "cv2310:23.10.5.12", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" diff --git a/metadata/ComputerVision__24100000__metadata.json b/metadata/ComputerVision__124100000__metadata.json similarity index 98% rename from metadata/ComputerVision__24100000__metadata.json rename to metadata/ComputerVision__124100000__metadata.json index 764dee56..65dbaede 100644 --- a/metadata/ComputerVision__24100000__metadata.json +++ b/metadata/ComputerVision__124100000__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 24100000, + "version": 124100000, "customVersion": "23.10.6.1", "imagePath": "cv2410:24.10.0.0", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" From cdb677c07c64314e8c9ada534a576e6a971eae8a Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 24 Sep 2024 10:38:40 +0300 Subject: [PATCH 204/267] [AS] [24.10 CU] [22.10.14] Add metadata for 22.10.14 DU models --- metadata/1040__23__metadata.json | 33 +++++++++++++++++++ metadata/4506T__25__metadata.json | 33 +++++++++++++++++++ metadata/990__25__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__25__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__23__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__23__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__23__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__23__metadata.json | 33 +++++++++++++++++++ .../AustralianInvoices__29__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__23__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__23__metadata.json | 32 ++++++++++++++++++ metadata/Checks__23__metadata.json | 32 ++++++++++++++++++ .../DocumentClassifier__25__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__34__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__25__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__23__metadata.json | 32 ++++++++++++++++++ metadata/I9__25__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__27__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__33__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__26__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__34__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__31__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__23__metadata.json | 32 ++++++++++++++++++ metadata/Passports__27__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__33__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__34__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__26__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__19__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__25__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__33__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__23__metadata.json | 32 ++++++++++++++++++ metadata/W2__26__metadata.json | 33 +++++++++++++++++++ metadata/W9__26__metadata.json | 33 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 25 ++++++++++---- 34 files changed, 1079 insertions(+), 7 deletions(-) create mode 100644 metadata/1040__23__metadata.json create mode 100644 metadata/4506T__25__metadata.json create mode 100644 metadata/990__25__metadata.json create mode 100644 metadata/Acord125__25__metadata.json create mode 100644 metadata/Acord126__23__metadata.json create mode 100644 metadata/Acord131__23__metadata.json create mode 100644 metadata/Acord140__23__metadata.json create mode 100644 metadata/Acord25__23__metadata.json create mode 100644 metadata/AustralianInvoices__29__metadata.json create mode 100644 metadata/BankStatements__23__metadata.json create mode 100644 metadata/BillsOfLading__23__metadata.json create mode 100644 metadata/Checks__23__metadata.json create mode 100644 metadata/DocumentClassifier__25__metadata.json create mode 100644 metadata/DocumentUnderstanding__34__metadata.json create mode 100644 metadata/FM1003__25__metadata.json create mode 100644 metadata/FinancialStatements__23__metadata.json create mode 100644 metadata/I9__25__metadata.json create mode 100644 metadata/IDCards__27__metadata.json create mode 100644 metadata/IndianInvoices__33__metadata.json create mode 100644 metadata/InvoicesChina__26__metadata.json create mode 100644 metadata/Invoices__34__metadata.json create mode 100644 metadata/JapaneseInvoices__31__metadata.json create mode 100644 metadata/PackingLists__23__metadata.json create mode 100644 metadata/Passports__27__metadata.json create mode 100644 metadata/PurchaseOrders__33__metadata.json create mode 100644 metadata/Receipts__34__metadata.json create mode 100644 metadata/RemittanceAdvices__26__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__19__metadata.json create mode 100644 metadata/UiPathDocumentOCR__25__metadata.json create mode 100644 metadata/UtilityBills__33__metadata.json create mode 100644 metadata/VehicleTitles__23__metadata.json create mode 100644 metadata/W2__26__metadata.json create mode 100644 metadata/W9__26__metadata.json diff --git a/metadata/1040__23__metadata.json b/metadata/1040__23__metadata.json new file mode 100644 index 00000000..3390abd0 --- /dev/null +++ b/metadata/1040__23__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__25__metadata.json b/metadata/4506T__25__metadata.json new file mode 100644 index 00000000..5563f3fd --- /dev/null +++ b/metadata/4506T__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/990__25__metadata.json b/metadata/990__25__metadata.json new file mode 100644 index 00000000..0d92ffab --- /dev/null +++ b/metadata/990__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__25__metadata.json b/metadata/Acord125__25__metadata.json new file mode 100644 index 00000000..62df8bc9 --- /dev/null +++ b/metadata/Acord125__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__23__metadata.json b/metadata/Acord126__23__metadata.json new file mode 100644 index 00000000..a3d8c553 --- /dev/null +++ b/metadata/Acord126__23__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__23__metadata.json b/metadata/Acord131__23__metadata.json new file mode 100644 index 00000000..b1b73fcd --- /dev/null +++ b/metadata/Acord131__23__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__23__metadata.json b/metadata/Acord140__23__metadata.json new file mode 100644 index 00000000..cfdbf7d3 --- /dev/null +++ b/metadata/Acord140__23__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__23__metadata.json b/metadata/Acord25__23__metadata.json new file mode 100644 index 00000000..40879b7e --- /dev/null +++ b/metadata/Acord25__23__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/AustralianInvoices__29__metadata.json b/metadata/AustralianInvoices__29__metadata.json new file mode 100644 index 00000000..47ee529b --- /dev/null +++ b/metadata/AustralianInvoices__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/BankStatements__23__metadata.json b/metadata/BankStatements__23__metadata.json new file mode 100644 index 00000000..2286061d --- /dev/null +++ b/metadata/BankStatements__23__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__23__metadata.json b/metadata/BillsOfLading__23__metadata.json new file mode 100644 index 00000000..4427f3bc --- /dev/null +++ b/metadata/BillsOfLading__23__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/Checks__23__metadata.json b/metadata/Checks__23__metadata.json new file mode 100644 index 00000000..c91cfc43 --- /dev/null +++ b/metadata/Checks__23__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/DocumentClassifier__25__metadata.json b/metadata/DocumentClassifier__25__metadata.json new file mode 100644 index 00000000..0d785ca6 --- /dev/null +++ b/metadata/DocumentClassifier__25__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-ml-document-type-text-classifier:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__34__metadata.json b/metadata/DocumentUnderstanding__34__metadata.json new file mode 100644 index 00000000..e578584a --- /dev/null +++ b/metadata/DocumentUnderstanding__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/FM1003__25__metadata.json b/metadata/FM1003__25__metadata.json new file mode 100644 index 00000000..477cbd9e --- /dev/null +++ b/metadata/FM1003__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__23__metadata.json b/metadata/FinancialStatements__23__metadata.json new file mode 100644 index 00000000..5755373e --- /dev/null +++ b/metadata/FinancialStatements__23__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__25__metadata.json b/metadata/I9__25__metadata.json new file mode 100644 index 00000000..2a1eaa33 --- /dev/null +++ b/metadata/I9__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__27__metadata.json b/metadata/IDCards__27__metadata.json new file mode 100644 index 00000000..31393dc9 --- /dev/null +++ b/metadata/IDCards__27__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__33__metadata.json b/metadata/IndianInvoices__33__metadata.json new file mode 100644 index 00000000..734107f6 --- /dev/null +++ b/metadata/IndianInvoices__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__26__metadata.json b/metadata/InvoicesChina__26__metadata.json new file mode 100644 index 00000000..edd9b734 --- /dev/null +++ b/metadata/InvoicesChina__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/Invoices__34__metadata.json b/metadata/Invoices__34__metadata.json new file mode 100644 index 00000000..c0104092 --- /dev/null +++ b/metadata/Invoices__34__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__31__metadata.json b/metadata/JapaneseInvoices__31__metadata.json new file mode 100644 index 00000000..55ce5715 --- /dev/null +++ b/metadata/JapaneseInvoices__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__23__metadata.json b/metadata/PackingLists__23__metadata.json new file mode 100644 index 00000000..c5c92404 --- /dev/null +++ b/metadata/PackingLists__23__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__27__metadata.json b/metadata/Passports__27__metadata.json new file mode 100644 index 00000000..157bbbae --- /dev/null +++ b/metadata/Passports__27__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/PurchaseOrders__33__metadata.json b/metadata/PurchaseOrders__33__metadata.json new file mode 100644 index 00000000..417433eb --- /dev/null +++ b/metadata/PurchaseOrders__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__34__metadata.json b/metadata/Receipts__34__metadata.json new file mode 100644 index 00000000..2491d638 --- /dev/null +++ b/metadata/Receipts__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__26__metadata.json b/metadata/RemittanceAdvices__26__metadata.json new file mode 100644 index 00000000..c7c08e2d --- /dev/null +++ b/metadata/RemittanceAdvices__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__19__metadata.json b/metadata/UiPathDocumentOCR_CPU__19__metadata.json new file mode 100644 index 00000000..cdf37f4d --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__19__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.14", + "imagePath": "du-doc-ocr-cpu:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__25__metadata.json b/metadata/UiPathDocumentOCR__25__metadata.json new file mode 100644 index 00000000..da5e32e9 --- /dev/null +++ b/metadata/UiPathDocumentOCR__25__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-doc-ocr:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__33__metadata.json b/metadata/UtilityBills__33__metadata.json new file mode 100644 index 00000000..bdf2e6fe --- /dev/null +++ b/metadata/UtilityBills__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__23__metadata.json b/metadata/VehicleTitles__23__metadata.json new file mode 100644 index 00000000..72055ac9 --- /dev/null +++ b/metadata/VehicleTitles__23__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__26__metadata.json b/metadata/W2__26__metadata.json new file mode 100644 index 00000000..b7eec38b --- /dev/null +++ b/metadata/W2__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__26__metadata.json b/metadata/W9__26__metadata.json new file mode 100644 index 00000000..e3eb0872 --- /dev/null +++ b/metadata/W9__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-09.23-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 3318040c..d19b0ae7 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -1,15 +1,21 @@ +function Remove-BomFromFile($Path) { + $Content = Get-Content -Path $Path -Raw + $Utf8NoBomEncoding = New-Object -TypeName System.Text.UTF8Encoding -ArgumentList $False + [System.IO.File]::WriteAllLines($Path, $Content, $Utf8NoBomEncoding) +} + # Define the path to the folder containing the files $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$oldCustomVersion = '23.4.7' +$previousCustomVersion = '22.10.13' # Set the new custom version number -$newCustomVersion = '23.4.8' +$newCustomVersion = '22.10.14' # Set the text to be replaced and the replacement text -$oldText = 'du-semistructured:v23.4.7-rc35' -$newText = 'du-semistructured:v23.4-rc02' +$targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier +$newTag = 'v22.10-09.23-rc02' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } @@ -39,7 +45,7 @@ foreach ($file in $fileList) { } $json = Get-Content $file.FullName | ConvertFrom-Json - if ($json.customVersion -eq $oldCustomVersion){ + if ($json.customVersion -eq $previousCustomVersion){ $previousFileVersion[$model] = $version } } @@ -66,9 +72,14 @@ foreach ($file in $fileList) { $json.customVersion = $newCustomVersion # Replace the specified text with the new text - $json.imagePath = $json.imagePath -replace $oldText, $newText + $parts = $json.imagePath -split ':' + if ($targetImage -ne $null -and $targetImage -ne '' -and $targetImage -ne $parts[0]){ + continue + } + + $json.imagePath = $parts[0] + ":" + $newTag - $json | ConvertTo-Json -Depth 100 | Out-File $newFilePath + $json | ConvertTo-Json -Depth 100 | Set-Content $newFilePath -Encoding ASCII # Copy the file's last write time to the new file $newFile = Get-Item $newFilePath From e05f784407996e06909f379694649f4568d6cdb7 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 24 Sep 2024 15:01:44 +0300 Subject: [PATCH 205/267] [AS] [24 OCT CU] [23.4.9] Add metadata for 23.4.9 DU models --- metadata/1040__24__metadata.json | 33 +++++++++++++++++++ metadata/4506T__26__metadata.json | 33 +++++++++++++++++++ metadata/990__26__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__26__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__24__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__24__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__24__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__24__metadata.json | 33 +++++++++++++++++++ .../AustralianInvoices__30__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__24__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__24__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__13__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__13__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__13__metadata.json | 33 +++++++++++++++++++ metadata/Checks__24__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__13__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__26__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__35__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__13__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__26__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__24__metadata.json | 32 ++++++++++++++++++ metadata/I9__26__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__28__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__34__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__27__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__13__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__35__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__32__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__24__metadata.json | 32 ++++++++++++++++++ metadata/Passports__28__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__13__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__34__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__35__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__27__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__20__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__26__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__34__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__24__metadata.json | 32 ++++++++++++++++++ metadata/W2__27__metadata.json | 33 +++++++++++++++++++ metadata/W9__27__metadata.json | 33 +++++++++++++++++++ 40 files changed, 1292 insertions(+) create mode 100644 metadata/1040__24__metadata.json create mode 100644 metadata/4506T__26__metadata.json create mode 100644 metadata/990__26__metadata.json create mode 100644 metadata/Acord125__26__metadata.json create mode 100644 metadata/Acord126__24__metadata.json create mode 100644 metadata/Acord131__24__metadata.json create mode 100644 metadata/Acord140__24__metadata.json create mode 100644 metadata/Acord25__24__metadata.json create mode 100644 metadata/AustralianInvoices__30__metadata.json create mode 100644 metadata/BankStatements__24__metadata.json create mode 100644 metadata/BillsOfLading__24__metadata.json create mode 100644 metadata/CMS1500__13__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__13__metadata.json create mode 100644 metadata/CertificatesOfOrigin__13__metadata.json create mode 100644 metadata/Checks__24__metadata.json create mode 100644 metadata/ChildrenProductCertificates__13__metadata.json create mode 100644 metadata/DocumentClassifier__26__metadata.json create mode 100644 metadata/DocumentUnderstanding__35__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__13__metadata.json create mode 100644 metadata/FM1003__26__metadata.json create mode 100644 metadata/FinancialStatements__24__metadata.json create mode 100644 metadata/I9__26__metadata.json create mode 100644 metadata/IDCards__28__metadata.json create mode 100644 metadata/IndianInvoices__34__metadata.json create mode 100644 metadata/InvoicesChina__27__metadata.json create mode 100644 metadata/InvoicesShipping__13__metadata.json create mode 100644 metadata/Invoices__35__metadata.json create mode 100644 metadata/JapaneseInvoices__32__metadata.json create mode 100644 metadata/PackingLists__24__metadata.json create mode 100644 metadata/Passports__28__metadata.json create mode 100644 metadata/Payslips__13__metadata.json create mode 100644 metadata/PurchaseOrders__34__metadata.json create mode 100644 metadata/Receipts__35__metadata.json create mode 100644 metadata/RemittanceAdvices__27__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__20__metadata.json create mode 100644 metadata/UiPathDocumentOCR__26__metadata.json create mode 100644 metadata/UtilityBills__34__metadata.json create mode 100644 metadata/VehicleTitles__24__metadata.json create mode 100644 metadata/W2__27__metadata.json create mode 100644 metadata/W9__27__metadata.json diff --git a/metadata/1040__24__metadata.json b/metadata/1040__24__metadata.json new file mode 100644 index 00000000..eab4e2c6 --- /dev/null +++ b/metadata/1040__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__26__metadata.json b/metadata/4506T__26__metadata.json new file mode 100644 index 00000000..a6ca7440 --- /dev/null +++ b/metadata/4506T__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/990__26__metadata.json b/metadata/990__26__metadata.json new file mode 100644 index 00000000..a21d447a --- /dev/null +++ b/metadata/990__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__26__metadata.json b/metadata/Acord125__26__metadata.json new file mode 100644 index 00000000..b0356ad3 --- /dev/null +++ b/metadata/Acord125__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__24__metadata.json b/metadata/Acord126__24__metadata.json new file mode 100644 index 00000000..659c3085 --- /dev/null +++ b/metadata/Acord126__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__24__metadata.json b/metadata/Acord131__24__metadata.json new file mode 100644 index 00000000..0ffaa632 --- /dev/null +++ b/metadata/Acord131__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__24__metadata.json b/metadata/Acord140__24__metadata.json new file mode 100644 index 00000000..169bb953 --- /dev/null +++ b/metadata/Acord140__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__24__metadata.json b/metadata/Acord25__24__metadata.json new file mode 100644 index 00000000..f79e30db --- /dev/null +++ b/metadata/Acord25__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/AustralianInvoices__30__metadata.json b/metadata/AustralianInvoices__30__metadata.json new file mode 100644 index 00000000..e5c48db3 --- /dev/null +++ b/metadata/AustralianInvoices__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/BankStatements__24__metadata.json b/metadata/BankStatements__24__metadata.json new file mode 100644 index 00000000..9ab02613 --- /dev/null +++ b/metadata/BankStatements__24__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__24__metadata.json b/metadata/BillsOfLading__24__metadata.json new file mode 100644 index 00000000..ed576777 --- /dev/null +++ b/metadata/BillsOfLading__24__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__13__metadata.json b/metadata/CMS1500__13__metadata.json new file mode 100644 index 00000000..633ae2bb --- /dev/null +++ b/metadata/CMS1500__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__13__metadata.json b/metadata/CertificatesOfIncorporation__13__metadata.json new file mode 100644 index 00000000..08e3a3af --- /dev/null +++ b/metadata/CertificatesOfIncorporation__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__13__metadata.json b/metadata/CertificatesOfOrigin__13__metadata.json new file mode 100644 index 00000000..c46c9d65 --- /dev/null +++ b/metadata/CertificatesOfOrigin__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__24__metadata.json b/metadata/Checks__24__metadata.json new file mode 100644 index 00000000..af988d0f --- /dev/null +++ b/metadata/Checks__24__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__13__metadata.json b/metadata/ChildrenProductCertificates__13__metadata.json new file mode 100644 index 00000000..d21ea37d --- /dev/null +++ b/metadata/ChildrenProductCertificates__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__26__metadata.json b/metadata/DocumentClassifier__26__metadata.json new file mode 100644 index 00000000..1c84d423 --- /dev/null +++ b/metadata/DocumentClassifier__26__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.9", + "imagePath": "du-ml-document-type-text-classifier:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__35__metadata.json b/metadata/DocumentUnderstanding__35__metadata.json new file mode 100644 index 00000000..d4ff5c59 --- /dev/null +++ b/metadata/DocumentUnderstanding__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__13__metadata.json b/metadata/EUDeclarationOfConformity__13__metadata.json new file mode 100644 index 00000000..76ad39eb --- /dev/null +++ b/metadata/EUDeclarationOfConformity__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__26__metadata.json b/metadata/FM1003__26__metadata.json new file mode 100644 index 00000000..d52fbd72 --- /dev/null +++ b/metadata/FM1003__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__24__metadata.json b/metadata/FinancialStatements__24__metadata.json new file mode 100644 index 00000000..7622ef00 --- /dev/null +++ b/metadata/FinancialStatements__24__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__26__metadata.json b/metadata/I9__26__metadata.json new file mode 100644 index 00000000..e166887b --- /dev/null +++ b/metadata/I9__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__28__metadata.json b/metadata/IDCards__28__metadata.json new file mode 100644 index 00000000..b99c3237 --- /dev/null +++ b/metadata/IDCards__28__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__34__metadata.json b/metadata/IndianInvoices__34__metadata.json new file mode 100644 index 00000000..0b1c7ba4 --- /dev/null +++ b/metadata/IndianInvoices__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__27__metadata.json b/metadata/InvoicesChina__27__metadata.json new file mode 100644 index 00000000..ca23bbb5 --- /dev/null +++ b/metadata/InvoicesChina__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesShipping__13__metadata.json b/metadata/InvoicesShipping__13__metadata.json new file mode 100644 index 00000000..e49495ba --- /dev/null +++ b/metadata/InvoicesShipping__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__35__metadata.json b/metadata/Invoices__35__metadata.json new file mode 100644 index 00000000..5441cdb7 --- /dev/null +++ b/metadata/Invoices__35__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__32__metadata.json b/metadata/JapaneseInvoices__32__metadata.json new file mode 100644 index 00000000..4713d129 --- /dev/null +++ b/metadata/JapaneseInvoices__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__24__metadata.json b/metadata/PackingLists__24__metadata.json new file mode 100644 index 00000000..23dd4767 --- /dev/null +++ b/metadata/PackingLists__24__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__28__metadata.json b/metadata/Passports__28__metadata.json new file mode 100644 index 00000000..6a2becd4 --- /dev/null +++ b/metadata/Passports__28__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__13__metadata.json b/metadata/Payslips__13__metadata.json new file mode 100644 index 00000000..464339be --- /dev/null +++ b/metadata/Payslips__13__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__34__metadata.json b/metadata/PurchaseOrders__34__metadata.json new file mode 100644 index 00000000..e65e593a --- /dev/null +++ b/metadata/PurchaseOrders__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__35__metadata.json b/metadata/Receipts__35__metadata.json new file mode 100644 index 00000000..f9aba515 --- /dev/null +++ b/metadata/Receipts__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__27__metadata.json b/metadata/RemittanceAdvices__27__metadata.json new file mode 100644 index 00000000..31c7f6cb --- /dev/null +++ b/metadata/RemittanceAdvices__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__20__metadata.json b/metadata/UiPathDocumentOCR_CPU__20__metadata.json new file mode 100644 index 00000000..c999cbae --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__20__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.4.9", + "imagePath": "du-doc-ocr-cpu:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__26__metadata.json b/metadata/UiPathDocumentOCR__26__metadata.json new file mode 100644 index 00000000..b2833ce7 --- /dev/null +++ b/metadata/UiPathDocumentOCR__26__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.9", + "imagePath": "du-doc-ocr:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__34__metadata.json b/metadata/UtilityBills__34__metadata.json new file mode 100644 index 00000000..5f719a62 --- /dev/null +++ b/metadata/UtilityBills__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__24__metadata.json b/metadata/VehicleTitles__24__metadata.json new file mode 100644 index 00000000..5f148f61 --- /dev/null +++ b/metadata/VehicleTitles__24__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__27__metadata.json b/metadata/W2__27__metadata.json new file mode 100644 index 00000000..d82da0b2 --- /dev/null +++ b/metadata/W2__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__27__metadata.json b/metadata/W9__27__metadata.json new file mode 100644 index 00000000..53a0b835 --- /dev/null +++ b/metadata/W9__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.9", + "imagePath": "du-semistructured:v23.4-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From f9f9d1471c6ac84db06f35bb3ba4e35de1dbb35c Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Tue, 24 Sep 2024 17:18:11 +0300 Subject: [PATCH 206/267] [AS] [24 OCT CU] [23.10.6] Add metadata for 23.10.6 DU models --- metadata/1040ScheduleC__5__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__5__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__5__metadata.json | 33 +++++++++++++++++++ metadata/1040__25__metadata.json | 33 +++++++++++++++++++ metadata/4506T__27__metadata.json | 33 +++++++++++++++++++ metadata/990__27__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__27__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__25__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__25__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__25__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__25__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__25__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__25__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__14__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__14__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__14__metadata.json | 33 +++++++++++++++++++ metadata/Checks__25__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__14__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__27__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__36__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__14__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__27__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__25__metadata.json | 32 ++++++++++++++++++ metadata/I9__27__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__29__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__35__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__28__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__14__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__36__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__33__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__25__metadata.json | 32 ++++++++++++++++++ metadata/Passports__29__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__14__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__35__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__36__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__28__metadata.json | 33 +++++++++++++++++++ metadata/UB04__5__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__21__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__27__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__35__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__25__metadata.json | 32 ++++++++++++++++++ metadata/W2__28__metadata.json | 33 +++++++++++++++++++ metadata/W9__28__metadata.json | 33 +++++++++++++++++++ 43 files changed, 1391 insertions(+) create mode 100644 metadata/1040ScheduleC__5__metadata.json create mode 100644 metadata/1040ScheduleD__5__metadata.json create mode 100644 metadata/1040ScheduleE__5__metadata.json create mode 100644 metadata/1040__25__metadata.json create mode 100644 metadata/4506T__27__metadata.json create mode 100644 metadata/990__27__metadata.json create mode 100644 metadata/Acord125__27__metadata.json create mode 100644 metadata/Acord126__25__metadata.json create mode 100644 metadata/Acord131__25__metadata.json create mode 100644 metadata/Acord140__25__metadata.json create mode 100644 metadata/Acord25__25__metadata.json create mode 100644 metadata/BankStatements__25__metadata.json create mode 100644 metadata/BillsOfLading__25__metadata.json create mode 100644 metadata/CMS1500__14__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__14__metadata.json create mode 100644 metadata/CertificatesOfOrigin__14__metadata.json create mode 100644 metadata/Checks__25__metadata.json create mode 100644 metadata/ChildrenProductCertificates__14__metadata.json create mode 100644 metadata/DocumentClassifier__27__metadata.json create mode 100644 metadata/DocumentUnderstanding__36__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__14__metadata.json create mode 100644 metadata/FM1003__27__metadata.json create mode 100644 metadata/FinancialStatements__25__metadata.json create mode 100644 metadata/I9__27__metadata.json create mode 100644 metadata/IDCards__29__metadata.json create mode 100644 metadata/IndianInvoices__35__metadata.json create mode 100644 metadata/InvoicesChina__28__metadata.json create mode 100644 metadata/InvoicesShipping__14__metadata.json create mode 100644 metadata/Invoices__36__metadata.json create mode 100644 metadata/JapaneseInvoices__33__metadata.json create mode 100644 metadata/PackingLists__25__metadata.json create mode 100644 metadata/Passports__29__metadata.json create mode 100644 metadata/Payslips__14__metadata.json create mode 100644 metadata/PurchaseOrders__35__metadata.json create mode 100644 metadata/Receipts__36__metadata.json create mode 100644 metadata/RemittanceAdvices__28__metadata.json create mode 100644 metadata/UB04__5__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__21__metadata.json create mode 100644 metadata/UiPathDocumentOCR__27__metadata.json create mode 100644 metadata/UtilityBills__35__metadata.json create mode 100644 metadata/VehicleTitles__25__metadata.json create mode 100644 metadata/W2__28__metadata.json create mode 100644 metadata/W9__28__metadata.json diff --git a/metadata/1040ScheduleC__5__metadata.json b/metadata/1040ScheduleC__5__metadata.json new file mode 100644 index 00000000..181352b2 --- /dev/null +++ b/metadata/1040ScheduleC__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__5__metadata.json b/metadata/1040ScheduleD__5__metadata.json new file mode 100644 index 00000000..c48fa778 --- /dev/null +++ b/metadata/1040ScheduleD__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__5__metadata.json b/metadata/1040ScheduleE__5__metadata.json new file mode 100644 index 00000000..457b668f --- /dev/null +++ b/metadata/1040ScheduleE__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__25__metadata.json b/metadata/1040__25__metadata.json new file mode 100644 index 00000000..b9628be8 --- /dev/null +++ b/metadata/1040__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__27__metadata.json b/metadata/4506T__27__metadata.json new file mode 100644 index 00000000..bfb04dda --- /dev/null +++ b/metadata/4506T__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/990__27__metadata.json b/metadata/990__27__metadata.json new file mode 100644 index 00000000..2cce889a --- /dev/null +++ b/metadata/990__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__27__metadata.json b/metadata/Acord125__27__metadata.json new file mode 100644 index 00000000..446937ae --- /dev/null +++ b/metadata/Acord125__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__25__metadata.json b/metadata/Acord126__25__metadata.json new file mode 100644 index 00000000..80275b64 --- /dev/null +++ b/metadata/Acord126__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__25__metadata.json b/metadata/Acord131__25__metadata.json new file mode 100644 index 00000000..51c942f6 --- /dev/null +++ b/metadata/Acord131__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__25__metadata.json b/metadata/Acord140__25__metadata.json new file mode 100644 index 00000000..7406b288 --- /dev/null +++ b/metadata/Acord140__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__25__metadata.json b/metadata/Acord25__25__metadata.json new file mode 100644 index 00000000..8c050124 --- /dev/null +++ b/metadata/Acord25__25__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__25__metadata.json b/metadata/BankStatements__25__metadata.json new file mode 100644 index 00000000..a4a6dc38 --- /dev/null +++ b/metadata/BankStatements__25__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__25__metadata.json b/metadata/BillsOfLading__25__metadata.json new file mode 100644 index 00000000..e6abd9ac --- /dev/null +++ b/metadata/BillsOfLading__25__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__14__metadata.json b/metadata/CMS1500__14__metadata.json new file mode 100644 index 00000000..ed3331cf --- /dev/null +++ b/metadata/CMS1500__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__14__metadata.json b/metadata/CertificatesOfIncorporation__14__metadata.json new file mode 100644 index 00000000..5808ae79 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__14__metadata.json b/metadata/CertificatesOfOrigin__14__metadata.json new file mode 100644 index 00000000..47156822 --- /dev/null +++ b/metadata/CertificatesOfOrigin__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__25__metadata.json b/metadata/Checks__25__metadata.json new file mode 100644 index 00000000..e3e3438a --- /dev/null +++ b/metadata/Checks__25__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__14__metadata.json b/metadata/ChildrenProductCertificates__14__metadata.json new file mode 100644 index 00000000..5480e27c --- /dev/null +++ b/metadata/ChildrenProductCertificates__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__27__metadata.json b/metadata/DocumentClassifier__27__metadata.json new file mode 100644 index 00000000..6c90f48f --- /dev/null +++ b/metadata/DocumentClassifier__27__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.6", + "imagePath": "du-ml-document-type-text-classifier:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__36__metadata.json b/metadata/DocumentUnderstanding__36__metadata.json new file mode 100644 index 00000000..5ea2b5ac --- /dev/null +++ b/metadata/DocumentUnderstanding__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__14__metadata.json b/metadata/EUDeclarationOfConformity__14__metadata.json new file mode 100644 index 00000000..cbbf78ec --- /dev/null +++ b/metadata/EUDeclarationOfConformity__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__27__metadata.json b/metadata/FM1003__27__metadata.json new file mode 100644 index 00000000..1c96dcf1 --- /dev/null +++ b/metadata/FM1003__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__25__metadata.json b/metadata/FinancialStatements__25__metadata.json new file mode 100644 index 00000000..8070d63b --- /dev/null +++ b/metadata/FinancialStatements__25__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__27__metadata.json b/metadata/I9__27__metadata.json new file mode 100644 index 00000000..91bb2629 --- /dev/null +++ b/metadata/I9__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__29__metadata.json b/metadata/IDCards__29__metadata.json new file mode 100644 index 00000000..cd65ace4 --- /dev/null +++ b/metadata/IDCards__29__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__35__metadata.json b/metadata/IndianInvoices__35__metadata.json new file mode 100644 index 00000000..108e2779 --- /dev/null +++ b/metadata/IndianInvoices__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__28__metadata.json b/metadata/InvoicesChina__28__metadata.json new file mode 100644 index 00000000..ed06e576 --- /dev/null +++ b/metadata/InvoicesChina__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesShipping__14__metadata.json b/metadata/InvoicesShipping__14__metadata.json new file mode 100644 index 00000000..ac880980 --- /dev/null +++ b/metadata/InvoicesShipping__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__36__metadata.json b/metadata/Invoices__36__metadata.json new file mode 100644 index 00000000..3eaf2459 --- /dev/null +++ b/metadata/Invoices__36__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__33__metadata.json b/metadata/JapaneseInvoices__33__metadata.json new file mode 100644 index 00000000..084ebda8 --- /dev/null +++ b/metadata/JapaneseInvoices__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__25__metadata.json b/metadata/PackingLists__25__metadata.json new file mode 100644 index 00000000..9993afbb --- /dev/null +++ b/metadata/PackingLists__25__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__29__metadata.json b/metadata/Passports__29__metadata.json new file mode 100644 index 00000000..d397661d --- /dev/null +++ b/metadata/Passports__29__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__14__metadata.json b/metadata/Payslips__14__metadata.json new file mode 100644 index 00000000..30e6c1a0 --- /dev/null +++ b/metadata/Payslips__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__35__metadata.json b/metadata/PurchaseOrders__35__metadata.json new file mode 100644 index 00000000..c2e379ec --- /dev/null +++ b/metadata/PurchaseOrders__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__36__metadata.json b/metadata/Receipts__36__metadata.json new file mode 100644 index 00000000..e38bf929 --- /dev/null +++ b/metadata/Receipts__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__28__metadata.json b/metadata/RemittanceAdvices__28__metadata.json new file mode 100644 index 00000000..ddc6f796 --- /dev/null +++ b/metadata/RemittanceAdvices__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__5__metadata.json b/metadata/UB04__5__metadata.json new file mode 100644 index 00000000..6e6d253f --- /dev/null +++ b/metadata/UB04__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__21__metadata.json b/metadata/UiPathDocumentOCR_CPU__21__metadata.json new file mode 100644 index 00000000..b3fac76e --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__21__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "23.10.6", + "imagePath": "du-doc-ocr-cpu:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__27__metadata.json b/metadata/UiPathDocumentOCR__27__metadata.json new file mode 100644 index 00000000..731e7b08 --- /dev/null +++ b/metadata/UiPathDocumentOCR__27__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.6", + "imagePath": "du-doc-ocr:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__35__metadata.json b/metadata/UtilityBills__35__metadata.json new file mode 100644 index 00000000..29a879e7 --- /dev/null +++ b/metadata/UtilityBills__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__25__metadata.json b/metadata/VehicleTitles__25__metadata.json new file mode 100644 index 00000000..e21b19b4 --- /dev/null +++ b/metadata/VehicleTitles__25__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__28__metadata.json b/metadata/W2__28__metadata.json new file mode 100644 index 00000000..06b79bf0 --- /dev/null +++ b/metadata/W2__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__28__metadata.json b/metadata/W9__28__metadata.json new file mode 100644 index 00000000..68571d85 --- /dev/null +++ b/metadata/W9__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "23.10.6", + "imagePath": "du-semistructured:v23.10-09.21-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From 8409cec4189657c1a77a53f41bae5d9aa9ccf01d Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Wed, 25 Sep 2024 07:59:41 +0300 Subject: [PATCH 207/267] [AS] [24 OCT CU] [24.10.0] Add metadata for 24.10.0 DU models --- metadata/1040ScheduleC__6__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__6__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__6__metadata.json | 33 +++++++++++++++++++ metadata/1040__26__metadata.json | 33 +++++++++++++++++++ metadata/1040x__1__metadata.json | 33 +++++++++++++++++++ metadata/3949a__1__metadata.json | 33 +++++++++++++++++++ metadata/4506T__28__metadata.json | 33 +++++++++++++++++++ metadata/709__1__metadata.json | 33 +++++++++++++++++++ metadata/941x__1__metadata.json | 33 +++++++++++++++++++ metadata/9465__1__metadata.json | 33 +++++++++++++++++++ metadata/990__28__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__28__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__26__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__26__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__26__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__26__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__26__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__26__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__15__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__15__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__15__metadata.json | 33 +++++++++++++++++++ metadata/Checks__26__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__15__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__28__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__37__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__15__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__28__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__26__metadata.json | 32 ++++++++++++++++++ metadata/I9__28__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__30__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__36__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__29__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesHebrew__1__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__15__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__37__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__34__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__26__metadata.json | 32 ++++++++++++++++++ metadata/Passports__30__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__15__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__36__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__37__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__29__metadata.json | 33 +++++++++++++++++++ metadata/UB04__6__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__22__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__28__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__36__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__26__metadata.json | 32 ++++++++++++++++++ metadata/W2__29__metadata.json | 33 +++++++++++++++++++ metadata/W9__29__metadata.json | 33 +++++++++++++++++++ 49 files changed, 1589 insertions(+) create mode 100644 metadata/1040ScheduleC__6__metadata.json create mode 100644 metadata/1040ScheduleD__6__metadata.json create mode 100644 metadata/1040ScheduleE__6__metadata.json create mode 100644 metadata/1040__26__metadata.json create mode 100644 metadata/1040x__1__metadata.json create mode 100644 metadata/3949a__1__metadata.json create mode 100644 metadata/4506T__28__metadata.json create mode 100644 metadata/709__1__metadata.json create mode 100644 metadata/941x__1__metadata.json create mode 100644 metadata/9465__1__metadata.json create mode 100644 metadata/990__28__metadata.json create mode 100644 metadata/Acord125__28__metadata.json create mode 100644 metadata/Acord126__26__metadata.json create mode 100644 metadata/Acord131__26__metadata.json create mode 100644 metadata/Acord140__26__metadata.json create mode 100644 metadata/Acord25__26__metadata.json create mode 100644 metadata/BankStatements__26__metadata.json create mode 100644 metadata/BillsOfLading__26__metadata.json create mode 100644 metadata/CMS1500__15__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__15__metadata.json create mode 100644 metadata/CertificatesOfOrigin__15__metadata.json create mode 100644 metadata/Checks__26__metadata.json create mode 100644 metadata/ChildrenProductCertificates__15__metadata.json create mode 100644 metadata/DocumentClassifier__28__metadata.json create mode 100644 metadata/DocumentUnderstanding__37__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__15__metadata.json create mode 100644 metadata/FM1003__28__metadata.json create mode 100644 metadata/FinancialStatements__26__metadata.json create mode 100644 metadata/I9__28__metadata.json create mode 100644 metadata/IDCards__30__metadata.json create mode 100644 metadata/IndianInvoices__36__metadata.json create mode 100644 metadata/InvoicesChina__29__metadata.json create mode 100644 metadata/InvoicesHebrew__1__metadata.json create mode 100644 metadata/InvoicesShipping__15__metadata.json create mode 100644 metadata/Invoices__37__metadata.json create mode 100644 metadata/JapaneseInvoices__34__metadata.json create mode 100644 metadata/PackingLists__26__metadata.json create mode 100644 metadata/Passports__30__metadata.json create mode 100644 metadata/Payslips__15__metadata.json create mode 100644 metadata/PurchaseOrders__36__metadata.json create mode 100644 metadata/Receipts__37__metadata.json create mode 100644 metadata/RemittanceAdvices__29__metadata.json create mode 100644 metadata/UB04__6__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__22__metadata.json create mode 100644 metadata/UiPathDocumentOCR__28__metadata.json create mode 100644 metadata/UtilityBills__36__metadata.json create mode 100644 metadata/VehicleTitles__26__metadata.json create mode 100644 metadata/W2__29__metadata.json create mode 100644 metadata/W9__29__metadata.json diff --git a/metadata/1040ScheduleC__6__metadata.json b/metadata/1040ScheduleC__6__metadata.json new file mode 100644 index 00000000..40ab8d26 --- /dev/null +++ b/metadata/1040ScheduleC__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__6__metadata.json b/metadata/1040ScheduleD__6__metadata.json new file mode 100644 index 00000000..401de587 --- /dev/null +++ b/metadata/1040ScheduleD__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__6__metadata.json b/metadata/1040ScheduleE__6__metadata.json new file mode 100644 index 00000000..aa098c2e --- /dev/null +++ b/metadata/1040ScheduleE__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__26__metadata.json b/metadata/1040__26__metadata.json new file mode 100644 index 00000000..09d63ec4 --- /dev/null +++ b/metadata/1040__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/1040x__1__metadata.json b/metadata/1040x__1__metadata.json new file mode 100644 index 00000000..a86c17ec --- /dev/null +++ b/metadata/1040x__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040x" + } + ] +} diff --git a/metadata/3949a__1__metadata.json b/metadata/3949a__1__metadata.json new file mode 100644 index 00000000..f8941bed --- /dev/null +++ b/metadata/3949a__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_3949a", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/4506T__28__metadata.json b/metadata/4506T__28__metadata.json new file mode 100644 index 00000000..90a9eae2 --- /dev/null +++ b/metadata/4506T__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/709__1__metadata.json b/metadata/709__1__metadata.json new file mode 100644 index 00000000..510dc3aa --- /dev/null +++ b/metadata/709__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/941x__1__metadata.json b/metadata/941x__1__metadata.json new file mode 100644 index 00000000..82f43366 --- /dev/null +++ b/metadata/941x__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_941x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 941x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "941x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "941x" + } + ] +} diff --git a/metadata/9465__1__metadata.json b/metadata/9465__1__metadata.json new file mode 100644 index 00000000..6e38de07 --- /dev/null +++ b/metadata/9465__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/990__28__metadata.json b/metadata/990__28__metadata.json new file mode 100644 index 00000000..84d33a84 --- /dev/null +++ b/metadata/990__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_990", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__28__metadata.json b/metadata/Acord125__28__metadata.json new file mode 100644 index 00000000..1d17c7fe --- /dev/null +++ b/metadata/Acord125__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__26__metadata.json b/metadata/Acord126__26__metadata.json new file mode 100644 index 00000000..28542454 --- /dev/null +++ b/metadata/Acord126__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__26__metadata.json b/metadata/Acord131__26__metadata.json new file mode 100644 index 00000000..cafbfe05 --- /dev/null +++ b/metadata/Acord131__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__26__metadata.json b/metadata/Acord140__26__metadata.json new file mode 100644 index 00000000..b19c74fd --- /dev/null +++ b/metadata/Acord140__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__26__metadata.json b/metadata/Acord25__26__metadata.json new file mode 100644 index 00000000..01eeed0b --- /dev/null +++ b/metadata/Acord25__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__26__metadata.json b/metadata/BankStatements__26__metadata.json new file mode 100644 index 00000000..8cd2de91 --- /dev/null +++ b/metadata/BankStatements__26__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__26__metadata.json b/metadata/BillsOfLading__26__metadata.json new file mode 100644 index 00000000..f773bdb6 --- /dev/null +++ b/metadata/BillsOfLading__26__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__15__metadata.json b/metadata/CMS1500__15__metadata.json new file mode 100644 index 00000000..b25ddbae --- /dev/null +++ b/metadata/CMS1500__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__15__metadata.json b/metadata/CertificatesOfIncorporation__15__metadata.json new file mode 100644 index 00000000..e0fea6bb --- /dev/null +++ b/metadata/CertificatesOfIncorporation__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__15__metadata.json b/metadata/CertificatesOfOrigin__15__metadata.json new file mode 100644 index 00000000..5ac9c599 --- /dev/null +++ b/metadata/CertificatesOfOrigin__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__26__metadata.json b/metadata/Checks__26__metadata.json new file mode 100644 index 00000000..a9b304e5 --- /dev/null +++ b/metadata/Checks__26__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__15__metadata.json b/metadata/ChildrenProductCertificates__15__metadata.json new file mode 100644 index 00000000..2e5d869c --- /dev/null +++ b/metadata/ChildrenProductCertificates__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__28__metadata.json b/metadata/DocumentClassifier__28__metadata.json new file mode 100644 index 00000000..224eb1bd --- /dev/null +++ b/metadata/DocumentClassifier__28__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.0", + "imagePath": "du-ml-document-type-text-classifier:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__37__metadata.json b/metadata/DocumentUnderstanding__37__metadata.json new file mode 100644 index 00000000..6a6341e7 --- /dev/null +++ b/metadata/DocumentUnderstanding__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__15__metadata.json b/metadata/EUDeclarationOfConformity__15__metadata.json new file mode 100644 index 00000000..e79c51cd --- /dev/null +++ b/metadata/EUDeclarationOfConformity__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__28__metadata.json b/metadata/FM1003__28__metadata.json new file mode 100644 index 00000000..677bdac1 --- /dev/null +++ b/metadata/FM1003__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__26__metadata.json b/metadata/FinancialStatements__26__metadata.json new file mode 100644 index 00000000..67878956 --- /dev/null +++ b/metadata/FinancialStatements__26__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__28__metadata.json b/metadata/I9__28__metadata.json new file mode 100644 index 00000000..f2e72b39 --- /dev/null +++ b/metadata/I9__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__30__metadata.json b/metadata/IDCards__30__metadata.json new file mode 100644 index 00000000..f35a9163 --- /dev/null +++ b/metadata/IDCards__30__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__36__metadata.json b/metadata/IndianInvoices__36__metadata.json new file mode 100644 index 00000000..626db5e0 --- /dev/null +++ b/metadata/IndianInvoices__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__29__metadata.json b/metadata/InvoicesChina__29__metadata.json new file mode 100644 index 00000000..b110c830 --- /dev/null +++ b/metadata/InvoicesChina__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesHebrew__1__metadata.json b/metadata/InvoicesHebrew__1__metadata.json new file mode 100644 index 00000000..d9bb1a1f --- /dev/null +++ b/metadata/InvoicesHebrew__1__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 1, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__15__metadata.json b/metadata/InvoicesShipping__15__metadata.json new file mode 100644 index 00000000..a12c8a9e --- /dev/null +++ b/metadata/InvoicesShipping__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__37__metadata.json b/metadata/Invoices__37__metadata.json new file mode 100644 index 00000000..0598c4ad --- /dev/null +++ b/metadata/Invoices__37__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__34__metadata.json b/metadata/JapaneseInvoices__34__metadata.json new file mode 100644 index 00000000..c4631a63 --- /dev/null +++ b/metadata/JapaneseInvoices__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__26__metadata.json b/metadata/PackingLists__26__metadata.json new file mode 100644 index 00000000..2b799748 --- /dev/null +++ b/metadata/PackingLists__26__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__30__metadata.json b/metadata/Passports__30__metadata.json new file mode 100644 index 00000000..eb1c6b8a --- /dev/null +++ b/metadata/Passports__30__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__15__metadata.json b/metadata/Payslips__15__metadata.json new file mode 100644 index 00000000..77eb2eb6 --- /dev/null +++ b/metadata/Payslips__15__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__36__metadata.json b/metadata/PurchaseOrders__36__metadata.json new file mode 100644 index 00000000..dc79a236 --- /dev/null +++ b/metadata/PurchaseOrders__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__37__metadata.json b/metadata/Receipts__37__metadata.json new file mode 100644 index 00000000..98972fd6 --- /dev/null +++ b/metadata/Receipts__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__29__metadata.json b/metadata/RemittanceAdvices__29__metadata.json new file mode 100644 index 00000000..ca124baa --- /dev/null +++ b/metadata/RemittanceAdvices__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__6__metadata.json b/metadata/UB04__6__metadata.json new file mode 100644 index 00000000..4039e873 --- /dev/null +++ b/metadata/UB04__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__22__metadata.json b/metadata/UiPathDocumentOCR_CPU__22__metadata.json new file mode 100644 index 00000000..05833db8 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__22__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "24.10.0", + "imagePath": "du-doc-ocr-cpu:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__28__metadata.json b/metadata/UiPathDocumentOCR__28__metadata.json new file mode 100644 index 00000000..8ce30697 --- /dev/null +++ b/metadata/UiPathDocumentOCR__28__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.0", + "imagePath": "du-doc-ocr:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__36__metadata.json b/metadata/UtilityBills__36__metadata.json new file mode 100644 index 00000000..c0985fc1 --- /dev/null +++ b/metadata/UtilityBills__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__26__metadata.json b/metadata/VehicleTitles__26__metadata.json new file mode 100644 index 00000000..cf4014b1 --- /dev/null +++ b/metadata/VehicleTitles__26__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__29__metadata.json b/metadata/W2__29__metadata.json new file mode 100644 index 00000000..97d84f8f --- /dev/null +++ b/metadata/W2__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__29__metadata.json b/metadata/W9__29__metadata.json new file mode 100644 index 00000000..4f746c52 --- /dev/null +++ b/metadata/W9__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.0", + "imagePath": "du-semistructured:v24.10-9.21-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From 4f46fbe610ef1dc4c179aa823895883c47e5e7ab Mon Sep 17 00:00:00 2001 From: sorin-bolos Date: Wed, 25 Sep 2024 11:53:04 +0300 Subject: [PATCH 208/267] Remove "available in Preview" * from models that are not in preview --- metadata/1040__1__metadata.json | 2 +- metadata/1040__2__metadata.json | 2 +- metadata/1040__3__metadata.json | 2 +- metadata/1040__4__metadata.json | 2 +- metadata/1040__5__metadata.json | 2 +- metadata/1040__6__metadata.json | 2 +- metadata/1040__7__metadata.json | 2 +- metadata/4506T__1__metadata.json | 2 +- metadata/4506T__2__metadata.json | 2 +- metadata/4506T__3__metadata.json | 2 +- metadata/4506T__4__metadata.json | 2 +- metadata/4506T__5__metadata.json | 2 +- metadata/4506T__6__metadata.json | 2 +- metadata/4506T__7__metadata.json | 2 +- metadata/4506T__8__metadata.json | 2 +- metadata/4506T__9__metadata.json | 2 +- metadata/990__10__metadata.json | 2 +- metadata/990__11__metadata.json | 2 +- metadata/990__12__metadata.json | 2 +- metadata/990__13__metadata.json | 2 +- metadata/990__14__metadata.json | 2 +- metadata/990__15__metadata.json | 2 +- metadata/990__16__metadata.json | 2 +- metadata/990__17__metadata.json | 2 +- metadata/990__18__metadata.json | 2 +- metadata/990__19__metadata.json | 2 +- metadata/990__1__metadata.json | 2 +- metadata/990__20__metadata.json | 2 +- metadata/990__21__metadata.json | 2 +- metadata/990__22__metadata.json | 2 +- metadata/990__23__metadata.json | 2 +- metadata/990__24__metadata.json | 2 +- metadata/990__25__metadata.json | 2 +- metadata/990__26__metadata.json | 2 +- metadata/990__27__metadata.json | 2 +- metadata/990__28__metadata.json | 2 +- metadata/990__2__metadata.json | 2 +- metadata/990__3__metadata.json | 2 +- metadata/990__4__metadata.json | 2 +- metadata/990__5__metadata.json | 2 +- metadata/990__6__metadata.json | 2 +- metadata/990__7__metadata.json | 2 +- metadata/990__8__metadata.json | 2 +- metadata/990__9__metadata.json | 2 +- metadata/Acord125__1__metadata.json | 2 +- metadata/Acord125__2__metadata.json | 2 +- metadata/Acord125__3__metadata.json | 2 +- metadata/Acord125__4__metadata.json | 2 +- metadata/Acord125__5__metadata.json | 2 +- metadata/Acord125__6__metadata.json | 2 +- metadata/Acord125__7__metadata.json | 2 +- metadata/Acord125__8__metadata.json | 2 +- metadata/Acord125__9__metadata.json | 2 +- metadata/Acord126__1__metadata.json | 2 +- metadata/Acord126__2__metadata.json | 2 +- metadata/Acord126__3__metadata.json | 2 +- metadata/Acord126__4__metadata.json | 2 +- metadata/Acord126__5__metadata.json | 2 +- metadata/Acord126__6__metadata.json | 2 +- metadata/Acord126__7__metadata.json | 2 +- metadata/Acord131__1__metadata.json | 2 +- metadata/Acord131__2__metadata.json | 2 +- metadata/Acord131__3__metadata.json | 2 +- metadata/Acord131__4__metadata.json | 2 +- metadata/Acord131__5__metadata.json | 2 +- metadata/Acord131__6__metadata.json | 2 +- metadata/Acord131__7__metadata.json | 2 +- metadata/Acord140__1__metadata.json | 2 +- metadata/Acord140__2__metadata.json | 2 +- metadata/Acord140__3__metadata.json | 2 +- metadata/Acord140__4__metadata.json | 2 +- metadata/Acord140__5__metadata.json | 2 +- metadata/Acord140__6__metadata.json | 2 +- metadata/Acord140__7__metadata.json | 2 +- metadata/Acord25__1__metadata.json | 2 +- metadata/Acord25__2__metadata.json | 2 +- metadata/Acord25__3__metadata.json | 2 +- metadata/Acord25__4__metadata.json | 2 +- metadata/Acord25__5__metadata.json | 2 +- metadata/Acord25__6__metadata.json | 2 +- metadata/Acord25__7__metadata.json | 2 +- metadata/AustralianInvoices__7__metadata.json | 2 +- metadata/AustralianInvoices__8__metadata.json | 2 +- metadata/BankStatements__1__metadata.json | 2 +- metadata/BankStatements__2__metadata.json | 2 +- metadata/BankStatements__3__metadata.json | 2 +- metadata/BankStatements__4__metadata.json | 2 +- metadata/BankStatements__5__metadata.json | 2 +- metadata/BankStatements__6__metadata.json | 2 +- metadata/BankStatements__7__metadata.json | 2 +- metadata/BillsOfLading__1__metadata.json | 2 +- metadata/BillsOfLading__2__metadata.json | 2 +- metadata/BillsOfLading__3__metadata.json | 2 +- metadata/BillsOfLading__4__metadata.json | 2 +- metadata/BillsOfLading__5__metadata.json | 2 +- metadata/BillsOfLading__6__metadata.json | 2 +- metadata/BillsOfLading__7__metadata.json | 2 +- metadata/Checks__1__metadata.json | 2 +- metadata/Checks__2__metadata.json | 2 +- metadata/Checks__3__metadata.json | 2 +- metadata/Checks__4__metadata.json | 2 +- metadata/Checks__5__metadata.json | 2 +- metadata/Checks__6__metadata.json | 2 +- metadata/Checks__7__metadata.json | 2 +- metadata/DeliveryNotes__1__metadata.json | 2 +- metadata/DeliveryNotes__2__metadata.json | 2 +- metadata/DeliveryNotes__3__metadata.json | 2 +- metadata/FinancialStatements__1__metadata.json | 2 +- metadata/FinancialStatements__2__metadata.json | 2 +- metadata/FinancialStatements__3__metadata.json | 2 +- metadata/FinancialStatements__4__metadata.json | 2 +- metadata/FinancialStatements__5__metadata.json | 2 +- metadata/FinancialStatements__6__metadata.json | 2 +- metadata/FinancialStatements__7__metadata.json | 2 +- metadata/I9__1__metadata.json | 2 +- metadata/I9__2__metadata.json | 2 +- metadata/I9__3__metadata.json | 2 +- metadata/I9__4__metadata.json | 2 +- metadata/I9__5__metadata.json | 2 +- metadata/I9__6__metadata.json | 2 +- metadata/I9__7__metadata.json | 2 +- metadata/I9__8__metadata.json | 2 +- metadata/I9__9__metadata.json | 2 +- metadata/IDCards__10__metadata.json | 2 +- metadata/IDCards__11__metadata.json | 2 +- metadata/IDCards__1__metadata.json | 2 +- metadata/IDCards__2__metadata.json | 2 +- metadata/IDCards__3__metadata.json | 2 +- metadata/IDCards__4__metadata.json | 2 +- metadata/IDCards__5__metadata.json | 2 +- metadata/IDCards__6__metadata.json | 2 +- metadata/IDCards__7__metadata.json | 2 +- metadata/IDCards__8__metadata.json | 2 +- metadata/IDCards__9__metadata.json | 2 +- metadata/IndianInvoices__7__metadata.json | 2 +- metadata/IndianInvoices__8__metadata.json | 2 +- metadata/InvoicesChina__10__metadata.json | 2 +- metadata/InvoicesChina__1__metadata.json | 2 +- metadata/InvoicesChina__2__metadata.json | 2 +- metadata/InvoicesChina__3__metadata.json | 2 +- metadata/InvoicesChina__4__metadata.json | 2 +- metadata/InvoicesChina__5__metadata.json | 2 +- metadata/InvoicesChina__6__metadata.json | 2 +- metadata/InvoicesChina__7__metadata.json | 2 +- metadata/InvoicesChina__8__metadata.json | 2 +- metadata/InvoicesChina__9__metadata.json | 2 +- metadata/JapaneseInvoices__10__metadata.json | 2 +- metadata/JapaneseInvoices__11__metadata.json | 2 +- metadata/JapaneseInvoices__12__metadata.json | 2 +- metadata/JapaneseInvoices__13__metadata.json | 2 +- metadata/JapaneseInvoices__14__metadata.json | 2 +- metadata/JapaneseInvoices__15__metadata.json | 2 +- metadata/JapaneseInvoices__5__metadata.json | 2 +- metadata/JapaneseInvoices__6__metadata.json | 2 +- metadata/JapaneseInvoices__7__metadata.json | 2 +- metadata/JapaneseInvoices__8__metadata.json | 2 +- metadata/JapaneseInvoices__9__metadata.json | 2 +- metadata/PackingLists__1__metadata.json | 2 +- metadata/PackingLists__2__metadata.json | 2 +- metadata/PackingLists__3__metadata.json | 2 +- metadata/PackingLists__4__metadata.json | 2 +- metadata/PackingLists__5__metadata.json | 2 +- metadata/PackingLists__6__metadata.json | 2 +- metadata/PackingLists__7__metadata.json | 2 +- metadata/Passports__1__metadata.json | 2 +- metadata/Passports__2__metadata.json | 2 +- metadata/PurchaseOrders__7__metadata.json | 2 +- metadata/PurchaseOrders__8__metadata.json | 2 +- metadata/RemittanceAdvices__10__metadata.json | 2 +- metadata/RemittanceAdvices__1__metadata.json | 2 +- metadata/RemittanceAdvices__2__metadata.json | 2 +- metadata/RemittanceAdvices__3__metadata.json | 2 +- metadata/RemittanceAdvices__4__metadata.json | 2 +- metadata/RemittanceAdvices__5__metadata.json | 2 +- metadata/RemittanceAdvices__6__metadata.json | 2 +- metadata/RemittanceAdvices__7__metadata.json | 2 +- metadata/RemittanceAdvices__8__metadata.json | 2 +- metadata/RemittanceAdvices__9__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__10__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__11__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__12__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__13__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__14__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__15__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__16__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__17__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__18__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__19__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__1__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__20__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__21__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__22__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__2__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__3__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__4__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__5__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__6__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__7__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__8__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__9__metadata.json | 2 +- metadata/UtilityBills__11__metadata.json | 2 +- metadata/UtilityBills__12__metadata.json | 2 +- metadata/UtilityBills__13__metadata.json | 2 +- metadata/UtilityBills__14__metadata.json | 2 +- metadata/UtilityBills__15__metadata.json | 2 +- metadata/UtilityBills__16__metadata.json | 2 +- metadata/UtilityBills__17__metadata.json | 2 +- metadata/UtilityBills__7__metadata.json | 2 +- metadata/UtilityBills__8__metadata.json | 2 +- metadata/VehicleTitles__1__metadata.json | 2 +- metadata/VehicleTitles__2__metadata.json | 2 +- metadata/VehicleTitles__3__metadata.json | 2 +- metadata/VehicleTitles__4__metadata.json | 2 +- metadata/VehicleTitles__5__metadata.json | 2 +- metadata/VehicleTitles__6__metadata.json | 2 +- metadata/VehicleTitles__7__metadata.json | 2 +- metadata/W2__10__metadata.json | 2 +- metadata/W2__1__metadata.json | 2 +- metadata/W2__2__metadata.json | 2 +- metadata/W2__3__metadata.json | 2 +- metadata/W2__4__metadata.json | 2 +- metadata/W2__5__metadata.json | 2 +- metadata/W2__6__metadata.json | 2 +- metadata/W2__7__metadata.json | 2 +- metadata/W2__8__metadata.json | 2 +- metadata/W2__9__metadata.json | 2 +- metadata/W9__10__metadata.json | 2 +- metadata/W9__1__metadata.json | 2 +- metadata/W9__2__metadata.json | 2 +- metadata/W9__3__metadata.json | 2 +- metadata/W9__4__metadata.json | 2 +- metadata/W9__5__metadata.json | 2 +- metadata/W9__6__metadata.json | 2 +- metadata/W9__7__metadata.json | 2 +- metadata/W9__8__metadata.json | 2 +- metadata/W9__9__metadata.json | 2 +- 236 files changed, 236 insertions(+), 236 deletions(-) diff --git a/metadata/1040__1__metadata.json b/metadata/1040__1__metadata.json index 1743da33..a4cb8986 100644 --- a/metadata/1040__1__metadata.json +++ b/metadata/1040__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/1040__2__metadata.json b/metadata/1040__2__metadata.json index a63a276a..c1fc89b5 100644 --- a/metadata/1040__2__metadata.json +++ b/metadata/1040__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/1040__3__metadata.json b/metadata/1040__3__metadata.json index a871be30..9a645740 100644 --- a/metadata/1040__3__metadata.json +++ b/metadata/1040__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/1040__4__metadata.json b/metadata/1040__4__metadata.json index d905e146..216d346f 100644 --- a/metadata/1040__4__metadata.json +++ b/metadata/1040__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/1040__5__metadata.json b/metadata/1040__5__metadata.json index 803772e2..90090890 100644 --- a/metadata/1040__5__metadata.json +++ b/metadata/1040__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/1040__6__metadata.json b/metadata/1040__6__metadata.json index 4ce28539..6928bc0c 100644 --- a/metadata/1040__6__metadata.json +++ b/metadata/1040__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/1040__7__metadata.json b/metadata/1040__7__metadata.json index 5dbb381e..7294b3ee 100644 --- a/metadata/1040__7__metadata.json +++ b/metadata/1040__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__1__metadata.json b/metadata/4506T__1__metadata.json index 603f38df..1dbad804 100644 --- a/metadata/4506T__1__metadata.json +++ b/metadata/4506T__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__2__metadata.json b/metadata/4506T__2__metadata.json index 68f43187..0146aade 100644 --- a/metadata/4506T__2__metadata.json +++ b/metadata/4506T__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__3__metadata.json b/metadata/4506T__3__metadata.json index 8a7c37aa..8ac9459c 100644 --- a/metadata/4506T__3__metadata.json +++ b/metadata/4506T__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__4__metadata.json b/metadata/4506T__4__metadata.json index b4768e50..8765aff2 100644 --- a/metadata/4506T__4__metadata.json +++ b/metadata/4506T__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__5__metadata.json b/metadata/4506T__5__metadata.json index 932d1944..1dd2fda5 100644 --- a/metadata/4506T__5__metadata.json +++ b/metadata/4506T__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__6__metadata.json b/metadata/4506T__6__metadata.json index 63380b35..4bf7ceef 100644 --- a/metadata/4506T__6__metadata.json +++ b/metadata/4506T__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__7__metadata.json b/metadata/4506T__7__metadata.json index dd5aae9d..616c7cc4 100644 --- a/metadata/4506T__7__metadata.json +++ b/metadata/4506T__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__8__metadata.json b/metadata/4506T__8__metadata.json index 8747bf61..7fc08fde 100644 --- a/metadata/4506T__8__metadata.json +++ b/metadata/4506T__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/4506T__9__metadata.json b/metadata/4506T__9__metadata.json index dc1d0150..c44ab15b 100644 --- a/metadata/4506T__9__metadata.json +++ b/metadata/4506T__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__10__metadata.json b/metadata/990__10__metadata.json index 3c66f546..88024c42 100644 --- a/metadata/990__10__metadata.json +++ b/metadata/990__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__11__metadata.json b/metadata/990__11__metadata.json index f82f4e15..45d3cefd 100644 --- a/metadata/990__11__metadata.json +++ b/metadata/990__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__12__metadata.json b/metadata/990__12__metadata.json index c86f524b..b15cd611 100644 --- a/metadata/990__12__metadata.json +++ b/metadata/990__12__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__13__metadata.json b/metadata/990__13__metadata.json index 49bc396b..eff8a8a9 100644 --- a/metadata/990__13__metadata.json +++ b/metadata/990__13__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__14__metadata.json b/metadata/990__14__metadata.json index 5cc28ec0..5de6d25e 100644 --- a/metadata/990__14__metadata.json +++ b/metadata/990__14__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__15__metadata.json b/metadata/990__15__metadata.json index bdb2fe50..a2ec6c6e 100644 --- a/metadata/990__15__metadata.json +++ b/metadata/990__15__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__16__metadata.json b/metadata/990__16__metadata.json index 64ea0577..3d213969 100644 --- a/metadata/990__16__metadata.json +++ b/metadata/990__16__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__17__metadata.json b/metadata/990__17__metadata.json index 7bd29cd8..ec6a63cf 100644 --- a/metadata/990__17__metadata.json +++ b/metadata/990__17__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__18__metadata.json b/metadata/990__18__metadata.json index 6af3e912..7ca09dd9 100644 --- a/metadata/990__18__metadata.json +++ b/metadata/990__18__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__19__metadata.json b/metadata/990__19__metadata.json index 98372227..b04f57cb 100644 --- a/metadata/990__19__metadata.json +++ b/metadata/990__19__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__1__metadata.json b/metadata/990__1__metadata.json index 6203cc40..a2244df3 100644 --- a/metadata/990__1__metadata.json +++ b/metadata/990__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__20__metadata.json b/metadata/990__20__metadata.json index da83986d..6c7b989e 100644 --- a/metadata/990__20__metadata.json +++ b/metadata/990__20__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__21__metadata.json b/metadata/990__21__metadata.json index 13520ff9..fcfd7c7e 100644 --- a/metadata/990__21__metadata.json +++ b/metadata/990__21__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__22__metadata.json b/metadata/990__22__metadata.json index ba5c2410..a17e886e 100644 --- a/metadata/990__22__metadata.json +++ b/metadata/990__22__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__23__metadata.json b/metadata/990__23__metadata.json index 7f011847..e3e4aae6 100644 --- a/metadata/990__23__metadata.json +++ b/metadata/990__23__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__24__metadata.json b/metadata/990__24__metadata.json index b857c078..667c8747 100644 --- a/metadata/990__24__metadata.json +++ b/metadata/990__24__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__25__metadata.json b/metadata/990__25__metadata.json index 0d92ffab..c86ad15a 100644 --- a/metadata/990__25__metadata.json +++ b/metadata/990__25__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__26__metadata.json b/metadata/990__26__metadata.json index a21d447a..36760200 100644 --- a/metadata/990__26__metadata.json +++ b/metadata/990__26__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__27__metadata.json b/metadata/990__27__metadata.json index 2cce889a..08f26500 100644 --- a/metadata/990__27__metadata.json +++ b/metadata/990__27__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__28__metadata.json b/metadata/990__28__metadata.json index 84d33a84..cb3064eb 100644 --- a/metadata/990__28__metadata.json +++ b/metadata/990__28__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__2__metadata.json b/metadata/990__2__metadata.json index 35366159..12905d95 100644 --- a/metadata/990__2__metadata.json +++ b/metadata/990__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__3__metadata.json b/metadata/990__3__metadata.json index c2c069a6..d6dd8d93 100644 --- a/metadata/990__3__metadata.json +++ b/metadata/990__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__4__metadata.json b/metadata/990__4__metadata.json index 73251f23..0bd33e36 100644 --- a/metadata/990__4__metadata.json +++ b/metadata/990__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__5__metadata.json b/metadata/990__5__metadata.json index e35fd81b..1806a373 100644 --- a/metadata/990__5__metadata.json +++ b/metadata/990__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__6__metadata.json b/metadata/990__6__metadata.json index 59e05251..37f124ef 100644 --- a/metadata/990__6__metadata.json +++ b/metadata/990__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__7__metadata.json b/metadata/990__7__metadata.json index 7c48c714..f9481b1e 100644 --- a/metadata/990__7__metadata.json +++ b/metadata/990__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__8__metadata.json b/metadata/990__8__metadata.json index 98015a5e..33a7c56c 100644 --- a/metadata/990__8__metadata.json +++ b/metadata/990__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/990__9__metadata.json b/metadata/990__9__metadata.json index 46024f99..53ec13be 100644 --- a/metadata/990__9__metadata.json +++ b/metadata/990__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__1__metadata.json b/metadata/Acord125__1__metadata.json index a011bb2e..9d45d829 100644 --- a/metadata/Acord125__1__metadata.json +++ b/metadata/Acord125__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__2__metadata.json b/metadata/Acord125__2__metadata.json index 8e8dba28..42f4d37d 100644 --- a/metadata/Acord125__2__metadata.json +++ b/metadata/Acord125__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__3__metadata.json b/metadata/Acord125__3__metadata.json index 0c67e31a..c1637941 100644 --- a/metadata/Acord125__3__metadata.json +++ b/metadata/Acord125__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__4__metadata.json b/metadata/Acord125__4__metadata.json index 90688ef8..09985e3b 100644 --- a/metadata/Acord125__4__metadata.json +++ b/metadata/Acord125__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__5__metadata.json b/metadata/Acord125__5__metadata.json index cfedc7a3..0a414db1 100644 --- a/metadata/Acord125__5__metadata.json +++ b/metadata/Acord125__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__6__metadata.json b/metadata/Acord125__6__metadata.json index de01b48c..9547fdb6 100644 --- a/metadata/Acord125__6__metadata.json +++ b/metadata/Acord125__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__7__metadata.json b/metadata/Acord125__7__metadata.json index a2347d51..9c8ea8b3 100644 --- a/metadata/Acord125__7__metadata.json +++ b/metadata/Acord125__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__8__metadata.json b/metadata/Acord125__8__metadata.json index a58fa764..d23ce2ed 100644 --- a/metadata/Acord125__8__metadata.json +++ b/metadata/Acord125__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord125__9__metadata.json b/metadata/Acord125__9__metadata.json index a6054fb5..235c19ab 100644 --- a/metadata/Acord125__9__metadata.json +++ b/metadata/Acord125__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__1__metadata.json b/metadata/Acord126__1__metadata.json index b37e7b6e..10bc6f7c 100644 --- a/metadata/Acord126__1__metadata.json +++ b/metadata/Acord126__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__2__metadata.json b/metadata/Acord126__2__metadata.json index 7108b44b..0e6542ba 100644 --- a/metadata/Acord126__2__metadata.json +++ b/metadata/Acord126__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__3__metadata.json b/metadata/Acord126__3__metadata.json index 516498ed..e045b3c0 100644 --- a/metadata/Acord126__3__metadata.json +++ b/metadata/Acord126__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__4__metadata.json b/metadata/Acord126__4__metadata.json index 36953e62..5c0fb483 100644 --- a/metadata/Acord126__4__metadata.json +++ b/metadata/Acord126__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__5__metadata.json b/metadata/Acord126__5__metadata.json index 86e0611c..192c160f 100644 --- a/metadata/Acord126__5__metadata.json +++ b/metadata/Acord126__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__6__metadata.json b/metadata/Acord126__6__metadata.json index 0ead12f1..8fde6c65 100644 --- a/metadata/Acord126__6__metadata.json +++ b/metadata/Acord126__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord126__7__metadata.json b/metadata/Acord126__7__metadata.json index 5e3bafc7..741b5ec8 100644 --- a/metadata/Acord126__7__metadata.json +++ b/metadata/Acord126__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord131__1__metadata.json b/metadata/Acord131__1__metadata.json index cb1c2feb..cde8a7af 100644 --- a/metadata/Acord131__1__metadata.json +++ b/metadata/Acord131__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord131__2__metadata.json b/metadata/Acord131__2__metadata.json index 33cf677f..14e4f046 100644 --- a/metadata/Acord131__2__metadata.json +++ b/metadata/Acord131__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord131__3__metadata.json b/metadata/Acord131__3__metadata.json index e766edf7..b386ff68 100644 --- a/metadata/Acord131__3__metadata.json +++ b/metadata/Acord131__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord131__4__metadata.json b/metadata/Acord131__4__metadata.json index 3fe34816..fb5ecf10 100644 --- a/metadata/Acord131__4__metadata.json +++ b/metadata/Acord131__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord131__5__metadata.json b/metadata/Acord131__5__metadata.json index 080e99fe..ba6cc156 100644 --- a/metadata/Acord131__5__metadata.json +++ b/metadata/Acord131__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord131__6__metadata.json b/metadata/Acord131__6__metadata.json index 2cbf72c0..d40f06f4 100644 --- a/metadata/Acord131__6__metadata.json +++ b/metadata/Acord131__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord131__7__metadata.json b/metadata/Acord131__7__metadata.json index 71b43237..39f58cdb 100644 --- a/metadata/Acord131__7__metadata.json +++ b/metadata/Acord131__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord140__1__metadata.json b/metadata/Acord140__1__metadata.json index b4876be3..2e288abb 100644 --- a/metadata/Acord140__1__metadata.json +++ b/metadata/Acord140__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord140__2__metadata.json b/metadata/Acord140__2__metadata.json index 9ca8c863..411bf8ba 100644 --- a/metadata/Acord140__2__metadata.json +++ b/metadata/Acord140__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord140__3__metadata.json b/metadata/Acord140__3__metadata.json index 0f6bcbd2..4637bec6 100644 --- a/metadata/Acord140__3__metadata.json +++ b/metadata/Acord140__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord140__4__metadata.json b/metadata/Acord140__4__metadata.json index 90909ee4..3fcb2c33 100644 --- a/metadata/Acord140__4__metadata.json +++ b/metadata/Acord140__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord140__5__metadata.json b/metadata/Acord140__5__metadata.json index d81e41e3..77685586 100644 --- a/metadata/Acord140__5__metadata.json +++ b/metadata/Acord140__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord140__6__metadata.json b/metadata/Acord140__6__metadata.json index f9f7b274..92c99956 100644 --- a/metadata/Acord140__6__metadata.json +++ b/metadata/Acord140__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord140__7__metadata.json b/metadata/Acord140__7__metadata.json index 7171ab0c..abab78d2 100644 --- a/metadata/Acord140__7__metadata.json +++ b/metadata/Acord140__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord25__1__metadata.json b/metadata/Acord25__1__metadata.json index 8b3bb33a..1a3adf66 100644 --- a/metadata/Acord25__1__metadata.json +++ b/metadata/Acord25__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord25__2__metadata.json b/metadata/Acord25__2__metadata.json index 3f7aa4fc..d1e3af53 100644 --- a/metadata/Acord25__2__metadata.json +++ b/metadata/Acord25__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord25__3__metadata.json b/metadata/Acord25__3__metadata.json index 916f3d1f..52dd6265 100644 --- a/metadata/Acord25__3__metadata.json +++ b/metadata/Acord25__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord25__4__metadata.json b/metadata/Acord25__4__metadata.json index 7c5ada45..398ef627 100644 --- a/metadata/Acord25__4__metadata.json +++ b/metadata/Acord25__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord25__5__metadata.json b/metadata/Acord25__5__metadata.json index 93d14b69..1bf1c9db 100644 --- a/metadata/Acord25__5__metadata.json +++ b/metadata/Acord25__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord25__6__metadata.json b/metadata/Acord25__6__metadata.json index 3fd8d40b..e1819805 100644 --- a/metadata/Acord25__6__metadata.json +++ b/metadata/Acord25__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/Acord25__7__metadata.json b/metadata/Acord25__7__metadata.json index a07e80c3..9981baee 100644 --- a/metadata/Acord25__7__metadata.json +++ b/metadata/Acord25__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json index 202eaa8d..75f07ae7 100644 --- a/metadata/AustralianInvoices__7__metadata.json +++ b/metadata/AustralianInvoices__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.6", diff --git a/metadata/AustralianInvoices__8__metadata.json b/metadata/AustralianInvoices__8__metadata.json index 179505be..895c9fe3 100644 --- a/metadata/AustralianInvoices__8__metadata.json +++ b/metadata/AustralianInvoices__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/BankStatements__1__metadata.json b/metadata/BankStatements__1__metadata.json index 3a4eba05..773b3547 100644 --- a/metadata/BankStatements__1__metadata.json +++ b/metadata/BankStatements__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BankStatements__2__metadata.json b/metadata/BankStatements__2__metadata.json index acf8d59a..3fecd0e0 100644 --- a/metadata/BankStatements__2__metadata.json +++ b/metadata/BankStatements__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BankStatements__3__metadata.json b/metadata/BankStatements__3__metadata.json index 329d0f75..e3022a34 100644 --- a/metadata/BankStatements__3__metadata.json +++ b/metadata/BankStatements__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BankStatements__4__metadata.json b/metadata/BankStatements__4__metadata.json index f3673a4d..73675762 100644 --- a/metadata/BankStatements__4__metadata.json +++ b/metadata/BankStatements__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BankStatements__5__metadata.json b/metadata/BankStatements__5__metadata.json index fb3df77f..70c26069 100644 --- a/metadata/BankStatements__5__metadata.json +++ b/metadata/BankStatements__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BankStatements__6__metadata.json b/metadata/BankStatements__6__metadata.json index 0e099c37..8055f70b 100644 --- a/metadata/BankStatements__6__metadata.json +++ b/metadata/BankStatements__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BankStatements__7__metadata.json b/metadata/BankStatements__7__metadata.json index 005a32d0..3f0b7d9f 100644 --- a/metadata/BankStatements__7__metadata.json +++ b/metadata/BankStatements__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BillsOfLading__1__metadata.json b/metadata/BillsOfLading__1__metadata.json index ed4e8976..6c1af8b5 100644 --- a/metadata/BillsOfLading__1__metadata.json +++ b/metadata/BillsOfLading__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BillsOfLading__2__metadata.json b/metadata/BillsOfLading__2__metadata.json index f3b6527c..64724c4e 100644 --- a/metadata/BillsOfLading__2__metadata.json +++ b/metadata/BillsOfLading__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BillsOfLading__3__metadata.json b/metadata/BillsOfLading__3__metadata.json index 16fb080f..319d39f6 100644 --- a/metadata/BillsOfLading__3__metadata.json +++ b/metadata/BillsOfLading__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BillsOfLading__4__metadata.json b/metadata/BillsOfLading__4__metadata.json index 49708b79..fe8d65d1 100644 --- a/metadata/BillsOfLading__4__metadata.json +++ b/metadata/BillsOfLading__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BillsOfLading__5__metadata.json b/metadata/BillsOfLading__5__metadata.json index 6a9d4d52..727e64ed 100644 --- a/metadata/BillsOfLading__5__metadata.json +++ b/metadata/BillsOfLading__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BillsOfLading__6__metadata.json b/metadata/BillsOfLading__6__metadata.json index 93d96615..b2d9ffd9 100644 --- a/metadata/BillsOfLading__6__metadata.json +++ b/metadata/BillsOfLading__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/BillsOfLading__7__metadata.json b/metadata/BillsOfLading__7__metadata.json index 5c525cb8..bf842227 100644 --- a/metadata/BillsOfLading__7__metadata.json +++ b/metadata/BillsOfLading__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Checks__1__metadata.json b/metadata/Checks__1__metadata.json index 3736ba21..79224a2d 100644 --- a/metadata/Checks__1__metadata.json +++ b/metadata/Checks__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Checks__2__metadata.json b/metadata/Checks__2__metadata.json index 5ddff698..4d27d8d8 100644 --- a/metadata/Checks__2__metadata.json +++ b/metadata/Checks__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Checks__3__metadata.json b/metadata/Checks__3__metadata.json index c88f494c..37c09400 100644 --- a/metadata/Checks__3__metadata.json +++ b/metadata/Checks__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Checks__4__metadata.json b/metadata/Checks__4__metadata.json index e5b1cd52..83c350f6 100644 --- a/metadata/Checks__4__metadata.json +++ b/metadata/Checks__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Checks__5__metadata.json b/metadata/Checks__5__metadata.json index 65741835..dec98fe2 100644 --- a/metadata/Checks__5__metadata.json +++ b/metadata/Checks__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Checks__6__metadata.json b/metadata/Checks__6__metadata.json index 8f165c11..94b42654 100644 --- a/metadata/Checks__6__metadata.json +++ b/metadata/Checks__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Checks__7__metadata.json b/metadata/Checks__7__metadata.json index 0dc35537..4e332663 100644 --- a/metadata/Checks__7__metadata.json +++ b/metadata/Checks__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/DeliveryNotes__1__metadata.json b/metadata/DeliveryNotes__1__metadata.json index 9c43cd0d..e12d4ecd 100644 --- a/metadata/DeliveryNotes__1__metadata.json +++ b/metadata/DeliveryNotes__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/DeliveryNotes__2__metadata.json b/metadata/DeliveryNotes__2__metadata.json index 013b5d61..c75f8f0a 100644 --- a/metadata/DeliveryNotes__2__metadata.json +++ b/metadata/DeliveryNotes__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/DeliveryNotes__3__metadata.json b/metadata/DeliveryNotes__3__metadata.json index 3869dafc..b3786de2 100644 --- a/metadata/DeliveryNotes__3__metadata.json +++ b/metadata/DeliveryNotes__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/FinancialStatements__1__metadata.json b/metadata/FinancialStatements__1__metadata.json index 3ced5ce3..363f8f71 100644 --- a/metadata/FinancialStatements__1__metadata.json +++ b/metadata/FinancialStatements__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/FinancialStatements__2__metadata.json b/metadata/FinancialStatements__2__metadata.json index 6eb1f789..3a63d054 100644 --- a/metadata/FinancialStatements__2__metadata.json +++ b/metadata/FinancialStatements__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/FinancialStatements__3__metadata.json b/metadata/FinancialStatements__3__metadata.json index e60085f3..e73ae935 100644 --- a/metadata/FinancialStatements__3__metadata.json +++ b/metadata/FinancialStatements__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/FinancialStatements__4__metadata.json b/metadata/FinancialStatements__4__metadata.json index b2d6e4f9..00d0dc8d 100644 --- a/metadata/FinancialStatements__4__metadata.json +++ b/metadata/FinancialStatements__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/FinancialStatements__5__metadata.json b/metadata/FinancialStatements__5__metadata.json index 50299dfe..138b74d2 100644 --- a/metadata/FinancialStatements__5__metadata.json +++ b/metadata/FinancialStatements__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/FinancialStatements__6__metadata.json b/metadata/FinancialStatements__6__metadata.json index 6a580b9f..f601ea62 100644 --- a/metadata/FinancialStatements__6__metadata.json +++ b/metadata/FinancialStatements__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/FinancialStatements__7__metadata.json b/metadata/FinancialStatements__7__metadata.json index 42cbc41b..4434faac 100644 --- a/metadata/FinancialStatements__7__metadata.json +++ b/metadata/FinancialStatements__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/I9__1__metadata.json b/metadata/I9__1__metadata.json index bd65b8b1..d8f4d3b9 100644 --- a/metadata/I9__1__metadata.json +++ b/metadata/I9__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__2__metadata.json b/metadata/I9__2__metadata.json index 10f76ada..cef8813f 100644 --- a/metadata/I9__2__metadata.json +++ b/metadata/I9__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__3__metadata.json b/metadata/I9__3__metadata.json index 0dcb0d7b..e310dc91 100644 --- a/metadata/I9__3__metadata.json +++ b/metadata/I9__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__4__metadata.json b/metadata/I9__4__metadata.json index 261906fe..df54376a 100644 --- a/metadata/I9__4__metadata.json +++ b/metadata/I9__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__5__metadata.json b/metadata/I9__5__metadata.json index 6e2d20c2..dcda77e4 100644 --- a/metadata/I9__5__metadata.json +++ b/metadata/I9__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__6__metadata.json b/metadata/I9__6__metadata.json index fe718d9b..cece924c 100644 --- a/metadata/I9__6__metadata.json +++ b/metadata/I9__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__7__metadata.json b/metadata/I9__7__metadata.json index f135d665..38c6d532 100644 --- a/metadata/I9__7__metadata.json +++ b/metadata/I9__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__8__metadata.json b/metadata/I9__8__metadata.json index a32100a4..8c02dfb8 100644 --- a/metadata/I9__8__metadata.json +++ b/metadata/I9__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/I9__9__metadata.json b/metadata/I9__9__metadata.json index f7f317fc..690074a2 100644 --- a/metadata/I9__9__metadata.json +++ b/metadata/I9__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/IDCards__10__metadata.json b/metadata/IDCards__10__metadata.json index 5342a822..1875f4a5 100644 --- a/metadata/IDCards__10__metadata.json +++ b/metadata/IDCards__10__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", diff --git a/metadata/IDCards__11__metadata.json b/metadata/IDCards__11__metadata.json index 6de10b80..5480f747 100644 --- a/metadata/IDCards__11__metadata.json +++ b/metadata/IDCards__11__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", diff --git a/metadata/IDCards__1__metadata.json b/metadata/IDCards__1__metadata.json index 7077b96d..a824d143 100644 --- a/metadata/IDCards__1__metadata.json +++ b/metadata/IDCards__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Model: 21.5.6", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 1, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IDCards__2__metadata.json b/metadata/IDCards__2__metadata.json index 62aaa105..59de04b1 100644 --- a/metadata/IDCards__2__metadata.json +++ b/metadata/IDCards__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Model: 21.10.10", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 1, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IDCards__3__metadata.json b/metadata/IDCards__3__metadata.json index 024955b9..73a9b740 100644 --- a/metadata/IDCards__3__metadata.json +++ b/metadata/IDCards__3__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IDCards__4__metadata.json b/metadata/IDCards__4__metadata.json index c1b5e386..1894365a 100644 --- a/metadata/IDCards__4__metadata.json +++ b/metadata/IDCards__4__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IDCards__5__metadata.json b/metadata/IDCards__5__metadata.json index 9c1bf801..2edc6492 100644 --- a/metadata/IDCards__5__metadata.json +++ b/metadata/IDCards__5__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IDCards__6__metadata.json b/metadata/IDCards__6__metadata.json index e8b618f5..c735bad2 100644 --- a/metadata/IDCards__6__metadata.json +++ b/metadata/IDCards__6__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IDCards__7__metadata.json b/metadata/IDCards__7__metadata.json index f18674e6..f63bd2c2 100644 --- a/metadata/IDCards__7__metadata.json +++ b/metadata/IDCards__7__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/IDCards__8__metadata.json b/metadata/IDCards__8__metadata.json index cac711f0..d6bdfb24 100644 --- a/metadata/IDCards__8__metadata.json +++ b/metadata/IDCards__8__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", diff --git a/metadata/IDCards__9__metadata.json b/metadata/IDCards__9__metadata.json index 62952238..ae427c7d 100644 --- a/metadata/IDCards__9__metadata.json +++ b/metadata/IDCards__9__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 1, - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "IDCards", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json index 9f8c94da..9b058dc1 100644 --- a/metadata/IndianInvoices__7__metadata.json +++ b/metadata/IndianInvoices__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.5", diff --git a/metadata/IndianInvoices__8__metadata.json b/metadata/IndianInvoices__8__metadata.json index 2ff849f1..e89c7640 100644 --- a/metadata/IndianInvoices__8__metadata.json +++ b/metadata/IndianInvoices__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/InvoicesChina__10__metadata.json b/metadata/InvoicesChina__10__metadata.json index 0af9e2e5..adf71fc7 100644 --- a/metadata/InvoicesChina__10__metadata.json +++ b/metadata/InvoicesChina__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__1__metadata.json b/metadata/InvoicesChina__1__metadata.json index 1c0670e5..4332d7c5 100644 --- a/metadata/InvoicesChina__1__metadata.json +++ b/metadata/InvoicesChina__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/InvoicesChina__2__metadata.json b/metadata/InvoicesChina__2__metadata.json index a5527c34..8858d3cc 100644 --- a/metadata/InvoicesChina__2__metadata.json +++ b/metadata/InvoicesChina__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__3__metadata.json b/metadata/InvoicesChina__3__metadata.json index 5986aeae..c73c0d08 100644 --- a/metadata/InvoicesChina__3__metadata.json +++ b/metadata/InvoicesChina__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__4__metadata.json b/metadata/InvoicesChina__4__metadata.json index 501ea16a..0b303caa 100644 --- a/metadata/InvoicesChina__4__metadata.json +++ b/metadata/InvoicesChina__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__5__metadata.json b/metadata/InvoicesChina__5__metadata.json index a0f53635..014144a8 100644 --- a/metadata/InvoicesChina__5__metadata.json +++ b/metadata/InvoicesChina__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__6__metadata.json b/metadata/InvoicesChina__6__metadata.json index 95884466..e9744fa9 100644 --- a/metadata/InvoicesChina__6__metadata.json +++ b/metadata/InvoicesChina__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__7__metadata.json b/metadata/InvoicesChina__7__metadata.json index 7ed675c7..8cb8c15e 100644 --- a/metadata/InvoicesChina__7__metadata.json +++ b/metadata/InvoicesChina__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__8__metadata.json b/metadata/InvoicesChina__8__metadata.json index 5187cbff..3bf04f7e 100644 --- a/metadata/InvoicesChina__8__metadata.json +++ b/metadata/InvoicesChina__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/InvoicesChina__9__metadata.json b/metadata/InvoicesChina__9__metadata.json index 32b523b5..18112fcd 100644 --- a/metadata/InvoicesChina__9__metadata.json +++ b/metadata/InvoicesChina__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__10__metadata.json b/metadata/JapaneseInvoices__10__metadata.json index 519bae39..3893c8e3 100644 --- a/metadata/JapaneseInvoices__10__metadata.json +++ b/metadata/JapaneseInvoices__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__11__metadata.json b/metadata/JapaneseInvoices__11__metadata.json index 77564e8d..d7e9207a 100644 --- a/metadata/JapaneseInvoices__11__metadata.json +++ b/metadata/JapaneseInvoices__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__12__metadata.json b/metadata/JapaneseInvoices__12__metadata.json index a1a78c92..ec5092bf 100644 --- a/metadata/JapaneseInvoices__12__metadata.json +++ b/metadata/JapaneseInvoices__12__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__13__metadata.json b/metadata/JapaneseInvoices__13__metadata.json index 2183f09c..4a4d7241 100644 --- a/metadata/JapaneseInvoices__13__metadata.json +++ b/metadata/JapaneseInvoices__13__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__14__metadata.json b/metadata/JapaneseInvoices__14__metadata.json index e1f10584..892d9760 100644 --- a/metadata/JapaneseInvoices__14__metadata.json +++ b/metadata/JapaneseInvoices__14__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__15__metadata.json b/metadata/JapaneseInvoices__15__metadata.json index e7000cdf..44e0fc82 100644 --- a/metadata/JapaneseInvoices__15__metadata.json +++ b/metadata/JapaneseInvoices__15__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json index a96ee7b7..374af4f3 100644 --- a/metadata/JapaneseInvoices__5__metadata.json +++ b/metadata/JapaneseInvoices__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.6", diff --git a/metadata/JapaneseInvoices__6__metadata.json b/metadata/JapaneseInvoices__6__metadata.json index 21dc3f01..f513237f 100644 --- a/metadata/JapaneseInvoices__6__metadata.json +++ b/metadata/JapaneseInvoices__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.11", diff --git a/metadata/JapaneseInvoices__7__metadata.json b/metadata/JapaneseInvoices__7__metadata.json index 287d33ff..45d4ecbb 100644 --- a/metadata/JapaneseInvoices__7__metadata.json +++ b/metadata/JapaneseInvoices__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__8__metadata.json b/metadata/JapaneseInvoices__8__metadata.json index a7d9eb68..ea3c8e81 100644 --- a/metadata/JapaneseInvoices__8__metadata.json +++ b/metadata/JapaneseInvoices__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/JapaneseInvoices__9__metadata.json b/metadata/JapaneseInvoices__9__metadata.json index 69168764..63fb101b 100644 --- a/metadata/JapaneseInvoices__9__metadata.json +++ b/metadata/JapaneseInvoices__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/PackingLists__1__metadata.json b/metadata/PackingLists__1__metadata.json index de8bfcd3..8964db1f 100644 --- a/metadata/PackingLists__1__metadata.json +++ b/metadata/PackingLists__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/PackingLists__2__metadata.json b/metadata/PackingLists__2__metadata.json index 198013f2..0ca05478 100644 --- a/metadata/PackingLists__2__metadata.json +++ b/metadata/PackingLists__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/PackingLists__3__metadata.json b/metadata/PackingLists__3__metadata.json index 4a0829a3..5e72ebb9 100644 --- a/metadata/PackingLists__3__metadata.json +++ b/metadata/PackingLists__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/PackingLists__4__metadata.json b/metadata/PackingLists__4__metadata.json index bcbe4399..c7e0f596 100644 --- a/metadata/PackingLists__4__metadata.json +++ b/metadata/PackingLists__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/PackingLists__5__metadata.json b/metadata/PackingLists__5__metadata.json index 112b631b..611dcbd4 100644 --- a/metadata/PackingLists__5__metadata.json +++ b/metadata/PackingLists__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/PackingLists__6__metadata.json b/metadata/PackingLists__6__metadata.json index 115f12f2..d403b3a8 100644 --- a/metadata/PackingLists__6__metadata.json +++ b/metadata/PackingLists__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/PackingLists__7__metadata.json b/metadata/PackingLists__7__metadata.json index 498765c4..2b5361e2 100644 --- a/metadata/PackingLists__7__metadata.json +++ b/metadata/PackingLists__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/Passports__1__metadata.json b/metadata/Passports__1__metadata.json index 145a4532..26f7cd57 100644 --- a/metadata/Passports__1__metadata.json +++ b/metadata/Passports__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Model: 21.5.6", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "Passports", "gpu": 1, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/Passports__2__metadata.json b/metadata/Passports__2__metadata.json index 43dedef7..43d90199 100644 --- a/metadata/Passports__2__metadata.json +++ b/metadata/Passports__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Model: 21.10.10", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "displayName": "Passports", "gpu": 1, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json index 41943a25..9aba8727 100644 --- a/metadata/PurchaseOrders__7__metadata.json +++ b/metadata/PurchaseOrders__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.6", diff --git a/metadata/PurchaseOrders__8__metadata.json b/metadata/PurchaseOrders__8__metadata.json index c1ca1ab9..b5697a39 100644 --- a/metadata/PurchaseOrders__8__metadata.json +++ b/metadata/PurchaseOrders__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/RemittanceAdvices__10__metadata.json b/metadata/RemittanceAdvices__10__metadata.json index a8307206..c2c672d9 100644 --- a/metadata/RemittanceAdvices__10__metadata.json +++ b/metadata/RemittanceAdvices__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__1__metadata.json b/metadata/RemittanceAdvices__1__metadata.json index adf3a2a6..0cd5960a 100644 --- a/metadata/RemittanceAdvices__1__metadata.json +++ b/metadata/RemittanceAdvices__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/RemittanceAdvices__2__metadata.json b/metadata/RemittanceAdvices__2__metadata.json index 5f8c3a69..5c92018b 100644 --- a/metadata/RemittanceAdvices__2__metadata.json +++ b/metadata/RemittanceAdvices__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__3__metadata.json b/metadata/RemittanceAdvices__3__metadata.json index 76946e36..a8b0fb0d 100644 --- a/metadata/RemittanceAdvices__3__metadata.json +++ b/metadata/RemittanceAdvices__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__4__metadata.json b/metadata/RemittanceAdvices__4__metadata.json index e6a555a4..dbe9ee21 100644 --- a/metadata/RemittanceAdvices__4__metadata.json +++ b/metadata/RemittanceAdvices__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__5__metadata.json b/metadata/RemittanceAdvices__5__metadata.json index 1f3acf89..7e9d9369 100644 --- a/metadata/RemittanceAdvices__5__metadata.json +++ b/metadata/RemittanceAdvices__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__6__metadata.json b/metadata/RemittanceAdvices__6__metadata.json index c14bfcef..1d411354 100644 --- a/metadata/RemittanceAdvices__6__metadata.json +++ b/metadata/RemittanceAdvices__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__7__metadata.json b/metadata/RemittanceAdvices__7__metadata.json index ea780d2c..c6d7e9ea 100644 --- a/metadata/RemittanceAdvices__7__metadata.json +++ b/metadata/RemittanceAdvices__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__8__metadata.json b/metadata/RemittanceAdvices__8__metadata.json index 96166a8f..f754fab3 100644 --- a/metadata/RemittanceAdvices__8__metadata.json +++ b/metadata/RemittanceAdvices__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/RemittanceAdvices__9__metadata.json b/metadata/RemittanceAdvices__9__metadata.json index 65e8861a..8d2183d3 100644 --- a/metadata/RemittanceAdvices__9__metadata.json +++ b/metadata/RemittanceAdvices__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UiPathDocumentOCR_CPU__10__metadata.json b/metadata/UiPathDocumentOCR_CPU__10__metadata.json index d5ea5793..ec1bc1e6 100644 --- a/metadata/UiPathDocumentOCR_CPU__10__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__10__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__11__metadata.json b/metadata/UiPathDocumentOCR_CPU__11__metadata.json index b9bef615..8fa7f741 100644 --- a/metadata/UiPathDocumentOCR_CPU__11__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__11__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__12__metadata.json b/metadata/UiPathDocumentOCR_CPU__12__metadata.json index ecbfb421..6b407f76 100644 --- a/metadata/UiPathDocumentOCR_CPU__12__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__12__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__13__metadata.json b/metadata/UiPathDocumentOCR_CPU__13__metadata.json index c5537a45..4ef231bc 100644 --- a/metadata/UiPathDocumentOCR_CPU__13__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__13__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__14__metadata.json b/metadata/UiPathDocumentOCR_CPU__14__metadata.json index a6c51d15..50f3ce87 100644 --- a/metadata/UiPathDocumentOCR_CPU__14__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__14__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__15__metadata.json b/metadata/UiPathDocumentOCR_CPU__15__metadata.json index c0131b16..0e450553 100644 --- a/metadata/UiPathDocumentOCR_CPU__15__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__15__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__16__metadata.json b/metadata/UiPathDocumentOCR_CPU__16__metadata.json index e6079347..9196b324 100644 --- a/metadata/UiPathDocumentOCR_CPU__16__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__16__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__17__metadata.json b/metadata/UiPathDocumentOCR_CPU__17__metadata.json index 2201f5f9..dce05063 100644 --- a/metadata/UiPathDocumentOCR_CPU__17__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__17__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__18__metadata.json b/metadata/UiPathDocumentOCR_CPU__18__metadata.json index 450f3a0c..83c4fea8 100644 --- a/metadata/UiPathDocumentOCR_CPU__18__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__18__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__19__metadata.json b/metadata/UiPathDocumentOCR_CPU__19__metadata.json index cdf37f4d..172091e8 100644 --- a/metadata/UiPathDocumentOCR_CPU__19__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__19__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__1__metadata.json b/metadata/UiPathDocumentOCR_CPU__1__metadata.json index 5049ffe8..0f4899dc 100644 --- a/metadata/UiPathDocumentOCR_CPU__1__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__1__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "Model: 22.2.4", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text, checkboxes/radio buttons and English handwriting from Documents. This model is optimized and will only run on CPU. Please see more details in the documentation page here: https://docs.uipath.com/document-understanding/docs/ml-packages.", + "description": "Machine Learning model for extracting text, checkboxes/radio buttons and English handwriting from Documents. This model is optimized and will only run on CPU. Please see more details in the documentation page here: https://docs.uipath.com/document-understanding/docs/ml-packages.", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__20__metadata.json b/metadata/UiPathDocumentOCR_CPU__20__metadata.json index c999cbae..f311aea4 100644 --- a/metadata/UiPathDocumentOCR_CPU__20__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__20__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__21__metadata.json b/metadata/UiPathDocumentOCR_CPU__21__metadata.json index b3fac76e..6faa43d4 100644 --- a/metadata/UiPathDocumentOCR_CPU__21__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__21__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__22__metadata.json b/metadata/UiPathDocumentOCR_CPU__22__metadata.json index 05833db8..c48e72a4 100644 --- a/metadata/UiPathDocumentOCR_CPU__22__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__22__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__2__metadata.json b/metadata/UiPathDocumentOCR_CPU__2__metadata.json index d69517e0..189c4404 100644 --- a/metadata/UiPathDocumentOCR_CPU__2__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__3__metadata.json b/metadata/UiPathDocumentOCR_CPU__3__metadata.json index 1bcb26bf..848d912c 100644 --- a/metadata/UiPathDocumentOCR_CPU__3__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__3__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__4__metadata.json b/metadata/UiPathDocumentOCR_CPU__4__metadata.json index ba2477b9..c0906162 100644 --- a/metadata/UiPathDocumentOCR_CPU__4__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__4__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__5__metadata.json b/metadata/UiPathDocumentOCR_CPU__5__metadata.json index c1115521..ac58ce4f 100644 --- a/metadata/UiPathDocumentOCR_CPU__5__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__5__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__6__metadata.json b/metadata/UiPathDocumentOCR_CPU__6__metadata.json index 2ce70314..f030aada 100644 --- a/metadata/UiPathDocumentOCR_CPU__6__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__6__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__7__metadata.json b/metadata/UiPathDocumentOCR_CPU__7__metadata.json index 765de41f..bd249ca0 100644 --- a/metadata/UiPathDocumentOCR_CPU__7__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__7__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__8__metadata.json b/metadata/UiPathDocumentOCR_CPU__8__metadata.json index f657ce67..4f6e52d4 100644 --- a/metadata/UiPathDocumentOCR_CPU__8__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__8__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UiPathDocumentOCR_CPU__9__metadata.json b/metadata/UiPathDocumentOCR_CPU__9__metadata.json index bc38d35f..568355dd 100644 --- a/metadata/UiPathDocumentOCR_CPU__9__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__9__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "Machine Learning model(available in Preview) for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", "displayName": "UiPathDocumentOCR_CPU", "gpu": 0, "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", diff --git a/metadata/UtilityBills__11__metadata.json b/metadata/UtilityBills__11__metadata.json index fc8be821..02a4d7a6 100644 --- a/metadata/UtilityBills__11__metadata.json +++ b/metadata/UtilityBills__11__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__12__metadata.json b/metadata/UtilityBills__12__metadata.json index eaa6d96d..b21e3be7 100644 --- a/metadata/UtilityBills__12__metadata.json +++ b/metadata/UtilityBills__12__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__13__metadata.json b/metadata/UtilityBills__13__metadata.json index 121c6632..6a8c6b5e 100644 --- a/metadata/UtilityBills__13__metadata.json +++ b/metadata/UtilityBills__13__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__14__metadata.json b/metadata/UtilityBills__14__metadata.json index 2546aac7..36f4963b 100644 --- a/metadata/UtilityBills__14__metadata.json +++ b/metadata/UtilityBills__14__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__15__metadata.json b/metadata/UtilityBills__15__metadata.json index bf4192be..bd3ac6d0 100644 --- a/metadata/UtilityBills__15__metadata.json +++ b/metadata/UtilityBills__15__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__16__metadata.json b/metadata/UtilityBills__16__metadata.json index 3b7cdc92..2ae8a6b6 100644 --- a/metadata/UtilityBills__16__metadata.json +++ b/metadata/UtilityBills__16__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__17__metadata.json b/metadata/UtilityBills__17__metadata.json index 25bb552d..974bea2d 100644 --- a/metadata/UtilityBills__17__metadata.json +++ b/metadata/UtilityBills__17__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json index 93f2e38d..2d83072b 100644 --- a/metadata/UtilityBills__7__metadata.json +++ b/metadata/UtilityBills__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.5.6", diff --git a/metadata/UtilityBills__8__metadata.json b/metadata/UtilityBills__8__metadata.json index cd3e1dd1..4dc48a6b 100644 --- a/metadata/UtilityBills__8__metadata.json +++ b/metadata/UtilityBills__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/VehicleTitles__1__metadata.json b/metadata/VehicleTitles__1__metadata.json index 81377d0e..72400d92 100644 --- a/metadata/VehicleTitles__1__metadata.json +++ b/metadata/VehicleTitles__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/VehicleTitles__2__metadata.json b/metadata/VehicleTitles__2__metadata.json index 67f1f1f5..798c1733 100644 --- a/metadata/VehicleTitles__2__metadata.json +++ b/metadata/VehicleTitles__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/VehicleTitles__3__metadata.json b/metadata/VehicleTitles__3__metadata.json index fa94abfa..88ea14c1 100644 --- a/metadata/VehicleTitles__3__metadata.json +++ b/metadata/VehicleTitles__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/VehicleTitles__4__metadata.json b/metadata/VehicleTitles__4__metadata.json index 1ff23395..7e5c98b7 100644 --- a/metadata/VehicleTitles__4__metadata.json +++ b/metadata/VehicleTitles__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/VehicleTitles__5__metadata.json b/metadata/VehicleTitles__5__metadata.json index 034afdb9..4b6c74f2 100644 --- a/metadata/VehicleTitles__5__metadata.json +++ b/metadata/VehicleTitles__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/VehicleTitles__6__metadata.json b/metadata/VehicleTitles__6__metadata.json index 09f601ab..8b3f7223 100644 --- a/metadata/VehicleTitles__6__metadata.json +++ b/metadata/VehicleTitles__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/VehicleTitles__7__metadata.json b/metadata/VehicleTitles__7__metadata.json index 9113efe9..e24b273e 100644 --- a/metadata/VehicleTitles__7__metadata.json +++ b/metadata/VehicleTitles__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "cpu": 1, diff --git a/metadata/W2__10__metadata.json b/metadata/W2__10__metadata.json index d9ec7d66..d16d49cb 100644 --- a/metadata/W2__10__metadata.json +++ b/metadata/W2__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__1__metadata.json b/metadata/W2__1__metadata.json index c05162ec..a619fa06 100644 --- a/metadata/W2__1__metadata.json +++ b/metadata/W2__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/W2__2__metadata.json b/metadata/W2__2__metadata.json index 6b0c5ba7..8a1ddce5 100644 --- a/metadata/W2__2__metadata.json +++ b/metadata/W2__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__3__metadata.json b/metadata/W2__3__metadata.json index 8d65df54..18e116cc 100644 --- a/metadata/W2__3__metadata.json +++ b/metadata/W2__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__4__metadata.json b/metadata/W2__4__metadata.json index 848efd01..8153bd17 100644 --- a/metadata/W2__4__metadata.json +++ b/metadata/W2__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__5__metadata.json b/metadata/W2__5__metadata.json index 2b2018cc..fe2186e3 100644 --- a/metadata/W2__5__metadata.json +++ b/metadata/W2__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__6__metadata.json b/metadata/W2__6__metadata.json index 18195958..5fc11ca8 100644 --- a/metadata/W2__6__metadata.json +++ b/metadata/W2__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__7__metadata.json b/metadata/W2__7__metadata.json index ae6aaf16..788d8065 100644 --- a/metadata/W2__7__metadata.json +++ b/metadata/W2__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__8__metadata.json b/metadata/W2__8__metadata.json index 379ef525..48c1edc1 100644 --- a/metadata/W2__8__metadata.json +++ b/metadata/W2__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W2__9__metadata.json b/metadata/W2__9__metadata.json index c9e4e6fa..f86848e0 100644 --- a/metadata/W2__9__metadata.json +++ b/metadata/W2__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__10__metadata.json b/metadata/W9__10__metadata.json index 7af831d4..3c8d62b0 100644 --- a/metadata/W9__10__metadata.json +++ b/metadata/W9__10__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__1__metadata.json b/metadata/W9__1__metadata.json index 18cf4ec2..0c3b1374 100644 --- a/metadata/W9__1__metadata.json +++ b/metadata/W9__1__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 1, "processorType": "GPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "Model: 21.10.10", diff --git a/metadata/W9__2__metadata.json b/metadata/W9__2__metadata.json index 163cd626..9c8dc1de 100644 --- a/metadata/W9__2__metadata.json +++ b/metadata/W9__2__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__3__metadata.json b/metadata/W9__3__metadata.json index 2398beba..f2f12f45 100644 --- a/metadata/W9__3__metadata.json +++ b/metadata/W9__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__4__metadata.json b/metadata/W9__4__metadata.json index 1aaf0c39..0e7870f9 100644 --- a/metadata/W9__4__metadata.json +++ b/metadata/W9__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__5__metadata.json b/metadata/W9__5__metadata.json index a04986ef..dcce65c5 100644 --- a/metadata/W9__5__metadata.json +++ b/metadata/W9__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__6__metadata.json b/metadata/W9__6__metadata.json index 16025610..ed37c9df 100644 --- a/metadata/W9__6__metadata.json +++ b/metadata/W9__6__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__7__metadata.json b/metadata/W9__7__metadata.json index 7cc0e12c..f4c9cd1d 100644 --- a/metadata/W9__7__metadata.json +++ b/metadata/W9__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__8__metadata.json b/metadata/W9__8__metadata.json index c3586899..3f4749a6 100644 --- a/metadata/W9__8__metadata.json +++ b/metadata/W9__8__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", diff --git a/metadata/W9__9__metadata.json b/metadata/W9__9__metadata.json index b936a7d0..2b7bbe58 100644 --- a/metadata/W9__9__metadata.json +++ b/metadata/W9__9__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", "changeLog": "", From 47bfd5dd5baa720b79875109191e521e5cf1c30b Mon Sep 17 00:00:00 2001 From: sorin-bolos Date: Wed, 25 Sep 2024 12:26:52 +0300 Subject: [PATCH 209/267] Do the same for classifiers --- metadata/EnglishTextClassification__2__metadata.json | 2 +- metadata/LightTextClassification__3__metadata.json | 2 +- metadata/LightTextClassification__4__metadata.json | 2 +- metadata/LightTextClassification__7__metadata.json | 2 +- metadata/MultiLingualTextClassification__3__metadata.json | 2 +- metadata/MultiLingualTextClassification__4__metadata.json | 2 +- metadata/MultiLingualTextClassification__5__metadata.json | 2 +- 7 files changed, 7 insertions(+), 7 deletions(-) diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json index c361dbfa..0d9f6704 100644 --- a/metadata/EnglishTextClassification__2__metadata.json +++ b/metadata/EnglishTextClassification__2__metadata.json @@ -1,7 +1,7 @@ { "changeLog": "", "cpu": 0, - "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", + "description": "This is a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", "displayName": "EnglishTextClassification", "gpu": 0, "inputDescription": "Text to be classified as String: 'I loved this movie.'", diff --git a/metadata/LightTextClassification__3__metadata.json b/metadata/LightTextClassification__3__metadata.json index ae9f5323..ca0644ff 100644 --- a/metadata/LightTextClassification__3__metadata.json +++ b/metadata/LightTextClassification__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", "changeLog": "model 22.4.0", diff --git a/metadata/LightTextClassification__4__metadata.json b/metadata/LightTextClassification__4__metadata.json index c8eb4c02..aec74827 100644 --- a/metadata/LightTextClassification__4__metadata.json +++ b/metadata/LightTextClassification__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", "changeLog": "model 22.6.0", diff --git a/metadata/LightTextClassification__7__metadata.json b/metadata/LightTextClassification__7__metadata.json index 13a9d754..135b9455 100644 --- a/metadata/LightTextClassification__7__metadata.json +++ b/metadata/LightTextClassification__7__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", "changeLog": "Fix dependency bug and move to Python39", diff --git a/metadata/MultiLingualTextClassification__3__metadata.json b/metadata/MultiLingualTextClassification__3__metadata.json index a9f70970..fc9d0574 100644 --- a/metadata/MultiLingualTextClassification__3__metadata.json +++ b/metadata/MultiLingualTextClassification__3__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "This is the preview version of a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", + "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", "changeLog": "model 22.4.0", diff --git a/metadata/MultiLingualTextClassification__4__metadata.json b/metadata/MultiLingualTextClassification__4__metadata.json index 6507e964..a477981c 100644 --- a/metadata/MultiLingualTextClassification__4__metadata.json +++ b/metadata/MultiLingualTextClassification__4__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "This is the preview version of a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", + "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", "changeLog": "model 22.6.0", diff --git a/metadata/MultiLingualTextClassification__5__metadata.json b/metadata/MultiLingualTextClassification__5__metadata.json index 27fae0ad..4056e485 100644 --- a/metadata/MultiLingualTextClassification__5__metadata.json +++ b/metadata/MultiLingualTextClassification__5__metadata.json @@ -3,7 +3,7 @@ "retrainable": true, "gpu": 0, "processorType": "CPU", - "description": "This is the preview version of a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", + "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", "changeLog": "model 22.6.0", From 2c6d34888e221e7b432992d123b7d08034a5fdfd Mon Sep 17 00:00:00 2001 From: Sergiu Stefanov <97527584+sstefanov78@users.noreply.github.com> Date: Thu, 3 Oct 2024 18:13:02 +0300 Subject: [PATCH 210/267] [AS] [24.10 CU] [22.10.14] Change metadata for 22.10.14 DU models (#324) --- metadata/1040__23__metadata.json | 2 +- metadata/4506T__25__metadata.json | 2 +- metadata/990__25__metadata.json | 2 +- metadata/Acord125__25__metadata.json | 2 +- metadata/Acord126__23__metadata.json | 2 +- metadata/Acord131__23__metadata.json | 2 +- metadata/Acord140__23__metadata.json | 2 +- metadata/Acord25__23__metadata.json | 2 +- metadata/AustralianInvoices__29__metadata.json | 2 +- metadata/BankStatements__23__metadata.json | 2 +- metadata/BillsOfLading__23__metadata.json | 2 +- metadata/Checks__23__metadata.json | 2 +- metadata/DocumentClassifier__25__metadata.json | 2 +- metadata/DocumentUnderstanding__34__metadata.json | 2 +- metadata/FM1003__25__metadata.json | 2 +- metadata/FinancialStatements__23__metadata.json | 2 +- metadata/I9__25__metadata.json | 2 +- metadata/IDCards__27__metadata.json | 2 +- metadata/IndianInvoices__33__metadata.json | 2 +- metadata/InvoicesChina__26__metadata.json | 2 +- metadata/Invoices__34__metadata.json | 2 +- metadata/JapaneseInvoices__31__metadata.json | 2 +- metadata/PackingLists__23__metadata.json | 2 +- metadata/Passports__27__metadata.json | 2 +- metadata/PurchaseOrders__33__metadata.json | 2 +- metadata/Receipts__34__metadata.json | 2 +- metadata/RemittanceAdvices__26__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__19__metadata.json | 2 +- metadata/UiPathDocumentOCR__25__metadata.json | 2 +- metadata/UtilityBills__33__metadata.json | 2 +- metadata/VehicleTitles__23__metadata.json | 2 +- metadata/W2__26__metadata.json | 2 +- metadata/W9__26__metadata.json | 2 +- metadata_generate_new_du_versions.ps1 | 2 +- 34 files changed, 34 insertions(+), 34 deletions(-) diff --git a/metadata/1040__23__metadata.json b/metadata/1040__23__metadata.json index 3390abd0..1d35a480 100644 --- a/metadata/1040__23__metadata.json +++ b/metadata/1040__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__25__metadata.json b/metadata/4506T__25__metadata.json index 5563f3fd..303556c1 100644 --- a/metadata/4506T__25__metadata.json +++ b/metadata/4506T__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__25__metadata.json b/metadata/990__25__metadata.json index c86ad15a..c344211e 100644 --- a/metadata/990__25__metadata.json +++ b/metadata/990__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__25__metadata.json b/metadata/Acord125__25__metadata.json index 62df8bc9..3b080233 100644 --- a/metadata/Acord125__25__metadata.json +++ b/metadata/Acord125__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__23__metadata.json b/metadata/Acord126__23__metadata.json index a3d8c553..925fdc05 100644 --- a/metadata/Acord126__23__metadata.json +++ b/metadata/Acord126__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__23__metadata.json b/metadata/Acord131__23__metadata.json index b1b73fcd..42411c29 100644 --- a/metadata/Acord131__23__metadata.json +++ b/metadata/Acord131__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__23__metadata.json b/metadata/Acord140__23__metadata.json index cfdbf7d3..1fe746dc 100644 --- a/metadata/Acord140__23__metadata.json +++ b/metadata/Acord140__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__23__metadata.json b/metadata/Acord25__23__metadata.json index 40879b7e..e6c1b702 100644 --- a/metadata/Acord25__23__metadata.json +++ b/metadata/Acord25__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__29__metadata.json b/metadata/AustralianInvoices__29__metadata.json index 47ee529b..17e03e35 100644 --- a/metadata/AustralianInvoices__29__metadata.json +++ b/metadata/AustralianInvoices__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__23__metadata.json b/metadata/BankStatements__23__metadata.json index 2286061d..da0c01b2 100644 --- a/metadata/BankStatements__23__metadata.json +++ b/metadata/BankStatements__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__23__metadata.json b/metadata/BillsOfLading__23__metadata.json index 4427f3bc..b070871d 100644 --- a/metadata/BillsOfLading__23__metadata.json +++ b/metadata/BillsOfLading__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__23__metadata.json b/metadata/Checks__23__metadata.json index c91cfc43..a3ee32ff 100644 --- a/metadata/Checks__23__metadata.json +++ b/metadata/Checks__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__25__metadata.json b/metadata/DocumentClassifier__25__metadata.json index 0d785ca6..fda967b5 100644 --- a/metadata/DocumentClassifier__25__metadata.json +++ b/metadata/DocumentClassifier__25__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-ml-document-type-text-classifier:v22.10-09.23-rc02", + "imagePath": "du-ml-document-type-text-classifier:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__34__metadata.json b/metadata/DocumentUnderstanding__34__metadata.json index e578584a..f8eaf621 100644 --- a/metadata/DocumentUnderstanding__34__metadata.json +++ b/metadata/DocumentUnderstanding__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__25__metadata.json b/metadata/FM1003__25__metadata.json index 477cbd9e..17e05d73 100644 --- a/metadata/FM1003__25__metadata.json +++ b/metadata/FM1003__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__23__metadata.json b/metadata/FinancialStatements__23__metadata.json index 5755373e..9b779d43 100644 --- a/metadata/FinancialStatements__23__metadata.json +++ b/metadata/FinancialStatements__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__25__metadata.json b/metadata/I9__25__metadata.json index 2a1eaa33..e5a84312 100644 --- a/metadata/I9__25__metadata.json +++ b/metadata/I9__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__27__metadata.json b/metadata/IDCards__27__metadata.json index 31393dc9..26e3e206 100644 --- a/metadata/IDCards__27__metadata.json +++ b/metadata/IDCards__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__33__metadata.json b/metadata/IndianInvoices__33__metadata.json index 734107f6..1225be9f 100644 --- a/metadata/IndianInvoices__33__metadata.json +++ b/metadata/IndianInvoices__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__26__metadata.json b/metadata/InvoicesChina__26__metadata.json index edd9b734..186af12d 100644 --- a/metadata/InvoicesChina__26__metadata.json +++ b/metadata/InvoicesChina__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__34__metadata.json b/metadata/Invoices__34__metadata.json index c0104092..9f3fc483 100644 --- a/metadata/Invoices__34__metadata.json +++ b/metadata/Invoices__34__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__31__metadata.json b/metadata/JapaneseInvoices__31__metadata.json index 55ce5715..c4e7cf41 100644 --- a/metadata/JapaneseInvoices__31__metadata.json +++ b/metadata/JapaneseInvoices__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__23__metadata.json b/metadata/PackingLists__23__metadata.json index c5c92404..571f46d8 100644 --- a/metadata/PackingLists__23__metadata.json +++ b/metadata/PackingLists__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__27__metadata.json b/metadata/Passports__27__metadata.json index 157bbbae..28aa0121 100644 --- a/metadata/Passports__27__metadata.json +++ b/metadata/Passports__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__33__metadata.json b/metadata/PurchaseOrders__33__metadata.json index 417433eb..a7526402 100644 --- a/metadata/PurchaseOrders__33__metadata.json +++ b/metadata/PurchaseOrders__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__34__metadata.json b/metadata/Receipts__34__metadata.json index 2491d638..178e6a9a 100644 --- a/metadata/Receipts__34__metadata.json +++ b/metadata/Receipts__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__26__metadata.json b/metadata/RemittanceAdvices__26__metadata.json index c7c08e2d..1ec1343c 100644 --- a/metadata/RemittanceAdvices__26__metadata.json +++ b/metadata/RemittanceAdvices__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__19__metadata.json b/metadata/UiPathDocumentOCR_CPU__19__metadata.json index 172091e8..864e911e 100644 --- a/metadata/UiPathDocumentOCR_CPU__19__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__19__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 19, "customVersion": "22.10.14", - "imagePath": "du-doc-ocr-cpu:v22.10-09.23-rc02", + "imagePath": "du-doc-ocr-cpu:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__25__metadata.json b/metadata/UiPathDocumentOCR__25__metadata.json index da5e32e9..d53548bc 100644 --- a/metadata/UiPathDocumentOCR__25__metadata.json +++ b/metadata/UiPathDocumentOCR__25__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-doc-ocr:v22.10-09.23-rc02", + "imagePath": "du-doc-ocr:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__33__metadata.json b/metadata/UtilityBills__33__metadata.json index bdf2e6fe..96cdf544 100644 --- a/metadata/UtilityBills__33__metadata.json +++ b/metadata/UtilityBills__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__23__metadata.json b/metadata/VehicleTitles__23__metadata.json index 72055ac9..c6aa769a 100644 --- a/metadata/VehicleTitles__23__metadata.json +++ b/metadata/VehicleTitles__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__26__metadata.json b/metadata/W2__26__metadata.json index b7eec38b..f27bee8d 100644 --- a/metadata/W2__26__metadata.json +++ b/metadata/W2__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__26__metadata.json b/metadata/W9__26__metadata.json index e3eb0872..818ea4ef 100644 --- a/metadata/W9__26__metadata.json +++ b/metadata/W9__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.23-rc02", + "imagePath": "du-semistructured:v22.10-09.27-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index d19b0ae7..ef147279 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -15,7 +15,7 @@ $newCustomVersion = '22.10.14' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v22.10-09.23-rc02' +$newTag = 'v22.10-09.27-rc04' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From ad831d020e6780bba3d702390465c78386902d8c Mon Sep 17 00:00:00 2001 From: Sergiu Stefanov <97527584+sstefanov78@users.noreply.github.com> Date: Thu, 3 Oct 2024 18:18:05 +0300 Subject: [PATCH 211/267] [AS] [24 OCT CU] [23.10.6] Change metadata for 23.10.6 DU models (#325) --- metadata/1040ScheduleC__5__metadata.json | 2 +- metadata/1040ScheduleD__5__metadata.json | 2 +- metadata/1040ScheduleE__5__metadata.json | 2 +- metadata/1040__25__metadata.json | 2 +- metadata/4506T__27__metadata.json | 2 +- metadata/990__27__metadata.json | 2 +- metadata/Acord125__27__metadata.json | 2 +- metadata/Acord126__25__metadata.json | 2 +- metadata/Acord131__25__metadata.json | 2 +- metadata/Acord140__25__metadata.json | 2 +- metadata/Acord25__25__metadata.json | 2 +- metadata/BankStatements__25__metadata.json | 2 +- metadata/BillsOfLading__25__metadata.json | 2 +- metadata/CMS1500__14__metadata.json | 2 +- metadata/CertificatesOfIncorporation__14__metadata.json | 2 +- metadata/CertificatesOfOrigin__14__metadata.json | 2 +- metadata/Checks__25__metadata.json | 2 +- metadata/ChildrenProductCertificates__14__metadata.json | 2 +- metadata/DocumentClassifier__27__metadata.json | 2 +- metadata/DocumentUnderstanding__36__metadata.json | 2 +- metadata/EUDeclarationOfConformity__14__metadata.json | 2 +- metadata/FM1003__27__metadata.json | 2 +- metadata/FinancialStatements__25__metadata.json | 2 +- metadata/I9__27__metadata.json | 2 +- metadata/IDCards__29__metadata.json | 2 +- metadata/IndianInvoices__35__metadata.json | 2 +- metadata/InvoicesChina__28__metadata.json | 2 +- metadata/InvoicesShipping__14__metadata.json | 2 +- metadata/Invoices__36__metadata.json | 2 +- metadata/JapaneseInvoices__33__metadata.json | 2 +- metadata/PackingLists__25__metadata.json | 2 +- metadata/Passports__29__metadata.json | 2 +- metadata/Payslips__14__metadata.json | 2 +- metadata/PurchaseOrders__35__metadata.json | 2 +- metadata/Receipts__36__metadata.json | 2 +- metadata/RemittanceAdvices__28__metadata.json | 2 +- metadata/UB04__5__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__21__metadata.json | 2 +- metadata/UiPathDocumentOCR__27__metadata.json | 2 +- metadata/UtilityBills__35__metadata.json | 2 +- metadata/VehicleTitles__25__metadata.json | 2 +- metadata/W2__28__metadata.json | 2 +- metadata/W9__28__metadata.json | 2 +- 43 files changed, 43 insertions(+), 43 deletions(-) diff --git a/metadata/1040ScheduleC__5__metadata.json b/metadata/1040ScheduleC__5__metadata.json index 181352b2..e9ca18e6 100644 --- a/metadata/1040ScheduleC__5__metadata.json +++ b/metadata/1040ScheduleC__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__5__metadata.json b/metadata/1040ScheduleD__5__metadata.json index c48fa778..ae47d45f 100644 --- a/metadata/1040ScheduleD__5__metadata.json +++ b/metadata/1040ScheduleD__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__5__metadata.json b/metadata/1040ScheduleE__5__metadata.json index 457b668f..0f9abcef 100644 --- a/metadata/1040ScheduleE__5__metadata.json +++ b/metadata/1040ScheduleE__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__25__metadata.json b/metadata/1040__25__metadata.json index b9628be8..c1978993 100644 --- a/metadata/1040__25__metadata.json +++ b/metadata/1040__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__27__metadata.json b/metadata/4506T__27__metadata.json index bfb04dda..66fad7e9 100644 --- a/metadata/4506T__27__metadata.json +++ b/metadata/4506T__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__27__metadata.json b/metadata/990__27__metadata.json index 08f26500..04c2dfea 100644 --- a/metadata/990__27__metadata.json +++ b/metadata/990__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__27__metadata.json b/metadata/Acord125__27__metadata.json index 446937ae..5a29bb0c 100644 --- a/metadata/Acord125__27__metadata.json +++ b/metadata/Acord125__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__25__metadata.json b/metadata/Acord126__25__metadata.json index 80275b64..0c4aff14 100644 --- a/metadata/Acord126__25__metadata.json +++ b/metadata/Acord126__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__25__metadata.json b/metadata/Acord131__25__metadata.json index 51c942f6..3fb3b04f 100644 --- a/metadata/Acord131__25__metadata.json +++ b/metadata/Acord131__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__25__metadata.json b/metadata/Acord140__25__metadata.json index 7406b288..edb84640 100644 --- a/metadata/Acord140__25__metadata.json +++ b/metadata/Acord140__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__25__metadata.json b/metadata/Acord25__25__metadata.json index 8c050124..f9ba0d63 100644 --- a/metadata/Acord25__25__metadata.json +++ b/metadata/Acord25__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__25__metadata.json b/metadata/BankStatements__25__metadata.json index a4a6dc38..35f14635 100644 --- a/metadata/BankStatements__25__metadata.json +++ b/metadata/BankStatements__25__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__25__metadata.json b/metadata/BillsOfLading__25__metadata.json index e6abd9ac..c44b37d5 100644 --- a/metadata/BillsOfLading__25__metadata.json +++ b/metadata/BillsOfLading__25__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__14__metadata.json b/metadata/CMS1500__14__metadata.json index ed3331cf..b85616cf 100644 --- a/metadata/CMS1500__14__metadata.json +++ b/metadata/CMS1500__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__14__metadata.json b/metadata/CertificatesOfIncorporation__14__metadata.json index 5808ae79..8b5a7d9f 100644 --- a/metadata/CertificatesOfIncorporation__14__metadata.json +++ b/metadata/CertificatesOfIncorporation__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__14__metadata.json b/metadata/CertificatesOfOrigin__14__metadata.json index 47156822..00cd47e9 100644 --- a/metadata/CertificatesOfOrigin__14__metadata.json +++ b/metadata/CertificatesOfOrigin__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__25__metadata.json b/metadata/Checks__25__metadata.json index e3e3438a..9838240c 100644 --- a/metadata/Checks__25__metadata.json +++ b/metadata/Checks__25__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__14__metadata.json b/metadata/ChildrenProductCertificates__14__metadata.json index 5480e27c..2544501f 100644 --- a/metadata/ChildrenProductCertificates__14__metadata.json +++ b/metadata/ChildrenProductCertificates__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__27__metadata.json b/metadata/DocumentClassifier__27__metadata.json index 6c90f48f..685e7d14 100644 --- a/metadata/DocumentClassifier__27__metadata.json +++ b/metadata/DocumentClassifier__27__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.6", - "imagePath": "du-ml-document-type-text-classifier:v23.10-09.21-rc02", + "imagePath": "du-ml-document-type-text-classifier:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__36__metadata.json b/metadata/DocumentUnderstanding__36__metadata.json index 5ea2b5ac..01b76552 100644 --- a/metadata/DocumentUnderstanding__36__metadata.json +++ b/metadata/DocumentUnderstanding__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__14__metadata.json b/metadata/EUDeclarationOfConformity__14__metadata.json index cbbf78ec..eb03bf51 100644 --- a/metadata/EUDeclarationOfConformity__14__metadata.json +++ b/metadata/EUDeclarationOfConformity__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__27__metadata.json b/metadata/FM1003__27__metadata.json index 1c96dcf1..58366b91 100644 --- a/metadata/FM1003__27__metadata.json +++ b/metadata/FM1003__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__25__metadata.json b/metadata/FinancialStatements__25__metadata.json index 8070d63b..d44586fc 100644 --- a/metadata/FinancialStatements__25__metadata.json +++ b/metadata/FinancialStatements__25__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__27__metadata.json b/metadata/I9__27__metadata.json index 91bb2629..a31c52c7 100644 --- a/metadata/I9__27__metadata.json +++ b/metadata/I9__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__29__metadata.json b/metadata/IDCards__29__metadata.json index cd65ace4..02e67480 100644 --- a/metadata/IDCards__29__metadata.json +++ b/metadata/IDCards__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__35__metadata.json b/metadata/IndianInvoices__35__metadata.json index 108e2779..bffa6dfd 100644 --- a/metadata/IndianInvoices__35__metadata.json +++ b/metadata/IndianInvoices__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__28__metadata.json b/metadata/InvoicesChina__28__metadata.json index ed06e576..0f08cf34 100644 --- a/metadata/InvoicesChina__28__metadata.json +++ b/metadata/InvoicesChina__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__14__metadata.json b/metadata/InvoicesShipping__14__metadata.json index ac880980..eec505f1 100644 --- a/metadata/InvoicesShipping__14__metadata.json +++ b/metadata/InvoicesShipping__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__36__metadata.json b/metadata/Invoices__36__metadata.json index 3eaf2459..6f525e82 100644 --- a/metadata/Invoices__36__metadata.json +++ b/metadata/Invoices__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__33__metadata.json b/metadata/JapaneseInvoices__33__metadata.json index 084ebda8..e12601a0 100644 --- a/metadata/JapaneseInvoices__33__metadata.json +++ b/metadata/JapaneseInvoices__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__25__metadata.json b/metadata/PackingLists__25__metadata.json index 9993afbb..f1d8d217 100644 --- a/metadata/PackingLists__25__metadata.json +++ b/metadata/PackingLists__25__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__29__metadata.json b/metadata/Passports__29__metadata.json index d397661d..254adbaf 100644 --- a/metadata/Passports__29__metadata.json +++ b/metadata/Passports__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__14__metadata.json b/metadata/Payslips__14__metadata.json index 30e6c1a0..f9a513c3 100644 --- a/metadata/Payslips__14__metadata.json +++ b/metadata/Payslips__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__35__metadata.json b/metadata/PurchaseOrders__35__metadata.json index c2e379ec..e46a6184 100644 --- a/metadata/PurchaseOrders__35__metadata.json +++ b/metadata/PurchaseOrders__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__36__metadata.json b/metadata/Receipts__36__metadata.json index e38bf929..6186471f 100644 --- a/metadata/Receipts__36__metadata.json +++ b/metadata/Receipts__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__28__metadata.json b/metadata/RemittanceAdvices__28__metadata.json index ddc6f796..86e912fd 100644 --- a/metadata/RemittanceAdvices__28__metadata.json +++ b/metadata/RemittanceAdvices__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__5__metadata.json b/metadata/UB04__5__metadata.json index 6e6d253f..d7ecfb67 100644 --- a/metadata/UB04__5__metadata.json +++ b/metadata/UB04__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__21__metadata.json b/metadata/UiPathDocumentOCR_CPU__21__metadata.json index 6faa43d4..e61d709d 100644 --- a/metadata/UiPathDocumentOCR_CPU__21__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__21__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 21, "customVersion": "23.10.6", - "imagePath": "du-doc-ocr-cpu:v23.10-09.21-rc02", + "imagePath": "du-doc-ocr-cpu:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__27__metadata.json b/metadata/UiPathDocumentOCR__27__metadata.json index 731e7b08..3213ebe3 100644 --- a/metadata/UiPathDocumentOCR__27__metadata.json +++ b/metadata/UiPathDocumentOCR__27__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.6", - "imagePath": "du-doc-ocr:v23.10-09.21-rc02", + "imagePath": "du-doc-ocr:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__35__metadata.json b/metadata/UtilityBills__35__metadata.json index 29a879e7..7009b6bd 100644 --- a/metadata/UtilityBills__35__metadata.json +++ b/metadata/UtilityBills__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__25__metadata.json b/metadata/VehicleTitles__25__metadata.json index e21b19b4..04c5dfb1 100644 --- a/metadata/VehicleTitles__25__metadata.json +++ b/metadata/VehicleTitles__25__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__28__metadata.json b/metadata/W2__28__metadata.json index 06b79bf0..1972b4f1 100644 --- a/metadata/W2__28__metadata.json +++ b/metadata/W2__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__28__metadata.json b/metadata/W9__28__metadata.json index 68571d85..d5d4a545 100644 --- a/metadata/W9__28__metadata.json +++ b/metadata/W9__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.21-rc02", + "imagePath": "du-semistructured:v23.10-09.25-rc08", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 0b027a9b4ad781982569ad2600bef45f6bf03664 Mon Sep 17 00:00:00 2001 From: sstefanov78 Date: Tue, 1 Oct 2024 10:06:02 +0300 Subject: [PATCH 212/267] [AS] [24 OCT CU] [23.4.9] Change metadata for 23.4.9 DU models --- metadata/1040__24__metadata.json | 2 +- metadata/4506T__26__metadata.json | 2 +- metadata/990__26__metadata.json | 2 +- metadata/Acord125__26__metadata.json | 2 +- metadata/Acord126__24__metadata.json | 2 +- metadata/Acord131__24__metadata.json | 2 +- metadata/Acord140__24__metadata.json | 2 +- metadata/Acord25__24__metadata.json | 2 +- metadata/AustralianInvoices__30__metadata.json | 2 +- metadata/BankStatements__24__metadata.json | 2 +- metadata/BillsOfLading__24__metadata.json | 2 +- metadata/CMS1500__13__metadata.json | 2 +- metadata/CertificatesOfIncorporation__13__metadata.json | 2 +- metadata/CertificatesOfOrigin__13__metadata.json | 2 +- metadata/Checks__24__metadata.json | 2 +- metadata/ChildrenProductCertificates__13__metadata.json | 2 +- metadata/DocumentClassifier__26__metadata.json | 2 +- metadata/DocumentUnderstanding__35__metadata.json | 2 +- metadata/EUDeclarationOfConformity__13__metadata.json | 2 +- metadata/FM1003__26__metadata.json | 2 +- metadata/FinancialStatements__24__metadata.json | 2 +- metadata/I9__26__metadata.json | 2 +- metadata/IDCards__28__metadata.json | 2 +- metadata/IndianInvoices__34__metadata.json | 2 +- metadata/InvoicesChina__27__metadata.json | 2 +- metadata/InvoicesShipping__13__metadata.json | 2 +- metadata/Invoices__35__metadata.json | 2 +- metadata/JapaneseInvoices__32__metadata.json | 2 +- metadata/PackingLists__24__metadata.json | 2 +- metadata/Passports__28__metadata.json | 2 +- metadata/Payslips__13__metadata.json | 2 +- metadata/PurchaseOrders__34__metadata.json | 2 +- metadata/Receipts__35__metadata.json | 2 +- metadata/RemittanceAdvices__27__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__20__metadata.json | 2 +- metadata/UiPathDocumentOCR__26__metadata.json | 2 +- metadata/UtilityBills__34__metadata.json | 2 +- metadata/VehicleTitles__24__metadata.json | 2 +- metadata/W2__27__metadata.json | 2 +- metadata/W9__27__metadata.json | 2 +- 40 files changed, 40 insertions(+), 40 deletions(-) diff --git a/metadata/1040__24__metadata.json b/metadata/1040__24__metadata.json index eab4e2c6..e7a4903c 100644 --- a/metadata/1040__24__metadata.json +++ b/metadata/1040__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__26__metadata.json b/metadata/4506T__26__metadata.json index a6ca7440..10495656 100644 --- a/metadata/4506T__26__metadata.json +++ b/metadata/4506T__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__26__metadata.json b/metadata/990__26__metadata.json index 36760200..7648d1a8 100644 --- a/metadata/990__26__metadata.json +++ b/metadata/990__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__26__metadata.json b/metadata/Acord125__26__metadata.json index b0356ad3..5bdced22 100644 --- a/metadata/Acord125__26__metadata.json +++ b/metadata/Acord125__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__24__metadata.json b/metadata/Acord126__24__metadata.json index 659c3085..62675a98 100644 --- a/metadata/Acord126__24__metadata.json +++ b/metadata/Acord126__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__24__metadata.json b/metadata/Acord131__24__metadata.json index 0ffaa632..0dbabcc8 100644 --- a/metadata/Acord131__24__metadata.json +++ b/metadata/Acord131__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__24__metadata.json b/metadata/Acord140__24__metadata.json index 169bb953..b9290823 100644 --- a/metadata/Acord140__24__metadata.json +++ b/metadata/Acord140__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__24__metadata.json b/metadata/Acord25__24__metadata.json index f79e30db..f86bb4ac 100644 --- a/metadata/Acord25__24__metadata.json +++ b/metadata/Acord25__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__30__metadata.json b/metadata/AustralianInvoices__30__metadata.json index e5c48db3..6f387ef2 100644 --- a/metadata/AustralianInvoices__30__metadata.json +++ b/metadata/AustralianInvoices__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__24__metadata.json b/metadata/BankStatements__24__metadata.json index 9ab02613..07fe4305 100644 --- a/metadata/BankStatements__24__metadata.json +++ b/metadata/BankStatements__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__24__metadata.json b/metadata/BillsOfLading__24__metadata.json index ed576777..930cf230 100644 --- a/metadata/BillsOfLading__24__metadata.json +++ b/metadata/BillsOfLading__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__13__metadata.json b/metadata/CMS1500__13__metadata.json index 633ae2bb..85268670 100644 --- a/metadata/CMS1500__13__metadata.json +++ b/metadata/CMS1500__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__13__metadata.json b/metadata/CertificatesOfIncorporation__13__metadata.json index 08e3a3af..22e3653d 100644 --- a/metadata/CertificatesOfIncorporation__13__metadata.json +++ b/metadata/CertificatesOfIncorporation__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__13__metadata.json b/metadata/CertificatesOfOrigin__13__metadata.json index c46c9d65..b4160bdf 100644 --- a/metadata/CertificatesOfOrigin__13__metadata.json +++ b/metadata/CertificatesOfOrigin__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__24__metadata.json b/metadata/Checks__24__metadata.json index af988d0f..e641ebc7 100644 --- a/metadata/Checks__24__metadata.json +++ b/metadata/Checks__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__13__metadata.json b/metadata/ChildrenProductCertificates__13__metadata.json index d21ea37d..3533c3ee 100644 --- a/metadata/ChildrenProductCertificates__13__metadata.json +++ b/metadata/ChildrenProductCertificates__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__26__metadata.json b/metadata/DocumentClassifier__26__metadata.json index 1c84d423..a3f1e2d6 100644 --- a/metadata/DocumentClassifier__26__metadata.json +++ b/metadata/DocumentClassifier__26__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-ml-document-type-text-classifier:v23.4-09.21-rc02", + "imagePath": "du-ml-document-type-text-classifier:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__35__metadata.json b/metadata/DocumentUnderstanding__35__metadata.json index d4ff5c59..de8b5039 100644 --- a/metadata/DocumentUnderstanding__35__metadata.json +++ b/metadata/DocumentUnderstanding__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__13__metadata.json b/metadata/EUDeclarationOfConformity__13__metadata.json index 76ad39eb..fc7e73e0 100644 --- a/metadata/EUDeclarationOfConformity__13__metadata.json +++ b/metadata/EUDeclarationOfConformity__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__26__metadata.json b/metadata/FM1003__26__metadata.json index d52fbd72..b4403403 100644 --- a/metadata/FM1003__26__metadata.json +++ b/metadata/FM1003__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__24__metadata.json b/metadata/FinancialStatements__24__metadata.json index 7622ef00..b8ee4ba6 100644 --- a/metadata/FinancialStatements__24__metadata.json +++ b/metadata/FinancialStatements__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__26__metadata.json b/metadata/I9__26__metadata.json index e166887b..b922c9aa 100644 --- a/metadata/I9__26__metadata.json +++ b/metadata/I9__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__28__metadata.json b/metadata/IDCards__28__metadata.json index b99c3237..744b89e8 100644 --- a/metadata/IDCards__28__metadata.json +++ b/metadata/IDCards__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__34__metadata.json b/metadata/IndianInvoices__34__metadata.json index 0b1c7ba4..7ccc74e8 100644 --- a/metadata/IndianInvoices__34__metadata.json +++ b/metadata/IndianInvoices__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__27__metadata.json b/metadata/InvoicesChina__27__metadata.json index ca23bbb5..0adf3d6f 100644 --- a/metadata/InvoicesChina__27__metadata.json +++ b/metadata/InvoicesChina__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__13__metadata.json b/metadata/InvoicesShipping__13__metadata.json index e49495ba..d9a2c54c 100644 --- a/metadata/InvoicesShipping__13__metadata.json +++ b/metadata/InvoicesShipping__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__35__metadata.json b/metadata/Invoices__35__metadata.json index 5441cdb7..197598ca 100644 --- a/metadata/Invoices__35__metadata.json +++ b/metadata/Invoices__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__32__metadata.json b/metadata/JapaneseInvoices__32__metadata.json index 4713d129..42350d79 100644 --- a/metadata/JapaneseInvoices__32__metadata.json +++ b/metadata/JapaneseInvoices__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__24__metadata.json b/metadata/PackingLists__24__metadata.json index 23dd4767..d8f3b347 100644 --- a/metadata/PackingLists__24__metadata.json +++ b/metadata/PackingLists__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__28__metadata.json b/metadata/Passports__28__metadata.json index 6a2becd4..e68fa183 100644 --- a/metadata/Passports__28__metadata.json +++ b/metadata/Passports__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__13__metadata.json b/metadata/Payslips__13__metadata.json index 464339be..18a22308 100644 --- a/metadata/Payslips__13__metadata.json +++ b/metadata/Payslips__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__34__metadata.json b/metadata/PurchaseOrders__34__metadata.json index e65e593a..423e922a 100644 --- a/metadata/PurchaseOrders__34__metadata.json +++ b/metadata/PurchaseOrders__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__35__metadata.json b/metadata/Receipts__35__metadata.json index f9aba515..7ad6b12d 100644 --- a/metadata/Receipts__35__metadata.json +++ b/metadata/Receipts__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__27__metadata.json b/metadata/RemittanceAdvices__27__metadata.json index 31c7f6cb..540a1041 100644 --- a/metadata/RemittanceAdvices__27__metadata.json +++ b/metadata/RemittanceAdvices__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__20__metadata.json b/metadata/UiPathDocumentOCR_CPU__20__metadata.json index f311aea4..5c57037b 100644 --- a/metadata/UiPathDocumentOCR_CPU__20__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__20__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.9", - "imagePath": "du-doc-ocr-cpu:v23.4-09.21-rc02", + "imagePath": "du-doc-ocr-cpu:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__26__metadata.json b/metadata/UiPathDocumentOCR__26__metadata.json index b2833ce7..ac8da41d 100644 --- a/metadata/UiPathDocumentOCR__26__metadata.json +++ b/metadata/UiPathDocumentOCR__26__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-doc-ocr:v23.4-09.21-rc02", + "imagePath": "du-doc-ocr:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__34__metadata.json b/metadata/UtilityBills__34__metadata.json index 5f719a62..685083b8 100644 --- a/metadata/UtilityBills__34__metadata.json +++ b/metadata/UtilityBills__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__24__metadata.json b/metadata/VehicleTitles__24__metadata.json index 5f148f61..f4b38f6b 100644 --- a/metadata/VehicleTitles__24__metadata.json +++ b/metadata/VehicleTitles__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__27__metadata.json b/metadata/W2__27__metadata.json index d82da0b2..e72ee8d5 100644 --- a/metadata/W2__27__metadata.json +++ b/metadata/W2__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__27__metadata.json b/metadata/W9__27__metadata.json index 53a0b835..0416bea2 100644 --- a/metadata/W9__27__metadata.json +++ b/metadata/W9__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.21-rc02", + "imagePath": "du-semistructured:v23.4-09.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From b8ca75a28bb3717cbb711bf1f5f126c5c799ce68 Mon Sep 17 00:00:00 2001 From: Sergiu Stefanov <97527584+sstefanov78@users.noreply.github.com> Date: Mon, 7 Oct 2024 17:33:18 +0300 Subject: [PATCH 213/267] [AS] [24 OCT CU] [24.10.0] Change metadata for 24.10.0 DU models (#326) * [AS] [24 OCT CU] [24.10.0] Change metadata for 24.10.0 DU models * Updated to latest image * update to latest versions --------- Co-authored-by: Adrian Nicolae Popa --- metadata/1040ScheduleC__6__metadata.json | 2 +- metadata/1040ScheduleD__6__metadata.json | 2 +- metadata/1040ScheduleE__6__metadata.json | 2 +- metadata/1040__26__metadata.json | 2 +- metadata/1040x__1__metadata.json | 2 +- metadata/3949a__1__metadata.json | 2 +- metadata/4506T__28__metadata.json | 2 +- metadata/709__1__metadata.json | 2 +- metadata/941x__1__metadata.json | 2 +- metadata/9465__1__metadata.json | 2 +- metadata/990__28__metadata.json | 2 +- metadata/Acord125__28__metadata.json | 2 +- metadata/Acord126__26__metadata.json | 2 +- metadata/Acord131__26__metadata.json | 2 +- metadata/Acord140__26__metadata.json | 2 +- metadata/Acord25__26__metadata.json | 2 +- metadata/BankStatements__26__metadata.json | 2 +- metadata/BillsOfLading__26__metadata.json | 2 +- metadata/CMS1500__15__metadata.json | 2 +- metadata/CertificatesOfIncorporation__15__metadata.json | 2 +- metadata/CertificatesOfOrigin__15__metadata.json | 2 +- metadata/Checks__26__metadata.json | 2 +- metadata/ChildrenProductCertificates__15__metadata.json | 2 +- metadata/DocumentClassifier__28__metadata.json | 2 +- metadata/DocumentUnderstanding__37__metadata.json | 2 +- metadata/EUDeclarationOfConformity__15__metadata.json | 2 +- metadata/FM1003__28__metadata.json | 2 +- metadata/FinancialStatements__26__metadata.json | 2 +- metadata/I9__28__metadata.json | 2 +- metadata/IDCards__30__metadata.json | 2 +- metadata/IndianInvoices__36__metadata.json | 2 +- metadata/InvoicesChina__29__metadata.json | 2 +- metadata/InvoicesHebrew__1__metadata.json | 2 +- metadata/InvoicesShipping__15__metadata.json | 2 +- metadata/Invoices__37__metadata.json | 2 +- metadata/JapaneseInvoices__34__metadata.json | 2 +- metadata/PackingLists__26__metadata.json | 2 +- metadata/Passports__30__metadata.json | 2 +- metadata/Payslips__15__metadata.json | 2 +- metadata/PurchaseOrders__36__metadata.json | 2 +- metadata/Receipts__37__metadata.json | 2 +- metadata/RemittanceAdvices__29__metadata.json | 2 +- metadata/UB04__6__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__22__metadata.json | 2 +- metadata/UiPathDocumentOCR__28__metadata.json | 2 +- metadata/UtilityBills__36__metadata.json | 2 +- metadata/VehicleTitles__26__metadata.json | 2 +- metadata/W2__29__metadata.json | 2 +- metadata/W9__29__metadata.json | 2 +- 49 files changed, 49 insertions(+), 49 deletions(-) diff --git a/metadata/1040ScheduleC__6__metadata.json b/metadata/1040ScheduleC__6__metadata.json index 40ab8d26..7ec267bd 100644 --- a/metadata/1040ScheduleC__6__metadata.json +++ b/metadata/1040ScheduleC__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__6__metadata.json b/metadata/1040ScheduleD__6__metadata.json index 401de587..81950faa 100644 --- a/metadata/1040ScheduleD__6__metadata.json +++ b/metadata/1040ScheduleD__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__6__metadata.json b/metadata/1040ScheduleE__6__metadata.json index aa098c2e..a840770c 100644 --- a/metadata/1040ScheduleE__6__metadata.json +++ b/metadata/1040ScheduleE__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__26__metadata.json b/metadata/1040__26__metadata.json index 09d63ec4..413a1cc0 100644 --- a/metadata/1040__26__metadata.json +++ b/metadata/1040__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__1__metadata.json b/metadata/1040x__1__metadata.json index a86c17ec..59322a82 100644 --- a/metadata/1040x__1__metadata.json +++ b/metadata/1040x__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__1__metadata.json b/metadata/3949a__1__metadata.json index f8941bed..f2bf8f77 100644 --- a/metadata/3949a__1__metadata.json +++ b/metadata/3949a__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__28__metadata.json b/metadata/4506T__28__metadata.json index 90a9eae2..0d33fd98 100644 --- a/metadata/4506T__28__metadata.json +++ b/metadata/4506T__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__1__metadata.json b/metadata/709__1__metadata.json index 510dc3aa..e4f938fb 100644 --- a/metadata/709__1__metadata.json +++ b/metadata/709__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__1__metadata.json b/metadata/941x__1__metadata.json index 82f43366..4cb62b22 100644 --- a/metadata/941x__1__metadata.json +++ b/metadata/941x__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__1__metadata.json b/metadata/9465__1__metadata.json index 6e38de07..b0af5671 100644 --- a/metadata/9465__1__metadata.json +++ b/metadata/9465__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__28__metadata.json b/metadata/990__28__metadata.json index cb3064eb..69b566b0 100644 --- a/metadata/990__28__metadata.json +++ b/metadata/990__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__28__metadata.json b/metadata/Acord125__28__metadata.json index 1d17c7fe..38ea1cac 100644 --- a/metadata/Acord125__28__metadata.json +++ b/metadata/Acord125__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__26__metadata.json b/metadata/Acord126__26__metadata.json index 28542454..194f467f 100644 --- a/metadata/Acord126__26__metadata.json +++ b/metadata/Acord126__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__26__metadata.json b/metadata/Acord131__26__metadata.json index cafbfe05..c5da42d6 100644 --- a/metadata/Acord131__26__metadata.json +++ b/metadata/Acord131__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__26__metadata.json b/metadata/Acord140__26__metadata.json index b19c74fd..fd330118 100644 --- a/metadata/Acord140__26__metadata.json +++ b/metadata/Acord140__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__26__metadata.json b/metadata/Acord25__26__metadata.json index 01eeed0b..b96f3f14 100644 --- a/metadata/Acord25__26__metadata.json +++ b/metadata/Acord25__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__26__metadata.json b/metadata/BankStatements__26__metadata.json index 8cd2de91..943de358 100644 --- a/metadata/BankStatements__26__metadata.json +++ b/metadata/BankStatements__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__26__metadata.json b/metadata/BillsOfLading__26__metadata.json index f773bdb6..10a0fa73 100644 --- a/metadata/BillsOfLading__26__metadata.json +++ b/metadata/BillsOfLading__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__15__metadata.json b/metadata/CMS1500__15__metadata.json index b25ddbae..27f54d27 100644 --- a/metadata/CMS1500__15__metadata.json +++ b/metadata/CMS1500__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__15__metadata.json b/metadata/CertificatesOfIncorporation__15__metadata.json index e0fea6bb..39d59373 100644 --- a/metadata/CertificatesOfIncorporation__15__metadata.json +++ b/metadata/CertificatesOfIncorporation__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__15__metadata.json b/metadata/CertificatesOfOrigin__15__metadata.json index 5ac9c599..9b9cf61d 100644 --- a/metadata/CertificatesOfOrigin__15__metadata.json +++ b/metadata/CertificatesOfOrigin__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__26__metadata.json b/metadata/Checks__26__metadata.json index a9b304e5..911d68e6 100644 --- a/metadata/Checks__26__metadata.json +++ b/metadata/Checks__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__15__metadata.json b/metadata/ChildrenProductCertificates__15__metadata.json index 2e5d869c..b43e769a 100644 --- a/metadata/ChildrenProductCertificates__15__metadata.json +++ b/metadata/ChildrenProductCertificates__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__28__metadata.json b/metadata/DocumentClassifier__28__metadata.json index 224eb1bd..6114deac 100644 --- a/metadata/DocumentClassifier__28__metadata.json +++ b/metadata/DocumentClassifier__28__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-ml-document-type-text-classifier:v24.10-9.21-rc03", + "imagePath": "du-ml-document-type-text-classifier:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__37__metadata.json b/metadata/DocumentUnderstanding__37__metadata.json index 6a6341e7..8e70304e 100644 --- a/metadata/DocumentUnderstanding__37__metadata.json +++ b/metadata/DocumentUnderstanding__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__15__metadata.json b/metadata/EUDeclarationOfConformity__15__metadata.json index e79c51cd..26e1c418 100644 --- a/metadata/EUDeclarationOfConformity__15__metadata.json +++ b/metadata/EUDeclarationOfConformity__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__28__metadata.json b/metadata/FM1003__28__metadata.json index 677bdac1..21837d0e 100644 --- a/metadata/FM1003__28__metadata.json +++ b/metadata/FM1003__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__26__metadata.json b/metadata/FinancialStatements__26__metadata.json index 67878956..3616754b 100644 --- a/metadata/FinancialStatements__26__metadata.json +++ b/metadata/FinancialStatements__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__28__metadata.json b/metadata/I9__28__metadata.json index f2e72b39..cfb59ddd 100644 --- a/metadata/I9__28__metadata.json +++ b/metadata/I9__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__30__metadata.json b/metadata/IDCards__30__metadata.json index f35a9163..aea057ae 100644 --- a/metadata/IDCards__30__metadata.json +++ b/metadata/IDCards__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__36__metadata.json b/metadata/IndianInvoices__36__metadata.json index 626db5e0..09ff1fb9 100644 --- a/metadata/IndianInvoices__36__metadata.json +++ b/metadata/IndianInvoices__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__29__metadata.json b/metadata/InvoicesChina__29__metadata.json index b110c830..39cde8f5 100644 --- a/metadata/InvoicesChina__29__metadata.json +++ b/metadata/InvoicesChina__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__1__metadata.json b/metadata/InvoicesHebrew__1__metadata.json index d9bb1a1f..1683590a 100644 --- a/metadata/InvoicesHebrew__1__metadata.json +++ b/metadata/InvoicesHebrew__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__15__metadata.json b/metadata/InvoicesShipping__15__metadata.json index a12c8a9e..3a4e51b2 100644 --- a/metadata/InvoicesShipping__15__metadata.json +++ b/metadata/InvoicesShipping__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__37__metadata.json b/metadata/Invoices__37__metadata.json index 0598c4ad..c237e3db 100644 --- a/metadata/Invoices__37__metadata.json +++ b/metadata/Invoices__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__34__metadata.json b/metadata/JapaneseInvoices__34__metadata.json index c4631a63..97bb00c0 100644 --- a/metadata/JapaneseInvoices__34__metadata.json +++ b/metadata/JapaneseInvoices__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__26__metadata.json b/metadata/PackingLists__26__metadata.json index 2b799748..cca506c9 100644 --- a/metadata/PackingLists__26__metadata.json +++ b/metadata/PackingLists__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__30__metadata.json b/metadata/Passports__30__metadata.json index eb1c6b8a..02dd345a 100644 --- a/metadata/Passports__30__metadata.json +++ b/metadata/Passports__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__15__metadata.json b/metadata/Payslips__15__metadata.json index 77eb2eb6..66057e9a 100644 --- a/metadata/Payslips__15__metadata.json +++ b/metadata/Payslips__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__36__metadata.json b/metadata/PurchaseOrders__36__metadata.json index dc79a236..b1eacc0f 100644 --- a/metadata/PurchaseOrders__36__metadata.json +++ b/metadata/PurchaseOrders__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__37__metadata.json b/metadata/Receipts__37__metadata.json index 98972fd6..8d529767 100644 --- a/metadata/Receipts__37__metadata.json +++ b/metadata/Receipts__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__29__metadata.json b/metadata/RemittanceAdvices__29__metadata.json index ca124baa..ae9d594b 100644 --- a/metadata/RemittanceAdvices__29__metadata.json +++ b/metadata/RemittanceAdvices__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__6__metadata.json b/metadata/UB04__6__metadata.json index 4039e873..e5c76e0e 100644 --- a/metadata/UB04__6__metadata.json +++ b/metadata/UB04__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__22__metadata.json b/metadata/UiPathDocumentOCR_CPU__22__metadata.json index c48e72a4..b35a298e 100644 --- a/metadata/UiPathDocumentOCR_CPU__22__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__22__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 22, "customVersion": "24.10.0", - "imagePath": "du-doc-ocr-cpu:v24.10-9.21-rc03", + "imagePath": "du-doc-ocr-cpu:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__28__metadata.json b/metadata/UiPathDocumentOCR__28__metadata.json index 8ce30697..b6e885ef 100644 --- a/metadata/UiPathDocumentOCR__28__metadata.json +++ b/metadata/UiPathDocumentOCR__28__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-doc-ocr:v24.10-9.21-rc03", + "imagePath": "du-doc-ocr:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__36__metadata.json b/metadata/UtilityBills__36__metadata.json index c0985fc1..39113e49 100644 --- a/metadata/UtilityBills__36__metadata.json +++ b/metadata/UtilityBills__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__26__metadata.json b/metadata/VehicleTitles__26__metadata.json index cf4014b1..18c63054 100644 --- a/metadata/VehicleTitles__26__metadata.json +++ b/metadata/VehicleTitles__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__29__metadata.json b/metadata/W2__29__metadata.json index 97d84f8f..7b8a8b63 100644 --- a/metadata/W2__29__metadata.json +++ b/metadata/W2__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__29__metadata.json b/metadata/W9__29__metadata.json index 4f746c52..72111231 100644 --- a/metadata/W9__29__metadata.json +++ b/metadata/W9__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-9.21-rc03", + "imagePath": "du-semistructured:v24.10-10.03-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 3c26f56f23310b4e1cf2e74a5107a726309d966c Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Wed, 9 Oct 2024 15:38:43 +0300 Subject: [PATCH 214/267] Update images for 22.10.14 models (#328) --- metadata/1040__23__metadata.json | 2 +- metadata/4506T__25__metadata.json | 2 +- metadata/990__25__metadata.json | 2 +- metadata/Acord125__25__metadata.json | 2 +- metadata/Acord126__23__metadata.json | 2 +- metadata/Acord131__23__metadata.json | 2 +- metadata/Acord140__23__metadata.json | 2 +- metadata/Acord25__23__metadata.json | 2 +- metadata/AustralianInvoices__29__metadata.json | 2 +- metadata/BankStatements__23__metadata.json | 2 +- metadata/BillsOfLading__23__metadata.json | 2 +- metadata/Checks__23__metadata.json | 2 +- metadata/DocumentClassifier__25__metadata.json | 2 +- metadata/DocumentUnderstanding__34__metadata.json | 2 +- metadata/FM1003__25__metadata.json | 2 +- metadata/FinancialStatements__23__metadata.json | 2 +- metadata/I9__25__metadata.json | 2 +- metadata/IDCards__27__metadata.json | 2 +- metadata/IndianInvoices__33__metadata.json | 2 +- metadata/InvoicesChina__26__metadata.json | 2 +- metadata/Invoices__34__metadata.json | 2 +- metadata/JapaneseInvoices__31__metadata.json | 2 +- metadata/PackingLists__23__metadata.json | 2 +- metadata/Passports__27__metadata.json | 2 +- metadata/PurchaseOrders__33__metadata.json | 2 +- metadata/Receipts__34__metadata.json | 2 +- metadata/RemittanceAdvices__26__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__19__metadata.json | 2 +- metadata/UiPathDocumentOCR__25__metadata.json | 2 +- metadata/UtilityBills__33__metadata.json | 2 +- metadata/VehicleTitles__23__metadata.json | 2 +- metadata/W2__26__metadata.json | 2 +- metadata/W9__26__metadata.json | 2 +- 33 files changed, 33 insertions(+), 33 deletions(-) diff --git a/metadata/1040__23__metadata.json b/metadata/1040__23__metadata.json index 1d35a480..046ea153 100644 --- a/metadata/1040__23__metadata.json +++ b/metadata/1040__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__25__metadata.json b/metadata/4506T__25__metadata.json index 303556c1..d6c4c607 100644 --- a/metadata/4506T__25__metadata.json +++ b/metadata/4506T__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__25__metadata.json b/metadata/990__25__metadata.json index c344211e..ccef8894 100644 --- a/metadata/990__25__metadata.json +++ b/metadata/990__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__25__metadata.json b/metadata/Acord125__25__metadata.json index 3b080233..764e36c4 100644 --- a/metadata/Acord125__25__metadata.json +++ b/metadata/Acord125__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__23__metadata.json b/metadata/Acord126__23__metadata.json index 925fdc05..7fcc5df3 100644 --- a/metadata/Acord126__23__metadata.json +++ b/metadata/Acord126__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__23__metadata.json b/metadata/Acord131__23__metadata.json index 42411c29..1e3dae62 100644 --- a/metadata/Acord131__23__metadata.json +++ b/metadata/Acord131__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__23__metadata.json b/metadata/Acord140__23__metadata.json index 1fe746dc..9c047bb8 100644 --- a/metadata/Acord140__23__metadata.json +++ b/metadata/Acord140__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__23__metadata.json b/metadata/Acord25__23__metadata.json index e6c1b702..7577cfee 100644 --- a/metadata/Acord25__23__metadata.json +++ b/metadata/Acord25__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__29__metadata.json b/metadata/AustralianInvoices__29__metadata.json index 17e03e35..c9d879ac 100644 --- a/metadata/AustralianInvoices__29__metadata.json +++ b/metadata/AustralianInvoices__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__23__metadata.json b/metadata/BankStatements__23__metadata.json index da0c01b2..3053c858 100644 --- a/metadata/BankStatements__23__metadata.json +++ b/metadata/BankStatements__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__23__metadata.json b/metadata/BillsOfLading__23__metadata.json index b070871d..494a40ed 100644 --- a/metadata/BillsOfLading__23__metadata.json +++ b/metadata/BillsOfLading__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__23__metadata.json b/metadata/Checks__23__metadata.json index a3ee32ff..32e5444d 100644 --- a/metadata/Checks__23__metadata.json +++ b/metadata/Checks__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__25__metadata.json b/metadata/DocumentClassifier__25__metadata.json index fda967b5..7155ddbd 100644 --- a/metadata/DocumentClassifier__25__metadata.json +++ b/metadata/DocumentClassifier__25__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-ml-document-type-text-classifier:v22.10-09.27-rc04", + "imagePath": "du-ml-document-type-text-classifier:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__34__metadata.json b/metadata/DocumentUnderstanding__34__metadata.json index f8eaf621..89bd75a4 100644 --- a/metadata/DocumentUnderstanding__34__metadata.json +++ b/metadata/DocumentUnderstanding__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__25__metadata.json b/metadata/FM1003__25__metadata.json index 17e05d73..37aa599a 100644 --- a/metadata/FM1003__25__metadata.json +++ b/metadata/FM1003__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__23__metadata.json b/metadata/FinancialStatements__23__metadata.json index 9b779d43..8c0cead9 100644 --- a/metadata/FinancialStatements__23__metadata.json +++ b/metadata/FinancialStatements__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__25__metadata.json b/metadata/I9__25__metadata.json index e5a84312..8753bc8c 100644 --- a/metadata/I9__25__metadata.json +++ b/metadata/I9__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__27__metadata.json b/metadata/IDCards__27__metadata.json index 26e3e206..65f435df 100644 --- a/metadata/IDCards__27__metadata.json +++ b/metadata/IDCards__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__33__metadata.json b/metadata/IndianInvoices__33__metadata.json index 1225be9f..10ba3fde 100644 --- a/metadata/IndianInvoices__33__metadata.json +++ b/metadata/IndianInvoices__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__26__metadata.json b/metadata/InvoicesChina__26__metadata.json index 186af12d..50f7f356 100644 --- a/metadata/InvoicesChina__26__metadata.json +++ b/metadata/InvoicesChina__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__34__metadata.json b/metadata/Invoices__34__metadata.json index 9f3fc483..68e29b85 100644 --- a/metadata/Invoices__34__metadata.json +++ b/metadata/Invoices__34__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__31__metadata.json b/metadata/JapaneseInvoices__31__metadata.json index c4e7cf41..6d9e7def 100644 --- a/metadata/JapaneseInvoices__31__metadata.json +++ b/metadata/JapaneseInvoices__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__23__metadata.json b/metadata/PackingLists__23__metadata.json index 571f46d8..932e36ab 100644 --- a/metadata/PackingLists__23__metadata.json +++ b/metadata/PackingLists__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__27__metadata.json b/metadata/Passports__27__metadata.json index 28aa0121..c0d4f24f 100644 --- a/metadata/Passports__27__metadata.json +++ b/metadata/Passports__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__33__metadata.json b/metadata/PurchaseOrders__33__metadata.json index a7526402..23af8fc1 100644 --- a/metadata/PurchaseOrders__33__metadata.json +++ b/metadata/PurchaseOrders__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__34__metadata.json b/metadata/Receipts__34__metadata.json index 178e6a9a..2ad7adb2 100644 --- a/metadata/Receipts__34__metadata.json +++ b/metadata/Receipts__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__26__metadata.json b/metadata/RemittanceAdvices__26__metadata.json index 1ec1343c..9ddd7e71 100644 --- a/metadata/RemittanceAdvices__26__metadata.json +++ b/metadata/RemittanceAdvices__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__19__metadata.json b/metadata/UiPathDocumentOCR_CPU__19__metadata.json index 864e911e..606836e3 100644 --- a/metadata/UiPathDocumentOCR_CPU__19__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__19__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 19, "customVersion": "22.10.14", - "imagePath": "du-doc-ocr-cpu:v22.10-09.27-rc04", + "imagePath": "du-doc-ocr-cpu:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__25__metadata.json b/metadata/UiPathDocumentOCR__25__metadata.json index d53548bc..6ff1778b 100644 --- a/metadata/UiPathDocumentOCR__25__metadata.json +++ b/metadata/UiPathDocumentOCR__25__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-doc-ocr:v22.10-09.27-rc04", + "imagePath": "du-doc-ocr:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__33__metadata.json b/metadata/UtilityBills__33__metadata.json index 96cdf544..334215ce 100644 --- a/metadata/UtilityBills__33__metadata.json +++ b/metadata/UtilityBills__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__23__metadata.json b/metadata/VehicleTitles__23__metadata.json index c6aa769a..2f2eb0d3 100644 --- a/metadata/VehicleTitles__23__metadata.json +++ b/metadata/VehicleTitles__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__26__metadata.json b/metadata/W2__26__metadata.json index f27bee8d..d96fdb5b 100644 --- a/metadata/W2__26__metadata.json +++ b/metadata/W2__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__26__metadata.json b/metadata/W9__26__metadata.json index 818ea4ef..06db87e5 100644 --- a/metadata/W9__26__metadata.json +++ b/metadata/W9__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-09.27-rc04", + "imagePath": "du-semistructured:v22.10-10.07-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From cfb5b3daae2c0b3817352ec186422441ff73d2e6 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Thu, 10 Oct 2024 13:49:45 +0300 Subject: [PATCH 215/267] Update 22.10.14 models with latest images (#329) --- metadata/1040__23__metadata.json | 2 +- metadata/4506T__25__metadata.json | 2 +- metadata/990__25__metadata.json | 2 +- metadata/Acord125__25__metadata.json | 2 +- metadata/Acord126__23__metadata.json | 2 +- metadata/Acord131__23__metadata.json | 2 +- metadata/Acord140__23__metadata.json | 2 +- metadata/Acord25__23__metadata.json | 2 +- metadata/AustralianInvoices__29__metadata.json | 2 +- metadata/BankStatements__23__metadata.json | 2 +- metadata/BillsOfLading__23__metadata.json | 2 +- metadata/Checks__23__metadata.json | 2 +- metadata/DocumentClassifier__25__metadata.json | 2 +- metadata/DocumentUnderstanding__34__metadata.json | 2 +- metadata/FM1003__25__metadata.json | 2 +- metadata/FinancialStatements__23__metadata.json | 2 +- metadata/I9__25__metadata.json | 2 +- metadata/IDCards__27__metadata.json | 2 +- metadata/IndianInvoices__33__metadata.json | 2 +- metadata/InvoicesChina__26__metadata.json | 2 +- metadata/Invoices__34__metadata.json | 2 +- metadata/JapaneseInvoices__31__metadata.json | 2 +- metadata/PackingLists__23__metadata.json | 2 +- metadata/Passports__27__metadata.json | 2 +- metadata/PurchaseOrders__33__metadata.json | 2 +- metadata/Receipts__34__metadata.json | 2 +- metadata/RemittanceAdvices__26__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__19__metadata.json | 2 +- metadata/UiPathDocumentOCR__25__metadata.json | 2 +- metadata/UtilityBills__33__metadata.json | 2 +- metadata/VehicleTitles__23__metadata.json | 2 +- metadata/W2__26__metadata.json | 2 +- metadata/W9__26__metadata.json | 2 +- 33 files changed, 33 insertions(+), 33 deletions(-) diff --git a/metadata/1040__23__metadata.json b/metadata/1040__23__metadata.json index 046ea153..74649652 100644 --- a/metadata/1040__23__metadata.json +++ b/metadata/1040__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__25__metadata.json b/metadata/4506T__25__metadata.json index d6c4c607..b06a63c6 100644 --- a/metadata/4506T__25__metadata.json +++ b/metadata/4506T__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__25__metadata.json b/metadata/990__25__metadata.json index ccef8894..76ab7aac 100644 --- a/metadata/990__25__metadata.json +++ b/metadata/990__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__25__metadata.json b/metadata/Acord125__25__metadata.json index 764e36c4..37a343b4 100644 --- a/metadata/Acord125__25__metadata.json +++ b/metadata/Acord125__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__23__metadata.json b/metadata/Acord126__23__metadata.json index 7fcc5df3..85e5d5d2 100644 --- a/metadata/Acord126__23__metadata.json +++ b/metadata/Acord126__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__23__metadata.json b/metadata/Acord131__23__metadata.json index 1e3dae62..7b9bd4aa 100644 --- a/metadata/Acord131__23__metadata.json +++ b/metadata/Acord131__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__23__metadata.json b/metadata/Acord140__23__metadata.json index 9c047bb8..c3e89260 100644 --- a/metadata/Acord140__23__metadata.json +++ b/metadata/Acord140__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__23__metadata.json b/metadata/Acord25__23__metadata.json index 7577cfee..0c077c67 100644 --- a/metadata/Acord25__23__metadata.json +++ b/metadata/Acord25__23__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__29__metadata.json b/metadata/AustralianInvoices__29__metadata.json index c9d879ac..cb3e51bf 100644 --- a/metadata/AustralianInvoices__29__metadata.json +++ b/metadata/AustralianInvoices__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__23__metadata.json b/metadata/BankStatements__23__metadata.json index 3053c858..e92298ae 100644 --- a/metadata/BankStatements__23__metadata.json +++ b/metadata/BankStatements__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__23__metadata.json b/metadata/BillsOfLading__23__metadata.json index 494a40ed..596800a6 100644 --- a/metadata/BillsOfLading__23__metadata.json +++ b/metadata/BillsOfLading__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__23__metadata.json b/metadata/Checks__23__metadata.json index 32e5444d..47cbedc0 100644 --- a/metadata/Checks__23__metadata.json +++ b/metadata/Checks__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__25__metadata.json b/metadata/DocumentClassifier__25__metadata.json index 7155ddbd..24879a34 100644 --- a/metadata/DocumentClassifier__25__metadata.json +++ b/metadata/DocumentClassifier__25__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-ml-document-type-text-classifier:v22.10-10.07-rc01", + "imagePath": "du-ml-document-type-text-classifier:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__34__metadata.json b/metadata/DocumentUnderstanding__34__metadata.json index 89bd75a4..64eb9c45 100644 --- a/metadata/DocumentUnderstanding__34__metadata.json +++ b/metadata/DocumentUnderstanding__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__25__metadata.json b/metadata/FM1003__25__metadata.json index 37aa599a..e07fd727 100644 --- a/metadata/FM1003__25__metadata.json +++ b/metadata/FM1003__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__23__metadata.json b/metadata/FinancialStatements__23__metadata.json index 8c0cead9..9c58cd84 100644 --- a/metadata/FinancialStatements__23__metadata.json +++ b/metadata/FinancialStatements__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__25__metadata.json b/metadata/I9__25__metadata.json index 8753bc8c..d373d423 100644 --- a/metadata/I9__25__metadata.json +++ b/metadata/I9__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__27__metadata.json b/metadata/IDCards__27__metadata.json index 65f435df..be412c31 100644 --- a/metadata/IDCards__27__metadata.json +++ b/metadata/IDCards__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__33__metadata.json b/metadata/IndianInvoices__33__metadata.json index 10ba3fde..ada895d7 100644 --- a/metadata/IndianInvoices__33__metadata.json +++ b/metadata/IndianInvoices__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__26__metadata.json b/metadata/InvoicesChina__26__metadata.json index 50f7f356..f638d052 100644 --- a/metadata/InvoicesChina__26__metadata.json +++ b/metadata/InvoicesChina__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__34__metadata.json b/metadata/Invoices__34__metadata.json index 68e29b85..632689a6 100644 --- a/metadata/Invoices__34__metadata.json +++ b/metadata/Invoices__34__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__31__metadata.json b/metadata/JapaneseInvoices__31__metadata.json index 6d9e7def..07f45eb2 100644 --- a/metadata/JapaneseInvoices__31__metadata.json +++ b/metadata/JapaneseInvoices__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__23__metadata.json b/metadata/PackingLists__23__metadata.json index 932e36ab..6c796040 100644 --- a/metadata/PackingLists__23__metadata.json +++ b/metadata/PackingLists__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__27__metadata.json b/metadata/Passports__27__metadata.json index c0d4f24f..39f479fb 100644 --- a/metadata/Passports__27__metadata.json +++ b/metadata/Passports__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__33__metadata.json b/metadata/PurchaseOrders__33__metadata.json index 23af8fc1..7122dbdc 100644 --- a/metadata/PurchaseOrders__33__metadata.json +++ b/metadata/PurchaseOrders__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__34__metadata.json b/metadata/Receipts__34__metadata.json index 2ad7adb2..a2b9695b 100644 --- a/metadata/Receipts__34__metadata.json +++ b/metadata/Receipts__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__26__metadata.json b/metadata/RemittanceAdvices__26__metadata.json index 9ddd7e71..dd01fb36 100644 --- a/metadata/RemittanceAdvices__26__metadata.json +++ b/metadata/RemittanceAdvices__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__19__metadata.json b/metadata/UiPathDocumentOCR_CPU__19__metadata.json index 606836e3..3e68af85 100644 --- a/metadata/UiPathDocumentOCR_CPU__19__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__19__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 19, "customVersion": "22.10.14", - "imagePath": "du-doc-ocr-cpu:v22.10-10.07-rc01", + "imagePath": "du-doc-ocr-cpu:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__25__metadata.json b/metadata/UiPathDocumentOCR__25__metadata.json index 6ff1778b..0a03a54d 100644 --- a/metadata/UiPathDocumentOCR__25__metadata.json +++ b/metadata/UiPathDocumentOCR__25__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 25, "customVersion": "22.10.14", - "imagePath": "du-doc-ocr:v22.10-10.07-rc01", + "imagePath": "du-doc-ocr:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__33__metadata.json b/metadata/UtilityBills__33__metadata.json index 334215ce..3143b2f7 100644 --- a/metadata/UtilityBills__33__metadata.json +++ b/metadata/UtilityBills__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__23__metadata.json b/metadata/VehicleTitles__23__metadata.json index 2f2eb0d3..27a960ca 100644 --- a/metadata/VehicleTitles__23__metadata.json +++ b/metadata/VehicleTitles__23__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 23, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__26__metadata.json b/metadata/W2__26__metadata.json index d96fdb5b..53699da2 100644 --- a/metadata/W2__26__metadata.json +++ b/metadata/W2__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__26__metadata.json b/metadata/W9__26__metadata.json index 06db87e5..02e30bd5 100644 --- a/metadata/W9__26__metadata.json +++ b/metadata/W9__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.07-rc01", + "imagePath": "du-semistructured:v22.10-10.10-rc01", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 85935aa1143854c90840242c03e45fdae9f56996 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Thu, 10 Oct 2024 18:10:24 +0300 Subject: [PATCH 216/267] Update 23.4.9 packages with latest images (#330) --- metadata/1040__24__metadata.json | 2 +- metadata/4506T__26__metadata.json | 2 +- metadata/990__26__metadata.json | 2 +- metadata/Acord125__26__metadata.json | 2 +- metadata/Acord126__24__metadata.json | 2 +- metadata/Acord131__24__metadata.json | 2 +- metadata/Acord140__24__metadata.json | 2 +- metadata/Acord25__24__metadata.json | 2 +- metadata/AustralianInvoices__30__metadata.json | 2 +- metadata/BankStatements__24__metadata.json | 2 +- metadata/BillsOfLading__24__metadata.json | 2 +- metadata/CMS1500__13__metadata.json | 2 +- metadata/CertificatesOfIncorporation__13__metadata.json | 2 +- metadata/CertificatesOfOrigin__13__metadata.json | 2 +- metadata/Checks__24__metadata.json | 2 +- metadata/ChildrenProductCertificates__13__metadata.json | 2 +- metadata/DocumentClassifier__26__metadata.json | 2 +- metadata/DocumentUnderstanding__35__metadata.json | 2 +- metadata/EUDeclarationOfConformity__13__metadata.json | 2 +- metadata/FM1003__26__metadata.json | 2 +- metadata/FinancialStatements__24__metadata.json | 2 +- metadata/I9__26__metadata.json | 2 +- metadata/IDCards__28__metadata.json | 2 +- metadata/IndianInvoices__34__metadata.json | 2 +- metadata/InvoicesChina__27__metadata.json | 2 +- metadata/InvoicesShipping__13__metadata.json | 2 +- metadata/Invoices__35__metadata.json | 2 +- metadata/JapaneseInvoices__32__metadata.json | 2 +- metadata/PackingLists__24__metadata.json | 2 +- metadata/Passports__28__metadata.json | 2 +- metadata/Payslips__13__metadata.json | 2 +- metadata/PurchaseOrders__34__metadata.json | 2 +- metadata/Receipts__35__metadata.json | 2 +- metadata/RemittanceAdvices__27__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__20__metadata.json | 2 +- metadata/UiPathDocumentOCR__26__metadata.json | 2 +- metadata/UtilityBills__34__metadata.json | 2 +- metadata/VehicleTitles__24__metadata.json | 2 +- metadata/W2__27__metadata.json | 2 +- metadata/W9__27__metadata.json | 2 +- 40 files changed, 40 insertions(+), 40 deletions(-) diff --git a/metadata/1040__24__metadata.json b/metadata/1040__24__metadata.json index e7a4903c..724dcc84 100644 --- a/metadata/1040__24__metadata.json +++ b/metadata/1040__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__26__metadata.json b/metadata/4506T__26__metadata.json index 10495656..0e2161e6 100644 --- a/metadata/4506T__26__metadata.json +++ b/metadata/4506T__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__26__metadata.json b/metadata/990__26__metadata.json index 7648d1a8..cae357a2 100644 --- a/metadata/990__26__metadata.json +++ b/metadata/990__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__26__metadata.json b/metadata/Acord125__26__metadata.json index 5bdced22..cf3e9085 100644 --- a/metadata/Acord125__26__metadata.json +++ b/metadata/Acord125__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__24__metadata.json b/metadata/Acord126__24__metadata.json index 62675a98..7ef84562 100644 --- a/metadata/Acord126__24__metadata.json +++ b/metadata/Acord126__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__24__metadata.json b/metadata/Acord131__24__metadata.json index 0dbabcc8..026b4c2a 100644 --- a/metadata/Acord131__24__metadata.json +++ b/metadata/Acord131__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__24__metadata.json b/metadata/Acord140__24__metadata.json index b9290823..a87d664f 100644 --- a/metadata/Acord140__24__metadata.json +++ b/metadata/Acord140__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__24__metadata.json b/metadata/Acord25__24__metadata.json index f86bb4ac..8510d1ed 100644 --- a/metadata/Acord25__24__metadata.json +++ b/metadata/Acord25__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/AustralianInvoices__30__metadata.json b/metadata/AustralianInvoices__30__metadata.json index 6f387ef2..1792c34c 100644 --- a/metadata/AustralianInvoices__30__metadata.json +++ b/metadata/AustralianInvoices__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__24__metadata.json b/metadata/BankStatements__24__metadata.json index 07fe4305..c1818caf 100644 --- a/metadata/BankStatements__24__metadata.json +++ b/metadata/BankStatements__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__24__metadata.json b/metadata/BillsOfLading__24__metadata.json index 930cf230..abdffbee 100644 --- a/metadata/BillsOfLading__24__metadata.json +++ b/metadata/BillsOfLading__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__13__metadata.json b/metadata/CMS1500__13__metadata.json index 85268670..eb20d8a7 100644 --- a/metadata/CMS1500__13__metadata.json +++ b/metadata/CMS1500__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__13__metadata.json b/metadata/CertificatesOfIncorporation__13__metadata.json index 22e3653d..c2328de0 100644 --- a/metadata/CertificatesOfIncorporation__13__metadata.json +++ b/metadata/CertificatesOfIncorporation__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__13__metadata.json b/metadata/CertificatesOfOrigin__13__metadata.json index b4160bdf..2035a325 100644 --- a/metadata/CertificatesOfOrigin__13__metadata.json +++ b/metadata/CertificatesOfOrigin__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__24__metadata.json b/metadata/Checks__24__metadata.json index e641ebc7..2f855f79 100644 --- a/metadata/Checks__24__metadata.json +++ b/metadata/Checks__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__13__metadata.json b/metadata/ChildrenProductCertificates__13__metadata.json index 3533c3ee..930bba8d 100644 --- a/metadata/ChildrenProductCertificates__13__metadata.json +++ b/metadata/ChildrenProductCertificates__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__26__metadata.json b/metadata/DocumentClassifier__26__metadata.json index a3f1e2d6..c8b6fb7f 100644 --- a/metadata/DocumentClassifier__26__metadata.json +++ b/metadata/DocumentClassifier__26__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-ml-document-type-text-classifier:v23.4-09.27-rc02", + "imagePath": "du-ml-document-type-text-classifier:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__35__metadata.json b/metadata/DocumentUnderstanding__35__metadata.json index de8b5039..851604e3 100644 --- a/metadata/DocumentUnderstanding__35__metadata.json +++ b/metadata/DocumentUnderstanding__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__13__metadata.json b/metadata/EUDeclarationOfConformity__13__metadata.json index fc7e73e0..dbc1057b 100644 --- a/metadata/EUDeclarationOfConformity__13__metadata.json +++ b/metadata/EUDeclarationOfConformity__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__26__metadata.json b/metadata/FM1003__26__metadata.json index b4403403..6cc2433b 100644 --- a/metadata/FM1003__26__metadata.json +++ b/metadata/FM1003__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__24__metadata.json b/metadata/FinancialStatements__24__metadata.json index b8ee4ba6..dcf01ae7 100644 --- a/metadata/FinancialStatements__24__metadata.json +++ b/metadata/FinancialStatements__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__26__metadata.json b/metadata/I9__26__metadata.json index b922c9aa..d1d8fd1d 100644 --- a/metadata/I9__26__metadata.json +++ b/metadata/I9__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__28__metadata.json b/metadata/IDCards__28__metadata.json index 744b89e8..1fc06f91 100644 --- a/metadata/IDCards__28__metadata.json +++ b/metadata/IDCards__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__34__metadata.json b/metadata/IndianInvoices__34__metadata.json index 7ccc74e8..1327a872 100644 --- a/metadata/IndianInvoices__34__metadata.json +++ b/metadata/IndianInvoices__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__27__metadata.json b/metadata/InvoicesChina__27__metadata.json index 0adf3d6f..dc5c1ba0 100644 --- a/metadata/InvoicesChina__27__metadata.json +++ b/metadata/InvoicesChina__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__13__metadata.json b/metadata/InvoicesShipping__13__metadata.json index d9a2c54c..6725815a 100644 --- a/metadata/InvoicesShipping__13__metadata.json +++ b/metadata/InvoicesShipping__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__35__metadata.json b/metadata/Invoices__35__metadata.json index 197598ca..79df4825 100644 --- a/metadata/Invoices__35__metadata.json +++ b/metadata/Invoices__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__32__metadata.json b/metadata/JapaneseInvoices__32__metadata.json index 42350d79..f090f44d 100644 --- a/metadata/JapaneseInvoices__32__metadata.json +++ b/metadata/JapaneseInvoices__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__24__metadata.json b/metadata/PackingLists__24__metadata.json index d8f3b347..719e0eeb 100644 --- a/metadata/PackingLists__24__metadata.json +++ b/metadata/PackingLists__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__28__metadata.json b/metadata/Passports__28__metadata.json index e68fa183..99a2aefb 100644 --- a/metadata/Passports__28__metadata.json +++ b/metadata/Passports__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__13__metadata.json b/metadata/Payslips__13__metadata.json index 18a22308..76e9a121 100644 --- a/metadata/Payslips__13__metadata.json +++ b/metadata/Payslips__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__34__metadata.json b/metadata/PurchaseOrders__34__metadata.json index 423e922a..031bae00 100644 --- a/metadata/PurchaseOrders__34__metadata.json +++ b/metadata/PurchaseOrders__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__35__metadata.json b/metadata/Receipts__35__metadata.json index 7ad6b12d..862788fd 100644 --- a/metadata/Receipts__35__metadata.json +++ b/metadata/Receipts__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__27__metadata.json b/metadata/RemittanceAdvices__27__metadata.json index 540a1041..4be7d589 100644 --- a/metadata/RemittanceAdvices__27__metadata.json +++ b/metadata/RemittanceAdvices__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__20__metadata.json b/metadata/UiPathDocumentOCR_CPU__20__metadata.json index 5c57037b..70bb25e5 100644 --- a/metadata/UiPathDocumentOCR_CPU__20__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__20__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 20, "customVersion": "23.4.9", - "imagePath": "du-doc-ocr-cpu:v23.4-09.27-rc02", + "imagePath": "du-doc-ocr-cpu:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__26__metadata.json b/metadata/UiPathDocumentOCR__26__metadata.json index ac8da41d..a9ae1aee 100644 --- a/metadata/UiPathDocumentOCR__26__metadata.json +++ b/metadata/UiPathDocumentOCR__26__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 26, "customVersion": "23.4.9", - "imagePath": "du-doc-ocr:v23.4-09.27-rc02", + "imagePath": "du-doc-ocr:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__34__metadata.json b/metadata/UtilityBills__34__metadata.json index 685083b8..4c563a9e 100644 --- a/metadata/UtilityBills__34__metadata.json +++ b/metadata/UtilityBills__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__24__metadata.json b/metadata/VehicleTitles__24__metadata.json index f4b38f6b..56c32797 100644 --- a/metadata/VehicleTitles__24__metadata.json +++ b/metadata/VehicleTitles__24__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 24, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__27__metadata.json b/metadata/W2__27__metadata.json index e72ee8d5..44df580f 100644 --- a/metadata/W2__27__metadata.json +++ b/metadata/W2__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__27__metadata.json b/metadata/W9__27__metadata.json index 0416bea2..107cc83d 100644 --- a/metadata/W9__27__metadata.json +++ b/metadata/W9__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-09.27-rc02", + "imagePath": "du-semistructured:v23.4-10.10-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 271cfa891dee06f9a9f25560a6e7c5c47d121b0b Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Fri, 18 Oct 2024 09:13:19 +0300 Subject: [PATCH 217/267] Bump ssde image versions (#332) --- metadata/1040ScheduleC__6__metadata.json | 2 +- metadata/1040ScheduleD__6__metadata.json | 2 +- metadata/1040ScheduleE__6__metadata.json | 2 +- metadata/1040__26__metadata.json | 2 +- metadata/1040x__1__metadata.json | 2 +- metadata/3949a__1__metadata.json | 2 +- metadata/4506T__28__metadata.json | 2 +- metadata/709__1__metadata.json | 2 +- metadata/941x__1__metadata.json | 2 +- metadata/9465__1__metadata.json | 2 +- metadata/990__28__metadata.json | 2 +- metadata/Acord125__28__metadata.json | 2 +- metadata/Acord126__26__metadata.json | 2 +- metadata/Acord131__26__metadata.json | 2 +- metadata/Acord140__26__metadata.json | 2 +- metadata/Acord25__26__metadata.json | 2 +- metadata/BankStatements__26__metadata.json | 2 +- metadata/BillsOfLading__26__metadata.json | 2 +- metadata/CMS1500__15__metadata.json | 2 +- metadata/CertificatesOfIncorporation__15__metadata.json | 2 +- metadata/CertificatesOfOrigin__15__metadata.json | 2 +- metadata/Checks__26__metadata.json | 2 +- metadata/ChildrenProductCertificates__15__metadata.json | 2 +- metadata/DocumentUnderstanding__37__metadata.json | 2 +- metadata/EUDeclarationOfConformity__15__metadata.json | 2 +- metadata/FM1003__28__metadata.json | 2 +- metadata/FinancialStatements__26__metadata.json | 2 +- metadata/I9__28__metadata.json | 2 +- metadata/IDCards__30__metadata.json | 2 +- metadata/IndianInvoices__36__metadata.json | 2 +- metadata/InvoicesChina__29__metadata.json | 2 +- metadata/InvoicesHebrew__1__metadata.json | 2 +- metadata/InvoicesShipping__15__metadata.json | 2 +- metadata/Invoices__37__metadata.json | 2 +- metadata/JapaneseInvoices__34__metadata.json | 2 +- metadata/PackingLists__26__metadata.json | 2 +- metadata/Passports__30__metadata.json | 2 +- metadata/Payslips__15__metadata.json | 2 +- metadata/PurchaseOrders__36__metadata.json | 2 +- metadata/Receipts__37__metadata.json | 2 +- metadata/RemittanceAdvices__29__metadata.json | 2 +- metadata/UB04__6__metadata.json | 2 +- metadata/UtilityBills__36__metadata.json | 2 +- metadata/VehicleTitles__26__metadata.json | 2 +- metadata/W2__29__metadata.json | 2 +- metadata/W9__29__metadata.json | 2 +- 46 files changed, 46 insertions(+), 46 deletions(-) diff --git a/metadata/1040ScheduleC__6__metadata.json b/metadata/1040ScheduleC__6__metadata.json index 7ec267bd..e4c5257a 100644 --- a/metadata/1040ScheduleC__6__metadata.json +++ b/metadata/1040ScheduleC__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__6__metadata.json b/metadata/1040ScheduleD__6__metadata.json index 81950faa..a707d39b 100644 --- a/metadata/1040ScheduleD__6__metadata.json +++ b/metadata/1040ScheduleD__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__6__metadata.json b/metadata/1040ScheduleE__6__metadata.json index a840770c..5a5421a8 100644 --- a/metadata/1040ScheduleE__6__metadata.json +++ b/metadata/1040ScheduleE__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__26__metadata.json b/metadata/1040__26__metadata.json index 413a1cc0..cf23a611 100644 --- a/metadata/1040__26__metadata.json +++ b/metadata/1040__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__1__metadata.json b/metadata/1040x__1__metadata.json index 59322a82..c5388ee7 100644 --- a/metadata/1040x__1__metadata.json +++ b/metadata/1040x__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__1__metadata.json b/metadata/3949a__1__metadata.json index f2bf8f77..e00dbe35 100644 --- a/metadata/3949a__1__metadata.json +++ b/metadata/3949a__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__28__metadata.json b/metadata/4506T__28__metadata.json index 0d33fd98..8426a789 100644 --- a/metadata/4506T__28__metadata.json +++ b/metadata/4506T__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__1__metadata.json b/metadata/709__1__metadata.json index e4f938fb..e2644633 100644 --- a/metadata/709__1__metadata.json +++ b/metadata/709__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__1__metadata.json b/metadata/941x__1__metadata.json index 4cb62b22..5a5020fb 100644 --- a/metadata/941x__1__metadata.json +++ b/metadata/941x__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__1__metadata.json b/metadata/9465__1__metadata.json index b0af5671..7b6d5484 100644 --- a/metadata/9465__1__metadata.json +++ b/metadata/9465__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/990__28__metadata.json b/metadata/990__28__metadata.json index 69b566b0..cd24eff6 100644 --- a/metadata/990__28__metadata.json +++ b/metadata/990__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__28__metadata.json b/metadata/Acord125__28__metadata.json index 38ea1cac..e42ddab9 100644 --- a/metadata/Acord125__28__metadata.json +++ b/metadata/Acord125__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__26__metadata.json b/metadata/Acord126__26__metadata.json index 194f467f..8834af8a 100644 --- a/metadata/Acord126__26__metadata.json +++ b/metadata/Acord126__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__26__metadata.json b/metadata/Acord131__26__metadata.json index c5da42d6..0e70aa3a 100644 --- a/metadata/Acord131__26__metadata.json +++ b/metadata/Acord131__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__26__metadata.json b/metadata/Acord140__26__metadata.json index fd330118..46285dd9 100644 --- a/metadata/Acord140__26__metadata.json +++ b/metadata/Acord140__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__26__metadata.json b/metadata/Acord25__26__metadata.json index b96f3f14..9e92a97d 100644 --- a/metadata/Acord25__26__metadata.json +++ b/metadata/Acord25__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__26__metadata.json b/metadata/BankStatements__26__metadata.json index 943de358..4a471f54 100644 --- a/metadata/BankStatements__26__metadata.json +++ b/metadata/BankStatements__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__26__metadata.json b/metadata/BillsOfLading__26__metadata.json index 10a0fa73..e4c7e715 100644 --- a/metadata/BillsOfLading__26__metadata.json +++ b/metadata/BillsOfLading__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__15__metadata.json b/metadata/CMS1500__15__metadata.json index 27f54d27..35c90a68 100644 --- a/metadata/CMS1500__15__metadata.json +++ b/metadata/CMS1500__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__15__metadata.json b/metadata/CertificatesOfIncorporation__15__metadata.json index 39d59373..31f58181 100644 --- a/metadata/CertificatesOfIncorporation__15__metadata.json +++ b/metadata/CertificatesOfIncorporation__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__15__metadata.json b/metadata/CertificatesOfOrigin__15__metadata.json index 9b9cf61d..b64bd000 100644 --- a/metadata/CertificatesOfOrigin__15__metadata.json +++ b/metadata/CertificatesOfOrigin__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__26__metadata.json b/metadata/Checks__26__metadata.json index 911d68e6..5c736db7 100644 --- a/metadata/Checks__26__metadata.json +++ b/metadata/Checks__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__15__metadata.json b/metadata/ChildrenProductCertificates__15__metadata.json index b43e769a..a7ca4870 100644 --- a/metadata/ChildrenProductCertificates__15__metadata.json +++ b/metadata/ChildrenProductCertificates__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__37__metadata.json b/metadata/DocumentUnderstanding__37__metadata.json index 8e70304e..57698783 100644 --- a/metadata/DocumentUnderstanding__37__metadata.json +++ b/metadata/DocumentUnderstanding__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__15__metadata.json b/metadata/EUDeclarationOfConformity__15__metadata.json index 26e1c418..3c62fd5c 100644 --- a/metadata/EUDeclarationOfConformity__15__metadata.json +++ b/metadata/EUDeclarationOfConformity__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__28__metadata.json b/metadata/FM1003__28__metadata.json index 21837d0e..68c9d33c 100644 --- a/metadata/FM1003__28__metadata.json +++ b/metadata/FM1003__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__26__metadata.json b/metadata/FinancialStatements__26__metadata.json index 3616754b..c164bc59 100644 --- a/metadata/FinancialStatements__26__metadata.json +++ b/metadata/FinancialStatements__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__28__metadata.json b/metadata/I9__28__metadata.json index cfb59ddd..d17503cf 100644 --- a/metadata/I9__28__metadata.json +++ b/metadata/I9__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__30__metadata.json b/metadata/IDCards__30__metadata.json index aea057ae..dd8417ed 100644 --- a/metadata/IDCards__30__metadata.json +++ b/metadata/IDCards__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__36__metadata.json b/metadata/IndianInvoices__36__metadata.json index 09ff1fb9..24e47b6b 100644 --- a/metadata/IndianInvoices__36__metadata.json +++ b/metadata/IndianInvoices__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__29__metadata.json b/metadata/InvoicesChina__29__metadata.json index 39cde8f5..3a6f0d05 100644 --- a/metadata/InvoicesChina__29__metadata.json +++ b/metadata/InvoicesChina__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__1__metadata.json b/metadata/InvoicesHebrew__1__metadata.json index 1683590a..7dcb5f5c 100644 --- a/metadata/InvoicesHebrew__1__metadata.json +++ b/metadata/InvoicesHebrew__1__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 1, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__15__metadata.json b/metadata/InvoicesShipping__15__metadata.json index 3a4e51b2..c14cf77f 100644 --- a/metadata/InvoicesShipping__15__metadata.json +++ b/metadata/InvoicesShipping__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__37__metadata.json b/metadata/Invoices__37__metadata.json index c237e3db..2deedb33 100644 --- a/metadata/Invoices__37__metadata.json +++ b/metadata/Invoices__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__34__metadata.json b/metadata/JapaneseInvoices__34__metadata.json index 97bb00c0..5038e4c3 100644 --- a/metadata/JapaneseInvoices__34__metadata.json +++ b/metadata/JapaneseInvoices__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__26__metadata.json b/metadata/PackingLists__26__metadata.json index cca506c9..31ee5144 100644 --- a/metadata/PackingLists__26__metadata.json +++ b/metadata/PackingLists__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__30__metadata.json b/metadata/Passports__30__metadata.json index 02dd345a..8e21bce8 100644 --- a/metadata/Passports__30__metadata.json +++ b/metadata/Passports__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__15__metadata.json b/metadata/Payslips__15__metadata.json index 66057e9a..0662d76f 100644 --- a/metadata/Payslips__15__metadata.json +++ b/metadata/Payslips__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__36__metadata.json b/metadata/PurchaseOrders__36__metadata.json index b1eacc0f..7c1f9735 100644 --- a/metadata/PurchaseOrders__36__metadata.json +++ b/metadata/PurchaseOrders__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__37__metadata.json b/metadata/Receipts__37__metadata.json index 8d529767..e1603077 100644 --- a/metadata/Receipts__37__metadata.json +++ b/metadata/Receipts__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__29__metadata.json b/metadata/RemittanceAdvices__29__metadata.json index ae9d594b..c39a008a 100644 --- a/metadata/RemittanceAdvices__29__metadata.json +++ b/metadata/RemittanceAdvices__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__6__metadata.json b/metadata/UB04__6__metadata.json index e5c76e0e..e1c80ccd 100644 --- a/metadata/UB04__6__metadata.json +++ b/metadata/UB04__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__36__metadata.json b/metadata/UtilityBills__36__metadata.json index 39113e49..c3ab7676 100644 --- a/metadata/UtilityBills__36__metadata.json +++ b/metadata/UtilityBills__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__26__metadata.json b/metadata/VehicleTitles__26__metadata.json index 18c63054..7fa6caba 100644 --- a/metadata/VehicleTitles__26__metadata.json +++ b/metadata/VehicleTitles__26__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__29__metadata.json b/metadata/W2__29__metadata.json index 7b8a8b63..8df22de9 100644 --- a/metadata/W2__29__metadata.json +++ b/metadata/W2__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__29__metadata.json b/metadata/W9__29__metadata.json index 72111231..bda9ae79 100644 --- a/metadata/W9__29__metadata.json +++ b/metadata/W9__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.03-rc02", + "imagePath": "du-semistructured:v24.10-10.17-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 68b5bb6d81991f72af5af98685cf5e1d9d685882 Mon Sep 17 00:00:00 2001 From: andznui <98815714+andznui@users.noreply.github.com> Date: Tue, 5 Nov 2024 12:19:36 +0200 Subject: [PATCH 218/267] Add new NER version (#334) * Add new NER version * feedback --- ...mNamedEntityRecognition__10__metadata.json | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/CustomNamedEntityRecognition__10__metadata.json diff --git a/metadata/CustomNamedEntityRecognition__10__metadata.json b/metadata/CustomNamedEntityRecognition__10__metadata.json new file mode 100644 index 00000000..64603460 --- /dev/null +++ b/metadata/CustomNamedEntityRecognition__10__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "CustomNamedEntityRecognition", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", + "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", + "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "CustomNamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 10, + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/10/ner_package.zip" +} From d2b6894ae16d29d0cf2be738318c82d16daade50 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Fri, 15 Nov 2024 16:36:17 +0200 Subject: [PATCH 219/267] Metadata for OCR 24.10.1 (#338) --- metadata/UiPathDocumentOCR__29__metadata.json | 26 +++++++++++++++++++ 1 file changed, 26 insertions(+) create mode 100644 metadata/UiPathDocumentOCR__29__metadata.json diff --git a/metadata/UiPathDocumentOCR__29__metadata.json b/metadata/UiPathDocumentOCR__29__metadata.json new file mode 100644 index 00000000..e4fd35c1 --- /dev/null +++ b/metadata/UiPathDocumentOCR__29__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.1", + "imagePath": "du-doc-ocr:v24.10-11.15-rc05", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} From 1c2640d661eda2ff894c05bda0ddd66502577d11 Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Tue, 19 Nov 2024 11:04:39 +0200 Subject: [PATCH 220/267] feat(computer-vision): Add 24.10.0.1 [CV-929] [CV-930] [CV-1053] (#341) --- ...data.json => ComputerVision__124100001__metadata.json} | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) rename metadata/{ComputerVision__124100000__metadata.json => ComputerVision__124100001__metadata.json} (91%) diff --git a/metadata/ComputerVision__124100000__metadata.json b/metadata/ComputerVision__124100001__metadata.json similarity index 91% rename from metadata/ComputerVision__124100000__metadata.json rename to metadata/ComputerVision__124100001__metadata.json index 65dbaede..1fe4e6ff 100644 --- a/metadata/ComputerVision__124100000__metadata.json +++ b/metadata/ComputerVision__124100001__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.6.1", + "changeLog": "Release v2023.10.7.1", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 124100000, - "customVersion": "23.10.6.1", - "imagePath": "cv2410:24.10.0.0", + "version": 124100001, + "customVersion": "23.10.7.1", + "imagePath": "cv2410:24.10.0.1", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From 75800b0a97ca8a163fc2dd4d7a1ba80e2dc7a263 Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Tue, 19 Nov 2024 11:04:49 +0200 Subject: [PATCH 221/267] feat(computer-vision): Add 23.10.5.15 [CV-1052] [CV-1042] [CV-1041] (#340) --- ...data.json => ComputerVision__123100515__metadata.json} | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) rename metadata/{ComputerVision__123100512__metadata.json => ComputerVision__123100515__metadata.json} (91%) diff --git a/metadata/ComputerVision__123100512__metadata.json b/metadata/ComputerVision__123100515__metadata.json similarity index 91% rename from metadata/ComputerVision__123100512__metadata.json rename to metadata/ComputerVision__123100515__metadata.json index 01f4c43d..ac268d4a 100644 --- a/metadata/ComputerVision__123100512__metadata.json +++ b/metadata/ComputerVision__123100515__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.6", + "changeLog": "Release v2023.10.7", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 123100512, - "customVersion": "23.10.6", - "imagePath": "cv2310:23.10.5.12", + "version": 123100515, + "customVersion": "23.10.7", + "imagePath": "cv2310:23.10.5.15", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From c1a2f51a168639ffce64bd689b35196842f6da98 Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Tue, 19 Nov 2024 11:04:58 +0200 Subject: [PATCH 222/267] feat(computer-vision): Add 23.4.13.3 [CV-909] [CV-910] [CV-1054] (#339) --- ...data.json => ComputerVision__123041303__metadata.json} | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) rename metadata/{ComputerVision__123041302__metadata.json => ComputerVision__123041303__metadata.json} (91%) diff --git a/metadata/ComputerVision__123041302__metadata.json b/metadata/ComputerVision__123041303__metadata.json similarity index 91% rename from metadata/ComputerVision__123041302__metadata.json rename to metadata/ComputerVision__123041303__metadata.json index a2d2ce4e..d0d46bac 100644 --- a/metadata/ComputerVision__123041302__metadata.json +++ b/metadata/ComputerVision__123041303__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.04.9", + "changeLog": "Release v2023.04.10", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 123041302, - "customVersion": "23.04.9", - "imagePath": "cv2304:23.4.13.2", + "version": 123041303, + "customVersion": "23.04.10", + "imagePath": "cv2304:23.4.13.3", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" } From 4bc0d75d440df1fbf0449b685b0357fe637442b5 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Thu, 21 Nov 2024 09:45:05 +0200 Subject: [PATCH 223/267] Add metadatas for 23.4.10 release (#342) --- metadata/1040__27__metadata.json | 33 +++++++++++++++++++ metadata/4506T__29__metadata.json | 33 +++++++++++++++++++ metadata/990__29__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__29__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__27__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__27__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__27__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__27__metadata.json | 33 +++++++++++++++++++ .../AustralianInvoices__31__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__27__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__27__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__16__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__16__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__16__metadata.json | 33 +++++++++++++++++++ metadata/Checks__27__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__16__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__29__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__38__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__16__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__29__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__27__metadata.json | 32 ++++++++++++++++++ metadata/I9__29__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__31__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__37__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__30__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__16__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__38__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__35__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__27__metadata.json | 32 ++++++++++++++++++ metadata/Passports__31__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__16__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__37__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__38__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__30__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__23__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__30__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__37__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__27__metadata.json | 32 ++++++++++++++++++ metadata/W2__30__metadata.json | 33 +++++++++++++++++++ metadata/W9__30__metadata.json | 33 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 6 ++-- 41 files changed, 1295 insertions(+), 3 deletions(-) create mode 100644 metadata/1040__27__metadata.json create mode 100644 metadata/4506T__29__metadata.json create mode 100644 metadata/990__29__metadata.json create mode 100644 metadata/Acord125__29__metadata.json create mode 100644 metadata/Acord126__27__metadata.json create mode 100644 metadata/Acord131__27__metadata.json create mode 100644 metadata/Acord140__27__metadata.json create mode 100644 metadata/Acord25__27__metadata.json create mode 100644 metadata/AustralianInvoices__31__metadata.json create mode 100644 metadata/BankStatements__27__metadata.json create mode 100644 metadata/BillsOfLading__27__metadata.json create mode 100644 metadata/CMS1500__16__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__16__metadata.json create mode 100644 metadata/CertificatesOfOrigin__16__metadata.json create mode 100644 metadata/Checks__27__metadata.json create mode 100644 metadata/ChildrenProductCertificates__16__metadata.json create mode 100644 metadata/DocumentClassifier__29__metadata.json create mode 100644 metadata/DocumentUnderstanding__38__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__16__metadata.json create mode 100644 metadata/FM1003__29__metadata.json create mode 100644 metadata/FinancialStatements__27__metadata.json create mode 100644 metadata/I9__29__metadata.json create mode 100644 metadata/IDCards__31__metadata.json create mode 100644 metadata/IndianInvoices__37__metadata.json create mode 100644 metadata/InvoicesChina__30__metadata.json create mode 100644 metadata/InvoicesShipping__16__metadata.json create mode 100644 metadata/Invoices__38__metadata.json create mode 100644 metadata/JapaneseInvoices__35__metadata.json create mode 100644 metadata/PackingLists__27__metadata.json create mode 100644 metadata/Passports__31__metadata.json create mode 100644 metadata/Payslips__16__metadata.json create mode 100644 metadata/PurchaseOrders__37__metadata.json create mode 100644 metadata/Receipts__38__metadata.json create mode 100644 metadata/RemittanceAdvices__30__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__23__metadata.json create mode 100644 metadata/UiPathDocumentOCR__30__metadata.json create mode 100644 metadata/UtilityBills__37__metadata.json create mode 100644 metadata/VehicleTitles__27__metadata.json create mode 100644 metadata/W2__30__metadata.json create mode 100644 metadata/W9__30__metadata.json diff --git a/metadata/1040__27__metadata.json b/metadata/1040__27__metadata.json new file mode 100644 index 00000000..ecfec1a2 --- /dev/null +++ b/metadata/1040__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ] +} diff --git a/metadata/Acord125__29__metadata.json b/metadata/Acord125__29__metadata.json new file mode 100644 index 00000000..9e88eb73 --- /dev/null +++ b/metadata/Acord125__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__27__metadata.json b/metadata/Acord126__27__metadata.json new file mode 100644 index 00000000..be631d93 --- /dev/null +++ b/metadata/Acord126__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__27__metadata.json b/metadata/Acord131__27__metadata.json new file mode 100644 index 00000000..627455b9 --- /dev/null +++ b/metadata/Acord131__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__27__metadata.json b/metadata/Acord140__27__metadata.json new file mode 100644 index 00000000..39b6c339 --- /dev/null +++ b/metadata/Acord140__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__27__metadata.json b/metadata/Acord25__27__metadata.json new file mode 100644 index 00000000..82f03ddb --- /dev/null +++ b/metadata/Acord25__27__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/AustralianInvoices__31__metadata.json b/metadata/AustralianInvoices__31__metadata.json new file mode 100644 index 00000000..15ae55ed --- /dev/null +++ b/metadata/AustralianInvoices__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/BankStatements__27__metadata.json b/metadata/BankStatements__27__metadata.json new file mode 100644 index 00000000..835276d2 --- /dev/null +++ b/metadata/BankStatements__27__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__27__metadata.json b/metadata/BillsOfLading__27__metadata.json new file mode 100644 index 00000000..73753d4b --- /dev/null +++ b/metadata/BillsOfLading__27__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__16__metadata.json b/metadata/CMS1500__16__metadata.json new file mode 100644 index 00000000..de7934ec --- /dev/null +++ b/metadata/CMS1500__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__16__metadata.json b/metadata/CertificatesOfIncorporation__16__metadata.json new file mode 100644 index 00000000..eab78bed --- /dev/null +++ b/metadata/CertificatesOfIncorporation__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__16__metadata.json b/metadata/CertificatesOfOrigin__16__metadata.json new file mode 100644 index 00000000..4da6938d --- /dev/null +++ b/metadata/CertificatesOfOrigin__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__27__metadata.json b/metadata/Checks__27__metadata.json new file mode 100644 index 00000000..0c731a17 --- /dev/null +++ b/metadata/Checks__27__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__16__metadata.json b/metadata/ChildrenProductCertificates__16__metadata.json new file mode 100644 index 00000000..8dd4c36f --- /dev/null +++ b/metadata/ChildrenProductCertificates__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__29__metadata.json b/metadata/DocumentClassifier__29__metadata.json new file mode 100644 index 00000000..10f7fdfc --- /dev/null +++ b/metadata/DocumentClassifier__29__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.4.10", + "imagePath": "du-ml-document-type-text-classifier:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__38__metadata.json b/metadata/DocumentUnderstanding__38__metadata.json new file mode 100644 index 00000000..b6555f90 --- /dev/null +++ b/metadata/DocumentUnderstanding__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__16__metadata.json b/metadata/EUDeclarationOfConformity__16__metadata.json new file mode 100644 index 00000000..f1b1de6e --- /dev/null +++ b/metadata/EUDeclarationOfConformity__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__29__metadata.json b/metadata/FM1003__29__metadata.json new file mode 100644 index 00000000..c05c59ad --- /dev/null +++ b/metadata/FM1003__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__27__metadata.json b/metadata/FinancialStatements__27__metadata.json new file mode 100644 index 00000000..0e0f3ce5 --- /dev/null +++ b/metadata/FinancialStatements__27__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__29__metadata.json b/metadata/I9__29__metadata.json new file mode 100644 index 00000000..fb411689 --- /dev/null +++ b/metadata/I9__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__31__metadata.json b/metadata/IDCards__31__metadata.json new file mode 100644 index 00000000..5e87aceb --- /dev/null +++ b/metadata/IDCards__31__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__37__metadata.json b/metadata/IndianInvoices__37__metadata.json new file mode 100644 index 00000000..769aca97 --- /dev/null +++ b/metadata/IndianInvoices__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__30__metadata.json b/metadata/InvoicesChina__30__metadata.json new file mode 100644 index 00000000..4f812e88 --- /dev/null +++ b/metadata/InvoicesChina__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesShipping__16__metadata.json b/metadata/InvoicesShipping__16__metadata.json new file mode 100644 index 00000000..971f0331 --- /dev/null +++ b/metadata/InvoicesShipping__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__38__metadata.json b/metadata/Invoices__38__metadata.json new file mode 100644 index 00000000..6049fab8 --- /dev/null +++ b/metadata/Invoices__38__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__35__metadata.json b/metadata/JapaneseInvoices__35__metadata.json new file mode 100644 index 00000000..42595ee7 --- /dev/null +++ b/metadata/JapaneseInvoices__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__27__metadata.json b/metadata/PackingLists__27__metadata.json new file mode 100644 index 00000000..f207cfea --- /dev/null +++ b/metadata/PackingLists__27__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__31__metadata.json b/metadata/Passports__31__metadata.json new file mode 100644 index 00000000..ab8b1b5c --- /dev/null +++ b/metadata/Passports__31__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__16__metadata.json b/metadata/Payslips__16__metadata.json new file mode 100644 index 00000000..a74c71a4 --- /dev/null +++ b/metadata/Payslips__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__37__metadata.json b/metadata/PurchaseOrders__37__metadata.json new file mode 100644 index 00000000..7d456a6b --- /dev/null +++ b/metadata/PurchaseOrders__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__38__metadata.json b/metadata/Receipts__38__metadata.json new file mode 100644 index 00000000..cec59473 --- /dev/null +++ b/metadata/Receipts__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__30__metadata.json b/metadata/RemittanceAdvices__30__metadata.json new file mode 100644 index 00000000..70264fc5 --- /dev/null +++ b/metadata/RemittanceAdvices__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__23__metadata.json b/metadata/UiPathDocumentOCR_CPU__23__metadata.json new file mode 100644 index 00000000..e07c7ac1 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__23__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.10", + "imagePath": "du-doc-ocr-cpu:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__30__metadata.json b/metadata/UiPathDocumentOCR__30__metadata.json new file mode 100644 index 00000000..f31376ee --- /dev/null +++ b/metadata/UiPathDocumentOCR__30__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.10", + "imagePath": "du-doc-ocr:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__37__metadata.json b/metadata/UtilityBills__37__metadata.json new file mode 100644 index 00000000..d359e5f8 --- /dev/null +++ b/metadata/UtilityBills__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__27__metadata.json b/metadata/VehicleTitles__27__metadata.json new file mode 100644 index 00000000..81afd6e2 --- /dev/null +++ b/metadata/VehicleTitles__27__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__30__metadata.json b/metadata/W2__30__metadata.json new file mode 100644 index 00000000..6e9c9bab --- /dev/null +++ b/metadata/W2__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__30__metadata.json b/metadata/W9__30__metadata.json new file mode 100644 index 00000000..92e08c54 --- /dev/null +++ b/metadata/W9__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.10", + "imagePath": "du-semistructured:v23.4-11.15-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index ef147279..f98fefc7 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,13 +9,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$previousCustomVersion = '22.10.13' +$previousCustomVersion = '23.4.9' # Set the new custom version number -$newCustomVersion = '22.10.14' +$newCustomVersion = '23.4.10' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v22.10-09.27-rc04' +$newTag = 'v23.4-11.15-rc01' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 0aaf3b538349c9568406a3bcdbc1f61b2493015a Mon Sep 17 00:00:00 2001 From: andznui <98815714+andznui@users.noreply.github.com> Date: Thu, 21 Nov 2024 12:24:43 +0200 Subject: [PATCH 224/267] =?UTF-8?q?=F0=9F=8D=92=20New=20signature=20compar?= =?UTF-8?q?ison=20&=20LTC=20models(#307,=20#308)=20(#317)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Add new version of LightTextClassification (#308) * Add new version of LightTextClassification * Update metadata/LightTextClassification__5__metadata.json * Apply suggestions from code review * Update metadata/LightTextClassification__5__metadata.json * add new version for Signature comparison (#307) * add new version for Signature comparison * Update metadata/SignatureComparison__2__metadata.json --- .../LightTextClassification__5__metadata.json | 24 +++++++++++++++++++ .../SignatureComparison__2__metadata.json | 24 +++++++++++++++++++ 2 files changed, 48 insertions(+) create mode 100644 metadata/LightTextClassification__5__metadata.json create mode 100644 metadata/SignatureComparison__2__metadata.json diff --git a/metadata/LightTextClassification__5__metadata.json b/metadata/LightTextClassification__5__metadata.json new file mode 100644 index 00000000..32c70e60 --- /dev/null +++ b/metadata/LightTextClassification__5__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "LightTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "inputDescription": "Text that would be classified.", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "LightTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON39", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 4, + "customVersion": "23.10.3", + "contentUri": "https:///publicmodels/AIC/LightTextClassification/23.10.3/bow_text_classifier_package.zip" +} diff --git a/metadata/SignatureComparison__2__metadata.json b/metadata/SignatureComparison__2__metadata.json new file mode 100644 index 00000000..864fd7be --- /dev/null +++ b/metadata/SignatureComparison__2__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "SignatureComparison", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "The UiPath signature comparison model is used to determine the similarity between a pair of signature and suggest if the signatures are from the same author.", + "inputDescription": "A pair of signature images in a list. Files formats accepted are png, and jpeg.", + "outputDescription": "Similarity score (between 0 and 1) and a preliminary determination if the signatures are from the same author or different authors based on a defined threshold in a Json format.", + "changeLog": "", + "cpu": 1, + "inputType": "FILE_LIST", + "displayName": "SignatureComparison", + "memory": 0, + "mlPackageLanguage": "PYTHON38_OPENCV", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Image Analysis", + "projectDescription": "Curated Models from UiPath to analyze images", + "tenantName": "UiPath", + "minAIFabricVersion": "v21.10", + "version": 2, + "customVersion": "22.10.1", + "contentUri": "https:///publicmodels/AIC/SignatureComparison/22.10.1/signature_comparison_package.zip" +} \ No newline at end of file From 41813b692c345c28d0e6e338f944c70be8e357ae Mon Sep 17 00:00:00 2001 From: Vlad-Stefan Stoleru <87021730+vstoleru-uipath@users.noreply.github.com> Date: Thu, 21 Nov 2024 16:19:53 +0200 Subject: [PATCH 225/267] fix(computer-vision): Fix testing versions by renaming to ensure higher number than stable (#343) --- ...__metadata.json => ComputerVision__223041303__metadata.json} | 2 +- ...__metadata.json => ComputerVision__223100515__metadata.json} | 2 +- ...__metadata.json => ComputerVision__224100001__metadata.json} | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) rename metadata/{ComputerVision__123041303__metadata.json => ComputerVision__223041303__metadata.json} (98%) rename metadata/{ComputerVision__123100515__metadata.json => ComputerVision__223100515__metadata.json} (98%) rename metadata/{ComputerVision__124100001__metadata.json => ComputerVision__224100001__metadata.json} (98%) diff --git a/metadata/ComputerVision__123041303__metadata.json b/metadata/ComputerVision__223041303__metadata.json similarity index 98% rename from metadata/ComputerVision__123041303__metadata.json rename to metadata/ComputerVision__223041303__metadata.json index d0d46bac..5cde28e3 100644 --- a/metadata/ComputerVision__123041303__metadata.json +++ b/metadata/ComputerVision__223041303__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 123041303, + "version": 223041303, "customVersion": "23.04.10", "imagePath": "cv2304:23.4.13.3", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" diff --git a/metadata/ComputerVision__123100515__metadata.json b/metadata/ComputerVision__223100515__metadata.json similarity index 98% rename from metadata/ComputerVision__123100515__metadata.json rename to metadata/ComputerVision__223100515__metadata.json index ac268d4a..cd170d57 100644 --- a/metadata/ComputerVision__123100515__metadata.json +++ b/metadata/ComputerVision__223100515__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 123100515, + "version": 223100515, "customVersion": "23.10.7", "imagePath": "cv2310:23.10.5.15", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" diff --git a/metadata/ComputerVision__124100001__metadata.json b/metadata/ComputerVision__224100001__metadata.json similarity index 98% rename from metadata/ComputerVision__124100001__metadata.json rename to metadata/ComputerVision__224100001__metadata.json index 1fe4e6ff..827814e8 100644 --- a/metadata/ComputerVision__124100001__metadata.json +++ b/metadata/ComputerVision__224100001__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 124100001, + "version": 224100001, "customVersion": "23.10.7.1", "imagePath": "cv2410:24.10.0.1", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" From 63f3f9d6d3f861d847f19c99f674b2357607c541 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Tue, 26 Nov 2024 13:07:08 +0200 Subject: [PATCH 226/267] Adding metadatas for 24.10.1 release (#345) --- metadata/1040ScheduleC__7__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__7__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__7__metadata.json | 33 +++++++++++++++++++ metadata/1040__28__metadata.json | 33 +++++++++++++++++++ metadata/1040x__2__metadata.json | 33 +++++++++++++++++++ metadata/3949a__2__metadata.json | 33 +++++++++++++++++++ metadata/4506T__30__metadata.json | 33 +++++++++++++++++++ metadata/709__2__metadata.json | 33 +++++++++++++++++++ metadata/941x__2__metadata.json | 33 +++++++++++++++++++ metadata/9465__2__metadata.json | 33 +++++++++++++++++++ metadata/990__28__metadata.json | 33 ------------------- metadata/Acord125__30__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__28__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__28__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__28__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__28__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__28__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__28__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__17__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__17__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__17__metadata.json | 33 +++++++++++++++++++ metadata/Checks__28__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__17__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__30__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__39__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__17__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__30__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__28__metadata.json | 32 ++++++++++++++++++ metadata/I9__30__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__32__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__38__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__31__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesHebrew__2__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__17__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__39__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__36__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__28__metadata.json | 32 ++++++++++++++++++ metadata/Passports__32__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__17__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__38__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__39__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__31__metadata.json | 33 +++++++++++++++++++ metadata/UB04__7__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__24__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__31__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__38__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__28__metadata.json | 32 ++++++++++++++++++ metadata/W2__31__metadata.json | 33 +++++++++++++++++++ metadata/W9__31__metadata.json | 33 +++++++++++++++++++ 49 files changed, 1556 insertions(+), 33 deletions(-) create mode 100644 metadata/1040ScheduleC__7__metadata.json create mode 100644 metadata/1040ScheduleD__7__metadata.json create mode 100644 metadata/1040ScheduleE__7__metadata.json create mode 100644 metadata/1040__28__metadata.json create mode 100644 metadata/1040x__2__metadata.json create mode 100644 metadata/3949a__2__metadata.json create mode 100644 metadata/4506T__30__metadata.json create mode 100644 metadata/709__2__metadata.json create mode 100644 metadata/941x__2__metadata.json create mode 100644 metadata/9465__2__metadata.json delete mode 100644 metadata/990__28__metadata.json create mode 100644 metadata/Acord125__30__metadata.json create mode 100644 metadata/Acord126__28__metadata.json create mode 100644 metadata/Acord131__28__metadata.json create mode 100644 metadata/Acord140__28__metadata.json create mode 100644 metadata/Acord25__28__metadata.json create mode 100644 metadata/BankStatements__28__metadata.json create mode 100644 metadata/BillsOfLading__28__metadata.json create mode 100644 metadata/CMS1500__17__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__17__metadata.json create mode 100644 metadata/CertificatesOfOrigin__17__metadata.json create mode 100644 metadata/Checks__28__metadata.json create mode 100644 metadata/ChildrenProductCertificates__17__metadata.json create mode 100644 metadata/DocumentClassifier__30__metadata.json create mode 100644 metadata/DocumentUnderstanding__39__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__17__metadata.json create mode 100644 metadata/FM1003__30__metadata.json create mode 100644 metadata/FinancialStatements__28__metadata.json create mode 100644 metadata/I9__30__metadata.json create mode 100644 metadata/IDCards__32__metadata.json create mode 100644 metadata/IndianInvoices__38__metadata.json create mode 100644 metadata/InvoicesChina__31__metadata.json create mode 100644 metadata/InvoicesHebrew__2__metadata.json create mode 100644 metadata/InvoicesShipping__17__metadata.json create mode 100644 metadata/Invoices__39__metadata.json create mode 100644 metadata/JapaneseInvoices__36__metadata.json create mode 100644 metadata/PackingLists__28__metadata.json create mode 100644 metadata/Passports__32__metadata.json create mode 100644 metadata/Payslips__17__metadata.json create mode 100644 metadata/PurchaseOrders__38__metadata.json create mode 100644 metadata/Receipts__39__metadata.json create mode 100644 metadata/RemittanceAdvices__31__metadata.json create mode 100644 metadata/UB04__7__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__24__metadata.json create mode 100644 metadata/UiPathDocumentOCR__31__metadata.json create mode 100644 metadata/UtilityBills__38__metadata.json create mode 100644 metadata/VehicleTitles__28__metadata.json create mode 100644 metadata/W2__31__metadata.json create mode 100644 metadata/W9__31__metadata.json diff --git a/metadata/1040ScheduleC__7__metadata.json b/metadata/1040ScheduleC__7__metadata.json new file mode 100644 index 00000000..886d8fe3 --- /dev/null +++ b/metadata/1040ScheduleC__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__7__metadata.json b/metadata/1040ScheduleD__7__metadata.json new file mode 100644 index 00000000..c0f68658 --- /dev/null +++ b/metadata/1040ScheduleD__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__7__metadata.json b/metadata/1040ScheduleE__7__metadata.json new file mode 100644 index 00000000..e4e29d53 --- /dev/null +++ b/metadata/1040ScheduleE__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__28__metadata.json b/metadata/1040__28__metadata.json new file mode 100644 index 00000000..5302d3c7 --- /dev/null +++ b/metadata/1040__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/1040x__2__metadata.json b/metadata/1040x__2__metadata.json new file mode 100644 index 00000000..a4d4435b --- /dev/null +++ b/metadata/1040x__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040x" + } + ] +} diff --git a/metadata/3949a__2__metadata.json b/metadata/3949a__2__metadata.json new file mode 100644 index 00000000..e657f5d2 --- /dev/null +++ b/metadata/3949a__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_3949a", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/4506T__30__metadata.json b/metadata/4506T__30__metadata.json new file mode 100644 index 00000000..056e6c10 --- /dev/null +++ b/metadata/4506T__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/709__2__metadata.json b/metadata/709__2__metadata.json new file mode 100644 index 00000000..fa3c27c6 --- /dev/null +++ b/metadata/709__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/941x__2__metadata.json b/metadata/941x__2__metadata.json new file mode 100644 index 00000000..f713bfda --- /dev/null +++ b/metadata/941x__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_941x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 941x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "941x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "941x" + } + ] +} diff --git a/metadata/9465__2__metadata.json b/metadata/9465__2__metadata.json new file mode 100644 index 00000000..e8b41cf0 --- /dev/null +++ b/metadata/9465__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/990__28__metadata.json b/metadata/990__28__metadata.json deleted file mode 100644 index cd24eff6..00000000 --- a/metadata/990__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_990", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "990", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "990" - } - ] -} diff --git a/metadata/Acord125__30__metadata.json b/metadata/Acord125__30__metadata.json new file mode 100644 index 00000000..a361e2d8 --- /dev/null +++ b/metadata/Acord125__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__28__metadata.json b/metadata/Acord126__28__metadata.json new file mode 100644 index 00000000..39810e9d --- /dev/null +++ b/metadata/Acord126__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__28__metadata.json b/metadata/Acord131__28__metadata.json new file mode 100644 index 00000000..840b27a1 --- /dev/null +++ b/metadata/Acord131__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__28__metadata.json b/metadata/Acord140__28__metadata.json new file mode 100644 index 00000000..9b9a81ef --- /dev/null +++ b/metadata/Acord140__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__28__metadata.json b/metadata/Acord25__28__metadata.json new file mode 100644 index 00000000..1bac5af7 --- /dev/null +++ b/metadata/Acord25__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__28__metadata.json b/metadata/BankStatements__28__metadata.json new file mode 100644 index 00000000..81525008 --- /dev/null +++ b/metadata/BankStatements__28__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__28__metadata.json b/metadata/BillsOfLading__28__metadata.json new file mode 100644 index 00000000..865d717a --- /dev/null +++ b/metadata/BillsOfLading__28__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__17__metadata.json b/metadata/CMS1500__17__metadata.json new file mode 100644 index 00000000..b49f0aec --- /dev/null +++ b/metadata/CMS1500__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__17__metadata.json b/metadata/CertificatesOfIncorporation__17__metadata.json new file mode 100644 index 00000000..e25552a5 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__17__metadata.json b/metadata/CertificatesOfOrigin__17__metadata.json new file mode 100644 index 00000000..2fc53faa --- /dev/null +++ b/metadata/CertificatesOfOrigin__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__28__metadata.json b/metadata/Checks__28__metadata.json new file mode 100644 index 00000000..1979a304 --- /dev/null +++ b/metadata/Checks__28__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__17__metadata.json b/metadata/ChildrenProductCertificates__17__metadata.json new file mode 100644 index 00000000..365fdf79 --- /dev/null +++ b/metadata/ChildrenProductCertificates__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__30__metadata.json b/metadata/DocumentClassifier__30__metadata.json new file mode 100644 index 00000000..4089d6d6 --- /dev/null +++ b/metadata/DocumentClassifier__30__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "24.10.1", + "imagePath": "du-ml-document-type-text-classifier:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__39__metadata.json b/metadata/DocumentUnderstanding__39__metadata.json new file mode 100644 index 00000000..a7ba2b34 --- /dev/null +++ b/metadata/DocumentUnderstanding__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__17__metadata.json b/metadata/EUDeclarationOfConformity__17__metadata.json new file mode 100644 index 00000000..34d5105b --- /dev/null +++ b/metadata/EUDeclarationOfConformity__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__30__metadata.json b/metadata/FM1003__30__metadata.json new file mode 100644 index 00000000..7ad4b113 --- /dev/null +++ b/metadata/FM1003__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__28__metadata.json b/metadata/FinancialStatements__28__metadata.json new file mode 100644 index 00000000..e42ecb46 --- /dev/null +++ b/metadata/FinancialStatements__28__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__30__metadata.json b/metadata/I9__30__metadata.json new file mode 100644 index 00000000..ca0254b1 --- /dev/null +++ b/metadata/I9__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__32__metadata.json b/metadata/IDCards__32__metadata.json new file mode 100644 index 00000000..d24d9545 --- /dev/null +++ b/metadata/IDCards__32__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__38__metadata.json b/metadata/IndianInvoices__38__metadata.json new file mode 100644 index 00000000..12d540b1 --- /dev/null +++ b/metadata/IndianInvoices__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__31__metadata.json b/metadata/InvoicesChina__31__metadata.json new file mode 100644 index 00000000..720b234f --- /dev/null +++ b/metadata/InvoicesChina__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesHebrew__2__metadata.json b/metadata/InvoicesHebrew__2__metadata.json new file mode 100644 index 00000000..07d048f1 --- /dev/null +++ b/metadata/InvoicesHebrew__2__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 2, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__17__metadata.json b/metadata/InvoicesShipping__17__metadata.json new file mode 100644 index 00000000..63a0f3f8 --- /dev/null +++ b/metadata/InvoicesShipping__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__39__metadata.json b/metadata/Invoices__39__metadata.json new file mode 100644 index 00000000..3a275195 --- /dev/null +++ b/metadata/Invoices__39__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__36__metadata.json b/metadata/JapaneseInvoices__36__metadata.json new file mode 100644 index 00000000..94ddccb9 --- /dev/null +++ b/metadata/JapaneseInvoices__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__28__metadata.json b/metadata/PackingLists__28__metadata.json new file mode 100644 index 00000000..a8600ed5 --- /dev/null +++ b/metadata/PackingLists__28__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__32__metadata.json b/metadata/Passports__32__metadata.json new file mode 100644 index 00000000..c5e9c344 --- /dev/null +++ b/metadata/Passports__32__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__17__metadata.json b/metadata/Payslips__17__metadata.json new file mode 100644 index 00000000..a2313182 --- /dev/null +++ b/metadata/Payslips__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__38__metadata.json b/metadata/PurchaseOrders__38__metadata.json new file mode 100644 index 00000000..b45a3bcf --- /dev/null +++ b/metadata/PurchaseOrders__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__39__metadata.json b/metadata/Receipts__39__metadata.json new file mode 100644 index 00000000..2b0a62fe --- /dev/null +++ b/metadata/Receipts__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__31__metadata.json b/metadata/RemittanceAdvices__31__metadata.json new file mode 100644 index 00000000..bce305da --- /dev/null +++ b/metadata/RemittanceAdvices__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__7__metadata.json b/metadata/UB04__7__metadata.json new file mode 100644 index 00000000..5da503f1 --- /dev/null +++ b/metadata/UB04__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__24__metadata.json b/metadata/UiPathDocumentOCR_CPU__24__metadata.json new file mode 100644 index 00000000..2808a4f7 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__24__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.1", + "imagePath": "du-doc-ocr-cpu:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__31__metadata.json b/metadata/UiPathDocumentOCR__31__metadata.json new file mode 100644 index 00000000..91247b6c --- /dev/null +++ b/metadata/UiPathDocumentOCR__31__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.1", + "imagePath": "du-doc-ocr:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__38__metadata.json b/metadata/UtilityBills__38__metadata.json new file mode 100644 index 00000000..26591e55 --- /dev/null +++ b/metadata/UtilityBills__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__28__metadata.json b/metadata/VehicleTitles__28__metadata.json new file mode 100644 index 00000000..f3dd8100 --- /dev/null +++ b/metadata/VehicleTitles__28__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__31__metadata.json b/metadata/W2__31__metadata.json new file mode 100644 index 00000000..ad524ca6 --- /dev/null +++ b/metadata/W2__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__31__metadata.json b/metadata/W9__31__metadata.json new file mode 100644 index 00000000..458adc2e --- /dev/null +++ b/metadata/W9__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.1", + "imagePath": "du-semistructured:v24.10-11.21-rc12", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From 6a84bedb95d6feb231f8d50f8b734f6e94463c4a Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Thu, 5 Dec 2024 12:56:16 +0200 Subject: [PATCH 227/267] Remove duplicate OCR 24.10.1 metadata (#346) --- metadata/UiPathDocumentOCR__29__metadata.json | 2 +- metadata/UiPathDocumentOCR__31__metadata.json | 26 ------------------- 2 files changed, 1 insertion(+), 27 deletions(-) delete mode 100644 metadata/UiPathDocumentOCR__31__metadata.json diff --git a/metadata/UiPathDocumentOCR__29__metadata.json b/metadata/UiPathDocumentOCR__29__metadata.json index e4fd35c1..22be9a81 100644 --- a/metadata/UiPathDocumentOCR__29__metadata.json +++ b/metadata/UiPathDocumentOCR__29__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.1", - "imagePath": "du-doc-ocr:v24.10-11.15-rc05", + "imagePath": "du-doc-ocr:v24.10-11.21-rc12", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__31__metadata.json b/metadata/UiPathDocumentOCR__31__metadata.json deleted file mode 100644 index 91247b6c..00000000 --- a/metadata/UiPathDocumentOCR__31__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "24.10.1", - "imagePath": "du-doc-ocr:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} From 04791835733eb685405af3600b63950143143794 Mon Sep 17 00:00:00 2001 From: andznui <98815714+andznui@users.noreply.github.com> Date: Fri, 13 Dec 2024 13:47:30 +0200 Subject: [PATCH 228/267] remove IFE (#349) --- ...IntelligentFormExtractor__1__metadata.json | 24 ------------------- ...IntelligentFormExtractor__2__metadata.json | 24 ------------------- 2 files changed, 48 deletions(-) delete mode 100644 metadata/IntelligentFormExtractor__1__metadata.json delete mode 100644 metadata/IntelligentFormExtractor__2__metadata.json diff --git a/metadata/IntelligentFormExtractor__1__metadata.json b/metadata/IntelligentFormExtractor__1__metadata.json deleted file mode 100644 index 9ceadde2..00000000 --- a/metadata/IntelligentFormExtractor__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "v21-7-18", - "cpu": 0, - "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "IntelligentFormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IntelligentFormExtractor", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 1, - "contentUri": "https:///publicmodels/AIC/IntelligentFormExtractor/1/IFE-du-svc-v21-7-18-main-4a0e8c.zip" -} diff --git a/metadata/IntelligentFormExtractor__2__metadata.json b/metadata/IntelligentFormExtractor__2__metadata.json deleted file mode 100644 index ee4bc02c..00000000 --- a/metadata/IntelligentFormExtractor__2__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "v21-7-18", - "cpu": 0, - "description": "[DEPRECATED] This Package provides the Endpoint required by the Intelligent Form Extractor activity. Please see more details in the Form Extractor activity documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor. For instructions about the steps required to correctly configure and deploy this Package, see the Out-of-the-box Packages documentation for AI Center here: https://docs.uipath.com/ai-fabric/docs/uipath-document-understanding", - "displayName": "IntelligentFormExtractor", - "gpu": 0, - "inputDescription": "ML Skills deployed using this package are queried directly by Intelligent Form Extractor Activity. For document types, languages supported and other information about the Intelligent Form Extractor product please refer to the documentation here: https://docs.uipath.com/activities/docs/intelligent-form-extractor.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IntelligentFormExtractor", - "outputDescription": "Please refer to the documentation of the Intelligent Form Extractor Activity.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 2, - "contentUri": "https:///publicmodels/AIC/IntelligentFormExtractor/2/IFE-du-svc-v21-7-18-main-4a0e8c.zip" -} From a98bb1cf0915522d20ce11406e8cbf2eac791000 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Tue, 21 Jan 2025 12:41:04 +0200 Subject: [PATCH 229/267] Add metadatas for 24.10.2 (#352) --- metadata/1040ScheduleC__8__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__8__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__8__metadata.json | 33 +++++++++++++++++++ metadata/1040__29__metadata.json | 33 +++++++++++++++++++ metadata/1040x__3__metadata.json | 33 +++++++++++++++++++ metadata/3949a__3__metadata.json | 33 +++++++++++++++++++ metadata/4506T__31__metadata.json | 33 +++++++++++++++++++ metadata/709__3__metadata.json | 33 +++++++++++++++++++ metadata/941x__3__metadata.json | 33 +++++++++++++++++++ metadata/9465__3__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__31__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__29__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__29__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__29__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__29__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__29__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__29__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__18__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__18__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__18__metadata.json | 33 +++++++++++++++++++ metadata/Checks__29__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__18__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__31__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__40__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__18__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__31__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__29__metadata.json | 32 ++++++++++++++++++ metadata/I9__31__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__33__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__39__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__32__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesHebrew__3__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__18__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__40__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__37__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__29__metadata.json | 32 ++++++++++++++++++ metadata/Passports__33__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__18__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__39__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__40__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__32__metadata.json | 33 +++++++++++++++++++ metadata/UB04__8__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__25__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__31__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__39__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__29__metadata.json | 32 ++++++++++++++++++ metadata/W2__32__metadata.json | 33 +++++++++++++++++++ metadata/W9__32__metadata.json | 33 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 6 ++-- 49 files changed, 1559 insertions(+), 3 deletions(-) create mode 100644 metadata/1040ScheduleC__8__metadata.json create mode 100644 metadata/1040ScheduleD__8__metadata.json create mode 100644 metadata/1040ScheduleE__8__metadata.json create mode 100644 metadata/1040__29__metadata.json create mode 100644 metadata/1040x__3__metadata.json create mode 100644 metadata/3949a__3__metadata.json create mode 100644 metadata/4506T__31__metadata.json create mode 100644 metadata/709__3__metadata.json create mode 100644 metadata/941x__3__metadata.json create mode 100644 metadata/9465__3__metadata.json create mode 100644 metadata/Acord125__31__metadata.json create mode 100644 metadata/Acord126__29__metadata.json create mode 100644 metadata/Acord131__29__metadata.json create mode 100644 metadata/Acord140__29__metadata.json create mode 100644 metadata/Acord25__29__metadata.json create mode 100644 metadata/BankStatements__29__metadata.json create mode 100644 metadata/BillsOfLading__29__metadata.json create mode 100644 metadata/CMS1500__18__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__18__metadata.json create mode 100644 metadata/CertificatesOfOrigin__18__metadata.json create mode 100644 metadata/Checks__29__metadata.json create mode 100644 metadata/ChildrenProductCertificates__18__metadata.json create mode 100644 metadata/DocumentClassifier__31__metadata.json create mode 100644 metadata/DocumentUnderstanding__40__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__18__metadata.json create mode 100644 metadata/FM1003__31__metadata.json create mode 100644 metadata/FinancialStatements__29__metadata.json create mode 100644 metadata/I9__31__metadata.json create mode 100644 metadata/IDCards__33__metadata.json create mode 100644 metadata/IndianInvoices__39__metadata.json create mode 100644 metadata/InvoicesChina__32__metadata.json create mode 100644 metadata/InvoicesHebrew__3__metadata.json create mode 100644 metadata/InvoicesShipping__18__metadata.json create mode 100644 metadata/Invoices__40__metadata.json create mode 100644 metadata/JapaneseInvoices__37__metadata.json create mode 100644 metadata/PackingLists__29__metadata.json create mode 100644 metadata/Passports__33__metadata.json create mode 100644 metadata/Payslips__18__metadata.json create mode 100644 metadata/PurchaseOrders__39__metadata.json create mode 100644 metadata/Receipts__40__metadata.json create mode 100644 metadata/RemittanceAdvices__32__metadata.json create mode 100644 metadata/UB04__8__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__25__metadata.json create mode 100644 metadata/UiPathDocumentOCR__31__metadata.json create mode 100644 metadata/UtilityBills__39__metadata.json create mode 100644 metadata/VehicleTitles__29__metadata.json create mode 100644 metadata/W2__32__metadata.json create mode 100644 metadata/W9__32__metadata.json diff --git a/metadata/1040ScheduleC__8__metadata.json b/metadata/1040ScheduleC__8__metadata.json new file mode 100644 index 00000000..641bb174 --- /dev/null +++ b/metadata/1040ScheduleC__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__8__metadata.json b/metadata/1040ScheduleD__8__metadata.json new file mode 100644 index 00000000..15029393 --- /dev/null +++ b/metadata/1040ScheduleD__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__8__metadata.json b/metadata/1040ScheduleE__8__metadata.json new file mode 100644 index 00000000..466fd476 --- /dev/null +++ b/metadata/1040ScheduleE__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__29__metadata.json b/metadata/1040__29__metadata.json new file mode 100644 index 00000000..de2f9a2c --- /dev/null +++ b/metadata/1040__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/1040x__3__metadata.json b/metadata/1040x__3__metadata.json new file mode 100644 index 00000000..c1aa2650 --- /dev/null +++ b/metadata/1040x__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040x" + } + ] +} diff --git a/metadata/3949a__3__metadata.json b/metadata/3949a__3__metadata.json new file mode 100644 index 00000000..363fdb33 --- /dev/null +++ b/metadata/3949a__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_3949a", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/4506T__31__metadata.json b/metadata/4506T__31__metadata.json new file mode 100644 index 00000000..9c31cc3f --- /dev/null +++ b/metadata/4506T__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/709__3__metadata.json b/metadata/709__3__metadata.json new file mode 100644 index 00000000..d3c91c48 --- /dev/null +++ b/metadata/709__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/941x__3__metadata.json b/metadata/941x__3__metadata.json new file mode 100644 index 00000000..d39017d7 --- /dev/null +++ b/metadata/941x__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_941x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 941x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "941x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "941x" + } + ] +} diff --git a/metadata/9465__3__metadata.json b/metadata/9465__3__metadata.json new file mode 100644 index 00000000..11bb8c08 --- /dev/null +++ b/metadata/9465__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/Acord125__31__metadata.json b/metadata/Acord125__31__metadata.json new file mode 100644 index 00000000..eb0f8118 --- /dev/null +++ b/metadata/Acord125__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__29__metadata.json b/metadata/Acord126__29__metadata.json new file mode 100644 index 00000000..e596c24f --- /dev/null +++ b/metadata/Acord126__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__29__metadata.json b/metadata/Acord131__29__metadata.json new file mode 100644 index 00000000..6dc1c791 --- /dev/null +++ b/metadata/Acord131__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__29__metadata.json b/metadata/Acord140__29__metadata.json new file mode 100644 index 00000000..d511fb87 --- /dev/null +++ b/metadata/Acord140__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__29__metadata.json b/metadata/Acord25__29__metadata.json new file mode 100644 index 00000000..85039ee8 --- /dev/null +++ b/metadata/Acord25__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__29__metadata.json b/metadata/BankStatements__29__metadata.json new file mode 100644 index 00000000..607a8a02 --- /dev/null +++ b/metadata/BankStatements__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__29__metadata.json b/metadata/BillsOfLading__29__metadata.json new file mode 100644 index 00000000..700f77e6 --- /dev/null +++ b/metadata/BillsOfLading__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__18__metadata.json b/metadata/CMS1500__18__metadata.json new file mode 100644 index 00000000..8cbbf1bb --- /dev/null +++ b/metadata/CMS1500__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__18__metadata.json b/metadata/CertificatesOfIncorporation__18__metadata.json new file mode 100644 index 00000000..4042aa5c --- /dev/null +++ b/metadata/CertificatesOfIncorporation__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__18__metadata.json b/metadata/CertificatesOfOrigin__18__metadata.json new file mode 100644 index 00000000..9d364167 --- /dev/null +++ b/metadata/CertificatesOfOrigin__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__29__metadata.json b/metadata/Checks__29__metadata.json new file mode 100644 index 00000000..8e42886b --- /dev/null +++ b/metadata/Checks__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__18__metadata.json b/metadata/ChildrenProductCertificates__18__metadata.json new file mode 100644 index 00000000..8298a02f --- /dev/null +++ b/metadata/ChildrenProductCertificates__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__31__metadata.json b/metadata/DocumentClassifier__31__metadata.json new file mode 100644 index 00000000..6d2b4215 --- /dev/null +++ b/metadata/DocumentClassifier__31__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.2", + "imagePath": "du-ml-document-type-text-classifier:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__40__metadata.json b/metadata/DocumentUnderstanding__40__metadata.json new file mode 100644 index 00000000..7577643c --- /dev/null +++ b/metadata/DocumentUnderstanding__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__18__metadata.json b/metadata/EUDeclarationOfConformity__18__metadata.json new file mode 100644 index 00000000..000b414b --- /dev/null +++ b/metadata/EUDeclarationOfConformity__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__31__metadata.json b/metadata/FM1003__31__metadata.json new file mode 100644 index 00000000..dfcc3c23 --- /dev/null +++ b/metadata/FM1003__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__29__metadata.json b/metadata/FinancialStatements__29__metadata.json new file mode 100644 index 00000000..30af2195 --- /dev/null +++ b/metadata/FinancialStatements__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__31__metadata.json b/metadata/I9__31__metadata.json new file mode 100644 index 00000000..92623520 --- /dev/null +++ b/metadata/I9__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__33__metadata.json b/metadata/IDCards__33__metadata.json new file mode 100644 index 00000000..5d22fd15 --- /dev/null +++ b/metadata/IDCards__33__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__39__metadata.json b/metadata/IndianInvoices__39__metadata.json new file mode 100644 index 00000000..108cbbef --- /dev/null +++ b/metadata/IndianInvoices__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__32__metadata.json b/metadata/InvoicesChina__32__metadata.json new file mode 100644 index 00000000..2388b5cb --- /dev/null +++ b/metadata/InvoicesChina__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesHebrew__3__metadata.json b/metadata/InvoicesHebrew__3__metadata.json new file mode 100644 index 00000000..631b0b1d --- /dev/null +++ b/metadata/InvoicesHebrew__3__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 3, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__18__metadata.json b/metadata/InvoicesShipping__18__metadata.json new file mode 100644 index 00000000..4347a91f --- /dev/null +++ b/metadata/InvoicesShipping__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__40__metadata.json b/metadata/Invoices__40__metadata.json new file mode 100644 index 00000000..a3040508 --- /dev/null +++ b/metadata/Invoices__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__37__metadata.json b/metadata/JapaneseInvoices__37__metadata.json new file mode 100644 index 00000000..9e0cc15c --- /dev/null +++ b/metadata/JapaneseInvoices__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__29__metadata.json b/metadata/PackingLists__29__metadata.json new file mode 100644 index 00000000..6cbb37b7 --- /dev/null +++ b/metadata/PackingLists__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__33__metadata.json b/metadata/Passports__33__metadata.json new file mode 100644 index 00000000..d7d1552e --- /dev/null +++ b/metadata/Passports__33__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__18__metadata.json b/metadata/Payslips__18__metadata.json new file mode 100644 index 00000000..708e3df5 --- /dev/null +++ b/metadata/Payslips__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__39__metadata.json b/metadata/PurchaseOrders__39__metadata.json new file mode 100644 index 00000000..9cbe8802 --- /dev/null +++ b/metadata/PurchaseOrders__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__40__metadata.json b/metadata/Receipts__40__metadata.json new file mode 100644 index 00000000..7b905f93 --- /dev/null +++ b/metadata/Receipts__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__32__metadata.json b/metadata/RemittanceAdvices__32__metadata.json new file mode 100644 index 00000000..8941ee01 --- /dev/null +++ b/metadata/RemittanceAdvices__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__8__metadata.json b/metadata/UB04__8__metadata.json new file mode 100644 index 00000000..e9d51e81 --- /dev/null +++ b/metadata/UB04__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__25__metadata.json b/metadata/UiPathDocumentOCR_CPU__25__metadata.json new file mode 100644 index 00000000..2f49e913 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__25__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "24.10.2", + "imagePath": "du-doc-ocr-cpu:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__31__metadata.json b/metadata/UiPathDocumentOCR__31__metadata.json new file mode 100644 index 00000000..7eea2a25 --- /dev/null +++ b/metadata/UiPathDocumentOCR__31__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.2", + "imagePath": "du-doc-ocr:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__39__metadata.json b/metadata/UtilityBills__39__metadata.json new file mode 100644 index 00000000..7288275b --- /dev/null +++ b/metadata/UtilityBills__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__29__metadata.json b/metadata/VehicleTitles__29__metadata.json new file mode 100644 index 00000000..483fb286 --- /dev/null +++ b/metadata/VehicleTitles__29__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__32__metadata.json b/metadata/W2__32__metadata.json new file mode 100644 index 00000000..0ecbee5e --- /dev/null +++ b/metadata/W2__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__32__metadata.json b/metadata/W9__32__metadata.json new file mode 100644 index 00000000..5da31e87 --- /dev/null +++ b/metadata/W9__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.2", + "imagePath": "du-semistructured:v24.10-1.10-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index f98fefc7..8e17eea8 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,13 +9,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$previousCustomVersion = '23.4.9' +$previousCustomVersion = '24.10.1' # Set the new custom version number -$newCustomVersion = '23.4.10' +$newCustomVersion = '24.10.2' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v23.4-11.15-rc01' +$newTag = 'v24.10-1.10-rc04' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 750cc93df08e005757c493805c1bc3f2fafdc96a Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Tue, 28 Jan 2025 12:28:33 +0200 Subject: [PATCH 230/267] Update du models images for 24.10.2 (#355) --- metadata/1040ScheduleC__8__metadata.json | 2 +- metadata/1040ScheduleD__8__metadata.json | 2 +- metadata/1040ScheduleE__8__metadata.json | 2 +- metadata/1040__29__metadata.json | 2 +- metadata/1040x__3__metadata.json | 2 +- metadata/3949a__3__metadata.json | 2 +- metadata/4506T__31__metadata.json | 2 +- metadata/709__3__metadata.json | 2 +- metadata/941x__3__metadata.json | 2 +- metadata/9465__3__metadata.json | 2 +- metadata/Acord125__31__metadata.json | 2 +- metadata/Acord126__29__metadata.json | 2 +- metadata/Acord131__29__metadata.json | 2 +- metadata/Acord140__29__metadata.json | 2 +- metadata/Acord25__29__metadata.json | 2 +- metadata/BankStatements__29__metadata.json | 2 +- metadata/BillsOfLading__29__metadata.json | 2 +- metadata/CMS1500__18__metadata.json | 2 +- metadata/CertificatesOfIncorporation__18__metadata.json | 2 +- metadata/CertificatesOfOrigin__18__metadata.json | 2 +- metadata/Checks__29__metadata.json | 2 +- metadata/ChildrenProductCertificates__18__metadata.json | 2 +- metadata/DocumentClassifier__31__metadata.json | 2 +- metadata/DocumentUnderstanding__40__metadata.json | 2 +- metadata/EUDeclarationOfConformity__18__metadata.json | 2 +- metadata/FM1003__31__metadata.json | 2 +- metadata/FinancialStatements__29__metadata.json | 2 +- metadata/I9__31__metadata.json | 2 +- metadata/IDCards__33__metadata.json | 2 +- metadata/IndianInvoices__39__metadata.json | 2 +- metadata/InvoicesChina__32__metadata.json | 2 +- metadata/InvoicesHebrew__3__metadata.json | 2 +- metadata/InvoicesShipping__18__metadata.json | 2 +- metadata/Invoices__40__metadata.json | 2 +- metadata/JapaneseInvoices__37__metadata.json | 2 +- metadata/PackingLists__29__metadata.json | 2 +- metadata/Passports__33__metadata.json | 2 +- metadata/Payslips__18__metadata.json | 2 +- metadata/PurchaseOrders__39__metadata.json | 2 +- metadata/Receipts__40__metadata.json | 2 +- metadata/RemittanceAdvices__32__metadata.json | 2 +- metadata/UB04__8__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__25__metadata.json | 2 +- metadata/UiPathDocumentOCR__31__metadata.json | 2 +- metadata/UtilityBills__39__metadata.json | 2 +- metadata/VehicleTitles__29__metadata.json | 2 +- metadata/W2__32__metadata.json | 2 +- metadata/W9__32__metadata.json | 2 +- 48 files changed, 48 insertions(+), 48 deletions(-) diff --git a/metadata/1040ScheduleC__8__metadata.json b/metadata/1040ScheduleC__8__metadata.json index 641bb174..e3157105 100644 --- a/metadata/1040ScheduleC__8__metadata.json +++ b/metadata/1040ScheduleC__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__8__metadata.json b/metadata/1040ScheduleD__8__metadata.json index 15029393..2ff86a27 100644 --- a/metadata/1040ScheduleD__8__metadata.json +++ b/metadata/1040ScheduleD__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__8__metadata.json b/metadata/1040ScheduleE__8__metadata.json index 466fd476..f8599259 100644 --- a/metadata/1040ScheduleE__8__metadata.json +++ b/metadata/1040ScheduleE__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__29__metadata.json b/metadata/1040__29__metadata.json index de2f9a2c..b1123839 100644 --- a/metadata/1040__29__metadata.json +++ b/metadata/1040__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__3__metadata.json b/metadata/1040x__3__metadata.json index c1aa2650..e4a210db 100644 --- a/metadata/1040x__3__metadata.json +++ b/metadata/1040x__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__3__metadata.json b/metadata/3949a__3__metadata.json index 363fdb33..8750d975 100644 --- a/metadata/3949a__3__metadata.json +++ b/metadata/3949a__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__31__metadata.json b/metadata/4506T__31__metadata.json index 9c31cc3f..78b798b6 100644 --- a/metadata/4506T__31__metadata.json +++ b/metadata/4506T__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__3__metadata.json b/metadata/709__3__metadata.json index d3c91c48..e3127f78 100644 --- a/metadata/709__3__metadata.json +++ b/metadata/709__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__3__metadata.json b/metadata/941x__3__metadata.json index d39017d7..ac920ec0 100644 --- a/metadata/941x__3__metadata.json +++ b/metadata/941x__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__3__metadata.json b/metadata/9465__3__metadata.json index 11bb8c08..c8cf22bb 100644 --- a/metadata/9465__3__metadata.json +++ b/metadata/9465__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__31__metadata.json b/metadata/Acord125__31__metadata.json index eb0f8118..24b0b645 100644 --- a/metadata/Acord125__31__metadata.json +++ b/metadata/Acord125__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__29__metadata.json b/metadata/Acord126__29__metadata.json index e596c24f..c2844c12 100644 --- a/metadata/Acord126__29__metadata.json +++ b/metadata/Acord126__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__29__metadata.json b/metadata/Acord131__29__metadata.json index 6dc1c791..02ec59ae 100644 --- a/metadata/Acord131__29__metadata.json +++ b/metadata/Acord131__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__29__metadata.json b/metadata/Acord140__29__metadata.json index d511fb87..68b006de 100644 --- a/metadata/Acord140__29__metadata.json +++ b/metadata/Acord140__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__29__metadata.json b/metadata/Acord25__29__metadata.json index 85039ee8..288eff90 100644 --- a/metadata/Acord25__29__metadata.json +++ b/metadata/Acord25__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__29__metadata.json b/metadata/BankStatements__29__metadata.json index 607a8a02..c668582d 100644 --- a/metadata/BankStatements__29__metadata.json +++ b/metadata/BankStatements__29__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__29__metadata.json b/metadata/BillsOfLading__29__metadata.json index 700f77e6..204877a0 100644 --- a/metadata/BillsOfLading__29__metadata.json +++ b/metadata/BillsOfLading__29__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__18__metadata.json b/metadata/CMS1500__18__metadata.json index 8cbbf1bb..e454fde1 100644 --- a/metadata/CMS1500__18__metadata.json +++ b/metadata/CMS1500__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__18__metadata.json b/metadata/CertificatesOfIncorporation__18__metadata.json index 4042aa5c..bb34201a 100644 --- a/metadata/CertificatesOfIncorporation__18__metadata.json +++ b/metadata/CertificatesOfIncorporation__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__18__metadata.json b/metadata/CertificatesOfOrigin__18__metadata.json index 9d364167..d4d37ea4 100644 --- a/metadata/CertificatesOfOrigin__18__metadata.json +++ b/metadata/CertificatesOfOrigin__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__29__metadata.json b/metadata/Checks__29__metadata.json index 8e42886b..57b50055 100644 --- a/metadata/Checks__29__metadata.json +++ b/metadata/Checks__29__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__18__metadata.json b/metadata/ChildrenProductCertificates__18__metadata.json index 8298a02f..787c8d32 100644 --- a/metadata/ChildrenProductCertificates__18__metadata.json +++ b/metadata/ChildrenProductCertificates__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__31__metadata.json b/metadata/DocumentClassifier__31__metadata.json index 6d2b4215..bd510d4c 100644 --- a/metadata/DocumentClassifier__31__metadata.json +++ b/metadata/DocumentClassifier__31__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 31, "customVersion": "24.10.2", - "imagePath": "du-ml-document-type-text-classifier:v24.10-1.10-rc04", + "imagePath": "du-ml-document-type-text-classifier:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__40__metadata.json b/metadata/DocumentUnderstanding__40__metadata.json index 7577643c..1801ba73 100644 --- a/metadata/DocumentUnderstanding__40__metadata.json +++ b/metadata/DocumentUnderstanding__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__18__metadata.json b/metadata/EUDeclarationOfConformity__18__metadata.json index 000b414b..35fd4a72 100644 --- a/metadata/EUDeclarationOfConformity__18__metadata.json +++ b/metadata/EUDeclarationOfConformity__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__31__metadata.json b/metadata/FM1003__31__metadata.json index dfcc3c23..c1256f1f 100644 --- a/metadata/FM1003__31__metadata.json +++ b/metadata/FM1003__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__29__metadata.json b/metadata/FinancialStatements__29__metadata.json index 30af2195..4b4f859c 100644 --- a/metadata/FinancialStatements__29__metadata.json +++ b/metadata/FinancialStatements__29__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__31__metadata.json b/metadata/I9__31__metadata.json index 92623520..9cd08a9d 100644 --- a/metadata/I9__31__metadata.json +++ b/metadata/I9__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__33__metadata.json b/metadata/IDCards__33__metadata.json index 5d22fd15..53d663ed 100644 --- a/metadata/IDCards__33__metadata.json +++ b/metadata/IDCards__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__39__metadata.json b/metadata/IndianInvoices__39__metadata.json index 108cbbef..7bd07902 100644 --- a/metadata/IndianInvoices__39__metadata.json +++ b/metadata/IndianInvoices__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__32__metadata.json b/metadata/InvoicesChina__32__metadata.json index 2388b5cb..8f42f306 100644 --- a/metadata/InvoicesChina__32__metadata.json +++ b/metadata/InvoicesChina__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__3__metadata.json b/metadata/InvoicesHebrew__3__metadata.json index 631b0b1d..a02e666e 100644 --- a/metadata/InvoicesHebrew__3__metadata.json +++ b/metadata/InvoicesHebrew__3__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 3, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__18__metadata.json b/metadata/InvoicesShipping__18__metadata.json index 4347a91f..d0807a2e 100644 --- a/metadata/InvoicesShipping__18__metadata.json +++ b/metadata/InvoicesShipping__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__40__metadata.json b/metadata/Invoices__40__metadata.json index a3040508..db2e7a6c 100644 --- a/metadata/Invoices__40__metadata.json +++ b/metadata/Invoices__40__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__37__metadata.json b/metadata/JapaneseInvoices__37__metadata.json index 9e0cc15c..9465f20c 100644 --- a/metadata/JapaneseInvoices__37__metadata.json +++ b/metadata/JapaneseInvoices__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__29__metadata.json b/metadata/PackingLists__29__metadata.json index 6cbb37b7..f73d4a51 100644 --- a/metadata/PackingLists__29__metadata.json +++ b/metadata/PackingLists__29__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__33__metadata.json b/metadata/Passports__33__metadata.json index d7d1552e..19075fd2 100644 --- a/metadata/Passports__33__metadata.json +++ b/metadata/Passports__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__18__metadata.json b/metadata/Payslips__18__metadata.json index 708e3df5..ab86ec99 100644 --- a/metadata/Payslips__18__metadata.json +++ b/metadata/Payslips__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__39__metadata.json b/metadata/PurchaseOrders__39__metadata.json index 9cbe8802..64e48b7d 100644 --- a/metadata/PurchaseOrders__39__metadata.json +++ b/metadata/PurchaseOrders__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__40__metadata.json b/metadata/Receipts__40__metadata.json index 7b905f93..c39f62c9 100644 --- a/metadata/Receipts__40__metadata.json +++ b/metadata/Receipts__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__32__metadata.json b/metadata/RemittanceAdvices__32__metadata.json index 8941ee01..8c4a6de8 100644 --- a/metadata/RemittanceAdvices__32__metadata.json +++ b/metadata/RemittanceAdvices__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__8__metadata.json b/metadata/UB04__8__metadata.json index e9d51e81..26a4eb30 100644 --- a/metadata/UB04__8__metadata.json +++ b/metadata/UB04__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__25__metadata.json b/metadata/UiPathDocumentOCR_CPU__25__metadata.json index 2f49e913..0de10286 100644 --- a/metadata/UiPathDocumentOCR_CPU__25__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__25__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 25, "customVersion": "24.10.2", - "imagePath": "du-doc-ocr-cpu:v24.10-1.10-rc04", + "imagePath": "du-doc-ocr-cpu:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__31__metadata.json b/metadata/UiPathDocumentOCR__31__metadata.json index 7eea2a25..57799a9a 100644 --- a/metadata/UiPathDocumentOCR__31__metadata.json +++ b/metadata/UiPathDocumentOCR__31__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 31, "customVersion": "24.10.2", - "imagePath": "du-doc-ocr:v24.10-1.10-rc04", + "imagePath": "du-doc-ocr:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__39__metadata.json b/metadata/UtilityBills__39__metadata.json index 7288275b..183a5290 100644 --- a/metadata/UtilityBills__39__metadata.json +++ b/metadata/UtilityBills__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__29__metadata.json b/metadata/VehicleTitles__29__metadata.json index 483fb286..6170fc30 100644 --- a/metadata/VehicleTitles__29__metadata.json +++ b/metadata/VehicleTitles__29__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__32__metadata.json b/metadata/W2__32__metadata.json index 0ecbee5e..66bc88a3 100644 --- a/metadata/W2__32__metadata.json +++ b/metadata/W2__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__32__metadata.json b/metadata/W9__32__metadata.json index 5da31e87..e7122ce7 100644 --- a/metadata/W9__32__metadata.json +++ b/metadata/W9__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.2", - "imagePath": "du-semistructured:v24.10-1.10-rc04", + "imagePath": "du-semistructured:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 9f928f191547816f08d7cd13908b40ded59482df Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Tue, 28 Jan 2025 15:01:41 +0200 Subject: [PATCH 231/267] Metadatas for 23.4.11 release (#356) --- metadata/1040__30__metadata.json | 33 +++++++++++++++++++ metadata/4506T__32__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__32__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__30__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__30__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__30__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__30__metadata.json | 33 +++++++++++++++++++ .../AustralianInvoices__32__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__30__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__30__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__19__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__19__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__19__metadata.json | 33 +++++++++++++++++++ metadata/Checks__30__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__19__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__32__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__41__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__19__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__32__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__30__metadata.json | 32 ++++++++++++++++++ metadata/I9__32__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__34__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__40__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__33__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__19__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__41__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__38__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__30__metadata.json | 32 ++++++++++++++++++ metadata/Passports__34__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__19__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__40__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__41__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__33__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__26__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__32__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__40__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__30__metadata.json | 32 ++++++++++++++++++ metadata/W2__33__metadata.json | 33 +++++++++++++++++++ metadata/W9__33__metadata.json | 33 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 6 ++-- 40 files changed, 1262 insertions(+), 3 deletions(-) create mode 100644 metadata/1040__30__metadata.json create mode 100644 metadata/4506T__32__metadata.json create mode 100644 metadata/Acord125__32__metadata.json create mode 100644 metadata/Acord126__30__metadata.json create mode 100644 metadata/Acord131__30__metadata.json create mode 100644 metadata/Acord140__30__metadata.json create mode 100644 metadata/Acord25__30__metadata.json create mode 100644 metadata/AustralianInvoices__32__metadata.json create mode 100644 metadata/BankStatements__30__metadata.json create mode 100644 metadata/BillsOfLading__30__metadata.json create mode 100644 metadata/CMS1500__19__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__19__metadata.json create mode 100644 metadata/CertificatesOfOrigin__19__metadata.json create mode 100644 metadata/Checks__30__metadata.json create mode 100644 metadata/ChildrenProductCertificates__19__metadata.json create mode 100644 metadata/DocumentClassifier__32__metadata.json create mode 100644 metadata/DocumentUnderstanding__41__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__19__metadata.json create mode 100644 metadata/FM1003__32__metadata.json create mode 100644 metadata/FinancialStatements__30__metadata.json create mode 100644 metadata/I9__32__metadata.json create mode 100644 metadata/IDCards__34__metadata.json create mode 100644 metadata/IndianInvoices__40__metadata.json create mode 100644 metadata/InvoicesChina__33__metadata.json create mode 100644 metadata/InvoicesShipping__19__metadata.json create mode 100644 metadata/Invoices__41__metadata.json create mode 100644 metadata/JapaneseInvoices__38__metadata.json create mode 100644 metadata/PackingLists__30__metadata.json create mode 100644 metadata/Passports__34__metadata.json create mode 100644 metadata/Payslips__19__metadata.json create mode 100644 metadata/PurchaseOrders__40__metadata.json create mode 100644 metadata/Receipts__41__metadata.json create mode 100644 metadata/RemittanceAdvices__33__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__26__metadata.json create mode 100644 metadata/UiPathDocumentOCR__32__metadata.json create mode 100644 metadata/UtilityBills__40__metadata.json create mode 100644 metadata/VehicleTitles__30__metadata.json create mode 100644 metadata/W2__33__metadata.json create mode 100644 metadata/W9__33__metadata.json diff --git a/metadata/1040__30__metadata.json b/metadata/1040__30__metadata.json new file mode 100644 index 00000000..1832c8b4 --- /dev/null +++ b/metadata/1040__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__32__metadata.json b/metadata/4506T__32__metadata.json new file mode 100644 index 00000000..2fd5366f --- /dev/null +++ b/metadata/4506T__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/Acord125__32__metadata.json b/metadata/Acord125__32__metadata.json new file mode 100644 index 00000000..c5b1f160 --- /dev/null +++ b/metadata/Acord125__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__30__metadata.json b/metadata/Acord126__30__metadata.json new file mode 100644 index 00000000..7691c5b4 --- /dev/null +++ b/metadata/Acord126__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__30__metadata.json b/metadata/Acord131__30__metadata.json new file mode 100644 index 00000000..19224eb0 --- /dev/null +++ b/metadata/Acord131__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__30__metadata.json b/metadata/Acord140__30__metadata.json new file mode 100644 index 00000000..c7c7131c --- /dev/null +++ b/metadata/Acord140__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__30__metadata.json b/metadata/Acord25__30__metadata.json new file mode 100644 index 00000000..253f7fac --- /dev/null +++ b/metadata/Acord25__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/AustralianInvoices__32__metadata.json b/metadata/AustralianInvoices__32__metadata.json new file mode 100644 index 00000000..d92a440c --- /dev/null +++ b/metadata/AustralianInvoices__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ] +} diff --git a/metadata/BankStatements__30__metadata.json b/metadata/BankStatements__30__metadata.json new file mode 100644 index 00000000..c08f62d1 --- /dev/null +++ b/metadata/BankStatements__30__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__30__metadata.json b/metadata/BillsOfLading__30__metadata.json new file mode 100644 index 00000000..bbeabff8 --- /dev/null +++ b/metadata/BillsOfLading__30__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__19__metadata.json b/metadata/CMS1500__19__metadata.json new file mode 100644 index 00000000..66620ae9 --- /dev/null +++ b/metadata/CMS1500__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__19__metadata.json b/metadata/CertificatesOfIncorporation__19__metadata.json new file mode 100644 index 00000000..9cb4e800 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__19__metadata.json b/metadata/CertificatesOfOrigin__19__metadata.json new file mode 100644 index 00000000..a26b36ff --- /dev/null +++ b/metadata/CertificatesOfOrigin__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__30__metadata.json b/metadata/Checks__30__metadata.json new file mode 100644 index 00000000..5a1d8bb9 --- /dev/null +++ b/metadata/Checks__30__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__19__metadata.json b/metadata/ChildrenProductCertificates__19__metadata.json new file mode 100644 index 00000000..6deb147f --- /dev/null +++ b/metadata/ChildrenProductCertificates__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__32__metadata.json b/metadata/DocumentClassifier__32__metadata.json new file mode 100644 index 00000000..2b9258ca --- /dev/null +++ b/metadata/DocumentClassifier__32__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.11", + "imagePath": "du-ml-document-type-text-classifier:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__41__metadata.json b/metadata/DocumentUnderstanding__41__metadata.json new file mode 100644 index 00000000..537035ef --- /dev/null +++ b/metadata/DocumentUnderstanding__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__19__metadata.json b/metadata/EUDeclarationOfConformity__19__metadata.json new file mode 100644 index 00000000..d4451e4b --- /dev/null +++ b/metadata/EUDeclarationOfConformity__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__32__metadata.json b/metadata/FM1003__32__metadata.json new file mode 100644 index 00000000..8f979866 --- /dev/null +++ b/metadata/FM1003__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__30__metadata.json b/metadata/FinancialStatements__30__metadata.json new file mode 100644 index 00000000..37f622b9 --- /dev/null +++ b/metadata/FinancialStatements__30__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__32__metadata.json b/metadata/I9__32__metadata.json new file mode 100644 index 00000000..d486476e --- /dev/null +++ b/metadata/I9__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__34__metadata.json b/metadata/IDCards__34__metadata.json new file mode 100644 index 00000000..ebea567e --- /dev/null +++ b/metadata/IDCards__34__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__40__metadata.json b/metadata/IndianInvoices__40__metadata.json new file mode 100644 index 00000000..a94d8358 --- /dev/null +++ b/metadata/IndianInvoices__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__33__metadata.json b/metadata/InvoicesChina__33__metadata.json new file mode 100644 index 00000000..33430f75 --- /dev/null +++ b/metadata/InvoicesChina__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesShipping__19__metadata.json b/metadata/InvoicesShipping__19__metadata.json new file mode 100644 index 00000000..71b38115 --- /dev/null +++ b/metadata/InvoicesShipping__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__41__metadata.json b/metadata/Invoices__41__metadata.json new file mode 100644 index 00000000..051931da --- /dev/null +++ b/metadata/Invoices__41__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__38__metadata.json b/metadata/JapaneseInvoices__38__metadata.json new file mode 100644 index 00000000..dc2d4b7c --- /dev/null +++ b/metadata/JapaneseInvoices__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__30__metadata.json b/metadata/PackingLists__30__metadata.json new file mode 100644 index 00000000..a4d4c771 --- /dev/null +++ b/metadata/PackingLists__30__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__34__metadata.json b/metadata/Passports__34__metadata.json new file mode 100644 index 00000000..875e42ff --- /dev/null +++ b/metadata/Passports__34__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__19__metadata.json b/metadata/Payslips__19__metadata.json new file mode 100644 index 00000000..f9c7af88 --- /dev/null +++ b/metadata/Payslips__19__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__40__metadata.json b/metadata/PurchaseOrders__40__metadata.json new file mode 100644 index 00000000..d9f170dc --- /dev/null +++ b/metadata/PurchaseOrders__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__41__metadata.json b/metadata/Receipts__41__metadata.json new file mode 100644 index 00000000..8280a7c4 --- /dev/null +++ b/metadata/Receipts__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__33__metadata.json b/metadata/RemittanceAdvices__33__metadata.json new file mode 100644 index 00000000..69f8e9c0 --- /dev/null +++ b/metadata/RemittanceAdvices__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__26__metadata.json b/metadata/UiPathDocumentOCR_CPU__26__metadata.json new file mode 100644 index 00000000..34193571 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__26__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "23.4.11", + "imagePath": "du-doc-ocr-cpu:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__32__metadata.json b/metadata/UiPathDocumentOCR__32__metadata.json new file mode 100644 index 00000000..10cdb437 --- /dev/null +++ b/metadata/UiPathDocumentOCR__32__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.4.11", + "imagePath": "du-doc-ocr:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__40__metadata.json b/metadata/UtilityBills__40__metadata.json new file mode 100644 index 00000000..fa5b475f --- /dev/null +++ b/metadata/UtilityBills__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__30__metadata.json b/metadata/VehicleTitles__30__metadata.json new file mode 100644 index 00000000..7daf3a2d --- /dev/null +++ b/metadata/VehicleTitles__30__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__33__metadata.json b/metadata/W2__33__metadata.json new file mode 100644 index 00000000..87397f16 --- /dev/null +++ b/metadata/W2__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__33__metadata.json b/metadata/W9__33__metadata.json new file mode 100644 index 00000000..d6d39049 --- /dev/null +++ b/metadata/W9__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.4.11", + "imagePath": "du-semistructured:v23.4-01.27-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 8e17eea8..65f2fdf5 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,13 +9,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$previousCustomVersion = '24.10.1' +$previousCustomVersion = '23.4.10' # Set the new custom version number -$newCustomVersion = '24.10.2' +$newCustomVersion = '23.4.11' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v24.10-1.10-rc04' +$newTag = 'v23.4-01.27-rc01' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 422114b7aff66816db82c43ecdd01d3a8566cf74 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Wed, 29 Jan 2025 10:34:52 +0200 Subject: [PATCH 232/267] Metadatas for 23.10.8 models (#357) --- metadata/1040ScheduleC__9__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__9__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__9__metadata.json | 33 +++++++++++++++++++ metadata/1040__31__metadata.json | 33 +++++++++++++++++++ metadata/4506T__33__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__33__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__31__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__31__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__31__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__31__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__31__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__31__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__20__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__20__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__20__metadata.json | 33 +++++++++++++++++++ metadata/Checks__31__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__20__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__33__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__42__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__20__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__33__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__31__metadata.json | 32 ++++++++++++++++++ metadata/I9__33__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__35__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__41__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__34__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__20__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__42__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__39__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__31__metadata.json | 32 ++++++++++++++++++ metadata/Passports__35__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__20__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__41__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__42__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__34__metadata.json | 33 +++++++++++++++++++ metadata/UB04__9__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__27__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__33__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__41__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__31__metadata.json | 32 ++++++++++++++++++ metadata/W2__34__metadata.json | 33 +++++++++++++++++++ metadata/W9__34__metadata.json | 33 +++++++++++++++++++ 42 files changed, 1358 insertions(+) create mode 100644 metadata/1040ScheduleC__9__metadata.json create mode 100644 metadata/1040ScheduleD__9__metadata.json create mode 100644 metadata/1040ScheduleE__9__metadata.json create mode 100644 metadata/1040__31__metadata.json create mode 100644 metadata/4506T__33__metadata.json create mode 100644 metadata/Acord125__33__metadata.json create mode 100644 metadata/Acord126__31__metadata.json create mode 100644 metadata/Acord131__31__metadata.json create mode 100644 metadata/Acord140__31__metadata.json create mode 100644 metadata/Acord25__31__metadata.json create mode 100644 metadata/BankStatements__31__metadata.json create mode 100644 metadata/BillsOfLading__31__metadata.json create mode 100644 metadata/CMS1500__20__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__20__metadata.json create mode 100644 metadata/CertificatesOfOrigin__20__metadata.json create mode 100644 metadata/Checks__31__metadata.json create mode 100644 metadata/ChildrenProductCertificates__20__metadata.json create mode 100644 metadata/DocumentClassifier__33__metadata.json create mode 100644 metadata/DocumentUnderstanding__42__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__20__metadata.json create mode 100644 metadata/FM1003__33__metadata.json create mode 100644 metadata/FinancialStatements__31__metadata.json create mode 100644 metadata/I9__33__metadata.json create mode 100644 metadata/IDCards__35__metadata.json create mode 100644 metadata/IndianInvoices__41__metadata.json create mode 100644 metadata/InvoicesChina__34__metadata.json create mode 100644 metadata/InvoicesShipping__20__metadata.json create mode 100644 metadata/Invoices__42__metadata.json create mode 100644 metadata/JapaneseInvoices__39__metadata.json create mode 100644 metadata/PackingLists__31__metadata.json create mode 100644 metadata/Passports__35__metadata.json create mode 100644 metadata/Payslips__20__metadata.json create mode 100644 metadata/PurchaseOrders__41__metadata.json create mode 100644 metadata/Receipts__42__metadata.json create mode 100644 metadata/RemittanceAdvices__34__metadata.json create mode 100644 metadata/UB04__9__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__27__metadata.json create mode 100644 metadata/UiPathDocumentOCR__33__metadata.json create mode 100644 metadata/UtilityBills__41__metadata.json create mode 100644 metadata/VehicleTitles__31__metadata.json create mode 100644 metadata/W2__34__metadata.json create mode 100644 metadata/W9__34__metadata.json diff --git a/metadata/1040ScheduleC__9__metadata.json b/metadata/1040ScheduleC__9__metadata.json new file mode 100644 index 00000000..e87db9b3 --- /dev/null +++ b/metadata/1040ScheduleC__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__9__metadata.json b/metadata/1040ScheduleD__9__metadata.json new file mode 100644 index 00000000..3cc48af7 --- /dev/null +++ b/metadata/1040ScheduleD__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__9__metadata.json b/metadata/1040ScheduleE__9__metadata.json new file mode 100644 index 00000000..380251b3 --- /dev/null +++ b/metadata/1040ScheduleE__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__31__metadata.json b/metadata/1040__31__metadata.json new file mode 100644 index 00000000..63db202c --- /dev/null +++ b/metadata/1040__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/4506T__33__metadata.json b/metadata/4506T__33__metadata.json new file mode 100644 index 00000000..ea314c00 --- /dev/null +++ b/metadata/4506T__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/Acord125__33__metadata.json b/metadata/Acord125__33__metadata.json new file mode 100644 index 00000000..09ac6c40 --- /dev/null +++ b/metadata/Acord125__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__31__metadata.json b/metadata/Acord126__31__metadata.json new file mode 100644 index 00000000..d7362a1b --- /dev/null +++ b/metadata/Acord126__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__31__metadata.json b/metadata/Acord131__31__metadata.json new file mode 100644 index 00000000..1ed69279 --- /dev/null +++ b/metadata/Acord131__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__31__metadata.json b/metadata/Acord140__31__metadata.json new file mode 100644 index 00000000..28cc554c --- /dev/null +++ b/metadata/Acord140__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__31__metadata.json b/metadata/Acord25__31__metadata.json new file mode 100644 index 00000000..36d001be --- /dev/null +++ b/metadata/Acord25__31__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__31__metadata.json b/metadata/BankStatements__31__metadata.json new file mode 100644 index 00000000..f47c4d98 --- /dev/null +++ b/metadata/BankStatements__31__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__31__metadata.json b/metadata/BillsOfLading__31__metadata.json new file mode 100644 index 00000000..66ccfebe --- /dev/null +++ b/metadata/BillsOfLading__31__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__20__metadata.json b/metadata/CMS1500__20__metadata.json new file mode 100644 index 00000000..23c5e726 --- /dev/null +++ b/metadata/CMS1500__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__20__metadata.json b/metadata/CertificatesOfIncorporation__20__metadata.json new file mode 100644 index 00000000..7652dd84 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__20__metadata.json b/metadata/CertificatesOfOrigin__20__metadata.json new file mode 100644 index 00000000..22fbe3d8 --- /dev/null +++ b/metadata/CertificatesOfOrigin__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__31__metadata.json b/metadata/Checks__31__metadata.json new file mode 100644 index 00000000..043e0503 --- /dev/null +++ b/metadata/Checks__31__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__20__metadata.json b/metadata/ChildrenProductCertificates__20__metadata.json new file mode 100644 index 00000000..a8fbc7ee --- /dev/null +++ b/metadata/ChildrenProductCertificates__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__33__metadata.json b/metadata/DocumentClassifier__33__metadata.json new file mode 100644 index 00000000..b85f4c15 --- /dev/null +++ b/metadata/DocumentClassifier__33__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.8", + "imagePath": "du-ml-document-type-text-classifier:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__42__metadata.json b/metadata/DocumentUnderstanding__42__metadata.json new file mode 100644 index 00000000..c8aea2d9 --- /dev/null +++ b/metadata/DocumentUnderstanding__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__20__metadata.json b/metadata/EUDeclarationOfConformity__20__metadata.json new file mode 100644 index 00000000..83faa28f --- /dev/null +++ b/metadata/EUDeclarationOfConformity__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__33__metadata.json b/metadata/FM1003__33__metadata.json new file mode 100644 index 00000000..f9ae1e59 --- /dev/null +++ b/metadata/FM1003__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__31__metadata.json b/metadata/FinancialStatements__31__metadata.json new file mode 100644 index 00000000..f8f2bd0f --- /dev/null +++ b/metadata/FinancialStatements__31__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__33__metadata.json b/metadata/I9__33__metadata.json new file mode 100644 index 00000000..9abf2e22 --- /dev/null +++ b/metadata/I9__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__35__metadata.json b/metadata/IDCards__35__metadata.json new file mode 100644 index 00000000..4717662b --- /dev/null +++ b/metadata/IDCards__35__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__41__metadata.json b/metadata/IndianInvoices__41__metadata.json new file mode 100644 index 00000000..51443a59 --- /dev/null +++ b/metadata/IndianInvoices__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__34__metadata.json b/metadata/InvoicesChina__34__metadata.json new file mode 100644 index 00000000..280f6294 --- /dev/null +++ b/metadata/InvoicesChina__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesShipping__20__metadata.json b/metadata/InvoicesShipping__20__metadata.json new file mode 100644 index 00000000..cbc3914f --- /dev/null +++ b/metadata/InvoicesShipping__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__42__metadata.json b/metadata/Invoices__42__metadata.json new file mode 100644 index 00000000..cf81fe4c --- /dev/null +++ b/metadata/Invoices__42__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__39__metadata.json b/metadata/JapaneseInvoices__39__metadata.json new file mode 100644 index 00000000..66d8a1ea --- /dev/null +++ b/metadata/JapaneseInvoices__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__31__metadata.json b/metadata/PackingLists__31__metadata.json new file mode 100644 index 00000000..4543a5be --- /dev/null +++ b/metadata/PackingLists__31__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__35__metadata.json b/metadata/Passports__35__metadata.json new file mode 100644 index 00000000..d39fb2fb --- /dev/null +++ b/metadata/Passports__35__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__20__metadata.json b/metadata/Payslips__20__metadata.json new file mode 100644 index 00000000..ab03b10b --- /dev/null +++ b/metadata/Payslips__20__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 20, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__41__metadata.json b/metadata/PurchaseOrders__41__metadata.json new file mode 100644 index 00000000..f66a2741 --- /dev/null +++ b/metadata/PurchaseOrders__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__42__metadata.json b/metadata/Receipts__42__metadata.json new file mode 100644 index 00000000..b97e20d3 --- /dev/null +++ b/metadata/Receipts__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__34__metadata.json b/metadata/RemittanceAdvices__34__metadata.json new file mode 100644 index 00000000..dc96fb40 --- /dev/null +++ b/metadata/RemittanceAdvices__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__9__metadata.json b/metadata/UB04__9__metadata.json new file mode 100644 index 00000000..2ba4c4ea --- /dev/null +++ b/metadata/UB04__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__27__metadata.json b/metadata/UiPathDocumentOCR_CPU__27__metadata.json new file mode 100644 index 00000000..d2f71393 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__27__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.8", + "imagePath": "du-doc-ocr-cpu:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__33__metadata.json b/metadata/UiPathDocumentOCR__33__metadata.json new file mode 100644 index 00000000..6b84928a --- /dev/null +++ b/metadata/UiPathDocumentOCR__33__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.8", + "imagePath": "du-doc-ocr:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__41__metadata.json b/metadata/UtilityBills__41__metadata.json new file mode 100644 index 00000000..0a936f73 --- /dev/null +++ b/metadata/UtilityBills__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__31__metadata.json b/metadata/VehicleTitles__31__metadata.json new file mode 100644 index 00000000..24d57c45 --- /dev/null +++ b/metadata/VehicleTitles__31__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__34__metadata.json b/metadata/W2__34__metadata.json new file mode 100644 index 00000000..9cb14a51 --- /dev/null +++ b/metadata/W2__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__34__metadata.json b/metadata/W9__34__metadata.json new file mode 100644 index 00000000..731e0a94 --- /dev/null +++ b/metadata/W9__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.10.8", + "imagePath": "du-semistructured:v23.10-01.28-rc07", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From 2ec006e9729ce58e95189951d8e700d069a3afdd Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Fri, 31 Jan 2025 14:48:00 +0200 Subject: [PATCH 233/267] Update du-semistructured to v23.10-01.29-rc09 in 23.10.8 (#358) --- metadata/1040ScheduleC__9__metadata.json | 2 +- metadata/1040ScheduleD__9__metadata.json | 2 +- metadata/1040ScheduleE__9__metadata.json | 2 +- metadata/1040__31__metadata.json | 2 +- metadata/4506T__33__metadata.json | 2 +- metadata/Acord125__33__metadata.json | 2 +- metadata/Acord126__31__metadata.json | 2 +- metadata/Acord131__31__metadata.json | 2 +- metadata/Acord140__31__metadata.json | 2 +- metadata/Acord25__31__metadata.json | 2 +- metadata/BankStatements__31__metadata.json | 2 +- metadata/BillsOfLading__31__metadata.json | 2 +- metadata/CMS1500__20__metadata.json | 2 +- metadata/CertificatesOfIncorporation__20__metadata.json | 2 +- metadata/CertificatesOfOrigin__20__metadata.json | 2 +- metadata/Checks__31__metadata.json | 2 +- metadata/ChildrenProductCertificates__20__metadata.json | 2 +- metadata/DocumentUnderstanding__42__metadata.json | 2 +- metadata/EUDeclarationOfConformity__20__metadata.json | 2 +- metadata/FM1003__33__metadata.json | 2 +- metadata/FinancialStatements__31__metadata.json | 2 +- metadata/I9__33__metadata.json | 2 +- metadata/IDCards__35__metadata.json | 2 +- metadata/IndianInvoices__41__metadata.json | 2 +- metadata/InvoicesChina__34__metadata.json | 2 +- metadata/InvoicesShipping__20__metadata.json | 2 +- metadata/Invoices__42__metadata.json | 2 +- metadata/JapaneseInvoices__39__metadata.json | 2 +- metadata/PackingLists__31__metadata.json | 2 +- metadata/Passports__35__metadata.json | 2 +- metadata/Payslips__20__metadata.json | 2 +- metadata/PurchaseOrders__41__metadata.json | 2 +- metadata/Receipts__42__metadata.json | 2 +- metadata/RemittanceAdvices__34__metadata.json | 2 +- metadata/UB04__9__metadata.json | 2 +- metadata/UtilityBills__41__metadata.json | 2 +- metadata/VehicleTitles__31__metadata.json | 2 +- metadata/W2__34__metadata.json | 2 +- metadata/W9__34__metadata.json | 2 +- 39 files changed, 39 insertions(+), 39 deletions(-) diff --git a/metadata/1040ScheduleC__9__metadata.json b/metadata/1040ScheduleC__9__metadata.json index e87db9b3..da37f65e 100644 --- a/metadata/1040ScheduleC__9__metadata.json +++ b/metadata/1040ScheduleC__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__9__metadata.json b/metadata/1040ScheduleD__9__metadata.json index 3cc48af7..dab1fe91 100644 --- a/metadata/1040ScheduleD__9__metadata.json +++ b/metadata/1040ScheduleD__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__9__metadata.json b/metadata/1040ScheduleE__9__metadata.json index 380251b3..9559a60f 100644 --- a/metadata/1040ScheduleE__9__metadata.json +++ b/metadata/1040ScheduleE__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__31__metadata.json b/metadata/1040__31__metadata.json index 63db202c..4418983a 100644 --- a/metadata/1040__31__metadata.json +++ b/metadata/1040__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__33__metadata.json b/metadata/4506T__33__metadata.json index ea314c00..c0312fe5 100644 --- a/metadata/4506T__33__metadata.json +++ b/metadata/4506T__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__33__metadata.json b/metadata/Acord125__33__metadata.json index 09ac6c40..d2a4b101 100644 --- a/metadata/Acord125__33__metadata.json +++ b/metadata/Acord125__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__31__metadata.json b/metadata/Acord126__31__metadata.json index d7362a1b..d32b9305 100644 --- a/metadata/Acord126__31__metadata.json +++ b/metadata/Acord126__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__31__metadata.json b/metadata/Acord131__31__metadata.json index 1ed69279..eba4911a 100644 --- a/metadata/Acord131__31__metadata.json +++ b/metadata/Acord131__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__31__metadata.json b/metadata/Acord140__31__metadata.json index 28cc554c..c77e5a4f 100644 --- a/metadata/Acord140__31__metadata.json +++ b/metadata/Acord140__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__31__metadata.json b/metadata/Acord25__31__metadata.json index 36d001be..c019eb1b 100644 --- a/metadata/Acord25__31__metadata.json +++ b/metadata/Acord25__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__31__metadata.json b/metadata/BankStatements__31__metadata.json index f47c4d98..4049e029 100644 --- a/metadata/BankStatements__31__metadata.json +++ b/metadata/BankStatements__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__31__metadata.json b/metadata/BillsOfLading__31__metadata.json index 66ccfebe..f742cac5 100644 --- a/metadata/BillsOfLading__31__metadata.json +++ b/metadata/BillsOfLading__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__20__metadata.json b/metadata/CMS1500__20__metadata.json index 23c5e726..6d022455 100644 --- a/metadata/CMS1500__20__metadata.json +++ b/metadata/CMS1500__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__20__metadata.json b/metadata/CertificatesOfIncorporation__20__metadata.json index 7652dd84..095a808d 100644 --- a/metadata/CertificatesOfIncorporation__20__metadata.json +++ b/metadata/CertificatesOfIncorporation__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__20__metadata.json b/metadata/CertificatesOfOrigin__20__metadata.json index 22fbe3d8..57b1cbc6 100644 --- a/metadata/CertificatesOfOrigin__20__metadata.json +++ b/metadata/CertificatesOfOrigin__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__31__metadata.json b/metadata/Checks__31__metadata.json index 043e0503..2d3347e6 100644 --- a/metadata/Checks__31__metadata.json +++ b/metadata/Checks__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__20__metadata.json b/metadata/ChildrenProductCertificates__20__metadata.json index a8fbc7ee..6c66909c 100644 --- a/metadata/ChildrenProductCertificates__20__metadata.json +++ b/metadata/ChildrenProductCertificates__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__42__metadata.json b/metadata/DocumentUnderstanding__42__metadata.json index c8aea2d9..6922b5c2 100644 --- a/metadata/DocumentUnderstanding__42__metadata.json +++ b/metadata/DocumentUnderstanding__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__20__metadata.json b/metadata/EUDeclarationOfConformity__20__metadata.json index 83faa28f..4cb08a36 100644 --- a/metadata/EUDeclarationOfConformity__20__metadata.json +++ b/metadata/EUDeclarationOfConformity__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__33__metadata.json b/metadata/FM1003__33__metadata.json index f9ae1e59..91c0687f 100644 --- a/metadata/FM1003__33__metadata.json +++ b/metadata/FM1003__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__31__metadata.json b/metadata/FinancialStatements__31__metadata.json index f8f2bd0f..ac6d7294 100644 --- a/metadata/FinancialStatements__31__metadata.json +++ b/metadata/FinancialStatements__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__33__metadata.json b/metadata/I9__33__metadata.json index 9abf2e22..dc85ed17 100644 --- a/metadata/I9__33__metadata.json +++ b/metadata/I9__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__35__metadata.json b/metadata/IDCards__35__metadata.json index 4717662b..97e93457 100644 --- a/metadata/IDCards__35__metadata.json +++ b/metadata/IDCards__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__41__metadata.json b/metadata/IndianInvoices__41__metadata.json index 51443a59..e0166332 100644 --- a/metadata/IndianInvoices__41__metadata.json +++ b/metadata/IndianInvoices__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__34__metadata.json b/metadata/InvoicesChina__34__metadata.json index 280f6294..2c85f7b6 100644 --- a/metadata/InvoicesChina__34__metadata.json +++ b/metadata/InvoicesChina__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__20__metadata.json b/metadata/InvoicesShipping__20__metadata.json index cbc3914f..42428071 100644 --- a/metadata/InvoicesShipping__20__metadata.json +++ b/metadata/InvoicesShipping__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__42__metadata.json b/metadata/Invoices__42__metadata.json index cf81fe4c..06b8e7dd 100644 --- a/metadata/Invoices__42__metadata.json +++ b/metadata/Invoices__42__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__39__metadata.json b/metadata/JapaneseInvoices__39__metadata.json index 66d8a1ea..f12b8ed1 100644 --- a/metadata/JapaneseInvoices__39__metadata.json +++ b/metadata/JapaneseInvoices__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__31__metadata.json b/metadata/PackingLists__31__metadata.json index 4543a5be..db5a9660 100644 --- a/metadata/PackingLists__31__metadata.json +++ b/metadata/PackingLists__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__35__metadata.json b/metadata/Passports__35__metadata.json index d39fb2fb..0cca82e5 100644 --- a/metadata/Passports__35__metadata.json +++ b/metadata/Passports__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__20__metadata.json b/metadata/Payslips__20__metadata.json index ab03b10b..3d5dfbf5 100644 --- a/metadata/Payslips__20__metadata.json +++ b/metadata/Payslips__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__41__metadata.json b/metadata/PurchaseOrders__41__metadata.json index f66a2741..e5e84f9b 100644 --- a/metadata/PurchaseOrders__41__metadata.json +++ b/metadata/PurchaseOrders__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__42__metadata.json b/metadata/Receipts__42__metadata.json index b97e20d3..5caaea43 100644 --- a/metadata/Receipts__42__metadata.json +++ b/metadata/Receipts__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__34__metadata.json b/metadata/RemittanceAdvices__34__metadata.json index dc96fb40..57fcd5d7 100644 --- a/metadata/RemittanceAdvices__34__metadata.json +++ b/metadata/RemittanceAdvices__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__9__metadata.json b/metadata/UB04__9__metadata.json index 2ba4c4ea..d4ce5adf 100644 --- a/metadata/UB04__9__metadata.json +++ b/metadata/UB04__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__41__metadata.json b/metadata/UtilityBills__41__metadata.json index 0a936f73..2296a809 100644 --- a/metadata/UtilityBills__41__metadata.json +++ b/metadata/UtilityBills__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__31__metadata.json b/metadata/VehicleTitles__31__metadata.json index 24d57c45..48fd48f4 100644 --- a/metadata/VehicleTitles__31__metadata.json +++ b/metadata/VehicleTitles__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__34__metadata.json b/metadata/W2__34__metadata.json index 9cb14a51..dc3b007d 100644 --- a/metadata/W2__34__metadata.json +++ b/metadata/W2__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__34__metadata.json b/metadata/W9__34__metadata.json index 731e0a94..9ddd23ca 100644 --- a/metadata/W9__34__metadata.json +++ b/metadata/W9__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.28-rc07", + "imagePath": "du-semistructured:v23.10-01.29-rc09", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 33e07c26ae6013b35b2f87a5e67df1e0c13e7247 Mon Sep 17 00:00:00 2001 From: andznui <98815714+andznui@users.noreply.github.com> Date: Mon, 3 Feb 2025 09:42:52 +0200 Subject: [PATCH 234/267] Revert "Update du-semistructured to v23.10-01.29-rc09 in 23.10.8 (#358)" (#360) This reverts commit 2ec006e9729ce58e95189951d8e700d069a3afdd. --- metadata/1040ScheduleC__9__metadata.json | 2 +- metadata/1040ScheduleD__9__metadata.json | 2 +- metadata/1040ScheduleE__9__metadata.json | 2 +- metadata/1040__31__metadata.json | 2 +- metadata/4506T__33__metadata.json | 2 +- metadata/Acord125__33__metadata.json | 2 +- metadata/Acord126__31__metadata.json | 2 +- metadata/Acord131__31__metadata.json | 2 +- metadata/Acord140__31__metadata.json | 2 +- metadata/Acord25__31__metadata.json | 2 +- metadata/BankStatements__31__metadata.json | 2 +- metadata/BillsOfLading__31__metadata.json | 2 +- metadata/CMS1500__20__metadata.json | 2 +- metadata/CertificatesOfIncorporation__20__metadata.json | 2 +- metadata/CertificatesOfOrigin__20__metadata.json | 2 +- metadata/Checks__31__metadata.json | 2 +- metadata/ChildrenProductCertificates__20__metadata.json | 2 +- metadata/DocumentUnderstanding__42__metadata.json | 2 +- metadata/EUDeclarationOfConformity__20__metadata.json | 2 +- metadata/FM1003__33__metadata.json | 2 +- metadata/FinancialStatements__31__metadata.json | 2 +- metadata/I9__33__metadata.json | 2 +- metadata/IDCards__35__metadata.json | 2 +- metadata/IndianInvoices__41__metadata.json | 2 +- metadata/InvoicesChina__34__metadata.json | 2 +- metadata/InvoicesShipping__20__metadata.json | 2 +- metadata/Invoices__42__metadata.json | 2 +- metadata/JapaneseInvoices__39__metadata.json | 2 +- metadata/PackingLists__31__metadata.json | 2 +- metadata/Passports__35__metadata.json | 2 +- metadata/Payslips__20__metadata.json | 2 +- metadata/PurchaseOrders__41__metadata.json | 2 +- metadata/Receipts__42__metadata.json | 2 +- metadata/RemittanceAdvices__34__metadata.json | 2 +- metadata/UB04__9__metadata.json | 2 +- metadata/UtilityBills__41__metadata.json | 2 +- metadata/VehicleTitles__31__metadata.json | 2 +- metadata/W2__34__metadata.json | 2 +- metadata/W9__34__metadata.json | 2 +- 39 files changed, 39 insertions(+), 39 deletions(-) diff --git a/metadata/1040ScheduleC__9__metadata.json b/metadata/1040ScheduleC__9__metadata.json index da37f65e..e87db9b3 100644 --- a/metadata/1040ScheduleC__9__metadata.json +++ b/metadata/1040ScheduleC__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__9__metadata.json b/metadata/1040ScheduleD__9__metadata.json index dab1fe91..3cc48af7 100644 --- a/metadata/1040ScheduleD__9__metadata.json +++ b/metadata/1040ScheduleD__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__9__metadata.json b/metadata/1040ScheduleE__9__metadata.json index 9559a60f..380251b3 100644 --- a/metadata/1040ScheduleE__9__metadata.json +++ b/metadata/1040ScheduleE__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__31__metadata.json b/metadata/1040__31__metadata.json index 4418983a..63db202c 100644 --- a/metadata/1040__31__metadata.json +++ b/metadata/1040__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__33__metadata.json b/metadata/4506T__33__metadata.json index c0312fe5..ea314c00 100644 --- a/metadata/4506T__33__metadata.json +++ b/metadata/4506T__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__33__metadata.json b/metadata/Acord125__33__metadata.json index d2a4b101..09ac6c40 100644 --- a/metadata/Acord125__33__metadata.json +++ b/metadata/Acord125__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__31__metadata.json b/metadata/Acord126__31__metadata.json index d32b9305..d7362a1b 100644 --- a/metadata/Acord126__31__metadata.json +++ b/metadata/Acord126__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__31__metadata.json b/metadata/Acord131__31__metadata.json index eba4911a..1ed69279 100644 --- a/metadata/Acord131__31__metadata.json +++ b/metadata/Acord131__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__31__metadata.json b/metadata/Acord140__31__metadata.json index c77e5a4f..28cc554c 100644 --- a/metadata/Acord140__31__metadata.json +++ b/metadata/Acord140__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__31__metadata.json b/metadata/Acord25__31__metadata.json index c019eb1b..36d001be 100644 --- a/metadata/Acord25__31__metadata.json +++ b/metadata/Acord25__31__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__31__metadata.json b/metadata/BankStatements__31__metadata.json index 4049e029..f47c4d98 100644 --- a/metadata/BankStatements__31__metadata.json +++ b/metadata/BankStatements__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__31__metadata.json b/metadata/BillsOfLading__31__metadata.json index f742cac5..66ccfebe 100644 --- a/metadata/BillsOfLading__31__metadata.json +++ b/metadata/BillsOfLading__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__20__metadata.json b/metadata/CMS1500__20__metadata.json index 6d022455..23c5e726 100644 --- a/metadata/CMS1500__20__metadata.json +++ b/metadata/CMS1500__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__20__metadata.json b/metadata/CertificatesOfIncorporation__20__metadata.json index 095a808d..7652dd84 100644 --- a/metadata/CertificatesOfIncorporation__20__metadata.json +++ b/metadata/CertificatesOfIncorporation__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__20__metadata.json b/metadata/CertificatesOfOrigin__20__metadata.json index 57b1cbc6..22fbe3d8 100644 --- a/metadata/CertificatesOfOrigin__20__metadata.json +++ b/metadata/CertificatesOfOrigin__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__31__metadata.json b/metadata/Checks__31__metadata.json index 2d3347e6..043e0503 100644 --- a/metadata/Checks__31__metadata.json +++ b/metadata/Checks__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__20__metadata.json b/metadata/ChildrenProductCertificates__20__metadata.json index 6c66909c..a8fbc7ee 100644 --- a/metadata/ChildrenProductCertificates__20__metadata.json +++ b/metadata/ChildrenProductCertificates__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__42__metadata.json b/metadata/DocumentUnderstanding__42__metadata.json index 6922b5c2..c8aea2d9 100644 --- a/metadata/DocumentUnderstanding__42__metadata.json +++ b/metadata/DocumentUnderstanding__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__20__metadata.json b/metadata/EUDeclarationOfConformity__20__metadata.json index 4cb08a36..83faa28f 100644 --- a/metadata/EUDeclarationOfConformity__20__metadata.json +++ b/metadata/EUDeclarationOfConformity__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__33__metadata.json b/metadata/FM1003__33__metadata.json index 91c0687f..f9ae1e59 100644 --- a/metadata/FM1003__33__metadata.json +++ b/metadata/FM1003__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__31__metadata.json b/metadata/FinancialStatements__31__metadata.json index ac6d7294..f8f2bd0f 100644 --- a/metadata/FinancialStatements__31__metadata.json +++ b/metadata/FinancialStatements__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__33__metadata.json b/metadata/I9__33__metadata.json index dc85ed17..9abf2e22 100644 --- a/metadata/I9__33__metadata.json +++ b/metadata/I9__33__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 33, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__35__metadata.json b/metadata/IDCards__35__metadata.json index 97e93457..4717662b 100644 --- a/metadata/IDCards__35__metadata.json +++ b/metadata/IDCards__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__41__metadata.json b/metadata/IndianInvoices__41__metadata.json index e0166332..51443a59 100644 --- a/metadata/IndianInvoices__41__metadata.json +++ b/metadata/IndianInvoices__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__34__metadata.json b/metadata/InvoicesChina__34__metadata.json index 2c85f7b6..280f6294 100644 --- a/metadata/InvoicesChina__34__metadata.json +++ b/metadata/InvoicesChina__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__20__metadata.json b/metadata/InvoicesShipping__20__metadata.json index 42428071..cbc3914f 100644 --- a/metadata/InvoicesShipping__20__metadata.json +++ b/metadata/InvoicesShipping__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__42__metadata.json b/metadata/Invoices__42__metadata.json index 06b8e7dd..cf81fe4c 100644 --- a/metadata/Invoices__42__metadata.json +++ b/metadata/Invoices__42__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__39__metadata.json b/metadata/JapaneseInvoices__39__metadata.json index f12b8ed1..66d8a1ea 100644 --- a/metadata/JapaneseInvoices__39__metadata.json +++ b/metadata/JapaneseInvoices__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__31__metadata.json b/metadata/PackingLists__31__metadata.json index db5a9660..4543a5be 100644 --- a/metadata/PackingLists__31__metadata.json +++ b/metadata/PackingLists__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__35__metadata.json b/metadata/Passports__35__metadata.json index 0cca82e5..d39fb2fb 100644 --- a/metadata/Passports__35__metadata.json +++ b/metadata/Passports__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__20__metadata.json b/metadata/Payslips__20__metadata.json index 3d5dfbf5..ab03b10b 100644 --- a/metadata/Payslips__20__metadata.json +++ b/metadata/Payslips__20__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 20, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__41__metadata.json b/metadata/PurchaseOrders__41__metadata.json index e5e84f9b..f66a2741 100644 --- a/metadata/PurchaseOrders__41__metadata.json +++ b/metadata/PurchaseOrders__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__42__metadata.json b/metadata/Receipts__42__metadata.json index 5caaea43..b97e20d3 100644 --- a/metadata/Receipts__42__metadata.json +++ b/metadata/Receipts__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__34__metadata.json b/metadata/RemittanceAdvices__34__metadata.json index 57fcd5d7..dc96fb40 100644 --- a/metadata/RemittanceAdvices__34__metadata.json +++ b/metadata/RemittanceAdvices__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__9__metadata.json b/metadata/UB04__9__metadata.json index d4ce5adf..2ba4c4ea 100644 --- a/metadata/UB04__9__metadata.json +++ b/metadata/UB04__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__41__metadata.json b/metadata/UtilityBills__41__metadata.json index 2296a809..0a936f73 100644 --- a/metadata/UtilityBills__41__metadata.json +++ b/metadata/UtilityBills__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__31__metadata.json b/metadata/VehicleTitles__31__metadata.json index 48fd48f4..24d57c45 100644 --- a/metadata/VehicleTitles__31__metadata.json +++ b/metadata/VehicleTitles__31__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 31, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__34__metadata.json b/metadata/W2__34__metadata.json index dc3b007d..9cb14a51 100644 --- a/metadata/W2__34__metadata.json +++ b/metadata/W2__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__34__metadata.json b/metadata/W9__34__metadata.json index 9ddd23ca..731e0a94 100644 --- a/metadata/W9__34__metadata.json +++ b/metadata/W9__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.8", - "imagePath": "du-semistructured:v23.10-01.29-rc09", + "imagePath": "du-semistructured:v23.10-01.28-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 95f50b8a9f0efaae3ee9b21e82f0cb2a06880d48 Mon Sep 17 00:00:00 2001 From: Yash Date: Fri, 31 Jan 2025 09:58:59 -0800 Subject: [PATCH 235/267] Bump CV/2310 image --- ...tadata.json => ComputerVision__223100516__metadata.json} | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) rename metadata/{ComputerVision__223100515__metadata.json => ComputerVision__223100516__metadata.json} (93%) diff --git a/metadata/ComputerVision__223100515__metadata.json b/metadata/ComputerVision__223100516__metadata.json similarity index 93% rename from metadata/ComputerVision__223100515__metadata.json rename to metadata/ComputerVision__223100516__metadata.json index cd170d57..ef277659 100644 --- a/metadata/ComputerVision__223100515__metadata.json +++ b/metadata/ComputerVision__223100516__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.7", + "changeLog": "Release v2023.10.8", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 223100515, + "version": 223100516, "customVersion": "23.10.7", - "imagePath": "cv2310:23.10.5.15", + "imagePath": "cv2310:23.10.5.16", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From a7265ef3afd7d920662177f4ae0a10032bf8dd13 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Fri, 21 Feb 2025 15:01:37 +0200 Subject: [PATCH 236/267] Add maxAIFabricVersion and remove old metadatas (#363) --- metadata/1040ScheduleC__1__metadata.json | 34 ---------- metadata/1040ScheduleC__2__metadata.json | 34 ---------- metadata/1040ScheduleC__3__metadata.json | 34 ---------- metadata/1040ScheduleC__4__metadata.json | 34 ---------- metadata/1040ScheduleC__5__metadata.json | 33 ---------- metadata/1040ScheduleC__6__metadata.json | 33 ---------- metadata/1040ScheduleC__7__metadata.json | 33 ---------- metadata/1040ScheduleC__8__metadata.json | 2 +- metadata/1040ScheduleC__9__metadata.json | 5 +- metadata/1040ScheduleD__1__metadata.json | 34 ---------- metadata/1040ScheduleD__2__metadata.json | 34 ---------- metadata/1040ScheduleD__3__metadata.json | 34 ---------- metadata/1040ScheduleD__4__metadata.json | 34 ---------- metadata/1040ScheduleD__5__metadata.json | 33 ---------- metadata/1040ScheduleD__6__metadata.json | 33 ---------- metadata/1040ScheduleD__7__metadata.json | 33 ---------- metadata/1040ScheduleD__8__metadata.json | 2 +- metadata/1040ScheduleD__9__metadata.json | 5 +- metadata/1040ScheduleE__1__metadata.json | 34 ---------- metadata/1040ScheduleE__2__metadata.json | 34 ---------- metadata/1040ScheduleE__3__metadata.json | 34 ---------- metadata/1040ScheduleE__4__metadata.json | 34 ---------- metadata/1040ScheduleE__5__metadata.json | 33 ---------- metadata/1040ScheduleE__6__metadata.json | 33 ---------- metadata/1040ScheduleE__7__metadata.json | 33 ---------- metadata/1040ScheduleE__8__metadata.json | 2 +- metadata/1040ScheduleE__9__metadata.json | 5 +- metadata/1040__10__metadata.json | 34 ---------- metadata/1040__11__metadata.json | 34 ---------- metadata/1040__12__metadata.json | 34 ---------- metadata/1040__13__metadata.json | 34 ---------- metadata/1040__14__metadata.json | 34 ---------- metadata/1040__15__metadata.json | 34 ---------- metadata/1040__16__metadata.json | 34 ---------- metadata/1040__17__metadata.json | 34 ---------- metadata/1040__18__metadata.json | 34 ---------- metadata/1040__19__metadata.json | 34 ---------- metadata/1040__1__metadata.json | 33 ---------- metadata/1040__20__metadata.json | 34 ---------- metadata/1040__21__metadata.json | 34 ---------- metadata/1040__22__metadata.json | 34 ---------- metadata/1040__23__metadata.json | 65 ++++++++++--------- metadata/1040__24__metadata.json | 33 ---------- metadata/1040__25__metadata.json | 33 ---------- metadata/1040__26__metadata.json | 33 ---------- metadata/1040__27__metadata.json | 33 ---------- metadata/1040__28__metadata.json | 33 ---------- metadata/1040__29__metadata.json | 2 +- metadata/1040__2__metadata.json | 33 ---------- metadata/1040__30__metadata.json | 5 +- metadata/1040__31__metadata.json | 5 +- metadata/1040__3__metadata.json | 33 ---------- metadata/1040__4__metadata.json | 33 ---------- metadata/1040__5__metadata.json | 34 ---------- metadata/1040__6__metadata.json | 34 ---------- metadata/1040__7__metadata.json | 34 ---------- metadata/1040__8__metadata.json | 34 ---------- metadata/1040__9__metadata.json | 34 ---------- metadata/1040x__1__metadata.json | 33 ---------- metadata/1040x__2__metadata.json | 33 ---------- metadata/1040x__3__metadata.json | 2 +- metadata/3949a__1__metadata.json | 33 ---------- metadata/3949a__2__metadata.json | 33 ---------- metadata/3949a__3__metadata.json | 2 +- metadata/4506T__10__metadata.json | 34 ---------- metadata/4506T__11__metadata.json | 34 ---------- metadata/4506T__12__metadata.json | 34 ---------- metadata/4506T__13__metadata.json | 34 ---------- metadata/4506T__14__metadata.json | 34 ---------- metadata/4506T__15__metadata.json | 34 ---------- metadata/4506T__16__metadata.json | 34 ---------- metadata/4506T__17__metadata.json | 34 ---------- metadata/4506T__18__metadata.json | 34 ---------- metadata/4506T__19__metadata.json | 34 ---------- metadata/4506T__1__metadata.json | 25 ------- metadata/4506T__20__metadata.json | 34 ---------- metadata/4506T__21__metadata.json | 34 ---------- metadata/4506T__22__metadata.json | 34 ---------- metadata/4506T__23__metadata.json | 34 ---------- metadata/4506T__24__metadata.json | 34 ---------- metadata/4506T__25__metadata.json | 65 ++++++++++--------- metadata/4506T__26__metadata.json | 33 ---------- metadata/4506T__27__metadata.json | 33 ---------- metadata/4506T__28__metadata.json | 33 ---------- metadata/4506T__29__metadata.json | 33 ---------- metadata/4506T__2__metadata.json | 49 +++++++------- metadata/4506T__30__metadata.json | 33 ---------- metadata/4506T__31__metadata.json | 2 +- metadata/4506T__32__metadata.json | 5 +- metadata/4506T__33__metadata.json | 5 +- metadata/4506T__3__metadata.json | 33 ---------- metadata/4506T__4__metadata.json | 33 ---------- metadata/4506T__5__metadata.json | 33 ---------- metadata/4506T__6__metadata.json | 33 ---------- 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| 34 ---------- metadata/Acord25__7__metadata.json | 34 ---------- metadata/Acord25__8__metadata.json | 34 ---------- metadata/Acord25__9__metadata.json | 34 ---------- .../AustralianInvoices__10__metadata.json | 49 +++++++------- .../AustralianInvoices__11__metadata.json | 33 ---------- .../AustralianInvoices__12__metadata.json | 33 ---------- .../AustralianInvoices__13__metadata.json | 33 ---------- .../AustralianInvoices__14__metadata.json | 33 ---------- .../AustralianInvoices__15__metadata.json | 34 ---------- .../AustralianInvoices__16__metadata.json | 34 ---------- .../AustralianInvoices__17__metadata.json | 34 ---------- .../AustralianInvoices__18__metadata.json | 34 ---------- .../AustralianInvoices__19__metadata.json | 34 ---------- .../AustralianInvoices__20__metadata.json | 34 ---------- .../AustralianInvoices__21__metadata.json | 34 ---------- .../AustralianInvoices__22__metadata.json | 34 ---------- .../AustralianInvoices__23__metadata.json | 34 ---------- 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---------- metadata/BillsOfLading__6__metadata.json | 33 ---------- metadata/BillsOfLading__7__metadata.json | 33 ---------- metadata/BillsOfLading__8__metadata.json | 33 ---------- metadata/BillsOfLading__9__metadata.json | 33 ---------- metadata/CMS1500__10__metadata.json | 34 ---------- metadata/CMS1500__11__metadata.json | 34 ---------- metadata/CMS1500__12__metadata.json | 34 ---------- metadata/CMS1500__13__metadata.json | 33 ---------- metadata/CMS1500__14__metadata.json | 33 ---------- metadata/CMS1500__15__metadata.json | 33 ---------- metadata/CMS1500__16__metadata.json | 33 ---------- metadata/CMS1500__17__metadata.json | 33 ---------- metadata/CMS1500__18__metadata.json | 2 +- metadata/CMS1500__19__metadata.json | 5 +- metadata/CMS1500__1__metadata.json | 33 ---------- metadata/CMS1500__20__metadata.json | 5 +- metadata/CMS1500__2__metadata.json | 34 ---------- metadata/CMS1500__3__metadata.json | 34 ---------- metadata/CMS1500__4__metadata.json | 34 ---------- metadata/CMS1500__5__metadata.json | 34 ---------- metadata/CMS1500__6__metadata.json | 34 ---------- metadata/CMS1500__7__metadata.json | 34 ---------- metadata/CMS1500__8__metadata.json | 34 ---------- metadata/CMS1500__9__metadata.json | 34 ---------- ...ificatesOfIncorporation__10__metadata.json | 34 ---------- ...ificatesOfIncorporation__11__metadata.json | 34 ---------- ...ificatesOfIncorporation__12__metadata.json | 34 ---------- ...ificatesOfIncorporation__13__metadata.json | 33 ---------- ...ificatesOfIncorporation__14__metadata.json | 33 ---------- ...ificatesOfIncorporation__15__metadata.json | 33 ---------- ...ificatesOfIncorporation__16__metadata.json | 33 ---------- ...ificatesOfIncorporation__17__metadata.json | 33 ---------- ...ificatesOfIncorporation__18__metadata.json | 2 +- ...ificatesOfIncorporation__19__metadata.json | 5 +- ...tificatesOfIncorporation__1__metadata.json | 33 ---------- ...ificatesOfIncorporation__20__metadata.json | 5 +- 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metadata/Checks__5__metadata.json | 33 ---------- metadata/Checks__6__metadata.json | 33 ---------- metadata/Checks__7__metadata.json | 33 ---------- metadata/Checks__8__metadata.json | 33 ---------- metadata/Checks__9__metadata.json | 33 ---------- ...drenProductCertificates__10__metadata.json | 34 ---------- ...drenProductCertificates__11__metadata.json | 34 ---------- ...drenProductCertificates__12__metadata.json | 34 ---------- ...drenProductCertificates__13__metadata.json | 33 ---------- ...drenProductCertificates__14__metadata.json | 33 ---------- ...drenProductCertificates__15__metadata.json | 33 ---------- ...drenProductCertificates__16__metadata.json | 33 ---------- ...drenProductCertificates__17__metadata.json | 33 ---------- ...drenProductCertificates__18__metadata.json | 2 +- ...drenProductCertificates__19__metadata.json | 5 +- ...ldrenProductCertificates__1__metadata.json | 33 ---------- ...drenProductCertificates__20__metadata.json | 5 +- ...ldrenProductCertificates__2__metadata.json | 34 ---------- ...ldrenProductCertificates__3__metadata.json | 34 ---------- ...ldrenProductCertificates__4__metadata.json | 34 ---------- ...ldrenProductCertificates__5__metadata.json | 34 ---------- ...ldrenProductCertificates__6__metadata.json | 34 ---------- ...ldrenProductCertificates__7__metadata.json | 34 ---------- ...ldrenProductCertificates__8__metadata.json | 34 ---------- ...ldrenProductCertificates__9__metadata.json | 34 ---------- ...mNamedEntityRecognition__10__metadata.json | 44 ++++++------- ...omNamedEntityRecognition__8__metadata.json | 44 ++++++------- ...omNamedEntityRecognition__9__metadata.json | 44 ++++++------- metadata/DeliveryNotes__1__metadata.json | 24 ------- metadata/DeliveryNotes__2__metadata.json | 25 ------- metadata/DeliveryNotes__3__metadata.json | 49 +++++++------- .../DocumentClassifier__10__metadata.json | 26 -------- .../DocumentClassifier__11__metadata.json | 27 -------- 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| 26 -------- .../DocumentClassifier__30__metadata.json | 26 -------- .../DocumentClassifier__31__metadata.json | 2 +- .../DocumentClassifier__32__metadata.json | 5 +- .../DocumentClassifier__33__metadata.json | 5 +- metadata/DocumentClassifier__3__metadata.json | 24 ------- metadata/DocumentClassifier__4__metadata.json | 24 ------- metadata/DocumentClassifier__5__metadata.json | 25 ------- metadata/DocumentClassifier__6__metadata.json | 26 -------- metadata/DocumentClassifier__7__metadata.json | 26 -------- metadata/DocumentClassifier__8__metadata.json | 26 -------- metadata/DocumentClassifier__9__metadata.json | 26 -------- .../DocumentUnderstanding__10__metadata.json | 25 ------- .../DocumentUnderstanding__11__metadata.json | 49 +++++++------- .../DocumentUnderstanding__12__metadata.json | 33 ---------- .../DocumentUnderstanding__13__metadata.json | 33 ---------- .../DocumentUnderstanding__14__metadata.json | 33 ---------- .../DocumentUnderstanding__15__metadata.json | 33 ---------- 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.../DocumentUnderstanding__32__metadata.json | 34 ---------- .../DocumentUnderstanding__33__metadata.json | 34 ---------- .../DocumentUnderstanding__34__metadata.json | 65 ++++++++++--------- .../DocumentUnderstanding__35__metadata.json | 33 ---------- .../DocumentUnderstanding__36__metadata.json | 33 ---------- .../DocumentUnderstanding__37__metadata.json | 33 ---------- .../DocumentUnderstanding__38__metadata.json | 33 ---------- .../DocumentUnderstanding__39__metadata.json | 33 ---------- .../DocumentUnderstanding__40__metadata.json | 2 +- .../DocumentUnderstanding__41__metadata.json | 5 +- .../DocumentUnderstanding__42__metadata.json | 5 +- .../DocumentUnderstanding__8__metadata.json | 24 ------- .../DocumentUnderstanding__9__metadata.json | 24 ------- ...DeclarationOfConformity__10__metadata.json | 34 ---------- ...DeclarationOfConformity__11__metadata.json | 34 ---------- ...DeclarationOfConformity__12__metadata.json | 34 ---------- ...DeclarationOfConformity__13__metadata.json | 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...nglishTextClassification__2__metadata.json | 24 ------- metadata/FM1003__10__metadata.json | 34 ---------- metadata/FM1003__11__metadata.json | 34 ---------- metadata/FM1003__12__metadata.json | 34 ---------- metadata/FM1003__13__metadata.json | 34 ---------- metadata/FM1003__14__metadata.json | 34 ---------- metadata/FM1003__15__metadata.json | 34 ---------- metadata/FM1003__16__metadata.json | 34 ---------- metadata/FM1003__17__metadata.json | 34 ---------- metadata/FM1003__18__metadata.json | 34 ---------- metadata/FM1003__19__metadata.json | 34 ---------- metadata/FM1003__1__metadata.json | 25 ------- metadata/FM1003__20__metadata.json | 34 ---------- metadata/FM1003__21__metadata.json | 34 ---------- metadata/FM1003__22__metadata.json | 34 ---------- metadata/FM1003__23__metadata.json | 34 ---------- metadata/FM1003__24__metadata.json | 34 ---------- metadata/FM1003__25__metadata.json | 65 ++++++++++--------- metadata/FM1003__26__metadata.json | 33 ---------- metadata/FM1003__27__metadata.json | 33 ---------- metadata/FM1003__28__metadata.json | 33 ---------- metadata/FM1003__29__metadata.json | 33 ---------- metadata/FM1003__2__metadata.json | 49 +++++++------- metadata/FM1003__30__metadata.json | 33 ---------- metadata/FM1003__31__metadata.json | 2 +- metadata/FM1003__32__metadata.json | 5 +- metadata/FM1003__33__metadata.json | 5 +- metadata/FM1003__3__metadata.json | 33 ---------- metadata/FM1003__4__metadata.json | 33 ---------- metadata/FM1003__5__metadata.json | 33 ---------- metadata/FM1003__6__metadata.json | 33 ---------- metadata/FM1003__7__metadata.json | 34 ---------- metadata/FM1003__8__metadata.json | 34 ---------- metadata/FM1003__9__metadata.json | 34 ---------- .../FinancialStatements__10__metadata.json | 33 ---------- .../FinancialStatements__11__metadata.json | 33 ---------- .../FinancialStatements__12__metadata.json | 33 ---------- .../FinancialStatements__13__metadata.json | 33 ---------- 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.../FinancialStatements__2__metadata.json | 32 --------- .../FinancialStatements__30__metadata.json | 5 +- .../FinancialStatements__31__metadata.json | 5 +- .../FinancialStatements__3__metadata.json | 32 --------- .../FinancialStatements__4__metadata.json | 32 --------- .../FinancialStatements__5__metadata.json | 33 ---------- .../FinancialStatements__6__metadata.json | 33 ---------- .../FinancialStatements__7__metadata.json | 33 ---------- .../FinancialStatements__8__metadata.json | 33 ---------- .../FinancialStatements__9__metadata.json | 33 ---------- metadata/I9__10__metadata.json | 34 ---------- metadata/I9__11__metadata.json | 34 ---------- metadata/I9__12__metadata.json | 34 ---------- metadata/I9__13__metadata.json | 34 ---------- metadata/I9__14__metadata.json | 34 ---------- metadata/I9__15__metadata.json | 34 ---------- metadata/I9__16__metadata.json | 34 ---------- metadata/I9__17__metadata.json | 34 ---------- metadata/I9__18__metadata.json | 34 ---------- metadata/I9__19__metadata.json | 34 ---------- metadata/I9__1__metadata.json | 25 ------- metadata/I9__20__metadata.json | 34 ---------- metadata/I9__21__metadata.json | 34 ---------- metadata/I9__22__metadata.json | 34 ---------- metadata/I9__23__metadata.json | 34 ---------- metadata/I9__24__metadata.json | 34 ---------- metadata/I9__25__metadata.json | 65 ++++++++++--------- metadata/I9__26__metadata.json | 33 ---------- metadata/I9__27__metadata.json | 33 ---------- metadata/I9__28__metadata.json | 33 ---------- metadata/I9__29__metadata.json | 33 ---------- metadata/I9__2__metadata.json | 49 +++++++------- metadata/I9__30__metadata.json | 33 ---------- metadata/I9__31__metadata.json | 2 +- metadata/I9__32__metadata.json | 5 +- metadata/I9__33__metadata.json | 5 +- metadata/I9__3__metadata.json | 33 ---------- metadata/I9__4__metadata.json | 33 ---------- metadata/I9__5__metadata.json | 33 ---------- metadata/I9__6__metadata.json | 33 ---------- metadata/I9__7__metadata.json | 34 ---------- metadata/I9__8__metadata.json | 34 ---------- metadata/I9__9__metadata.json | 34 ---------- metadata/IDCards__10__metadata.json | 34 ---------- metadata/IDCards__11__metadata.json | 34 ---------- metadata/IDCards__12__metadata.json | 34 ---------- metadata/IDCards__13__metadata.json | 34 ---------- metadata/IDCards__14__metadata.json | 34 ---------- metadata/IDCards__15__metadata.json | 34 ---------- metadata/IDCards__16__metadata.json | 34 ---------- metadata/IDCards__17__metadata.json | 34 ---------- metadata/IDCards__18__metadata.json | 34 ---------- metadata/IDCards__19__metadata.json | 34 ---------- metadata/IDCards__1__metadata.json | 24 ------- metadata/IDCards__20__metadata.json | 34 ---------- metadata/IDCards__21__metadata.json | 34 ---------- metadata/IDCards__22__metadata.json | 34 ---------- metadata/IDCards__23__metadata.json | 34 ---------- metadata/IDCards__24__metadata.json | 34 ---------- metadata/IDCards__25__metadata.json | 34 ---------- metadata/IDCards__26__metadata.json | 34 ---------- metadata/IDCards__27__metadata.json | 65 ++++++++++--------- metadata/IDCards__28__metadata.json | 33 ---------- metadata/IDCards__29__metadata.json | 33 ---------- metadata/IDCards__2__metadata.json | 24 ------- metadata/IDCards__30__metadata.json | 33 ---------- metadata/IDCards__31__metadata.json | 33 ---------- metadata/IDCards__32__metadata.json | 33 ---------- metadata/IDCards__33__metadata.json | 2 +- metadata/IDCards__34__metadata.json | 5 +- metadata/IDCards__35__metadata.json | 5 +- metadata/IDCards__3__metadata.json | 25 ------- metadata/IDCards__4__metadata.json | 5 +- metadata/IDCards__5__metadata.json | 33 ---------- metadata/IDCards__6__metadata.json | 33 ---------- metadata/IDCards__7__metadata.json | 33 ---------- metadata/IDCards__8__metadata.json | 33 ---------- metadata/IDCards__9__metadata.json | 34 ---------- metadata/IndianInvoices__10__metadata.json | 49 +++++++------- metadata/IndianInvoices__11__metadata.json | 33 ---------- metadata/IndianInvoices__12__metadata.json | 33 ---------- metadata/IndianInvoices__13__metadata.json | 33 ---------- metadata/IndianInvoices__14__metadata.json | 33 ---------- metadata/IndianInvoices__15__metadata.json | 34 ---------- metadata/IndianInvoices__16__metadata.json | 34 ---------- metadata/IndianInvoices__17__metadata.json | 34 ---------- metadata/IndianInvoices__18__metadata.json | 34 ---------- metadata/IndianInvoices__19__metadata.json | 34 ---------- metadata/IndianInvoices__20__metadata.json | 34 ---------- metadata/IndianInvoices__21__metadata.json | 34 ---------- metadata/IndianInvoices__22__metadata.json | 34 ---------- metadata/IndianInvoices__23__metadata.json | 34 ---------- metadata/IndianInvoices__24__metadata.json | 34 ---------- metadata/IndianInvoices__25__metadata.json | 34 ---------- metadata/IndianInvoices__26__metadata.json | 34 ---------- metadata/IndianInvoices__27__metadata.json | 34 ---------- metadata/IndianInvoices__28__metadata.json | 34 ---------- metadata/IndianInvoices__29__metadata.json | 34 ---------- metadata/IndianInvoices__30__metadata.json | 34 ---------- metadata/IndianInvoices__31__metadata.json | 34 ---------- metadata/IndianInvoices__32__metadata.json | 34 ---------- metadata/IndianInvoices__33__metadata.json | 65 ++++++++++--------- metadata/IndianInvoices__34__metadata.json | 33 ---------- metadata/IndianInvoices__35__metadata.json | 33 ---------- metadata/IndianInvoices__36__metadata.json | 33 ---------- metadata/IndianInvoices__37__metadata.json | 33 ---------- metadata/IndianInvoices__38__metadata.json | 33 ---------- metadata/IndianInvoices__39__metadata.json | 2 +- metadata/IndianInvoices__40__metadata.json | 5 +- metadata/IndianInvoices__41__metadata.json | 5 +- metadata/IndianInvoices__7__metadata.json | 24 ------- metadata/IndianInvoices__8__metadata.json | 24 ------- metadata/IndianInvoices__9__metadata.json | 25 ------- metadata/InvoicesChina__10__metadata.json | 34 ---------- metadata/InvoicesChina__11__metadata.json | 34 ---------- metadata/InvoicesChina__12__metadata.json | 34 ---------- metadata/InvoicesChina__13__metadata.json | 34 ---------- metadata/InvoicesChina__14__metadata.json | 34 ---------- metadata/InvoicesChina__15__metadata.json | 34 ---------- metadata/InvoicesChina__16__metadata.json | 34 ---------- metadata/InvoicesChina__17__metadata.json | 34 ---------- metadata/InvoicesChina__18__metadata.json | 34 ---------- metadata/InvoicesChina__19__metadata.json | 34 ---------- metadata/InvoicesChina__1__metadata.json | 24 ------- metadata/InvoicesChina__20__metadata.json | 34 ---------- metadata/InvoicesChina__21__metadata.json | 34 ---------- metadata/InvoicesChina__22__metadata.json | 34 ---------- metadata/InvoicesChina__23__metadata.json | 34 ---------- metadata/InvoicesChina__24__metadata.json | 34 ---------- metadata/InvoicesChina__25__metadata.json | 34 ---------- metadata/InvoicesChina__26__metadata.json | 65 ++++++++++--------- metadata/InvoicesChina__27__metadata.json | 33 ---------- metadata/InvoicesChina__28__metadata.json | 33 ---------- metadata/InvoicesChina__29__metadata.json | 33 ---------- metadata/InvoicesChina__2__metadata.json | 25 ------- metadata/InvoicesChina__30__metadata.json | 33 ---------- metadata/InvoicesChina__31__metadata.json | 33 ---------- metadata/InvoicesChina__32__metadata.json | 2 +- metadata/InvoicesChina__33__metadata.json | 5 +- metadata/InvoicesChina__34__metadata.json | 5 +- metadata/InvoicesChina__3__metadata.json | 49 +++++++------- metadata/InvoicesChina__4__metadata.json | 33 ---------- metadata/InvoicesChina__5__metadata.json | 33 ---------- metadata/InvoicesChina__6__metadata.json | 33 ---------- metadata/InvoicesChina__7__metadata.json | 33 ---------- metadata/InvoicesChina__8__metadata.json | 34 ---------- metadata/InvoicesChina__9__metadata.json | 34 ---------- metadata/InvoicesHebrew__1__metadata.json | 33 ---------- metadata/InvoicesHebrew__2__metadata.json | 33 ---------- metadata/InvoicesHebrew__3__metadata.json | 2 +- metadata/InvoicesShipping__10__metadata.json | 34 ---------- metadata/InvoicesShipping__11__metadata.json | 34 ---------- metadata/InvoicesShipping__12__metadata.json | 34 ---------- metadata/InvoicesShipping__13__metadata.json | 33 ---------- metadata/InvoicesShipping__14__metadata.json | 33 ---------- metadata/InvoicesShipping__15__metadata.json | 33 ---------- metadata/InvoicesShipping__16__metadata.json | 33 ---------- metadata/InvoicesShipping__17__metadata.json | 33 ---------- metadata/InvoicesShipping__18__metadata.json | 2 +- metadata/InvoicesShipping__19__metadata.json | 5 +- metadata/InvoicesShipping__1__metadata.json | 33 ---------- metadata/InvoicesShipping__20__metadata.json | 5 +- metadata/InvoicesShipping__2__metadata.json | 34 ---------- metadata/InvoicesShipping__3__metadata.json | 34 ---------- metadata/InvoicesShipping__4__metadata.json | 34 ---------- metadata/InvoicesShipping__5__metadata.json | 34 ---------- metadata/InvoicesShipping__6__metadata.json | 34 ---------- metadata/InvoicesShipping__7__metadata.json | 34 ---------- metadata/InvoicesShipping__8__metadata.json | 34 ---------- metadata/InvoicesShipping__9__metadata.json | 34 ---------- metadata/Invoices__10__metadata.json | 25 ------- metadata/Invoices__11__metadata.json | 49 +++++++------- metadata/Invoices__12__metadata.json | 32 --------- metadata/Invoices__13__metadata.json | 32 --------- metadata/Invoices__14__metadata.json | 32 --------- metadata/Invoices__15__metadata.json | 32 --------- metadata/Invoices__16__metadata.json | 33 ---------- metadata/Invoices__17__metadata.json | 33 ---------- metadata/Invoices__18__metadata.json | 33 ---------- metadata/Invoices__19__metadata.json | 33 ---------- metadata/Invoices__20__metadata.json | 33 ---------- metadata/Invoices__21__metadata.json | 33 ---------- metadata/Invoices__22__metadata.json | 33 ---------- metadata/Invoices__23__metadata.json | 33 ---------- metadata/Invoices__24__metadata.json | 33 ---------- metadata/Invoices__25__metadata.json | 33 ---------- metadata/Invoices__26__metadata.json | 33 ---------- metadata/Invoices__27__metadata.json | 33 ---------- metadata/Invoices__28__metadata.json | 33 ---------- metadata/Invoices__29__metadata.json | 33 ---------- metadata/Invoices__30__metadata.json | 33 ---------- metadata/Invoices__31__metadata.json | 33 ---------- metadata/Invoices__32__metadata.json | 33 ---------- metadata/Invoices__33__metadata.json | 33 ---------- metadata/Invoices__34__metadata.json | 63 +++++++++--------- metadata/Invoices__35__metadata.json | 32 --------- metadata/Invoices__36__metadata.json | 32 --------- metadata/Invoices__37__metadata.json | 32 --------- metadata/Invoices__38__metadata.json | 32 --------- metadata/Invoices__39__metadata.json | 32 --------- metadata/Invoices__40__metadata.json | 2 +- metadata/Invoices__41__metadata.json | 5 +- metadata/Invoices__42__metadata.json | 5 +- metadata/Invoices__8__metadata.json | 24 ------- metadata/Invoices__9__metadata.json | 24 ------- metadata/JapaneseInvoices__10__metadata.json | 33 ---------- metadata/JapaneseInvoices__11__metadata.json | 33 ---------- metadata/JapaneseInvoices__12__metadata.json | 33 ---------- metadata/JapaneseInvoices__13__metadata.json | 34 ---------- metadata/JapaneseInvoices__14__metadata.json | 34 ---------- metadata/JapaneseInvoices__15__metadata.json | 34 ---------- metadata/JapaneseInvoices__16__metadata.json | 34 ---------- metadata/JapaneseInvoices__17__metadata.json | 34 ---------- metadata/JapaneseInvoices__18__metadata.json | 34 ---------- metadata/JapaneseInvoices__19__metadata.json | 34 ---------- metadata/JapaneseInvoices__20__metadata.json | 34 ---------- metadata/JapaneseInvoices__21__metadata.json | 34 ---------- metadata/JapaneseInvoices__22__metadata.json | 34 ---------- metadata/JapaneseInvoices__23__metadata.json | 34 ---------- metadata/JapaneseInvoices__24__metadata.json | 34 ---------- metadata/JapaneseInvoices__25__metadata.json | 34 ---------- metadata/JapaneseInvoices__26__metadata.json | 34 ---------- metadata/JapaneseInvoices__27__metadata.json | 34 ---------- metadata/JapaneseInvoices__28__metadata.json | 34 ---------- metadata/JapaneseInvoices__29__metadata.json | 34 ---------- metadata/JapaneseInvoices__30__metadata.json | 34 ---------- metadata/JapaneseInvoices__31__metadata.json | 65 ++++++++++--------- metadata/JapaneseInvoices__32__metadata.json | 33 ---------- metadata/JapaneseInvoices__33__metadata.json | 33 ---------- metadata/JapaneseInvoices__34__metadata.json | 33 ---------- metadata/JapaneseInvoices__35__metadata.json | 33 ---------- metadata/JapaneseInvoices__36__metadata.json | 33 ---------- metadata/JapaneseInvoices__37__metadata.json | 2 +- metadata/JapaneseInvoices__38__metadata.json | 5 +- metadata/JapaneseInvoices__39__metadata.json | 5 +- metadata/JapaneseInvoices__5__metadata.json | 24 ------- metadata/JapaneseInvoices__6__metadata.json | 24 ------- metadata/JapaneseInvoices__7__metadata.json | 25 ------- metadata/JapaneseInvoices__8__metadata.json | 49 +++++++------- metadata/JapaneseInvoices__9__metadata.json | 33 ---------- .../MultilingualTranslator__1__metadata.json | 44 ++++++------- metadata/PackingLists__10__metadata.json | 33 ---------- metadata/PackingLists__11__metadata.json | 33 ---------- metadata/PackingLists__12__metadata.json | 33 ---------- metadata/PackingLists__13__metadata.json | 33 ---------- metadata/PackingLists__14__metadata.json | 33 ---------- metadata/PackingLists__15__metadata.json | 33 ---------- metadata/PackingLists__16__metadata.json | 33 ---------- metadata/PackingLists__17__metadata.json | 33 ---------- metadata/PackingLists__18__metadata.json | 33 ---------- metadata/PackingLists__19__metadata.json | 33 ---------- metadata/PackingLists__1__metadata.json | 32 --------- metadata/PackingLists__20__metadata.json | 33 ---------- metadata/PackingLists__21__metadata.json | 33 ---------- metadata/PackingLists__22__metadata.json | 33 ---------- metadata/PackingLists__23__metadata.json | 63 +++++++++--------- metadata/PackingLists__24__metadata.json | 32 --------- metadata/PackingLists__25__metadata.json | 32 --------- metadata/PackingLists__26__metadata.json | 32 --------- metadata/PackingLists__27__metadata.json | 32 --------- metadata/PackingLists__28__metadata.json | 32 --------- metadata/PackingLists__29__metadata.json | 2 +- metadata/PackingLists__2__metadata.json | 32 --------- metadata/PackingLists__30__metadata.json | 5 +- metadata/PackingLists__31__metadata.json | 5 +- metadata/PackingLists__3__metadata.json | 32 --------- metadata/PackingLists__4__metadata.json | 32 --------- metadata/PackingLists__5__metadata.json | 33 ---------- metadata/PackingLists__6__metadata.json | 33 ---------- metadata/PackingLists__7__metadata.json | 33 ---------- metadata/PackingLists__8__metadata.json | 33 ---------- metadata/PackingLists__9__metadata.json | 33 ---------- metadata/Passports__10__metadata.json | 34 ---------- metadata/Passports__11__metadata.json | 34 ---------- metadata/Passports__12__metadata.json | 34 ---------- metadata/Passports__13__metadata.json | 34 ---------- metadata/Passports__14__metadata.json | 34 ---------- metadata/Passports__15__metadata.json | 34 ---------- metadata/Passports__16__metadata.json | 34 ---------- metadata/Passports__17__metadata.json | 34 ---------- metadata/Passports__18__metadata.json | 34 ---------- metadata/Passports__19__metadata.json | 34 ---------- metadata/Passports__1__metadata.json | 24 ------- metadata/Passports__20__metadata.json | 34 ---------- metadata/Passports__21__metadata.json | 34 ---------- metadata/Passports__22__metadata.json | 34 ---------- metadata/Passports__23__metadata.json | 34 ---------- metadata/Passports__24__metadata.json | 34 ---------- metadata/Passports__25__metadata.json | 34 ---------- metadata/Passports__26__metadata.json | 34 ---------- metadata/Passports__27__metadata.json | 65 ++++++++++--------- metadata/Passports__28__metadata.json | 33 ---------- metadata/Passports__29__metadata.json | 33 ---------- metadata/Passports__2__metadata.json | 24 ------- metadata/Passports__30__metadata.json | 33 ---------- metadata/Passports__31__metadata.json | 33 ---------- metadata/Passports__32__metadata.json | 33 ---------- metadata/Passports__33__metadata.json | 2 +- metadata/Passports__34__metadata.json | 5 +- metadata/Passports__35__metadata.json | 5 +- metadata/Passports__3__metadata.json | 25 ------- metadata/Passports__4__metadata.json | 5 +- metadata/Passports__5__metadata.json | 33 ---------- metadata/Passports__6__metadata.json | 33 ---------- metadata/Passports__7__metadata.json | 33 ---------- metadata/Passports__8__metadata.json | 33 ---------- metadata/Passports__9__metadata.json | 34 ---------- metadata/Payslips__10__metadata.json | 34 ---------- metadata/Payslips__11__metadata.json | 34 ---------- metadata/Payslips__12__metadata.json | 34 ---------- metadata/Payslips__13__metadata.json | 33 ---------- metadata/Payslips__14__metadata.json | 33 ---------- metadata/Payslips__15__metadata.json | 33 ---------- metadata/Payslips__16__metadata.json | 33 ---------- metadata/Payslips__17__metadata.json | 33 ---------- metadata/Payslips__18__metadata.json | 2 +- metadata/Payslips__19__metadata.json | 5 +- metadata/Payslips__1__metadata.json | 33 ---------- metadata/Payslips__20__metadata.json | 5 +- metadata/Payslips__2__metadata.json | 34 ---------- metadata/Payslips__3__metadata.json | 34 ---------- metadata/Payslips__4__metadata.json | 34 ---------- metadata/Payslips__5__metadata.json | 34 ---------- metadata/Payslips__6__metadata.json | 34 ---------- metadata/Payslips__7__metadata.json | 34 ---------- metadata/Payslips__8__metadata.json | 34 ---------- metadata/Payslips__9__metadata.json | 34 ---------- metadata/PurchaseOrders__10__metadata.json | 49 +++++++------- metadata/PurchaseOrders__11__metadata.json | 33 ---------- metadata/PurchaseOrders__12__metadata.json | 33 ---------- metadata/PurchaseOrders__13__metadata.json | 33 ---------- metadata/PurchaseOrders__14__metadata.json | 33 ---------- metadata/PurchaseOrders__15__metadata.json | 34 ---------- metadata/PurchaseOrders__16__metadata.json | 34 ---------- metadata/PurchaseOrders__17__metadata.json | 34 ---------- metadata/PurchaseOrders__18__metadata.json | 34 ---------- metadata/PurchaseOrders__19__metadata.json | 34 ---------- metadata/PurchaseOrders__20__metadata.json | 34 ---------- metadata/PurchaseOrders__21__metadata.json | 34 ---------- metadata/PurchaseOrders__22__metadata.json | 34 ---------- metadata/PurchaseOrders__23__metadata.json | 34 ---------- metadata/PurchaseOrders__24__metadata.json | 34 ---------- metadata/PurchaseOrders__25__metadata.json | 34 ---------- metadata/PurchaseOrders__26__metadata.json | 34 ---------- metadata/PurchaseOrders__27__metadata.json | 34 ---------- metadata/PurchaseOrders__28__metadata.json | 34 ---------- metadata/PurchaseOrders__29__metadata.json | 34 ---------- metadata/PurchaseOrders__30__metadata.json | 34 ---------- metadata/PurchaseOrders__31__metadata.json | 34 ---------- metadata/PurchaseOrders__32__metadata.json | 34 ---------- metadata/PurchaseOrders__33__metadata.json | 65 ++++++++++--------- metadata/PurchaseOrders__34__metadata.json | 33 ---------- metadata/PurchaseOrders__35__metadata.json | 33 ---------- metadata/PurchaseOrders__36__metadata.json | 33 ---------- metadata/PurchaseOrders__37__metadata.json | 33 ---------- metadata/PurchaseOrders__38__metadata.json | 33 ---------- metadata/PurchaseOrders__39__metadata.json | 2 +- metadata/PurchaseOrders__40__metadata.json | 5 +- metadata/PurchaseOrders__41__metadata.json | 5 +- metadata/PurchaseOrders__7__metadata.json | 24 ------- metadata/PurchaseOrders__8__metadata.json | 24 ------- metadata/PurchaseOrders__9__metadata.json | 25 ------- metadata/Receipts__10__metadata.json | 25 ------- metadata/Receipts__11__metadata.json | 49 +++++++------- metadata/Receipts__12__metadata.json | 33 ---------- metadata/Receipts__13__metadata.json | 33 ---------- metadata/Receipts__14__metadata.json | 33 ---------- metadata/Receipts__15__metadata.json | 33 ---------- metadata/Receipts__16__metadata.json | 34 ---------- metadata/Receipts__17__metadata.json | 34 ---------- metadata/Receipts__18__metadata.json | 34 ---------- metadata/Receipts__19__metadata.json | 34 ---------- metadata/Receipts__20__metadata.json | 34 ---------- metadata/Receipts__21__metadata.json | 34 ---------- metadata/Receipts__22__metadata.json | 34 ---------- metadata/Receipts__23__metadata.json | 34 ---------- metadata/Receipts__24__metadata.json | 34 ---------- metadata/Receipts__25__metadata.json | 34 ---------- metadata/Receipts__26__metadata.json | 34 ---------- metadata/Receipts__27__metadata.json | 34 ---------- metadata/Receipts__28__metadata.json | 34 ---------- metadata/Receipts__29__metadata.json | 34 ---------- metadata/Receipts__30__metadata.json | 34 ---------- metadata/Receipts__31__metadata.json | 34 ---------- metadata/Receipts__32__metadata.json | 34 ---------- metadata/Receipts__33__metadata.json | 34 ---------- metadata/Receipts__34__metadata.json | 65 ++++++++++--------- metadata/Receipts__35__metadata.json | 33 ---------- metadata/Receipts__36__metadata.json | 33 ---------- metadata/Receipts__37__metadata.json | 33 ---------- metadata/Receipts__38__metadata.json | 33 ---------- metadata/Receipts__39__metadata.json | 33 ---------- metadata/Receipts__40__metadata.json | 2 +- metadata/Receipts__41__metadata.json | 5 +- metadata/Receipts__42__metadata.json | 5 +- metadata/Receipts__8__metadata.json | 24 ------- metadata/Receipts__9__metadata.json | 24 ------- metadata/RemittanceAdvices__10__metadata.json | 34 ---------- metadata/RemittanceAdvices__11__metadata.json | 34 ---------- metadata/RemittanceAdvices__12__metadata.json | 34 ---------- metadata/RemittanceAdvices__13__metadata.json | 34 ---------- metadata/RemittanceAdvices__14__metadata.json | 34 ---------- metadata/RemittanceAdvices__15__metadata.json | 34 ---------- metadata/RemittanceAdvices__16__metadata.json | 34 ---------- metadata/RemittanceAdvices__17__metadata.json | 34 ---------- metadata/RemittanceAdvices__18__metadata.json | 34 ---------- metadata/RemittanceAdvices__19__metadata.json | 34 ---------- metadata/RemittanceAdvices__1__metadata.json | 24 ------- metadata/RemittanceAdvices__20__metadata.json | 34 ---------- metadata/RemittanceAdvices__21__metadata.json | 34 ---------- metadata/RemittanceAdvices__22__metadata.json | 34 ---------- metadata/RemittanceAdvices__23__metadata.json | 34 ---------- metadata/RemittanceAdvices__24__metadata.json | 34 ---------- metadata/RemittanceAdvices__25__metadata.json | 34 ---------- metadata/RemittanceAdvices__26__metadata.json | 65 ++++++++++--------- metadata/RemittanceAdvices__27__metadata.json | 33 ---------- metadata/RemittanceAdvices__28__metadata.json | 33 ---------- metadata/RemittanceAdvices__29__metadata.json | 33 ---------- metadata/RemittanceAdvices__2__metadata.json | 25 ------- metadata/RemittanceAdvices__30__metadata.json | 33 ---------- metadata/RemittanceAdvices__31__metadata.json | 33 ---------- metadata/RemittanceAdvices__32__metadata.json | 2 +- metadata/RemittanceAdvices__33__metadata.json | 5 +- metadata/RemittanceAdvices__34__metadata.json | 5 +- metadata/RemittanceAdvices__3__metadata.json | 49 +++++++------- metadata/RemittanceAdvices__4__metadata.json | 33 ---------- metadata/RemittanceAdvices__5__metadata.json | 33 ---------- metadata/RemittanceAdvices__6__metadata.json | 33 ---------- metadata/RemittanceAdvices__7__metadata.json | 33 ---------- metadata/RemittanceAdvices__8__metadata.json | 34 ---------- metadata/RemittanceAdvices__9__metadata.json | 34 ---------- .../TPOTAutoMLRegression__1__metadata.json | 46 ++++++------- metadata/UB04__1__metadata.json | 34 ---------- metadata/UB04__2__metadata.json | 34 ---------- metadata/UB04__3__metadata.json | 34 ---------- metadata/UB04__4__metadata.json | 34 ---------- metadata/UB04__5__metadata.json | 33 ---------- metadata/UB04__6__metadata.json | 33 ---------- metadata/UB04__7__metadata.json | 33 ---------- metadata/UB04__8__metadata.json | 2 +- metadata/UB04__9__metadata.json | 5 +- .../UiPathDocumentOCR_CPU__10__metadata.json | 27 -------- .../UiPathDocumentOCR_CPU__11__metadata.json | 26 -------- .../UiPathDocumentOCR_CPU__12__metadata.json | 27 -------- .../UiPathDocumentOCR_CPU__13__metadata.json | 27 -------- .../UiPathDocumentOCR_CPU__14__metadata.json | 27 -------- .../UiPathDocumentOCR_CPU__15__metadata.json | 27 -------- .../UiPathDocumentOCR_CPU__16__metadata.json | 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Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040ScheduleC", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040_schedule_c" - } - ] -} - diff --git a/metadata/1040ScheduleC__2__metadata.json b/metadata/1040ScheduleC__2__metadata.json deleted file mode 100644 index dba3596a..00000000 --- a/metadata/1040ScheduleC__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_1040ScheduleC", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040ScheduleC", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040_schedule_c" - } - ] -} - diff --git a/metadata/1040ScheduleC__3__metadata.json b/metadata/1040ScheduleC__3__metadata.json deleted file mode 100644 index 1cc938d4..00000000 --- a/metadata/1040ScheduleC__3__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_1040ScheduleC", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040ScheduleC", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040_schedule_c" - } - ] -} - diff --git a/metadata/1040ScheduleC__4__metadata.json b/metadata/1040ScheduleC__4__metadata.json deleted file mode 100644 index 68443ae3..00000000 --- a/metadata/1040ScheduleC__4__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_1040ScheduleC", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040ScheduleC", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040_schedule_c" - } - ] -} - diff --git a/metadata/1040ScheduleC__5__metadata.json b/metadata/1040ScheduleC__5__metadata.json deleted file mode 100644 index e9ca18e6..00000000 --- a/metadata/1040ScheduleC__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_1040ScheduleC", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040ScheduleC", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040_schedule_c" - } - ] -} diff --git a/metadata/1040ScheduleC__6__metadata.json b/metadata/1040ScheduleC__6__metadata.json deleted file mode 100644 index e4c5257a..00000000 --- a/metadata/1040ScheduleC__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_1040ScheduleC", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040ScheduleD", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040_schedule_d" - } - ] -} diff --git a/metadata/1040ScheduleD__7__metadata.json b/metadata/1040ScheduleD__7__metadata.json deleted file mode 100644 index c0f68658..00000000 --- a/metadata/1040ScheduleD__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_1040ScheduleD", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040" - } - ] -} - diff --git a/metadata/1040__9__metadata.json b/metadata/1040__9__metadata.json deleted file mode 100644 index c0001c49..00000000 --- a/metadata/1040__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_1040", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040" - } - ] -} - diff --git a/metadata/1040x__1__metadata.json b/metadata/1040x__1__metadata.json deleted file mode 100644 index c5388ee7..00000000 --- a/metadata/1040x__1__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_1040x", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "1040x", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "1040x" - } - ] -} diff --git a/metadata/1040x__2__metadata.json b/metadata/1040x__2__metadata.json deleted file mode 100644 index a4d4435b..00000000 --- a/metadata/1040x__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_1040x", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "3949a", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "3949a" - } - ] -} diff --git a/metadata/3949a__2__metadata.json b/metadata/3949a__2__metadata.json deleted file mode 100644 index e657f5d2..00000000 --- a/metadata/3949a__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_3949a", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} - diff --git a/metadata/4506T__25__metadata.json b/metadata/4506T__25__metadata.json index b06a63c6..02d619cc 100644 --- a/metadata/4506T__25__metadata.json +++ b/metadata/4506T__25__metadata.json @@ -1,33 +1,34 @@ { - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/4506T__26__metadata.json b/metadata/4506T__26__metadata.json deleted file mode 100644 index 0e2161e6..00000000 --- a/metadata/4506T__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} diff --git a/metadata/4506T__27__metadata.json b/metadata/4506T__27__metadata.json deleted file mode 100644 index 66fad7e9..00000000 --- a/metadata/4506T__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} diff --git a/metadata/4506T__28__metadata.json b/metadata/4506T__28__metadata.json deleted file mode 100644 index 8426a789..00000000 --- a/metadata/4506T__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} diff --git a/metadata/4506T__29__metadata.json b/metadata/4506T__29__metadata.json deleted file mode 100644 index c7cb439e..00000000 --- a/metadata/4506T__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} diff --git a/metadata/4506T__2__metadata.json b/metadata/4506T__2__metadata.json index 0146aade..58feac8e 100644 --- a/metadata/4506T__2__metadata.json +++ b/metadata/4506T__2__metadata.json @@ -1,25 +1,26 @@ { - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/4506T/22.4.1/4506t_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/4506T__30__metadata.json b/metadata/4506T__30__metadata.json deleted file mode 100644 index 056e6c10..00000000 --- a/metadata/4506T__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} diff --git a/metadata/4506T__31__metadata.json b/metadata/4506T__31__metadata.json index 78b798b6..36b85948 100644 --- a/metadata/4506T__31__metadata.json +++ b/metadata/4506T__31__metadata.json @@ -30,4 +30,4 @@ "value": "4506t" } ] -} +} \ No newline at end of file diff --git a/metadata/4506T__32__metadata.json b/metadata/4506T__32__metadata.json index 2fd5366f..ede0cef9 100644 --- a/metadata/4506T__32__metadata.json +++ b/metadata/4506T__32__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "4506t" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/4506T__33__metadata.json b/metadata/4506T__33__metadata.json index ea314c00..e3745154 100644 --- a/metadata/4506T__33__metadata.json +++ b/metadata/4506T__33__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "4506t" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/4506T__3__metadata.json b/metadata/4506T__3__metadata.json deleted file mode 100644 index 8ac9459c..00000000 --- a/metadata/4506T__3__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} diff --git a/metadata/4506T__6__metadata.json b/metadata/4506T__6__metadata.json deleted file mode 100644 index 4bf7ceef..00000000 --- a/metadata/4506T__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} diff --git a/metadata/4506T__7__metadata.json b/metadata/4506T__7__metadata.json deleted file mode 100644 index 616c7cc4..00000000 --- a/metadata/4506T__7__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "4506T", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "4506t" - } - ] -} - diff --git a/metadata/4506T__8__metadata.json b/metadata/4506T__8__metadata.json deleted file mode 100644 index 7fc08fde..00000000 --- a/metadata/4506T__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_4506T", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "709", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "709" - } - ] -} diff --git a/metadata/709__2__metadata.json b/metadata/709__2__metadata.json deleted file mode 100644 index fa3c27c6..00000000 --- a/metadata/709__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_709", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "990", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 1, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/990/22.4.0/990_package.zip" -} diff --git a/metadata/990__20__metadata.json b/metadata/990__20__metadata.json deleted file mode 100644 index 6c7b989e..00000000 --- a/metadata/990__20__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_990", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "990", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "990" - } - ] -} - diff --git a/metadata/990__21__metadata.json b/metadata/990__21__metadata.json deleted file mode 100644 index fcfd7c7e..00000000 --- a/metadata/990__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_990", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "990", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "990" - } - ] -} - diff --git a/metadata/990__23__metadata.json b/metadata/990__23__metadata.json deleted file mode 100644 index e3e4aae6..00000000 --- a/metadata/990__23__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "form_990", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "990", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "990" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/990__26__metadata.json b/metadata/990__26__metadata.json deleted file mode 100644 index cae357a2..00000000 --- a/metadata/990__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_990", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "990", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "990" - } - ] -} diff --git a/metadata/990__27__metadata.json b/metadata/990__27__metadata.json deleted file mode 100644 index 04c2dfea..00000000 --- a/metadata/990__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_990", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "990", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "990" - } - ] -} diff --git a/metadata/990__29__metadata.json b/metadata/990__29__metadata.json deleted file mode 100644 index 14d09e64..00000000 --- a/metadata/990__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "form_990", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from 990 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord125", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } - ] -} - diff --git a/metadata/Acord125__25__metadata.json b/metadata/Acord125__25__metadata.json index 37a343b4..99f62c58 100644 --- a/metadata/Acord125__25__metadata.json +++ b/metadata/Acord125__25__metadata.json @@ -1,33 +1,34 @@ { - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord125", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } - ] -} + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/Acord125__26__metadata.json b/metadata/Acord125__26__metadata.json deleted file mode 100644 index cf3e9085..00000000 --- a/metadata/Acord125__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord125", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } - ] -} diff --git a/metadata/Acord125__27__metadata.json b/metadata/Acord125__27__metadata.json deleted file mode 100644 index 5a29bb0c..00000000 --- a/metadata/Acord125__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord125", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } - ] -} diff --git a/metadata/Acord125__28__metadata.json b/metadata/Acord125__28__metadata.json deleted file mode 100644 index e42ddab9..00000000 --- a/metadata/Acord125__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord125", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } - ] -} diff --git a/metadata/Acord125__29__metadata.json b/metadata/Acord125__29__metadata.json deleted file mode 100644 index 9e88eb73..00000000 --- a/metadata/Acord125__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord125", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } - ] -} diff --git a/metadata/Acord125__2__metadata.json b/metadata/Acord125__2__metadata.json index 42f4d37d..bf38761a 100644 --- a/metadata/Acord125__2__metadata.json +++ b/metadata/Acord125__2__metadata.json @@ -1,25 +1,26 @@ { - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/Acord125/22.4.1/acord125_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/Acord125__30__metadata.json b/metadata/Acord125__30__metadata.json deleted file mode 100644 index a361e2d8..00000000 --- a/metadata/Acord125__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord125", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord125" - } - ] -} diff --git a/metadata/Acord125__31__metadata.json b/metadata/Acord125__31__metadata.json index 24b0b645..efef6b61 100644 --- a/metadata/Acord125__31__metadata.json +++ b/metadata/Acord125__31__metadata.json @@ -30,4 +30,4 @@ "value": "acord125" } ] -} +} \ No newline at end of file diff --git a/metadata/Acord125__32__metadata.json b/metadata/Acord125__32__metadata.json index c5b1f160..18485a3e 100644 --- a/metadata/Acord125__32__metadata.json +++ b/metadata/Acord125__32__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "acord125" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/Acord125__33__metadata.json b/metadata/Acord125__33__metadata.json index 09ac6c40..30d0ed81 100644 --- a/metadata/Acord125__33__metadata.json +++ b/metadata/Acord125__33__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "acord125" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Acord125__3__metadata.json b/metadata/Acord125__3__metadata.json deleted file mode 100644 index c1637941..00000000 --- a/metadata/Acord125__3__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord125", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord126", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } - ] -} - diff --git a/metadata/Acord126__16__metadata.json b/metadata/Acord126__16__metadata.json deleted file mode 100644 index 7c8bf3f5..00000000 --- a/metadata/Acord126__16__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord126", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord126", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } - ] -} - diff --git a/metadata/Acord126__17__metadata.json b/metadata/Acord126__17__metadata.json deleted file mode 100644 index 9e825a9d..00000000 --- a/metadata/Acord126__17__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord126", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord126", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } - ] -} diff --git a/metadata/Acord126__25__metadata.json b/metadata/Acord126__25__metadata.json deleted file mode 100644 index 0c4aff14..00000000 --- a/metadata/Acord126__25__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord126", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord126", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } - ] -} diff --git a/metadata/Acord126__26__metadata.json b/metadata/Acord126__26__metadata.json deleted file mode 100644 index 8834af8a..00000000 --- a/metadata/Acord126__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord126", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord126", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } - ] -} diff --git a/metadata/Acord126__27__metadata.json b/metadata/Acord126__27__metadata.json deleted file mode 100644 index be631d93..00000000 --- a/metadata/Acord126__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord126", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord126", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } - ] -} diff --git a/metadata/Acord126__28__metadata.json b/metadata/Acord126__28__metadata.json deleted file mode 100644 index 39810e9d..00000000 --- a/metadata/Acord126__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord126", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord126", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord126" - } - ] -} diff --git a/metadata/Acord126__29__metadata.json b/metadata/Acord126__29__metadata.json index c2844c12..cab2782f 100644 --- a/metadata/Acord126__29__metadata.json +++ b/metadata/Acord126__29__metadata.json @@ -30,4 +30,4 @@ "value": "acord126" } ] -} +} \ No newline at end of file diff --git a/metadata/Acord126__2__metadata.json b/metadata/Acord126__2__metadata.json deleted file mode 100644 index 0e6542ba..00000000 --- a/metadata/Acord126__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord126", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord131", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord131" - } - ] -} diff --git a/metadata/Acord131__28__metadata.json b/metadata/Acord131__28__metadata.json deleted file mode 100644 index 840b27a1..00000000 --- a/metadata/Acord131__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord131", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord131", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord131" - } - ] -} diff --git a/metadata/Acord131__29__metadata.json b/metadata/Acord131__29__metadata.json index 02ec59ae..889c7380 100644 --- a/metadata/Acord131__29__metadata.json +++ b/metadata/Acord131__29__metadata.json @@ -30,4 +30,4 @@ "value": "acord131" } ] -} +} \ No newline at end of file diff --git a/metadata/Acord131__2__metadata.json b/metadata/Acord131__2__metadata.json deleted file mode 100644 index 14e4f046..00000000 --- a/metadata/Acord131__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord131", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} - diff --git a/metadata/Acord140__21__metadata.json b/metadata/Acord140__21__metadata.json deleted file mode 100644 index 1bb411ed..00000000 --- a/metadata/Acord140__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} - diff --git a/metadata/Acord140__22__metadata.json b/metadata/Acord140__22__metadata.json deleted file mode 100644 index 155c050c..00000000 --- a/metadata/Acord140__22__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} - diff --git a/metadata/Acord140__23__metadata.json b/metadata/Acord140__23__metadata.json index c3e89260..586a06f7 100644 --- a/metadata/Acord140__23__metadata.json +++ b/metadata/Acord140__23__metadata.json @@ -1,33 +1,34 @@ { - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/Acord140__24__metadata.json b/metadata/Acord140__24__metadata.json deleted file mode 100644 index a87d664f..00000000 --- a/metadata/Acord140__24__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} diff --git a/metadata/Acord140__25__metadata.json b/metadata/Acord140__25__metadata.json deleted file mode 100644 index edb84640..00000000 --- a/metadata/Acord140__25__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} diff --git a/metadata/Acord140__26__metadata.json b/metadata/Acord140__26__metadata.json deleted file mode 100644 index 46285dd9..00000000 --- a/metadata/Acord140__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} diff --git a/metadata/Acord140__27__metadata.json b/metadata/Acord140__27__metadata.json deleted file mode 100644 index 39b6c339..00000000 --- a/metadata/Acord140__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} diff --git a/metadata/Acord140__28__metadata.json b/metadata/Acord140__28__metadata.json deleted file mode 100644 index 9b9a81ef..00000000 --- a/metadata/Acord140__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} diff --git a/metadata/Acord140__29__metadata.json b/metadata/Acord140__29__metadata.json index 68b006de..3df55b72 100644 --- a/metadata/Acord140__29__metadata.json +++ b/metadata/Acord140__29__metadata.json @@ -30,4 +30,4 @@ "value": "acord140" } ] -} +} \ No newline at end of file diff --git a/metadata/Acord140__2__metadata.json b/metadata/Acord140__2__metadata.json deleted file mode 100644 index 411bf8ba..00000000 --- a/metadata/Acord140__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord140", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord140" - } - ] -} diff --git a/metadata/Acord140__30__metadata.json b/metadata/Acord140__30__metadata.json index c7c7131c..9aed68a2 100644 --- a/metadata/Acord140__30__metadata.json +++ b/metadata/Acord140__30__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "acord140" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/Acord140__31__metadata.json b/metadata/Acord140__31__metadata.json index 28cc554c..c51aa231 100644 --- a/metadata/Acord140__31__metadata.json +++ b/metadata/Acord140__31__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "acord140" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Acord140__3__metadata.json b/metadata/Acord140__3__metadata.json deleted file mode 100644 index 4637bec6..00000000 --- a/metadata/Acord140__3__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord140", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/Acord25__14__metadata.json b/metadata/Acord25__14__metadata.json deleted file mode 100644 index c5f74c53..00000000 --- a/metadata/Acord25__14__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/Acord25__15__metadata.json b/metadata/Acord25__15__metadata.json deleted file mode 100644 index 09af8de2..00000000 --- a/metadata/Acord25__15__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/Acord25__16__metadata.json b/metadata/Acord25__16__metadata.json deleted file mode 100644 index 472689d3..00000000 --- a/metadata/Acord25__16__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/Acord25__23__metadata.json b/metadata/Acord25__23__metadata.json index 0c077c67..e532213c 100644 --- a/metadata/Acord25__23__metadata.json +++ b/metadata/Acord25__23__metadata.json @@ -1,33 +1,34 @@ { - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/Acord25__24__metadata.json b/metadata/Acord25__24__metadata.json deleted file mode 100644 index 8510d1ed..00000000 --- a/metadata/Acord25__24__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} diff --git a/metadata/Acord25__25__metadata.json b/metadata/Acord25__25__metadata.json deleted file mode 100644 index f9ba0d63..00000000 --- a/metadata/Acord25__25__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} diff --git a/metadata/Acord25__26__metadata.json b/metadata/Acord25__26__metadata.json deleted file mode 100644 index 9e92a97d..00000000 --- a/metadata/Acord25__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} diff --git a/metadata/Acord25__27__metadata.json b/metadata/Acord25__27__metadata.json deleted file mode 100644 index 82f03ddb..00000000 --- a/metadata/Acord25__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} diff --git a/metadata/Acord25__28__metadata.json b/metadata/Acord25__28__metadata.json deleted file mode 100644 index 1bac5af7..00000000 --- a/metadata/Acord25__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} diff --git a/metadata/Acord25__29__metadata.json b/metadata/Acord25__29__metadata.json index 288eff90..bc997284 100644 --- a/metadata/Acord25__29__metadata.json +++ b/metadata/Acord25__29__metadata.json @@ -30,4 +30,4 @@ "value": "acord25" } ] -} +} \ No newline at end of file diff --git a/metadata/Acord25__2__metadata.json b/metadata/Acord25__2__metadata.json deleted file mode 100644 index d1e3af53..00000000 --- a/metadata/Acord25__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} diff --git a/metadata/Acord25__30__metadata.json b/metadata/Acord25__30__metadata.json index 253f7fac..8974218b 100644 --- a/metadata/Acord25__30__metadata.json +++ b/metadata/Acord25__30__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "acord25" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/Acord25__31__metadata.json b/metadata/Acord25__31__metadata.json index 36d001be..c57c21c0 100644 --- a/metadata/Acord25__31__metadata.json +++ b/metadata/Acord25__31__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "acord25" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Acord25__3__metadata.json b/metadata/Acord25__3__metadata.json deleted file mode 100644 index 52dd6265..00000000 --- a/metadata/Acord25__3__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/Acord25__7__metadata.json b/metadata/Acord25__7__metadata.json deleted file mode 100644 index 9981baee..00000000 --- a/metadata/Acord25__7__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/Acord25__8__metadata.json b/metadata/Acord25__8__metadata.json deleted file mode 100644 index 3285a3f7..00000000 --- a/metadata/Acord25__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/Acord25__9__metadata.json b/metadata/Acord25__9__metadata.json deleted file mode 100644 index d10fe4a1..00000000 --- a/metadata/Acord25__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Acord25", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Acord25", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "acord25" - } - ] -} - diff --git a/metadata/AustralianInvoices__10__metadata.json b/metadata/AustralianInvoices__10__metadata.json index 4822f436..18d50274 100644 --- a/metadata/AustralianInvoices__10__metadata.json +++ b/metadata/AustralianInvoices__10__metadata.json @@ -1,25 +1,26 @@ { - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. 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Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/AustralianInvoices/22.4.1/invoices_au_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/AustralianInvoices__11__metadata.json b/metadata/AustralianInvoices__11__metadata.json deleted file mode 100644 index 0b1dc615..00000000 --- a/metadata/AustralianInvoices__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} - diff --git a/metadata/AustralianInvoices__20__metadata.json b/metadata/AustralianInvoices__20__metadata.json deleted file mode 100644 index 64d0af66..00000000 --- a/metadata/AustralianInvoices__20__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} - diff --git a/metadata/AustralianInvoices__25__metadata.json b/metadata/AustralianInvoices__25__metadata.json deleted file mode 100644 index e8fb0ef3..00000000 --- a/metadata/AustralianInvoices__25__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} - diff --git a/metadata/AustralianInvoices__27__metadata.json b/metadata/AustralianInvoices__27__metadata.json deleted file mode 100644 index 167c526a..00000000 --- a/metadata/AustralianInvoices__27__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} - diff --git a/metadata/AustralianInvoices__28__metadata.json b/metadata/AustralianInvoices__28__metadata.json deleted file mode 100644 index c1736912..00000000 --- a/metadata/AustralianInvoices__28__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} - diff --git a/metadata/AustralianInvoices__29__metadata.json b/metadata/AustralianInvoices__29__metadata.json index cb3e51bf..885ebe7d 100644 --- a/metadata/AustralianInvoices__29__metadata.json +++ b/metadata/AustralianInvoices__29__metadata.json @@ -1,33 +1,34 @@ { - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/AustralianInvoices__30__metadata.json b/metadata/AustralianInvoices__30__metadata.json deleted file mode 100644 index 1792c34c..00000000 --- a/metadata/AustralianInvoices__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} diff --git a/metadata/AustralianInvoices__31__metadata.json b/metadata/AustralianInvoices__31__metadata.json deleted file mode 100644 index 15ae55ed..00000000 --- a/metadata/AustralianInvoices__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_au" - } - ] -} diff --git a/metadata/AustralianInvoices__32__metadata.json b/metadata/AustralianInvoices__32__metadata.json index d92a440c..e15a3641 100644 --- a/metadata/AustralianInvoices__32__metadata.json +++ b/metadata/AustralianInvoices__32__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_au" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/AustralianInvoices__7__metadata.json b/metadata/AustralianInvoices__7__metadata.json deleted file mode 100644 index 75f07ae7..00000000 --- a/metadata/AustralianInvoices__7__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.6", - "cpu": 0, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 7, - "contentUri": "https:///publicmodels/AIC/AustralianInvoices/7/invoices_au_package.zip" -} diff --git a/metadata/AustralianInvoices__8__metadata.json b/metadata/AustralianInvoices__8__metadata.json deleted file mode 100644 index 895c9fe3..00000000 --- a/metadata/AustralianInvoices__8__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 8, - "contentUri": "https:///publicmodels/AIC/AustralianInvoices/21.10.10/invoices_au_package.zip" -} diff --git a/metadata/AustralianInvoices__9__metadata.json b/metadata/AustralianInvoices__9__metadata.json deleted file mode 100644 index 8aa420a0..00000000 --- a/metadata/AustralianInvoices__9__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "AustralianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "AustralianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 9, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/AustralianInvoices/22.4.0/invoices_au_package.zip" -} diff --git a/metadata/BankStatements__10__metadata.json b/metadata/BankStatements__10__metadata.json deleted file mode 100644 index 77068fde..00000000 --- a/metadata/BankStatements__10__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__11__metadata.json b/metadata/BankStatements__11__metadata.json deleted file mode 100644 index df2f27ce..00000000 --- a/metadata/BankStatements__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__12__metadata.json b/metadata/BankStatements__12__metadata.json deleted file mode 100644 index 79dd0ac7..00000000 --- a/metadata/BankStatements__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__13__metadata.json b/metadata/BankStatements__13__metadata.json deleted file mode 100644 index 8b8bb2de..00000000 --- a/metadata/BankStatements__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__14__metadata.json b/metadata/BankStatements__14__metadata.json deleted file mode 100644 index 80205402..00000000 --- a/metadata/BankStatements__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__15__metadata.json b/metadata/BankStatements__15__metadata.json deleted file mode 100644 index b3f39e94..00000000 --- a/metadata/BankStatements__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__16__metadata.json b/metadata/BankStatements__16__metadata.json deleted file mode 100644 index 2bf2acdd..00000000 --- a/metadata/BankStatements__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__17__metadata.json b/metadata/BankStatements__17__metadata.json deleted file mode 100644 index 1e595437..00000000 --- a/metadata/BankStatements__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__18__metadata.json b/metadata/BankStatements__18__metadata.json deleted file mode 100644 index a7fb6036..00000000 --- a/metadata/BankStatements__18__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__19__metadata.json b/metadata/BankStatements__19__metadata.json deleted file mode 100644 index 90f78c3b..00000000 --- a/metadata/BankStatements__19__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__1__metadata.json b/metadata/BankStatements__1__metadata.json deleted file mode 100644 index 773b3547..00000000 --- a/metadata/BankStatements__1__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__20__metadata.json b/metadata/BankStatements__20__metadata.json deleted file mode 100644 index 9dc92934..00000000 --- a/metadata/BankStatements__20__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__21__metadata.json b/metadata/BankStatements__21__metadata.json deleted file mode 100644 index 073995e8..00000000 --- a/metadata/BankStatements__21__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__22__metadata.json b/metadata/BankStatements__22__metadata.json deleted file mode 100644 index 6f1595e9..00000000 --- a/metadata/BankStatements__22__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__23__metadata.json b/metadata/BankStatements__23__metadata.json index e92298ae..f66d9e00 100644 --- a/metadata/BankStatements__23__metadata.json +++ b/metadata/BankStatements__23__metadata.json @@ -1,32 +1,33 @@ { - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/BankStatements__24__metadata.json b/metadata/BankStatements__24__metadata.json deleted file mode 100644 index c1818caf..00000000 --- a/metadata/BankStatements__24__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__25__metadata.json b/metadata/BankStatements__25__metadata.json deleted file mode 100644 index 35f14635..00000000 --- a/metadata/BankStatements__25__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__26__metadata.json b/metadata/BankStatements__26__metadata.json deleted file mode 100644 index 4a471f54..00000000 --- a/metadata/BankStatements__26__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__27__metadata.json b/metadata/BankStatements__27__metadata.json deleted file mode 100644 index 835276d2..00000000 --- a/metadata/BankStatements__27__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__28__metadata.json b/metadata/BankStatements__28__metadata.json deleted file mode 100644 index 81525008..00000000 --- a/metadata/BankStatements__28__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__29__metadata.json b/metadata/BankStatements__29__metadata.json index c668582d..52f69a9f 100644 --- a/metadata/BankStatements__29__metadata.json +++ b/metadata/BankStatements__29__metadata.json @@ -29,4 +29,4 @@ "value": "bank_statements" } ] -} +} \ No newline at end of file diff --git a/metadata/BankStatements__2__metadata.json b/metadata/BankStatements__2__metadata.json deleted file mode 100644 index 3fecd0e0..00000000 --- a/metadata/BankStatements__2__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__30__metadata.json b/metadata/BankStatements__30__metadata.json index c08f62d1..c5e82694 100644 --- a/metadata/BankStatements__30__metadata.json +++ b/metadata/BankStatements__30__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "bank_statements" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/BankStatements__31__metadata.json b/metadata/BankStatements__31__metadata.json index f47c4d98..0c33adfc 100644 --- a/metadata/BankStatements__31__metadata.json +++ b/metadata/BankStatements__31__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "bank_statements" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/BankStatements__3__metadata.json b/metadata/BankStatements__3__metadata.json deleted file mode 100644 index e3022a34..00000000 --- a/metadata/BankStatements__3__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__4__metadata.json b/metadata/BankStatements__4__metadata.json deleted file mode 100644 index 73675762..00000000 --- a/metadata/BankStatements__4__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} diff --git a/metadata/BankStatements__5__metadata.json b/metadata/BankStatements__5__metadata.json deleted file mode 100644 index 70c26069..00000000 --- a/metadata/BankStatements__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__6__metadata.json b/metadata/BankStatements__6__metadata.json deleted file mode 100644 index 8055f70b..00000000 --- a/metadata/BankStatements__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__7__metadata.json b/metadata/BankStatements__7__metadata.json deleted file mode 100644 index 3f0b7d9f..00000000 --- a/metadata/BankStatements__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__8__metadata.json b/metadata/BankStatements__8__metadata.json deleted file mode 100644 index 9428230c..00000000 --- a/metadata/BankStatements__8__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BankStatements__9__metadata.json b/metadata/BankStatements__9__metadata.json deleted file mode 100644 index 0422a9f7..00000000 --- a/metadata/BankStatements__9__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BankStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BankStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bank_statements" - } - ] -} - diff --git a/metadata/BillsOfLading__10__metadata.json b/metadata/BillsOfLading__10__metadata.json deleted file mode 100644 index 0cc6878b..00000000 --- a/metadata/BillsOfLading__10__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__11__metadata.json b/metadata/BillsOfLading__11__metadata.json deleted file mode 100644 index 44ce6d9b..00000000 --- a/metadata/BillsOfLading__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__12__metadata.json b/metadata/BillsOfLading__12__metadata.json deleted file mode 100644 index e85e3267..00000000 --- a/metadata/BillsOfLading__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__13__metadata.json b/metadata/BillsOfLading__13__metadata.json deleted file mode 100644 index 9a199f12..00000000 --- a/metadata/BillsOfLading__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__14__metadata.json b/metadata/BillsOfLading__14__metadata.json deleted file mode 100644 index ca97aab5..00000000 --- a/metadata/BillsOfLading__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__15__metadata.json b/metadata/BillsOfLading__15__metadata.json deleted file mode 100644 index 3a23feff..00000000 --- a/metadata/BillsOfLading__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__16__metadata.json b/metadata/BillsOfLading__16__metadata.json deleted file mode 100644 index 5beccd01..00000000 --- a/metadata/BillsOfLading__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__17__metadata.json b/metadata/BillsOfLading__17__metadata.json deleted file mode 100644 index ea352b56..00000000 --- a/metadata/BillsOfLading__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__18__metadata.json b/metadata/BillsOfLading__18__metadata.json deleted file mode 100644 index ec6039f2..00000000 --- a/metadata/BillsOfLading__18__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__19__metadata.json b/metadata/BillsOfLading__19__metadata.json deleted file mode 100644 index 1d6542f3..00000000 --- a/metadata/BillsOfLading__19__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__1__metadata.json b/metadata/BillsOfLading__1__metadata.json deleted file mode 100644 index 6c1af8b5..00000000 --- a/metadata/BillsOfLading__1__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__20__metadata.json b/metadata/BillsOfLading__20__metadata.json deleted file mode 100644 index dad75907..00000000 --- a/metadata/BillsOfLading__20__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__21__metadata.json b/metadata/BillsOfLading__21__metadata.json deleted file mode 100644 index cc5d2671..00000000 --- a/metadata/BillsOfLading__21__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__22__metadata.json b/metadata/BillsOfLading__22__metadata.json deleted file mode 100644 index f3fec96e..00000000 --- a/metadata/BillsOfLading__22__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__23__metadata.json b/metadata/BillsOfLading__23__metadata.json index 596800a6..f02f118c 100644 --- a/metadata/BillsOfLading__23__metadata.json +++ b/metadata/BillsOfLading__23__metadata.json @@ -1,32 +1,33 @@ { - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/BillsOfLading__24__metadata.json b/metadata/BillsOfLading__24__metadata.json deleted file mode 100644 index abdffbee..00000000 --- a/metadata/BillsOfLading__24__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__25__metadata.json b/metadata/BillsOfLading__25__metadata.json deleted file mode 100644 index c44b37d5..00000000 --- a/metadata/BillsOfLading__25__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__26__metadata.json b/metadata/BillsOfLading__26__metadata.json deleted file mode 100644 index e4c7e715..00000000 --- a/metadata/BillsOfLading__26__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__27__metadata.json b/metadata/BillsOfLading__27__metadata.json deleted file mode 100644 index 73753d4b..00000000 --- a/metadata/BillsOfLading__27__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__28__metadata.json b/metadata/BillsOfLading__28__metadata.json deleted file mode 100644 index 865d717a..00000000 --- a/metadata/BillsOfLading__28__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__29__metadata.json b/metadata/BillsOfLading__29__metadata.json index 204877a0..302d64c9 100644 --- a/metadata/BillsOfLading__29__metadata.json +++ b/metadata/BillsOfLading__29__metadata.json @@ -29,4 +29,4 @@ "value": "bills_of_lading" } ] -} +} \ No newline at end of file diff --git a/metadata/BillsOfLading__2__metadata.json b/metadata/BillsOfLading__2__metadata.json deleted file mode 100644 index 64724c4e..00000000 --- a/metadata/BillsOfLading__2__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__30__metadata.json b/metadata/BillsOfLading__30__metadata.json index bbeabff8..316a58bc 100644 --- a/metadata/BillsOfLading__30__metadata.json +++ b/metadata/BillsOfLading__30__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "bills_of_lading" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/BillsOfLading__31__metadata.json b/metadata/BillsOfLading__31__metadata.json index 66ccfebe..27a0c452 100644 --- a/metadata/BillsOfLading__31__metadata.json +++ b/metadata/BillsOfLading__31__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "bills_of_lading" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/BillsOfLading__3__metadata.json b/metadata/BillsOfLading__3__metadata.json deleted file mode 100644 index 319d39f6..00000000 --- a/metadata/BillsOfLading__3__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__4__metadata.json b/metadata/BillsOfLading__4__metadata.json deleted file mode 100644 index fe8d65d1..00000000 --- a/metadata/BillsOfLading__4__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} diff --git a/metadata/BillsOfLading__5__metadata.json b/metadata/BillsOfLading__5__metadata.json deleted file mode 100644 index 727e64ed..00000000 --- a/metadata/BillsOfLading__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__6__metadata.json b/metadata/BillsOfLading__6__metadata.json deleted file mode 100644 index b2d9ffd9..00000000 --- a/metadata/BillsOfLading__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__7__metadata.json b/metadata/BillsOfLading__7__metadata.json deleted file mode 100644 index bf842227..00000000 --- a/metadata/BillsOfLading__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__8__metadata.json b/metadata/BillsOfLading__8__metadata.json deleted file mode 100644 index bf74f942..00000000 --- a/metadata/BillsOfLading__8__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/BillsOfLading__9__metadata.json b/metadata/BillsOfLading__9__metadata.json deleted file mode 100644 index 1cc7eba5..00000000 --- a/metadata/BillsOfLading__9__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "BillsOfLading", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "BillsOfLading", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "bills_of_lading" - } - ] -} - diff --git a/metadata/CMS1500__10__metadata.json b/metadata/CMS1500__10__metadata.json deleted file mode 100644 index 4c146f2b..00000000 --- a/metadata/CMS1500__10__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} - diff --git a/metadata/CMS1500__11__metadata.json b/metadata/CMS1500__11__metadata.json deleted file mode 100644 index c1819cb8..00000000 --- a/metadata/CMS1500__11__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} - diff --git a/metadata/CMS1500__12__metadata.json b/metadata/CMS1500__12__metadata.json deleted file mode 100644 index ea116172..00000000 --- a/metadata/CMS1500__12__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} - diff --git a/metadata/CMS1500__13__metadata.json b/metadata/CMS1500__13__metadata.json deleted file mode 100644 index eb20d8a7..00000000 --- a/metadata/CMS1500__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} diff --git a/metadata/CMS1500__14__metadata.json b/metadata/CMS1500__14__metadata.json deleted file mode 100644 index b85616cf..00000000 --- a/metadata/CMS1500__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} diff --git a/metadata/CMS1500__15__metadata.json b/metadata/CMS1500__15__metadata.json deleted file mode 100644 index 35c90a68..00000000 --- a/metadata/CMS1500__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} diff --git a/metadata/CMS1500__16__metadata.json b/metadata/CMS1500__16__metadata.json deleted file mode 100644 index de7934ec..00000000 --- a/metadata/CMS1500__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} diff --git a/metadata/CMS1500__17__metadata.json b/metadata/CMS1500__17__metadata.json deleted file mode 100644 index b49f0aec..00000000 --- a/metadata/CMS1500__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} diff --git a/metadata/CMS1500__18__metadata.json b/metadata/CMS1500__18__metadata.json index e454fde1..3cd6dd37 100644 --- a/metadata/CMS1500__18__metadata.json +++ b/metadata/CMS1500__18__metadata.json @@ -30,4 +30,4 @@ "value": "cms1500" } ] -} +} \ No newline at end of file diff --git a/metadata/CMS1500__19__metadata.json b/metadata/CMS1500__19__metadata.json index 66620ae9..ccfc5ec8 100644 --- a/metadata/CMS1500__19__metadata.json +++ b/metadata/CMS1500__19__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "cms1500" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/CMS1500__1__metadata.json b/metadata/CMS1500__1__metadata.json deleted file mode 100644 index 405e2a82..00000000 --- a/metadata/CMS1500__1__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} diff --git a/metadata/CMS1500__20__metadata.json b/metadata/CMS1500__20__metadata.json index 23c5e726..ab4f5b06 100644 --- a/metadata/CMS1500__20__metadata.json +++ b/metadata/CMS1500__20__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "cms1500" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/CMS1500__2__metadata.json b/metadata/CMS1500__2__metadata.json deleted file mode 100644 index 1da89b98..00000000 --- a/metadata/CMS1500__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} - diff --git a/metadata/CMS1500__3__metadata.json b/metadata/CMS1500__3__metadata.json deleted file mode 100644 index b34f07f5..00000000 --- a/metadata/CMS1500__3__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} - diff --git a/metadata/CMS1500__4__metadata.json b/metadata/CMS1500__4__metadata.json deleted file mode 100644 index 1a2ab2b5..00000000 --- a/metadata/CMS1500__4__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} - diff --git a/metadata/CMS1500__5__metadata.json b/metadata/CMS1500__5__metadata.json deleted file mode 100644 index 1774c9b6..00000000 --- a/metadata/CMS1500__5__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CMS1500", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "cms1500" - } - ] -} - diff --git a/metadata/CMS1500__6__metadata.json b/metadata/CMS1500__6__metadata.json deleted file mode 100644 index 43c13055..00000000 --- a/metadata/CMS1500__6__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CMS1500", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfIncorporation", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_incorporation" - } - ] -} diff --git a/metadata/CertificatesOfIncorporation__18__metadata.json b/metadata/CertificatesOfIncorporation__18__metadata.json index bb34201a..530997c1 100644 --- a/metadata/CertificatesOfIncorporation__18__metadata.json +++ b/metadata/CertificatesOfIncorporation__18__metadata.json @@ -30,4 +30,4 @@ "value": "certificates_incorporation" } ] -} +} \ No newline at end of file diff --git a/metadata/CertificatesOfIncorporation__19__metadata.json b/metadata/CertificatesOfIncorporation__19__metadata.json index 9cb4e800..417d6157 100644 --- a/metadata/CertificatesOfIncorporation__19__metadata.json +++ b/metadata/CertificatesOfIncorporation__19__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "certificates_incorporation" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/CertificatesOfIncorporation__1__metadata.json b/metadata/CertificatesOfIncorporation__1__metadata.json deleted file mode 100644 index b8a53032..00000000 --- a/metadata/CertificatesOfIncorporation__1__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CertificatesOfIncorporation", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfIncorporation", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_incorporation" - } - ] -} diff --git a/metadata/CertificatesOfIncorporation__20__metadata.json b/metadata/CertificatesOfIncorporation__20__metadata.json index 7652dd84..435a8009 100644 --- a/metadata/CertificatesOfIncorporation__20__metadata.json +++ b/metadata/CertificatesOfIncorporation__20__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "certificates_incorporation" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/CertificatesOfIncorporation__2__metadata.json b/metadata/CertificatesOfIncorporation__2__metadata.json deleted file mode 100644 index 5d2507e8..00000000 --- a/metadata/CertificatesOfIncorporation__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CertificatesOfIncorporation", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. 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See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} - diff --git a/metadata/CertificatesOfOrigin__13__metadata.json b/metadata/CertificatesOfOrigin__13__metadata.json deleted file mode 100644 index 2035a325..00000000 --- a/metadata/CertificatesOfOrigin__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} diff --git a/metadata/CertificatesOfOrigin__14__metadata.json b/metadata/CertificatesOfOrigin__14__metadata.json deleted file mode 100644 index 00cd47e9..00000000 --- a/metadata/CertificatesOfOrigin__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} diff --git a/metadata/CertificatesOfOrigin__15__metadata.json b/metadata/CertificatesOfOrigin__15__metadata.json deleted file mode 100644 index b64bd000..00000000 --- a/metadata/CertificatesOfOrigin__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} diff --git a/metadata/CertificatesOfOrigin__16__metadata.json b/metadata/CertificatesOfOrigin__16__metadata.json deleted file mode 100644 index 4da6938d..00000000 --- a/metadata/CertificatesOfOrigin__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} diff --git a/metadata/CertificatesOfOrigin__17__metadata.json b/metadata/CertificatesOfOrigin__17__metadata.json deleted file mode 100644 index 2fc53faa..00000000 --- a/metadata/CertificatesOfOrigin__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} diff --git a/metadata/CertificatesOfOrigin__18__metadata.json b/metadata/CertificatesOfOrigin__18__metadata.json index d4d37ea4..d6cf6d09 100644 --- a/metadata/CertificatesOfOrigin__18__metadata.json +++ b/metadata/CertificatesOfOrigin__18__metadata.json @@ -30,4 +30,4 @@ "value": "certificates_origin" } ] -} +} \ No newline at end of file diff --git a/metadata/CertificatesOfOrigin__19__metadata.json b/metadata/CertificatesOfOrigin__19__metadata.json index a26b36ff..94a0536e 100644 --- a/metadata/CertificatesOfOrigin__19__metadata.json +++ b/metadata/CertificatesOfOrigin__19__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "certificates_origin" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/CertificatesOfOrigin__1__metadata.json b/metadata/CertificatesOfOrigin__1__metadata.json deleted file mode 100644 index 2be6977c..00000000 --- a/metadata/CertificatesOfOrigin__1__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} diff --git a/metadata/CertificatesOfOrigin__20__metadata.json b/metadata/CertificatesOfOrigin__20__metadata.json index 22fbe3d8..74364b2d 100644 --- a/metadata/CertificatesOfOrigin__20__metadata.json +++ b/metadata/CertificatesOfOrigin__20__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "certificates_origin" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/CertificatesOfOrigin__2__metadata.json b/metadata/CertificatesOfOrigin__2__metadata.json deleted file mode 100644 index 9095cce6..00000000 --- a/metadata/CertificatesOfOrigin__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} - diff --git a/metadata/CertificatesOfOrigin__3__metadata.json b/metadata/CertificatesOfOrigin__3__metadata.json deleted file mode 100644 index cffdafe6..00000000 --- a/metadata/CertificatesOfOrigin__3__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} - diff --git a/metadata/CertificatesOfOrigin__6__metadata.json b/metadata/CertificatesOfOrigin__6__metadata.json deleted file mode 100644 index c48598d7..00000000 --- a/metadata/CertificatesOfOrigin__6__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} - diff --git a/metadata/CertificatesOfOrigin__7__metadata.json b/metadata/CertificatesOfOrigin__7__metadata.json deleted file mode 100644 index 76599dca..00000000 --- a/metadata/CertificatesOfOrigin__7__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} - diff --git a/metadata/CertificatesOfOrigin__8__metadata.json b/metadata/CertificatesOfOrigin__8__metadata.json deleted file mode 100644 index 705633e1..00000000 --- a/metadata/CertificatesOfOrigin__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} - diff --git a/metadata/CertificatesOfOrigin__9__metadata.json b/metadata/CertificatesOfOrigin__9__metadata.json deleted file mode 100644 index 169b9a82..00000000 --- a/metadata/CertificatesOfOrigin__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "CertificatesOfOrigin", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "CertificatesOfOrigin", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "certificates_origin" - } - ] -} - diff --git a/metadata/Checks__10__metadata.json b/metadata/Checks__10__metadata.json deleted file mode 100644 index f7bb1f1e..00000000 --- a/metadata/Checks__10__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__11__metadata.json b/metadata/Checks__11__metadata.json deleted file mode 100644 index 28cd1fff..00000000 --- a/metadata/Checks__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__12__metadata.json b/metadata/Checks__12__metadata.json deleted file mode 100644 index d93b7efc..00000000 --- a/metadata/Checks__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__13__metadata.json b/metadata/Checks__13__metadata.json deleted file mode 100644 index 80b509f6..00000000 --- a/metadata/Checks__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__14__metadata.json b/metadata/Checks__14__metadata.json deleted file mode 100644 index 2c80fd6d..00000000 --- a/metadata/Checks__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__15__metadata.json b/metadata/Checks__15__metadata.json deleted file mode 100644 index cdf3ea99..00000000 --- a/metadata/Checks__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__16__metadata.json b/metadata/Checks__16__metadata.json deleted file mode 100644 index 6343b03f..00000000 --- a/metadata/Checks__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__17__metadata.json b/metadata/Checks__17__metadata.json deleted file mode 100644 index 5c1f93d9..00000000 --- a/metadata/Checks__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__18__metadata.json b/metadata/Checks__18__metadata.json deleted file mode 100644 index 3b24d11d..00000000 --- a/metadata/Checks__18__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__19__metadata.json b/metadata/Checks__19__metadata.json deleted file mode 100644 index 0148428a..00000000 --- a/metadata/Checks__19__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__1__metadata.json b/metadata/Checks__1__metadata.json deleted file mode 100644 index 79224a2d..00000000 --- a/metadata/Checks__1__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__20__metadata.json b/metadata/Checks__20__metadata.json deleted file mode 100644 index 8224ad26..00000000 --- a/metadata/Checks__20__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__21__metadata.json b/metadata/Checks__21__metadata.json deleted file mode 100644 index 1f3eab71..00000000 --- a/metadata/Checks__21__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__22__metadata.json b/metadata/Checks__22__metadata.json deleted file mode 100644 index 1482be24..00000000 --- a/metadata/Checks__22__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__23__metadata.json b/metadata/Checks__23__metadata.json index 47cbedc0..c503c846 100644 --- a/metadata/Checks__23__metadata.json +++ b/metadata/Checks__23__metadata.json @@ -1,32 +1,33 @@ { - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/Checks__24__metadata.json b/metadata/Checks__24__metadata.json deleted file mode 100644 index 2f855f79..00000000 --- a/metadata/Checks__24__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__25__metadata.json b/metadata/Checks__25__metadata.json deleted file mode 100644 index 9838240c..00000000 --- a/metadata/Checks__25__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__26__metadata.json b/metadata/Checks__26__metadata.json deleted file mode 100644 index 5c736db7..00000000 --- a/metadata/Checks__26__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__27__metadata.json b/metadata/Checks__27__metadata.json deleted file mode 100644 index 0c731a17..00000000 --- a/metadata/Checks__27__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__28__metadata.json b/metadata/Checks__28__metadata.json deleted file mode 100644 index 1979a304..00000000 --- a/metadata/Checks__28__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__29__metadata.json b/metadata/Checks__29__metadata.json index 57b50055..ebad510a 100644 --- a/metadata/Checks__29__metadata.json +++ b/metadata/Checks__29__metadata.json @@ -29,4 +29,4 @@ "value": "checks" } ] -} +} \ No newline at end of file diff --git a/metadata/Checks__2__metadata.json b/metadata/Checks__2__metadata.json deleted file mode 100644 index 4d27d8d8..00000000 --- a/metadata/Checks__2__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__30__metadata.json b/metadata/Checks__30__metadata.json index 5a1d8bb9..535422b3 100644 --- a/metadata/Checks__30__metadata.json +++ b/metadata/Checks__30__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "checks" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/Checks__31__metadata.json b/metadata/Checks__31__metadata.json index 043e0503..96231144 100644 --- a/metadata/Checks__31__metadata.json +++ b/metadata/Checks__31__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "checks" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Checks__3__metadata.json b/metadata/Checks__3__metadata.json deleted file mode 100644 index 37c09400..00000000 --- a/metadata/Checks__3__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__4__metadata.json b/metadata/Checks__4__metadata.json deleted file mode 100644 index 83c350f6..00000000 --- a/metadata/Checks__4__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} diff --git a/metadata/Checks__5__metadata.json b/metadata/Checks__5__metadata.json deleted file mode 100644 index dec98fe2..00000000 --- a/metadata/Checks__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__6__metadata.json b/metadata/Checks__6__metadata.json deleted file mode 100644 index 94b42654..00000000 --- a/metadata/Checks__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__7__metadata.json b/metadata/Checks__7__metadata.json deleted file mode 100644 index 4e332663..00000000 --- a/metadata/Checks__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__8__metadata.json b/metadata/Checks__8__metadata.json deleted file mode 100644 index 4d047523..00000000 --- a/metadata/Checks__8__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/Checks__9__metadata.json b/metadata/Checks__9__metadata.json deleted file mode 100644 index ac5a33f0..00000000 --- a/metadata/Checks__9__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Checks", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Checks", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "checks" - } - ] -} - diff --git a/metadata/ChildrenProductCertificates__10__metadata.json b/metadata/ChildrenProductCertificates__10__metadata.json deleted file mode 100644 index e50a2062..00000000 --- a/metadata/ChildrenProductCertificates__10__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "ChildrenProductCertificates", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "ChildrenProductCertificates", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "children_product_certificates" - } - ] -} - diff --git a/metadata/ChildrenProductCertificates__11__metadata.json b/metadata/ChildrenProductCertificates__11__metadata.json deleted file mode 100644 index 43ce4a03..00000000 --- a/metadata/ChildrenProductCertificates__11__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "ChildrenProductCertificates", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "ChildrenProductCertificates", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "children_product_certificates" - } - ] -} - diff --git a/metadata/ChildrenProductCertificates__12__metadata.json b/metadata/ChildrenProductCertificates__12__metadata.json deleted file mode 100644 index ec18057b..00000000 --- a/metadata/ChildrenProductCertificates__12__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "ChildrenProductCertificates", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "ChildrenProductCertificates", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "children_product_certificates" - } - ] -} - diff --git a/metadata/ChildrenProductCertificates__6__metadata.json b/metadata/ChildrenProductCertificates__6__metadata.json deleted file mode 100644 index 0d7288b8..00000000 --- a/metadata/ChildrenProductCertificates__6__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "ChildrenProductCertificates", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "ChildrenProductCertificates", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "children_product_certificates" - } - ] -} - diff --git a/metadata/ChildrenProductCertificates__7__metadata.json b/metadata/ChildrenProductCertificates__7__metadata.json deleted file mode 100644 index edf2ebc6..00000000 --- a/metadata/ChildrenProductCertificates__7__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "ChildrenProductCertificates", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "ChildrenProductCertificates", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "children_product_certificates" - } - ] -} - diff --git a/metadata/ChildrenProductCertificates__8__metadata.json b/metadata/ChildrenProductCertificates__8__metadata.json deleted file mode 100644 index 9f025cc3..00000000 --- a/metadata/ChildrenProductCertificates__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "ChildrenProductCertificates", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "ChildrenProductCertificates", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "children_product_certificates" - } - ] -} - diff --git a/metadata/ChildrenProductCertificates__9__metadata.json b/metadata/ChildrenProductCertificates__9__metadata.json deleted file mode 100644 index 20600ff1..00000000 --- a/metadata/ChildrenProductCertificates__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "ChildrenProductCertificates", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "ChildrenProductCertificates", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "children_product_certificates" - } - ] -} - diff --git a/metadata/CustomNamedEntityRecognition__10__metadata.json b/metadata/CustomNamedEntityRecognition__10__metadata.json index 64603460..44925610 100644 --- a/metadata/CustomNamedEntityRecognition__10__metadata.json +++ b/metadata/CustomNamedEntityRecognition__10__metadata.json @@ -1,23 +1,23 @@ { - "name": "CustomNamedEntityRecognition", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", - "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", - "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", - "changeLog": "model 22.6.0", - "cpu": 1, - "inputType": "JSON", - "displayName": "CustomNamedEntityRecognition", - "memory": 0, - "mlPackageLanguage": "PYTHON38", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Language Analysis", - "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", - "tenantName": "UiPath", - "minAIFabricVersion": "v22.4", - "version": 10, - "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/10/ner_package.zip" -} + "name": "CustomNamedEntityRecognition", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", + "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", + "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "CustomNamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 10, + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/10/ner_package.zip" +} \ No newline at end of file diff --git a/metadata/CustomNamedEntityRecognition__8__metadata.json b/metadata/CustomNamedEntityRecognition__8__metadata.json index 87e85b67..64be98d1 100644 --- a/metadata/CustomNamedEntityRecognition__8__metadata.json +++ b/metadata/CustomNamedEntityRecognition__8__metadata.json @@ -1,23 +1,23 @@ { - "name": "CustomNamedEntityRecognition", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", - "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", - "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", - "changeLog": "model 22.4.0", - "cpu": 1, - "inputType": "JSON", - "displayName": "CustomNamedEntityRecognition", - "memory": 0, - "mlPackageLanguage": "PYTHON38", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Language Analysis", - "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", - "tenantName": "UiPath", - "minAIFabricVersion": "v22.4", - "version": 8, - "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/8/ner_package.zip" -} + "name": "CustomNamedEntityRecognition", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", + "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", + "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", + "changeLog": "model 22.4.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "CustomNamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 8, + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/8/ner_package.zip" +} \ No newline at end of file diff --git a/metadata/CustomNamedEntityRecognition__9__metadata.json b/metadata/CustomNamedEntityRecognition__9__metadata.json index daa66568..0472e9e1 100644 --- a/metadata/CustomNamedEntityRecognition__9__metadata.json +++ b/metadata/CustomNamedEntityRecognition__9__metadata.json @@ -1,23 +1,23 @@ { - "name": "CustomNamedEntityRecognition", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", - "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", - "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", - "changeLog": "model 22.6.0", - "cpu": 1, - "inputType": "JSON", - "displayName": "CustomNamedEntityRecognition", - "memory": 0, - "mlPackageLanguage": "PYTHON38", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Language Analysis", - "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", - "tenantName": "UiPath", - "minAIFabricVersion": "v22.4", - "version": 9, - "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/9/ner_package.zip" -} + "name": "CustomNamedEntityRecognition", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", + "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", + "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "CustomNamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 9, + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/9/ner_package.zip" +} \ No newline at end of file diff --git a/metadata/DeliveryNotes__1__metadata.json b/metadata/DeliveryNotes__1__metadata.json deleted file mode 100644 index e12d4ecd..00000000 --- a/metadata/DeliveryNotes__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "DeliveryNotes", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "DeliveryNotes", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 1, - "contentUri": "https:///publicmodels/AIC/DeliveryNotes/21.10.10/delivery_notes_package.zip" -} diff --git a/metadata/DeliveryNotes__2__metadata.json b/metadata/DeliveryNotes__2__metadata.json deleted file mode 100644 index c75f8f0a..00000000 --- a/metadata/DeliveryNotes__2__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "DeliveryNotes", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "DeliveryNotes", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 2, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/DeliveryNotes/22.4.0/delivery_notes_package.zip" -} diff --git a/metadata/DeliveryNotes__3__metadata.json b/metadata/DeliveryNotes__3__metadata.json index b3786de2..0db642d3 100644 --- a/metadata/DeliveryNotes__3__metadata.json +++ b/metadata/DeliveryNotes__3__metadata.json @@ -1,25 +1,26 @@ { - "name": "DeliveryNotes", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "DeliveryNotes", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 3, - "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/DeliveryNotes/22.4.1/delivery_notes_package.zip" -} + "name": "DeliveryNotes", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Delivery Notes, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DeliveryNotes", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/DeliveryNotes/22.4.1/delivery_notes_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/DocumentClassifier__10__metadata.json b/metadata/DocumentClassifier__10__metadata.json deleted file mode 100644 index 3efbccec..00000000 --- a/metadata/DocumentClassifier__10__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Generic Machine Learning package for document classification. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 36, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "du" - } - ] -} diff --git a/metadata/DocumentUnderstanding__37__metadata.json b/metadata/DocumentUnderstanding__37__metadata.json deleted file mode 100644 index 57698783..00000000 --- a/metadata/DocumentUnderstanding__37__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 37, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "du" - } - ] -} diff --git a/metadata/DocumentUnderstanding__38__metadata.json b/metadata/DocumentUnderstanding__38__metadata.json deleted file mode 100644 index b6555f90..00000000 --- a/metadata/DocumentUnderstanding__38__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 38, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "du" - } - ] -} diff --git a/metadata/DocumentUnderstanding__39__metadata.json b/metadata/DocumentUnderstanding__39__metadata.json deleted file mode 100644 index a7ba2b34..00000000 --- a/metadata/DocumentUnderstanding__39__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 39, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "du" - } - ] -} diff --git a/metadata/DocumentUnderstanding__40__metadata.json b/metadata/DocumentUnderstanding__40__metadata.json index 1801ba73..435b95eb 100644 --- a/metadata/DocumentUnderstanding__40__metadata.json +++ b/metadata/DocumentUnderstanding__40__metadata.json @@ -30,4 +30,4 @@ "value": "du" } ] -} +} \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__41__metadata.json b/metadata/DocumentUnderstanding__41__metadata.json index 537035ef..f18d5691 100644 --- a/metadata/DocumentUnderstanding__41__metadata.json +++ b/metadata/DocumentUnderstanding__41__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "du" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__42__metadata.json b/metadata/DocumentUnderstanding__42__metadata.json index c8aea2d9..cd1e415c 100644 --- a/metadata/DocumentUnderstanding__42__metadata.json +++ b/metadata/DocumentUnderstanding__42__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "du" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/DocumentUnderstanding__8__metadata.json b/metadata/DocumentUnderstanding__8__metadata.json deleted file mode 100644 index 94f05e1e..00000000 --- a/metadata/DocumentUnderstanding__8__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.6", - "cpu": 0, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 8, - "contentUri": "https:///publicmodels/AIC/DocumentUnderstanding/8/du_package.zip" -} diff --git a/metadata/DocumentUnderstanding__9__metadata.json b/metadata/DocumentUnderstanding__9__metadata.json deleted file mode 100644 index 4e9a8fd3..00000000 --- a/metadata/DocumentUnderstanding__9__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "DocumentUnderstanding", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "DocumentUnderstanding", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 9, - "contentUri": "https:///publicmodels/AIC/DocumentUnderstanding/21.10.10/du_package.zip" -} diff --git a/metadata/EUDeclarationOfConformity__10__metadata.json b/metadata/EUDeclarationOfConformity__10__metadata.json deleted file mode 100644 index 6eccfdf4..00000000 --- a/metadata/EUDeclarationOfConformity__10__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__11__metadata.json b/metadata/EUDeclarationOfConformity__11__metadata.json deleted file mode 100644 index b3316ff7..00000000 --- a/metadata/EUDeclarationOfConformity__11__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__12__metadata.json b/metadata/EUDeclarationOfConformity__12__metadata.json deleted file mode 100644 index e5e9e981..00000000 --- a/metadata/EUDeclarationOfConformity__12__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__13__metadata.json b/metadata/EUDeclarationOfConformity__13__metadata.json deleted file mode 100644 index dbc1057b..00000000 --- a/metadata/EUDeclarationOfConformity__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} diff --git a/metadata/EUDeclarationOfConformity__14__metadata.json b/metadata/EUDeclarationOfConformity__14__metadata.json deleted file mode 100644 index eb03bf51..00000000 --- a/metadata/EUDeclarationOfConformity__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} diff --git a/metadata/EUDeclarationOfConformity__15__metadata.json b/metadata/EUDeclarationOfConformity__15__metadata.json deleted file mode 100644 index 3c62fd5c..00000000 --- a/metadata/EUDeclarationOfConformity__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} diff --git a/metadata/EUDeclarationOfConformity__16__metadata.json b/metadata/EUDeclarationOfConformity__16__metadata.json deleted file mode 100644 index f1b1de6e..00000000 --- a/metadata/EUDeclarationOfConformity__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} diff --git a/metadata/EUDeclarationOfConformity__17__metadata.json b/metadata/EUDeclarationOfConformity__17__metadata.json deleted file mode 100644 index 34d5105b..00000000 --- a/metadata/EUDeclarationOfConformity__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} diff --git a/metadata/EUDeclarationOfConformity__18__metadata.json b/metadata/EUDeclarationOfConformity__18__metadata.json index 35fd4a72..95795a97 100644 --- a/metadata/EUDeclarationOfConformity__18__metadata.json +++ b/metadata/EUDeclarationOfConformity__18__metadata.json @@ -30,4 +30,4 @@ "value": "eu_declaration_conformity" } ] -} +} \ No newline at end of file diff --git a/metadata/EUDeclarationOfConformity__19__metadata.json b/metadata/EUDeclarationOfConformity__19__metadata.json index d4451e4b..17d2e4c7 100644 --- a/metadata/EUDeclarationOfConformity__19__metadata.json +++ b/metadata/EUDeclarationOfConformity__19__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "eu_declaration_conformity" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/EUDeclarationOfConformity__1__metadata.json b/metadata/EUDeclarationOfConformity__1__metadata.json deleted file mode 100644 index d66460db..00000000 --- a/metadata/EUDeclarationOfConformity__1__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} diff --git a/metadata/EUDeclarationOfConformity__20__metadata.json b/metadata/EUDeclarationOfConformity__20__metadata.json index 83faa28f..fbe1c5de 100644 --- a/metadata/EUDeclarationOfConformity__20__metadata.json +++ b/metadata/EUDeclarationOfConformity__20__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "eu_declaration_conformity" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/EUDeclarationOfConformity__2__metadata.json b/metadata/EUDeclarationOfConformity__2__metadata.json deleted file mode 100644 index bfcc54e4..00000000 --- a/metadata/EUDeclarationOfConformity__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__3__metadata.json b/metadata/EUDeclarationOfConformity__3__metadata.json deleted file mode 100644 index d4fce3fa..00000000 --- a/metadata/EUDeclarationOfConformity__3__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__4__metadata.json b/metadata/EUDeclarationOfConformity__4__metadata.json deleted file mode 100644 index f967d437..00000000 --- a/metadata/EUDeclarationOfConformity__4__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__5__metadata.json b/metadata/EUDeclarationOfConformity__5__metadata.json deleted file mode 100644 index f714ead7..00000000 --- a/metadata/EUDeclarationOfConformity__5__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__8__metadata.json b/metadata/EUDeclarationOfConformity__8__metadata.json deleted file mode 100644 index 6aa4ca4f..00000000 --- a/metadata/EUDeclarationOfConformity__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EUDeclarationOfConformity__9__metadata.json b/metadata/EUDeclarationOfConformity__9__metadata.json deleted file mode 100644 index ad1a978d..00000000 --- a/metadata/EUDeclarationOfConformity__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "EUDeclarationOfConformity", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "EUDeclarationOfConformity", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "eu_declaration_conformity" - } - ] -} - diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json deleted file mode 100644 index 0d9f6704..00000000 --- a/metadata/EnglishTextClassification__2__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "This is a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", - "displayName": "EnglishTextClassification", - "gpu": 0, - "inputDescription": "Text to be classified as String: 'I loved this movie.'", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON36", - "name": "EnglishTextClassification", - "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__11__metadata.json b/metadata/FM1003__11__metadata.json deleted file mode 100644 index d4c6a5d8..00000000 --- a/metadata/FM1003__11__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__12__metadata.json b/metadata/FM1003__12__metadata.json deleted file mode 100644 index 26be5535..00000000 --- a/metadata/FM1003__12__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__1__metadata.json b/metadata/FM1003__1__metadata.json deleted file mode 100644 index 41367ff9..00000000 --- a/metadata/FM1003__1__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 1, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/FM1003/22.4.0/fm1003_package.zip" -} diff --git a/metadata/FM1003__20__metadata.json b/metadata/FM1003__20__metadata.json deleted file mode 100644 index b140ef07..00000000 --- a/metadata/FM1003__20__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__21__metadata.json b/metadata/FM1003__21__metadata.json deleted file mode 100644 index 32bf29db..00000000 --- a/metadata/FM1003__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__22__metadata.json b/metadata/FM1003__22__metadata.json deleted file mode 100644 index ee64bc77..00000000 --- a/metadata/FM1003__22__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__23__metadata.json b/metadata/FM1003__23__metadata.json deleted file mode 100644 index 20575d5f..00000000 --- a/metadata/FM1003__23__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__24__metadata.json b/metadata/FM1003__24__metadata.json deleted file mode 100644 index 9103435f..00000000 --- a/metadata/FM1003__24__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} - diff --git a/metadata/FM1003__25__metadata.json b/metadata/FM1003__25__metadata.json index e07fd727..9c57ec74 100644 --- a/metadata/FM1003__25__metadata.json +++ b/metadata/FM1003__25__metadata.json @@ -1,33 +1,34 @@ { - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/FM1003__26__metadata.json b/metadata/FM1003__26__metadata.json deleted file mode 100644 index 6cc2433b..00000000 --- a/metadata/FM1003__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} diff --git a/metadata/FM1003__28__metadata.json b/metadata/FM1003__28__metadata.json deleted file mode 100644 index 68c9d33c..00000000 --- a/metadata/FM1003__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "FM1003", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "fm1003" - } - ] -} diff --git a/metadata/FM1003__2__metadata.json b/metadata/FM1003__2__metadata.json index 1d5a4fe8..ff1d6529 100644 --- a/metadata/FM1003__2__metadata.json +++ b/metadata/FM1003__2__metadata.json @@ -1,25 +1,26 @@ { - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model(available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/FM1003/22.4.1/fm1003_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/FM1003__30__metadata.json b/metadata/FM1003__30__metadata.json deleted file mode 100644 index 7ad4b113..00000000 --- a/metadata/FM1003__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FM1003", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. 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Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__13__metadata.json b/metadata/FinancialStatements__13__metadata.json deleted file mode 100644 index 69ca6ae6..00000000 --- a/metadata/FinancialStatements__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__14__metadata.json b/metadata/FinancialStatements__14__metadata.json deleted file mode 100644 index 3b4582b3..00000000 --- a/metadata/FinancialStatements__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__15__metadata.json b/metadata/FinancialStatements__15__metadata.json deleted file mode 100644 index 3d067430..00000000 --- a/metadata/FinancialStatements__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__16__metadata.json b/metadata/FinancialStatements__16__metadata.json deleted file mode 100644 index e1c9c9b9..00000000 --- a/metadata/FinancialStatements__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__17__metadata.json b/metadata/FinancialStatements__17__metadata.json deleted file mode 100644 index f2f98c34..00000000 --- a/metadata/FinancialStatements__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__18__metadata.json b/metadata/FinancialStatements__18__metadata.json deleted file mode 100644 index 5d9ad426..00000000 --- a/metadata/FinancialStatements__18__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__19__metadata.json b/metadata/FinancialStatements__19__metadata.json deleted file mode 100644 index f9a6698f..00000000 --- a/metadata/FinancialStatements__19__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__1__metadata.json b/metadata/FinancialStatements__1__metadata.json deleted file mode 100644 index 363f8f71..00000000 --- a/metadata/FinancialStatements__1__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__20__metadata.json b/metadata/FinancialStatements__20__metadata.json deleted file mode 100644 index 1fc83f9a..00000000 --- a/metadata/FinancialStatements__20__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__21__metadata.json b/metadata/FinancialStatements__21__metadata.json deleted file mode 100644 index 0cb9ada7..00000000 --- a/metadata/FinancialStatements__21__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__22__metadata.json b/metadata/FinancialStatements__22__metadata.json deleted file mode 100644 index 7ed75213..00000000 --- a/metadata/FinancialStatements__22__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__23__metadata.json b/metadata/FinancialStatements__23__metadata.json index 9c58cd84..fe091c81 100644 --- a/metadata/FinancialStatements__23__metadata.json +++ b/metadata/FinancialStatements__23__metadata.json @@ -1,32 +1,33 @@ { - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/FinancialStatements__24__metadata.json b/metadata/FinancialStatements__24__metadata.json deleted file mode 100644 index dcf01ae7..00000000 --- a/metadata/FinancialStatements__24__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__25__metadata.json b/metadata/FinancialStatements__25__metadata.json deleted file mode 100644 index d44586fc..00000000 --- a/metadata/FinancialStatements__25__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__26__metadata.json b/metadata/FinancialStatements__26__metadata.json deleted file mode 100644 index c164bc59..00000000 --- a/metadata/FinancialStatements__26__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__27__metadata.json b/metadata/FinancialStatements__27__metadata.json deleted file mode 100644 index 0e0f3ce5..00000000 --- a/metadata/FinancialStatements__27__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__28__metadata.json b/metadata/FinancialStatements__28__metadata.json deleted file mode 100644 index e42ecb46..00000000 --- a/metadata/FinancialStatements__28__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__29__metadata.json b/metadata/FinancialStatements__29__metadata.json index 4b4f859c..99abaa3a 100644 --- a/metadata/FinancialStatements__29__metadata.json +++ b/metadata/FinancialStatements__29__metadata.json @@ -29,4 +29,4 @@ "value": "financial_statements" } ] -} +} \ No newline at end of file diff --git a/metadata/FinancialStatements__2__metadata.json b/metadata/FinancialStatements__2__metadata.json deleted file mode 100644 index 3a63d054..00000000 --- a/metadata/FinancialStatements__2__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__30__metadata.json b/metadata/FinancialStatements__30__metadata.json index 37f622b9..353c97fc 100644 --- a/metadata/FinancialStatements__30__metadata.json +++ b/metadata/FinancialStatements__30__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "financial_statements" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/FinancialStatements__31__metadata.json b/metadata/FinancialStatements__31__metadata.json index f8f2bd0f..0731345b 100644 --- a/metadata/FinancialStatements__31__metadata.json +++ b/metadata/FinancialStatements__31__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "financial_statements" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/FinancialStatements__3__metadata.json b/metadata/FinancialStatements__3__metadata.json deleted file mode 100644 index e73ae935..00000000 --- a/metadata/FinancialStatements__3__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__4__metadata.json b/metadata/FinancialStatements__4__metadata.json deleted file mode 100644 index 00d0dc8d..00000000 --- a/metadata/FinancialStatements__4__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} diff --git a/metadata/FinancialStatements__5__metadata.json b/metadata/FinancialStatements__5__metadata.json deleted file mode 100644 index 138b74d2..00000000 --- a/metadata/FinancialStatements__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__6__metadata.json b/metadata/FinancialStatements__6__metadata.json deleted file mode 100644 index f601ea62..00000000 --- a/metadata/FinancialStatements__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "FinancialStatements", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "financial_statements" - } - ] -} - diff --git a/metadata/FinancialStatements__7__metadata.json b/metadata/FinancialStatements__7__metadata.json deleted file mode 100644 index 4434faac..00000000 --- a/metadata/FinancialStatements__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "FinancialStatements", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} - diff --git a/metadata/I9__18__metadata.json b/metadata/I9__18__metadata.json deleted file mode 100644 index b9a8df91..00000000 --- a/metadata/I9__18__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} - diff --git a/metadata/I9__19__metadata.json b/metadata/I9__19__metadata.json deleted file mode 100644 index 67746d8d..00000000 --- a/metadata/I9__19__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} - diff --git a/metadata/I9__1__metadata.json b/metadata/I9__1__metadata.json deleted file mode 100644 index d8f4d3b9..00000000 --- a/metadata/I9__1__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} - diff --git a/metadata/I9__21__metadata.json b/metadata/I9__21__metadata.json deleted file mode 100644 index 5384d660..00000000 --- a/metadata/I9__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} diff --git a/metadata/I9__27__metadata.json b/metadata/I9__27__metadata.json deleted file mode 100644 index a31c52c7..00000000 --- a/metadata/I9__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} diff --git a/metadata/I9__28__metadata.json b/metadata/I9__28__metadata.json deleted file mode 100644 index d17503cf..00000000 --- a/metadata/I9__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} diff --git a/metadata/I9__29__metadata.json b/metadata/I9__29__metadata.json deleted file mode 100644 index fb411689..00000000 --- a/metadata/I9__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} diff --git a/metadata/I9__2__metadata.json b/metadata/I9__2__metadata.json index cef8813f..2a9bbac1 100644 --- a/metadata/I9__2__metadata.json +++ b/metadata/I9__2__metadata.json @@ -1,25 +1,26 @@ { - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 2, - "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/I9/22.4.1/i9_package.zip" -} + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 2, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/I9/22.4.1/i9_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/I9__30__metadata.json b/metadata/I9__30__metadata.json deleted file mode 100644 index ca0254b1..00000000 --- a/metadata/I9__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} diff --git a/metadata/I9__31__metadata.json b/metadata/I9__31__metadata.json index 9cd08a9d..f83cca7f 100644 --- a/metadata/I9__31__metadata.json +++ b/metadata/I9__31__metadata.json @@ -30,4 +30,4 @@ "value": "i9" } ] -} +} \ No newline at end of file diff --git a/metadata/I9__32__metadata.json b/metadata/I9__32__metadata.json index d486476e..6da6f56b 100644 --- a/metadata/I9__32__metadata.json +++ b/metadata/I9__32__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "i9" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/I9__33__metadata.json b/metadata/I9__33__metadata.json index 9abf2e22..a93508f3 100644 --- a/metadata/I9__33__metadata.json +++ b/metadata/I9__33__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "i9" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/I9__3__metadata.json b/metadata/I9__3__metadata.json deleted file mode 100644 index e310dc91..00000000 --- a/metadata/I9__3__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "I9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "i9" - } - ] -} - diff --git a/metadata/I9__8__metadata.json b/metadata/I9__8__metadata.json deleted file mode 100644 index 8c02dfb8..00000000 --- a/metadata/I9__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "I9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__29__metadata.json b/metadata/IDCards__29__metadata.json deleted file mode 100644 index 02e67480..00000000 --- a/metadata/IDCards__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__2__metadata.json b/metadata/IDCards__2__metadata.json deleted file mode 100644 index 59de04b1..00000000 --- a/metadata/IDCards__2__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Model: 21.10.10", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 1, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 2, - "contentUri": "https:///publicmodels/AIC/IDCards/21.10.10/id_cards_package.zip" -} diff --git a/metadata/IDCards__30__metadata.json b/metadata/IDCards__30__metadata.json deleted file mode 100644 index dd8417ed..00000000 --- a/metadata/IDCards__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__31__metadata.json b/metadata/IDCards__31__metadata.json deleted file mode 100644 index 5e87aceb..00000000 --- a/metadata/IDCards__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__32__metadata.json b/metadata/IDCards__32__metadata.json deleted file mode 100644 index d24d9545..00000000 --- a/metadata/IDCards__32__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 32, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__33__metadata.json b/metadata/IDCards__33__metadata.json index 53d663ed..698c140f 100644 --- a/metadata/IDCards__33__metadata.json +++ b/metadata/IDCards__33__metadata.json @@ -30,4 +30,4 @@ "value": "id_cards" } ] -} +} \ No newline at end of file diff --git a/metadata/IDCards__34__metadata.json b/metadata/IDCards__34__metadata.json index ebea567e..ec2b53be 100644 --- a/metadata/IDCards__34__metadata.json +++ b/metadata/IDCards__34__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "id_cards" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/IDCards__35__metadata.json b/metadata/IDCards__35__metadata.json index 4717662b..903920cd 100644 --- a/metadata/IDCards__35__metadata.json +++ b/metadata/IDCards__35__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "id_cards" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/IDCards__3__metadata.json b/metadata/IDCards__3__metadata.json deleted file mode 100644 index 73a9b740..00000000 --- a/metadata/IDCards__3__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 3, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/IDCards/22.4.0/id_cards_package.zip" -} diff --git a/metadata/IDCards__4__metadata.json b/metadata/IDCards__4__metadata.json index 1894365a..ba9e6228 100644 --- a/metadata/IDCards__4__metadata.json +++ b/metadata/IDCards__4__metadata.json @@ -21,5 +21,6 @@ "languageVersion": 4, "version": 4, "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/IDCards/22.4.1/id_cards_package.zip" -} + "contentUri": "https:///publicmodels/AIC/IDCards/22.4.1/id_cards_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/IDCards__5__metadata.json b/metadata/IDCards__5__metadata.json deleted file mode 100644 index 2edc6492..00000000 --- a/metadata/IDCards__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__6__metadata.json b/metadata/IDCards__6__metadata.json deleted file mode 100644 index c735bad2..00000000 --- a/metadata/IDCards__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__7__metadata.json b/metadata/IDCards__7__metadata.json deleted file mode 100644 index f63bd2c2..00000000 --- a/metadata/IDCards__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__8__metadata.json b/metadata/IDCards__8__metadata.json deleted file mode 100644 index d6bdfb24..00000000 --- a/metadata/IDCards__8__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} diff --git a/metadata/IDCards__9__metadata.json b/metadata/IDCards__9__metadata.json deleted file mode 100644 index ae427c7d..00000000 --- a/metadata/IDCards__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "IDCards", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "IDCards", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "id_cards" - } - ] -} - diff --git a/metadata/IndianInvoices__10__metadata.json b/metadata/IndianInvoices__10__metadata.json index 1d9620f9..776770ab 100644 --- a/metadata/IndianInvoices__10__metadata.json +++ b/metadata/IndianInvoices__10__metadata.json @@ -1,25 +1,26 @@ { - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__23__metadata.json b/metadata/IndianInvoices__23__metadata.json deleted file mode 100644 index 2fb01ba2..00000000 --- a/metadata/IndianInvoices__23__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__24__metadata.json b/metadata/IndianInvoices__24__metadata.json deleted file mode 100644 index d8ba2444..00000000 --- a/metadata/IndianInvoices__24__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__25__metadata.json b/metadata/IndianInvoices__25__metadata.json deleted file mode 100644 index 1d2fd7bf..00000000 --- a/metadata/IndianInvoices__25__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__26__metadata.json b/metadata/IndianInvoices__26__metadata.json deleted file mode 100644 index 9e386835..00000000 --- a/metadata/IndianInvoices__26__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__27__metadata.json b/metadata/IndianInvoices__27__metadata.json deleted file mode 100644 index 53bdf247..00000000 --- a/metadata/IndianInvoices__27__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__28__metadata.json b/metadata/IndianInvoices__28__metadata.json deleted file mode 100644 index a20bf652..00000000 --- a/metadata/IndianInvoices__28__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__29__metadata.json b/metadata/IndianInvoices__29__metadata.json deleted file mode 100644 index 0e122556..00000000 --- a/metadata/IndianInvoices__29__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__30__metadata.json b/metadata/IndianInvoices__30__metadata.json deleted file mode 100644 index b0dc3a26..00000000 --- a/metadata/IndianInvoices__30__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__31__metadata.json b/metadata/IndianInvoices__31__metadata.json deleted file mode 100644 index cad1557f..00000000 --- a/metadata/IndianInvoices__31__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__32__metadata.json b/metadata/IndianInvoices__32__metadata.json deleted file mode 100644 index 2adbcb3e..00000000 --- a/metadata/IndianInvoices__32__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 32, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} - diff --git a/metadata/IndianInvoices__33__metadata.json b/metadata/IndianInvoices__33__metadata.json index ada895d7..6d18d51c 100644 --- a/metadata/IndianInvoices__33__metadata.json +++ b/metadata/IndianInvoices__33__metadata.json @@ -1,33 +1,34 @@ { - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 33, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/IndianInvoices__34__metadata.json b/metadata/IndianInvoices__34__metadata.json deleted file mode 100644 index 1327a872..00000000 --- a/metadata/IndianInvoices__34__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 34, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} diff --git a/metadata/IndianInvoices__35__metadata.json b/metadata/IndianInvoices__35__metadata.json deleted file mode 100644 index bffa6dfd..00000000 --- a/metadata/IndianInvoices__35__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 35, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} diff --git a/metadata/IndianInvoices__36__metadata.json b/metadata/IndianInvoices__36__metadata.json deleted file mode 100644 index 24e47b6b..00000000 --- a/metadata/IndianInvoices__36__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 36, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} diff --git a/metadata/IndianInvoices__37__metadata.json b/metadata/IndianInvoices__37__metadata.json deleted file mode 100644 index 769aca97..00000000 --- a/metadata/IndianInvoices__37__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 37, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} diff --git a/metadata/IndianInvoices__38__metadata.json b/metadata/IndianInvoices__38__metadata.json deleted file mode 100644 index 12d540b1..00000000 --- a/metadata/IndianInvoices__38__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 38, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_india" - } - ] -} diff --git a/metadata/IndianInvoices__39__metadata.json b/metadata/IndianInvoices__39__metadata.json index 7bd07902..cb71e618 100644 --- a/metadata/IndianInvoices__39__metadata.json +++ b/metadata/IndianInvoices__39__metadata.json @@ -30,4 +30,4 @@ "value": "invoices_india" } ] -} +} \ No newline at end of file diff --git a/metadata/IndianInvoices__40__metadata.json b/metadata/IndianInvoices__40__metadata.json index a94d8358..d5fa706e 100644 --- a/metadata/IndianInvoices__40__metadata.json +++ b/metadata/IndianInvoices__40__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_india" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/IndianInvoices__41__metadata.json b/metadata/IndianInvoices__41__metadata.json index 51443a59..b9bc1a7f 100644 --- a/metadata/IndianInvoices__41__metadata.json +++ b/metadata/IndianInvoices__41__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_india" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/IndianInvoices__7__metadata.json b/metadata/IndianInvoices__7__metadata.json deleted file mode 100644 index 9b058dc1..00000000 --- a/metadata/IndianInvoices__7__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.5", - "cpu": 0, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 2, - "version": 7, - "contentUri": "https:///publicmodels/AIC/IndianInvoices/7/invoices_india_package.zip" -} diff --git a/metadata/IndianInvoices__8__metadata.json b/metadata/IndianInvoices__8__metadata.json deleted file mode 100644 index e89c7640..00000000 --- a/metadata/IndianInvoices__8__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v20.10.1.2", - "languageVersion": 3, - "version": 8, - "contentUri": "https:///publicmodels/AIC/IndianInvoices/21.10.10/invoices_india_package.zip" -} diff --git a/metadata/IndianInvoices__9__metadata.json b/metadata/IndianInvoices__9__metadata.json deleted file mode 100644 index 869535e6..00000000 --- a/metadata/IndianInvoices__9__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "IndianInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "IndianInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 9, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/IndianInvoices/22.4.0/invoices_india_package.zip" -} diff --git a/metadata/InvoicesChina__10__metadata.json b/metadata/InvoicesChina__10__metadata.json deleted file mode 100644 index adf71fc7..00000000 --- a/metadata/InvoicesChina__10__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesChina__11__metadata.json b/metadata/InvoicesChina__11__metadata.json deleted file mode 100644 index 9278ea02..00000000 --- a/metadata/InvoicesChina__11__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesChina__1__metadata.json b/metadata/InvoicesChina__1__metadata.json deleted file mode 100644 index 4332d7c5..00000000 --- a/metadata/InvoicesChina__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesChina__21__metadata.json b/metadata/InvoicesChina__21__metadata.json deleted file mode 100644 index 5357c7eb..00000000 --- a/metadata/InvoicesChina__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesChina__22__metadata.json b/metadata/InvoicesChina__22__metadata.json deleted file mode 100644 index 4cdc894f..00000000 --- a/metadata/InvoicesChina__22__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesChina__23__metadata.json b/metadata/InvoicesChina__23__metadata.json deleted file mode 100644 index 65ff70c4..00000000 --- a/metadata/InvoicesChina__23__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesChina__24__metadata.json b/metadata/InvoicesChina__24__metadata.json deleted file mode 100644 index 8a313d38..00000000 --- a/metadata/InvoicesChina__24__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} diff --git a/metadata/InvoicesChina__28__metadata.json b/metadata/InvoicesChina__28__metadata.json deleted file mode 100644 index 0f08cf34..00000000 --- a/metadata/InvoicesChina__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 2, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/InvoicesChina/22.4.0/invoices_china_package.zip" -} diff --git a/metadata/InvoicesChina__30__metadata.json b/metadata/InvoicesChina__30__metadata.json deleted file mode 100644 index 4f812e88..00000000 --- a/metadata/InvoicesChina__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} diff --git a/metadata/InvoicesChina__31__metadata.json b/metadata/InvoicesChina__31__metadata.json deleted file mode 100644 index 720b234f..00000000 --- a/metadata/InvoicesChina__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} diff --git a/metadata/InvoicesChina__32__metadata.json b/metadata/InvoicesChina__32__metadata.json index 8f42f306..39d4b0a5 100644 --- a/metadata/InvoicesChina__32__metadata.json +++ b/metadata/InvoicesChina__32__metadata.json @@ -30,4 +30,4 @@ "value": "invoices_china" } ] -} +} \ No newline at end of file diff --git a/metadata/InvoicesChina__33__metadata.json b/metadata/InvoicesChina__33__metadata.json index 33430f75..b2649093 100644 --- a/metadata/InvoicesChina__33__metadata.json +++ b/metadata/InvoicesChina__33__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_china" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/InvoicesChina__34__metadata.json b/metadata/InvoicesChina__34__metadata.json index 280f6294..ad3ba7b8 100644 --- a/metadata/InvoicesChina__34__metadata.json +++ b/metadata/InvoicesChina__34__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_china" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/InvoicesChina__3__metadata.json b/metadata/InvoicesChina__3__metadata.json index c73c0d08..348f25e9 100644 --- a/metadata/InvoicesChina__3__metadata.json +++ b/metadata/InvoicesChina__3__metadata.json @@ -1,25 +1,26 @@ { - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 3, - "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/InvoicesChina/22.4.1/invoices_china_package.zip" -} + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/InvoicesChina/22.4.1/invoices_china_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/InvoicesChina__4__metadata.json b/metadata/InvoicesChina__4__metadata.json deleted file mode 100644 index 0b303caa..00000000 --- a/metadata/InvoicesChina__4__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} diff --git a/metadata/InvoicesChina__5__metadata.json b/metadata/InvoicesChina__5__metadata.json deleted file mode 100644 index 014144a8..00000000 --- a/metadata/InvoicesChina__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} diff --git a/metadata/InvoicesChina__6__metadata.json b/metadata/InvoicesChina__6__metadata.json deleted file mode 100644 index e9744fa9..00000000 --- a/metadata/InvoicesChina__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} diff --git a/metadata/InvoicesChina__7__metadata.json b/metadata/InvoicesChina__7__metadata.json deleted file mode 100644 index 8cb8c15e..00000000 --- a/metadata/InvoicesChina__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} diff --git a/metadata/InvoicesChina__8__metadata.json b/metadata/InvoicesChina__8__metadata.json deleted file mode 100644 index 3bf04f7e..00000000 --- a/metadata/InvoicesChina__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesChina__9__metadata.json b/metadata/InvoicesChina__9__metadata.json deleted file mode 100644 index 18112fcd..00000000 --- a/metadata/InvoicesChina__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesChina", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesChina", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_china" - } - ] -} - diff --git a/metadata/InvoicesHebrew__1__metadata.json b/metadata/InvoicesHebrew__1__metadata.json deleted file mode 100644 index 7dcb5f5c..00000000 --- a/metadata/InvoicesHebrew__1__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesHebrew", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesHebrew", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_hebrew" - } - ] -} diff --git a/metadata/InvoicesHebrew__2__metadata.json b/metadata/InvoicesHebrew__2__metadata.json deleted file mode 100644 index 07d048f1..00000000 --- a/metadata/InvoicesHebrew__2__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesHebrew", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesHebrew", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_hebrew" - } - ] -} diff --git a/metadata/InvoicesHebrew__3__metadata.json b/metadata/InvoicesHebrew__3__metadata.json index a02e666e..fa3bff67 100644 --- a/metadata/InvoicesHebrew__3__metadata.json +++ b/metadata/InvoicesHebrew__3__metadata.json @@ -30,4 +30,4 @@ "value": "invoices_hebrew" } ] -} +} \ No newline at end of file diff --git a/metadata/InvoicesShipping__10__metadata.json b/metadata/InvoicesShipping__10__metadata.json deleted file mode 100644 index cdff0614..00000000 --- a/metadata/InvoicesShipping__10__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/InvoicesShipping__11__metadata.json b/metadata/InvoicesShipping__11__metadata.json deleted file mode 100644 index 0d195d2b..00000000 --- a/metadata/InvoicesShipping__11__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/InvoicesShipping__12__metadata.json b/metadata/InvoicesShipping__12__metadata.json deleted file mode 100644 index 5b146e53..00000000 --- a/metadata/InvoicesShipping__12__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/InvoicesShipping__13__metadata.json b/metadata/InvoicesShipping__13__metadata.json deleted file mode 100644 index 6725815a..00000000 --- a/metadata/InvoicesShipping__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} diff --git a/metadata/InvoicesShipping__14__metadata.json b/metadata/InvoicesShipping__14__metadata.json deleted file mode 100644 index eec505f1..00000000 --- a/metadata/InvoicesShipping__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} diff --git a/metadata/InvoicesShipping__15__metadata.json b/metadata/InvoicesShipping__15__metadata.json deleted file mode 100644 index c14cf77f..00000000 --- a/metadata/InvoicesShipping__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} diff --git a/metadata/InvoicesShipping__16__metadata.json b/metadata/InvoicesShipping__16__metadata.json deleted file mode 100644 index 971f0331..00000000 --- a/metadata/InvoicesShipping__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} diff --git a/metadata/InvoicesShipping__17__metadata.json b/metadata/InvoicesShipping__17__metadata.json deleted file mode 100644 index 63a0f3f8..00000000 --- a/metadata/InvoicesShipping__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} diff --git a/metadata/InvoicesShipping__18__metadata.json b/metadata/InvoicesShipping__18__metadata.json index d0807a2e..0a72270a 100644 --- a/metadata/InvoicesShipping__18__metadata.json +++ b/metadata/InvoicesShipping__18__metadata.json @@ -30,4 +30,4 @@ "value": "invoices_shipping" } ] -} +} \ No newline at end of file diff --git a/metadata/InvoicesShipping__19__metadata.json b/metadata/InvoicesShipping__19__metadata.json index 71b38115..b1ab92dc 100644 --- a/metadata/InvoicesShipping__19__metadata.json +++ b/metadata/InvoicesShipping__19__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_shipping" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/InvoicesShipping__1__metadata.json b/metadata/InvoicesShipping__1__metadata.json deleted file mode 100644 index 1d38e775..00000000 --- a/metadata/InvoicesShipping__1__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} diff --git a/metadata/InvoicesShipping__20__metadata.json b/metadata/InvoicesShipping__20__metadata.json index cbc3914f..36e1760a 100644 --- a/metadata/InvoicesShipping__20__metadata.json +++ b/metadata/InvoicesShipping__20__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_shipping" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/InvoicesShipping__2__metadata.json b/metadata/InvoicesShipping__2__metadata.json deleted file mode 100644 index 54e3b401..00000000 --- a/metadata/InvoicesShipping__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/InvoicesShipping__3__metadata.json b/metadata/InvoicesShipping__3__metadata.json deleted file mode 100644 index 63639401..00000000 --- a/metadata/InvoicesShipping__3__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/InvoicesShipping__4__metadata.json b/metadata/InvoicesShipping__4__metadata.json deleted file mode 100644 index 48f73700..00000000 --- a/metadata/InvoicesShipping__4__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. 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See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/InvoicesShipping__8__metadata.json b/metadata/InvoicesShipping__8__metadata.json deleted file mode 100644 index 0f08580f..00000000 --- a/metadata/InvoicesShipping__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/InvoicesShipping__9__metadata.json b/metadata/InvoicesShipping__9__metadata.json deleted file mode 100644 index bdaca591..00000000 --- a/metadata/InvoicesShipping__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "InvoicesShipping", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "InvoicesShipping", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_shipping" - } - ] -} - diff --git a/metadata/Invoices__10__metadata.json b/metadata/Invoices__10__metadata.json deleted file mode 100644 index 00917cf2..00000000 --- a/metadata/Invoices__10__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 10, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/Invoices/22.4.0/invoices_package.zip" -} diff --git a/metadata/Invoices__11__metadata.json b/metadata/Invoices__11__metadata.json index 7150fff9..12459d89 100644 --- a/metadata/Invoices__11__metadata.json +++ b/metadata/Invoices__11__metadata.json @@ -1,25 +1,26 @@ { - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 11, - "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/Invoices/22.4.1/invoices_package.zip" -} + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 11, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/Invoices/22.4.1/invoices_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/Invoices__12__metadata.json b/metadata/Invoices__12__metadata.json deleted file mode 100644 index 01d68c7d..00000000 --- a/metadata/Invoices__12__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__13__metadata.json b/metadata/Invoices__13__metadata.json deleted file mode 100644 index 469885ff..00000000 --- a/metadata/Invoices__13__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__14__metadata.json b/metadata/Invoices__14__metadata.json deleted file mode 100644 index 3836a9dd..00000000 --- a/metadata/Invoices__14__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__15__metadata.json b/metadata/Invoices__15__metadata.json deleted file mode 100644 index b77d643f..00000000 --- a/metadata/Invoices__15__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__16__metadata.json b/metadata/Invoices__16__metadata.json deleted file mode 100644 index 1bd397d2..00000000 --- a/metadata/Invoices__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__17__metadata.json b/metadata/Invoices__17__metadata.json deleted file mode 100644 index e3c5e6fe..00000000 --- a/metadata/Invoices__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__18__metadata.json b/metadata/Invoices__18__metadata.json deleted file mode 100644 index 97249ef9..00000000 --- a/metadata/Invoices__18__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__19__metadata.json b/metadata/Invoices__19__metadata.json deleted file mode 100644 index e6c4acca..00000000 --- a/metadata/Invoices__19__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__20__metadata.json b/metadata/Invoices__20__metadata.json deleted file mode 100644 index 3984216a..00000000 --- a/metadata/Invoices__20__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__21__metadata.json b/metadata/Invoices__21__metadata.json deleted file mode 100644 index 4f9623f7..00000000 --- a/metadata/Invoices__21__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__22__metadata.json b/metadata/Invoices__22__metadata.json deleted file mode 100644 index 7705e27e..00000000 --- a/metadata/Invoices__22__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__23__metadata.json b/metadata/Invoices__23__metadata.json deleted file mode 100644 index 409ff18a..00000000 --- a/metadata/Invoices__23__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__24__metadata.json b/metadata/Invoices__24__metadata.json deleted file mode 100644 index 61815083..00000000 --- a/metadata/Invoices__24__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__25__metadata.json b/metadata/Invoices__25__metadata.json deleted file mode 100644 index 2db10c65..00000000 --- a/metadata/Invoices__25__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__26__metadata.json b/metadata/Invoices__26__metadata.json deleted file mode 100644 index 914ea0e5..00000000 --- a/metadata/Invoices__26__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__27__metadata.json b/metadata/Invoices__27__metadata.json deleted file mode 100644 index 93f7d78c..00000000 --- a/metadata/Invoices__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__28__metadata.json b/metadata/Invoices__28__metadata.json deleted file mode 100644 index 94e11e5e..00000000 --- a/metadata/Invoices__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__29__metadata.json b/metadata/Invoices__29__metadata.json deleted file mode 100644 index a994d8c8..00000000 --- a/metadata/Invoices__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__30__metadata.json b/metadata/Invoices__30__metadata.json deleted file mode 100644 index 3393991c..00000000 --- a/metadata/Invoices__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__31__metadata.json b/metadata/Invoices__31__metadata.json deleted file mode 100644 index 44222aea..00000000 --- a/metadata/Invoices__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__32__metadata.json b/metadata/Invoices__32__metadata.json deleted file mode 100644 index 3d3787c7..00000000 --- a/metadata/Invoices__32__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 32, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__33__metadata.json b/metadata/Invoices__33__metadata.json deleted file mode 100644 index 3a0f6740..00000000 --- a/metadata/Invoices__33__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 33, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} - diff --git a/metadata/Invoices__34__metadata.json b/metadata/Invoices__34__metadata.json index 632689a6..99435f38 100644 --- a/metadata/Invoices__34__metadata.json +++ b/metadata/Invoices__34__metadata.json @@ -1,32 +1,33 @@ { - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 34, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/Invoices__35__metadata.json b/metadata/Invoices__35__metadata.json deleted file mode 100644 index 79df4825..00000000 --- a/metadata/Invoices__35__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 35, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__36__metadata.json b/metadata/Invoices__36__metadata.json deleted file mode 100644 index 6f525e82..00000000 --- a/metadata/Invoices__36__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 36, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__37__metadata.json b/metadata/Invoices__37__metadata.json deleted file mode 100644 index 2deedb33..00000000 --- a/metadata/Invoices__37__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 37, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__38__metadata.json b/metadata/Invoices__38__metadata.json deleted file mode 100644 index 6049fab8..00000000 --- a/metadata/Invoices__38__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 38, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__39__metadata.json b/metadata/Invoices__39__metadata.json deleted file mode 100644 index 3a275195..00000000 --- a/metadata/Invoices__39__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 39, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices" - } - ] -} diff --git a/metadata/Invoices__40__metadata.json b/metadata/Invoices__40__metadata.json index db2e7a6c..5cf2169e 100644 --- a/metadata/Invoices__40__metadata.json +++ b/metadata/Invoices__40__metadata.json @@ -29,4 +29,4 @@ "value": "invoices" } ] -} +} \ No newline at end of file diff --git a/metadata/Invoices__41__metadata.json b/metadata/Invoices__41__metadata.json index 051931da..e9829a6d 100644 --- a/metadata/Invoices__41__metadata.json +++ b/metadata/Invoices__41__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "invoices" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/Invoices__42__metadata.json b/metadata/Invoices__42__metadata.json index cf81fe4c..7ceac111 100644 --- a/metadata/Invoices__42__metadata.json +++ b/metadata/Invoices__42__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "invoices" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Invoices__8__metadata.json b/metadata/Invoices__8__metadata.json deleted file mode 100644 index 8bb30a91..00000000 --- a/metadata/Invoices__8__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.6", - "cpu": 0, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 8, - "contentUri": "https:///publicmodels/AIC/Invoices/8/invoices_package.zip" -} diff --git a/metadata/Invoices__9__metadata.json b/metadata/Invoices__9__metadata.json deleted file mode 100644 index bdb9d7b5..00000000 --- a/metadata/Invoices__9__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "Invoices", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "Invoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 9, - "contentUri": "https:///publicmodels/AIC/Invoices/21.10.10/invoices_package.zip" -} diff --git a/metadata/JapaneseInvoices__10__metadata.json b/metadata/JapaneseInvoices__10__metadata.json deleted file mode 100644 index 3893c8e3..00000000 --- a/metadata/JapaneseInvoices__10__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/JapaneseInvoices__11__metadata.json b/metadata/JapaneseInvoices__11__metadata.json deleted file mode 100644 index d7e9207a..00000000 --- a/metadata/JapaneseInvoices__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/JapaneseInvoices__12__metadata.json b/metadata/JapaneseInvoices__12__metadata.json deleted file mode 100644 index ec5092bf..00000000 --- a/metadata/JapaneseInvoices__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/JapaneseInvoices__13__metadata.json b/metadata/JapaneseInvoices__13__metadata.json deleted file mode 100644 index 4a4d7241..00000000 --- a/metadata/JapaneseInvoices__13__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__14__metadata.json b/metadata/JapaneseInvoices__14__metadata.json deleted file mode 100644 index 892d9760..00000000 --- a/metadata/JapaneseInvoices__14__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__15__metadata.json b/metadata/JapaneseInvoices__15__metadata.json deleted file mode 100644 index 44e0fc82..00000000 --- a/metadata/JapaneseInvoices__15__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__16__metadata.json b/metadata/JapaneseInvoices__16__metadata.json deleted file mode 100644 index 3cc90afa..00000000 --- a/metadata/JapaneseInvoices__16__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__17__metadata.json b/metadata/JapaneseInvoices__17__metadata.json deleted file mode 100644 index 6f16bd61..00000000 --- a/metadata/JapaneseInvoices__17__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__18__metadata.json b/metadata/JapaneseInvoices__18__metadata.json deleted file mode 100644 index 07d05543..00000000 --- a/metadata/JapaneseInvoices__18__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__19__metadata.json b/metadata/JapaneseInvoices__19__metadata.json deleted file mode 100644 index 3a3e7bb7..00000000 --- a/metadata/JapaneseInvoices__19__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__20__metadata.json b/metadata/JapaneseInvoices__20__metadata.json deleted file mode 100644 index 916366ea..00000000 --- a/metadata/JapaneseInvoices__20__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__21__metadata.json b/metadata/JapaneseInvoices__21__metadata.json deleted file mode 100644 index 74910728..00000000 --- a/metadata/JapaneseInvoices__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__22__metadata.json b/metadata/JapaneseInvoices__22__metadata.json deleted file mode 100644 index 4eb7d141..00000000 --- a/metadata/JapaneseInvoices__22__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__23__metadata.json b/metadata/JapaneseInvoices__23__metadata.json deleted file mode 100644 index 2a7b0ace..00000000 --- a/metadata/JapaneseInvoices__23__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__24__metadata.json b/metadata/JapaneseInvoices__24__metadata.json deleted file mode 100644 index 72079838..00000000 --- a/metadata/JapaneseInvoices__24__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__25__metadata.json b/metadata/JapaneseInvoices__25__metadata.json deleted file mode 100644 index c205937c..00000000 --- a/metadata/JapaneseInvoices__25__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__26__metadata.json b/metadata/JapaneseInvoices__26__metadata.json deleted file mode 100644 index ef9565a0..00000000 --- a/metadata/JapaneseInvoices__26__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__27__metadata.json b/metadata/JapaneseInvoices__27__metadata.json deleted file mode 100644 index 32bba224..00000000 --- a/metadata/JapaneseInvoices__27__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__28__metadata.json b/metadata/JapaneseInvoices__28__metadata.json deleted file mode 100644 index 483830e8..00000000 --- a/metadata/JapaneseInvoices__28__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__29__metadata.json b/metadata/JapaneseInvoices__29__metadata.json deleted file mode 100644 index 38f0f141..00000000 --- a/metadata/JapaneseInvoices__29__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__30__metadata.json b/metadata/JapaneseInvoices__30__metadata.json deleted file mode 100644 index c7a2e408..00000000 --- a/metadata/JapaneseInvoices__30__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} - diff --git a/metadata/JapaneseInvoices__31__metadata.json b/metadata/JapaneseInvoices__31__metadata.json index 07f45eb2..5f5cb620 100644 --- a/metadata/JapaneseInvoices__31__metadata.json +++ b/metadata/JapaneseInvoices__31__metadata.json @@ -1,33 +1,34 @@ { - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/JapaneseInvoices__32__metadata.json b/metadata/JapaneseInvoices__32__metadata.json deleted file mode 100644 index f090f44d..00000000 --- a/metadata/JapaneseInvoices__32__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 33, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/JapaneseInvoices__34__metadata.json b/metadata/JapaneseInvoices__34__metadata.json deleted file mode 100644 index 5038e4c3..00000000 --- a/metadata/JapaneseInvoices__34__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 34, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/JapaneseInvoices__35__metadata.json b/metadata/JapaneseInvoices__35__metadata.json deleted file mode 100644 index 42595ee7..00000000 --- a/metadata/JapaneseInvoices__35__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 35, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/JapaneseInvoices__36__metadata.json b/metadata/JapaneseInvoices__36__metadata.json deleted file mode 100644 index 94ddccb9..00000000 --- a/metadata/JapaneseInvoices__36__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 36, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/JapaneseInvoices__37__metadata.json b/metadata/JapaneseInvoices__37__metadata.json index 9465f20c..feedda11 100644 --- a/metadata/JapaneseInvoices__37__metadata.json +++ b/metadata/JapaneseInvoices__37__metadata.json @@ -30,4 +30,4 @@ "value": "invoices_japan" } ] -} +} \ No newline at end of file diff --git a/metadata/JapaneseInvoices__38__metadata.json b/metadata/JapaneseInvoices__38__metadata.json index dc2d4b7c..0c98b5c3 100644 --- a/metadata/JapaneseInvoices__38__metadata.json +++ b/metadata/JapaneseInvoices__38__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_japan" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/JapaneseInvoices__39__metadata.json b/metadata/JapaneseInvoices__39__metadata.json index 66d8a1ea..a08fc4ad 100644 --- a/metadata/JapaneseInvoices__39__metadata.json +++ b/metadata/JapaneseInvoices__39__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "invoices_japan" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/JapaneseInvoices__5__metadata.json b/metadata/JapaneseInvoices__5__metadata.json deleted file mode 100644 index 374af4f3..00000000 --- a/metadata/JapaneseInvoices__5__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.6", - "cpu": 0, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 5, - "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/5/invoices_japan_package.zip" -} diff --git a/metadata/JapaneseInvoices__6__metadata.json b/metadata/JapaneseInvoices__6__metadata.json deleted file mode 100644 index f513237f..00000000 --- a/metadata/JapaneseInvoices__6__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.11", - "cpu": 0, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 6, - "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/21.10.11/invoices_japan_package.zip" -} diff --git a/metadata/JapaneseInvoices__7__metadata.json b/metadata/JapaneseInvoices__7__metadata.json deleted file mode 100644 index 45d4ecbb..00000000 --- a/metadata/JapaneseInvoices__7__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 7, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/22.4.0/invoices_japan_package.zip" -} diff --git a/metadata/JapaneseInvoices__8__metadata.json b/metadata/JapaneseInvoices__8__metadata.json index ea3c8e81..de4ad69e 100644 --- a/metadata/JapaneseInvoices__8__metadata.json +++ b/metadata/JapaneseInvoices__8__metadata.json @@ -1,25 +1,26 @@ { - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 8, - "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/22.4.1/invoices_japan_package.zip" -} + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 8, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/JapaneseInvoices/22.4.1/invoices_japan_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/JapaneseInvoices__9__metadata.json b/metadata/JapaneseInvoices__9__metadata.json deleted file mode 100644 index 63fb101b..00000000 --- a/metadata/JapaneseInvoices__9__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "JapaneseInvoices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "JapaneseInvoices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "invoices_japan" - } - ] -} diff --git a/metadata/MultilingualTranslator__1__metadata.json b/metadata/MultilingualTranslator__1__metadata.json index 306d4a10..285b8543 100644 --- a/metadata/MultilingualTranslator__1__metadata.json +++ b/metadata/MultilingualTranslator__1__metadata.json @@ -1,24 +1,24 @@ { - "name": "MultilingualTranslator", - "retrainable": false, - "gpu": 0, - "processorType": "CPU", - "description": "This is the HuggingFace integration of No Language Left Behind model open sourced by Meta AI Research. It delivers translations directly between any pair of 200+ languages. You can find the full list of languages and the corresponding code to use for each of them here: https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200. The model was published under the following license https://github.com/facebookresearch/fairseq/blob/nllb/LICENSE.", - "inputDescription": "The model input is json string with three keys text: the text to be translated, from_lang: Language code of the text, to_lang: Language code of the targeted text. Example: {\"text\" : \"UN Chief says there is no military solution in Syria\", \"from_lang\" : \"eng_Latn\", \"to_lang\" : \"fra_Latn\" }\"", - "outputDescription": "The model will return translated text in targeted language: \"Le chef de l''ONU dit qu''il n''y a pas de solution militaire en Syrie\" ", - "changeLog": "Use Python 3.8", - "cpu": 1, - "inputType": "JSON", - "displayName": "MultilingualTranslator", - "memory": 0, - "mlPackageLanguage": "PYTHON38", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "Language Translation", - "projectDescription": "Models that use Neural Machine Translation to translate text from one language to another.", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v21.10", - "version": 1, - "customVersion": "22.11.2", - "contentUri": "https:///publicmodels/AIC/MultilingualTranslator/22.11.2/languageTranslation.zip" + "name": "MultilingualTranslator", + "retrainable": false, + "gpu": 0, + "processorType": "CPU", + "description": "This is the HuggingFace integration of No Language Left Behind model open sourced by Meta AI Research. It delivers translations directly between any pair of 200+ languages. You can find the full list of languages and the corresponding code to use for each of them here: https://github.com/facebookresearch/flores/blob/main/flores200/README.md#languages-in-flores-200. The model was published under the following license https://github.com/facebookresearch/fairseq/blob/nllb/LICENSE.", + "inputDescription": "The model input is json string with three keys text: the text to be translated, from_lang: Language code of the text, to_lang: Language code of the targeted text. Example: {\"text\" : \"UN Chief says there is no military solution in Syria\", \"from_lang\" : \"eng_Latn\", \"to_lang\" : \"fra_Latn\" }\"", + "outputDescription": "The model will return translated text in targeted language: \"Le chef de l''ONU dit qu''il n''y a pas de solution militaire en Syrie\" ", + "changeLog": "Use Python 3.8", + "cpu": 1, + "inputType": "JSON", + "displayName": "MultilingualTranslator", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Language Translation", + "projectDescription": "Models that use Neural Machine Translation to translate text from one language to another.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.11.2", + "contentUri": "https:///publicmodels/AIC/MultilingualTranslator/22.11.2/languageTranslation.zip" } \ No newline at end of file diff --git a/metadata/PackingLists__10__metadata.json b/metadata/PackingLists__10__metadata.json deleted file mode 100644 index 0702a632..00000000 --- a/metadata/PackingLists__10__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__11__metadata.json b/metadata/PackingLists__11__metadata.json deleted file mode 100644 index c6e5c1e5..00000000 --- a/metadata/PackingLists__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__12__metadata.json b/metadata/PackingLists__12__metadata.json deleted file mode 100644 index 66e24994..00000000 --- a/metadata/PackingLists__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__13__metadata.json b/metadata/PackingLists__13__metadata.json deleted file mode 100644 index 39a2654f..00000000 --- a/metadata/PackingLists__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__14__metadata.json b/metadata/PackingLists__14__metadata.json deleted file mode 100644 index 1d5ac824..00000000 --- a/metadata/PackingLists__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__15__metadata.json b/metadata/PackingLists__15__metadata.json deleted file mode 100644 index 3a15925c..00000000 --- a/metadata/PackingLists__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__16__metadata.json b/metadata/PackingLists__16__metadata.json deleted file mode 100644 index 182af6d4..00000000 --- a/metadata/PackingLists__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__17__metadata.json b/metadata/PackingLists__17__metadata.json deleted file mode 100644 index 5c5ea7b4..00000000 --- a/metadata/PackingLists__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__18__metadata.json b/metadata/PackingLists__18__metadata.json deleted file mode 100644 index b09ea893..00000000 --- a/metadata/PackingLists__18__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__19__metadata.json b/metadata/PackingLists__19__metadata.json deleted file mode 100644 index fdcb4a8c..00000000 --- a/metadata/PackingLists__19__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__1__metadata.json b/metadata/PackingLists__1__metadata.json deleted file mode 100644 index 8964db1f..00000000 --- a/metadata/PackingLists__1__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__20__metadata.json b/metadata/PackingLists__20__metadata.json deleted file mode 100644 index 1573783a..00000000 --- a/metadata/PackingLists__20__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__21__metadata.json b/metadata/PackingLists__21__metadata.json deleted file mode 100644 index 46c5238b..00000000 --- a/metadata/PackingLists__21__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__22__metadata.json b/metadata/PackingLists__22__metadata.json deleted file mode 100644 index d103a8c2..00000000 --- a/metadata/PackingLists__22__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__23__metadata.json b/metadata/PackingLists__23__metadata.json index 6c796040..575e732d 100644 --- a/metadata/PackingLists__23__metadata.json +++ b/metadata/PackingLists__23__metadata.json @@ -1,32 +1,33 @@ { - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/PackingLists__24__metadata.json b/metadata/PackingLists__24__metadata.json deleted file mode 100644 index 719e0eeb..00000000 --- a/metadata/PackingLists__24__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__25__metadata.json b/metadata/PackingLists__25__metadata.json deleted file mode 100644 index f1d8d217..00000000 --- a/metadata/PackingLists__25__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__26__metadata.json b/metadata/PackingLists__26__metadata.json deleted file mode 100644 index 31ee5144..00000000 --- a/metadata/PackingLists__26__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__27__metadata.json b/metadata/PackingLists__27__metadata.json deleted file mode 100644 index f207cfea..00000000 --- a/metadata/PackingLists__27__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__28__metadata.json b/metadata/PackingLists__28__metadata.json deleted file mode 100644 index a8600ed5..00000000 --- a/metadata/PackingLists__28__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__29__metadata.json b/metadata/PackingLists__29__metadata.json index f73d4a51..70e7f860 100644 --- a/metadata/PackingLists__29__metadata.json +++ b/metadata/PackingLists__29__metadata.json @@ -29,4 +29,4 @@ "value": "packing_lists" } ] -} +} \ No newline at end of file diff --git a/metadata/PackingLists__2__metadata.json b/metadata/PackingLists__2__metadata.json deleted file mode 100644 index 0ca05478..00000000 --- a/metadata/PackingLists__2__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__30__metadata.json b/metadata/PackingLists__30__metadata.json index a4d4c771..307f6a15 100644 --- a/metadata/PackingLists__30__metadata.json +++ b/metadata/PackingLists__30__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "packing_lists" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/PackingLists__31__metadata.json b/metadata/PackingLists__31__metadata.json index 4543a5be..1ec19708 100644 --- a/metadata/PackingLists__31__metadata.json +++ b/metadata/PackingLists__31__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "packing_lists" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/PackingLists__3__metadata.json b/metadata/PackingLists__3__metadata.json deleted file mode 100644 index 5e72ebb9..00000000 --- a/metadata/PackingLists__3__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__4__metadata.json b/metadata/PackingLists__4__metadata.json deleted file mode 100644 index c7e0f596..00000000 --- a/metadata/PackingLists__4__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} diff --git a/metadata/PackingLists__5__metadata.json b/metadata/PackingLists__5__metadata.json deleted file mode 100644 index 611dcbd4..00000000 --- a/metadata/PackingLists__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__6__metadata.json b/metadata/PackingLists__6__metadata.json deleted file mode 100644 index d403b3a8..00000000 --- a/metadata/PackingLists__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "PackingLists", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "packing_lists" - } - ] -} - diff --git a/metadata/PackingLists__7__metadata.json b/metadata/PackingLists__7__metadata.json deleted file mode 100644 index 2b5361e2..00000000 --- a/metadata/PackingLists__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PackingLists", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} - diff --git a/metadata/Passports__21__metadata.json b/metadata/Passports__21__metadata.json deleted file mode 100644 index c6c3ea46..00000000 --- a/metadata/Passports__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__29__metadata.json b/metadata/Passports__29__metadata.json deleted file mode 100644 index 254adbaf..00000000 --- a/metadata/Passports__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__2__metadata.json b/metadata/Passports__2__metadata.json deleted file mode 100644 index 43d90199..00000000 --- a/metadata/Passports__2__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Model: 21.10.10", - "cpu": 0, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 1, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 2, - "contentUri": "https:///publicmodels/AIC/Passports/21.10.10/passports_package.zip" -} diff --git a/metadata/Passports__30__metadata.json b/metadata/Passports__30__metadata.json deleted file mode 100644 index 8e21bce8..00000000 --- a/metadata/Passports__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__31__metadata.json b/metadata/Passports__31__metadata.json deleted file mode 100644 index ab8b1b5c..00000000 --- a/metadata/Passports__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__32__metadata.json b/metadata/Passports__32__metadata.json deleted file mode 100644 index c5e9c344..00000000 --- a/metadata/Passports__32__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 32, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__33__metadata.json b/metadata/Passports__33__metadata.json index 19075fd2..797af5f6 100644 --- a/metadata/Passports__33__metadata.json +++ b/metadata/Passports__33__metadata.json @@ -30,4 +30,4 @@ "value": "passports" } ] -} +} \ No newline at end of file diff --git a/metadata/Passports__34__metadata.json b/metadata/Passports__34__metadata.json index 875e42ff..fa17209a 100644 --- a/metadata/Passports__34__metadata.json +++ b/metadata/Passports__34__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "passports" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/Passports__35__metadata.json b/metadata/Passports__35__metadata.json index d39fb2fb..eae5d01b 100644 --- a/metadata/Passports__35__metadata.json +++ b/metadata/Passports__35__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "passports" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Passports__3__metadata.json b/metadata/Passports__3__metadata.json deleted file mode 100644 index 0232dde2..00000000 --- a/metadata/Passports__3__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 3, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/Passports/22.4.0/passports_package.zip" -} diff --git a/metadata/Passports__4__metadata.json b/metadata/Passports__4__metadata.json index ccc3cf67..8d64c6d7 100644 --- a/metadata/Passports__4__metadata.json +++ b/metadata/Passports__4__metadata.json @@ -21,5 +21,6 @@ "languageVersion": 4, "version": 4, "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/Passports/22.4.1/passports_package.zip" -} + "contentUri": "https:///publicmodels/AIC/Passports/22.4.1/passports_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/Passports__5__metadata.json b/metadata/Passports__5__metadata.json deleted file mode 100644 index 0db5dbbb..00000000 --- a/metadata/Passports__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__6__metadata.json b/metadata/Passports__6__metadata.json deleted file mode 100644 index 65e835d6..00000000 --- a/metadata/Passports__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__7__metadata.json b/metadata/Passports__7__metadata.json deleted file mode 100644 index 6fb495c9..00000000 --- a/metadata/Passports__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__8__metadata.json b/metadata/Passports__8__metadata.json deleted file mode 100644 index 90dbf6b2..00000000 --- a/metadata/Passports__8__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} diff --git a/metadata/Passports__9__metadata.json b/metadata/Passports__9__metadata.json deleted file mode 100644 index c259e456..00000000 --- a/metadata/Passports__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "changeLog": "", - "cpu": 1, - "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "displayName": "Passports", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "Passports", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": true, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "passports" - } - ] -} - diff --git a/metadata/Payslips__10__metadata.json b/metadata/Payslips__10__metadata.json deleted file mode 100644 index 63faf53c..00000000 --- a/metadata/Payslips__10__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/Payslips__12__metadata.json b/metadata/Payslips__12__metadata.json deleted file mode 100644 index b09780e3..00000000 --- a/metadata/Payslips__12__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/Payslips__13__metadata.json b/metadata/Payslips__13__metadata.json deleted file mode 100644 index 76e9a121..00000000 --- a/metadata/Payslips__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} diff --git a/metadata/Payslips__14__metadata.json b/metadata/Payslips__14__metadata.json deleted file mode 100644 index f9a513c3..00000000 --- a/metadata/Payslips__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} diff --git a/metadata/Payslips__15__metadata.json b/metadata/Payslips__15__metadata.json deleted file mode 100644 index 0662d76f..00000000 --- a/metadata/Payslips__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} diff --git a/metadata/Payslips__16__metadata.json b/metadata/Payslips__16__metadata.json deleted file mode 100644 index a74c71a4..00000000 --- a/metadata/Payslips__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} diff --git a/metadata/Payslips__17__metadata.json b/metadata/Payslips__17__metadata.json deleted file mode 100644 index a2313182..00000000 --- a/metadata/Payslips__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} diff --git a/metadata/Payslips__20__metadata.json b/metadata/Payslips__20__metadata.json index ab03b10b..9cc9bc5b 100644 --- a/metadata/Payslips__20__metadata.json +++ b/metadata/Payslips__20__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "payslips" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Payslips__2__metadata.json b/metadata/Payslips__2__metadata.json deleted file mode 100644 index a25e7d71..00000000 --- a/metadata/Payslips__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/Payslips__5__metadata.json b/metadata/Payslips__5__metadata.json deleted file mode 100644 index edc01809..00000000 --- a/metadata/Payslips__5__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/Payslips__6__metadata.json b/metadata/Payslips__6__metadata.json deleted file mode 100644 index ed2fe8cd..00000000 --- a/metadata/Payslips__6__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/Payslips__7__metadata.json b/metadata/Payslips__7__metadata.json deleted file mode 100644 index 4aec0259..00000000 --- a/metadata/Payslips__7__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/Payslips__8__metadata.json b/metadata/Payslips__8__metadata.json deleted file mode 100644 index 89ee59dc..00000000 --- a/metadata/Payslips__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/Payslips__9__metadata.json b/metadata/Payslips__9__metadata.json deleted file mode 100644 index 40b461b3..00000000 --- a/metadata/Payslips__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Payslips", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Payslips. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Payslips", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "payslips" - } - ] -} - diff --git a/metadata/PurchaseOrders__10__metadata.json b/metadata/PurchaseOrders__10__metadata.json index 726869bb..0d35cd33 100644 --- a/metadata/PurchaseOrders__10__metadata.json +++ b/metadata/PurchaseOrders__10__metadata.json @@ -1,25 +1,26 @@ { - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. 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Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/PurchaseOrders/22.4.1/purchase_orders_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/PurchaseOrders__11__metadata.json b/metadata/PurchaseOrders__11__metadata.json deleted file mode 100644 index 1425fa53..00000000 --- a/metadata/PurchaseOrders__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. 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Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 36, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "purchase_orders" - } - ] -} diff --git a/metadata/PurchaseOrders__37__metadata.json b/metadata/PurchaseOrders__37__metadata.json deleted file mode 100644 index 7d456a6b..00000000 --- a/metadata/PurchaseOrders__37__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 37, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "purchase_orders" - } - ] -} diff --git a/metadata/PurchaseOrders__38__metadata.json b/metadata/PurchaseOrders__38__metadata.json deleted file mode 100644 index b45a3bcf..00000000 --- a/metadata/PurchaseOrders__38__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 38, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "purchase_orders" - } - ] -} diff --git a/metadata/PurchaseOrders__39__metadata.json b/metadata/PurchaseOrders__39__metadata.json index 64e48b7d..33bb37a1 100644 --- a/metadata/PurchaseOrders__39__metadata.json +++ b/metadata/PurchaseOrders__39__metadata.json @@ -30,4 +30,4 @@ "value": "purchase_orders" } ] -} +} \ No newline at end of file diff --git a/metadata/PurchaseOrders__40__metadata.json b/metadata/PurchaseOrders__40__metadata.json index d9f170dc..be119b82 100644 --- a/metadata/PurchaseOrders__40__metadata.json +++ b/metadata/PurchaseOrders__40__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "purchase_orders" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/PurchaseOrders__41__metadata.json b/metadata/PurchaseOrders__41__metadata.json index f66a2741..51a58ade 100644 --- a/metadata/PurchaseOrders__41__metadata.json +++ b/metadata/PurchaseOrders__41__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "purchase_orders" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/PurchaseOrders__7__metadata.json b/metadata/PurchaseOrders__7__metadata.json deleted file mode 100644 index 9aba8727..00000000 --- a/metadata/PurchaseOrders__7__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.6", - "cpu": 0, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 7, - "contentUri": "https:///publicmodels/AIC/PurchaseOrders/7/purchase_orders_package.zip" -} diff --git a/metadata/PurchaseOrders__8__metadata.json b/metadata/PurchaseOrders__8__metadata.json deleted file mode 100644 index b5697a39..00000000 --- a/metadata/PurchaseOrders__8__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 8, - "contentUri": "https:///publicmodels/AIC/PurchaseOrders/21.10.10/purchase_orders_package.zip" -} diff --git a/metadata/PurchaseOrders__9__metadata.json b/metadata/PurchaseOrders__9__metadata.json deleted file mode 100644 index 50592f5d..00000000 --- a/metadata/PurchaseOrders__9__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "PurchaseOrders", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "PurchaseOrders", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 9, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/PurchaseOrders/22.4.0/purchase_orders_package.zip" -} diff --git a/metadata/Receipts__10__metadata.json b/metadata/Receipts__10__metadata.json deleted file mode 100644 index 31afc2ad..00000000 --- a/metadata/Receipts__10__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 10, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/Receipts/22.4.0/receipts_package.zip" -} diff --git a/metadata/Receipts__11__metadata.json b/metadata/Receipts__11__metadata.json index 3fdc8bc9..422d8aa3 100644 --- a/metadata/Receipts__11__metadata.json +++ b/metadata/Receipts__11__metadata.json @@ -1,25 +1,26 @@ { - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 11, - "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/Receipts/22.4.1/receipts_package.zip" -} + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 11, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/Receipts/22.4.1/receipts_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/Receipts__12__metadata.json b/metadata/Receipts__12__metadata.json deleted file mode 100644 index debb9d02..00000000 --- a/metadata/Receipts__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] -} diff --git a/metadata/Receipts__13__metadata.json b/metadata/Receipts__13__metadata.json deleted file mode 100644 index dac88bf2..00000000 --- a/metadata/Receipts__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] -} diff --git a/metadata/Receipts__14__metadata.json b/metadata/Receipts__14__metadata.json deleted file mode 100644 index 29bbf003..00000000 --- a/metadata/Receipts__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] -} diff --git a/metadata/Receipts__15__metadata.json b/metadata/Receipts__15__metadata.json deleted file mode 100644 index bb831e9d..00000000 --- a/metadata/Receipts__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] -} diff --git a/metadata/Receipts__16__metadata.json b/metadata/Receipts__16__metadata.json deleted file mode 100644 index 47529a13..00000000 --- a/metadata/Receipts__16__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 37, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] -} diff --git a/metadata/Receipts__38__metadata.json b/metadata/Receipts__38__metadata.json deleted file mode 100644 index cec59473..00000000 --- a/metadata/Receipts__38__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 38, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] -} diff --git a/metadata/Receipts__39__metadata.json b/metadata/Receipts__39__metadata.json deleted file mode 100644 index 2b0a62fe..00000000 --- a/metadata/Receipts__39__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 39, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "receipts" - } - ] -} diff --git a/metadata/Receipts__40__metadata.json b/metadata/Receipts__40__metadata.json index c39f62c9..e4684d35 100644 --- a/metadata/Receipts__40__metadata.json +++ b/metadata/Receipts__40__metadata.json @@ -30,4 +30,4 @@ "value": "receipts" } ] -} +} \ No newline at end of file diff --git a/metadata/Receipts__41__metadata.json b/metadata/Receipts__41__metadata.json index 8280a7c4..5aebf4a3 100644 --- a/metadata/Receipts__41__metadata.json +++ b/metadata/Receipts__41__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "receipts" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/Receipts__42__metadata.json b/metadata/Receipts__42__metadata.json index b97e20d3..1e6599b9 100644 --- a/metadata/Receipts__42__metadata.json +++ b/metadata/Receipts__42__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "receipts" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/Receipts__8__metadata.json b/metadata/Receipts__8__metadata.json deleted file mode 100644 index 24381219..00000000 --- a/metadata/Receipts__8__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.6", - "cpu": 0, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 8, - "contentUri": "https:///publicmodels/AIC/Receipts/8/receipts_package.zip" -} diff --git a/metadata/Receipts__9__metadata.json b/metadata/Receipts__9__metadata.json deleted file mode 100644 index 4fc315e7..00000000 --- a/metadata/Receipts__9__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "Receipts", - "retrainable": true, - "gpu": 1, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "Receipts", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 9, - "contentUri": "https:///publicmodels/AIC/Receipts/21.10.10/receipts_package.zip" -} diff --git a/metadata/RemittanceAdvices__10__metadata.json b/metadata/RemittanceAdvices__10__metadata.json deleted file mode 100644 index c2c672d9..00000000 --- a/metadata/RemittanceAdvices__10__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__11__metadata.json b/metadata/RemittanceAdvices__11__metadata.json deleted file mode 100644 index 28eb5b66..00000000 --- a/metadata/RemittanceAdvices__11__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__12__metadata.json b/metadata/RemittanceAdvices__12__metadata.json deleted file mode 100644 index 4a40e7ea..00000000 --- a/metadata/RemittanceAdvices__12__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__13__metadata.json b/metadata/RemittanceAdvices__13__metadata.json deleted file mode 100644 index 5507fdce..00000000 --- a/metadata/RemittanceAdvices__13__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__14__metadata.json b/metadata/RemittanceAdvices__14__metadata.json deleted file mode 100644 index 271c73ab..00000000 --- a/metadata/RemittanceAdvices__14__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__15__metadata.json b/metadata/RemittanceAdvices__15__metadata.json deleted file mode 100644 index 6c408e71..00000000 --- a/metadata/RemittanceAdvices__15__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__16__metadata.json b/metadata/RemittanceAdvices__16__metadata.json deleted file mode 100644 index 755bd921..00000000 --- a/metadata/RemittanceAdvices__16__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__17__metadata.json b/metadata/RemittanceAdvices__17__metadata.json deleted file mode 100644 index 10d53ad0..00000000 --- a/metadata/RemittanceAdvices__17__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__18__metadata.json b/metadata/RemittanceAdvices__18__metadata.json deleted file mode 100644 index ec73ef8c..00000000 --- a/metadata/RemittanceAdvices__18__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__19__metadata.json b/metadata/RemittanceAdvices__19__metadata.json deleted file mode 100644 index 0ce80a3a..00000000 --- a/metadata/RemittanceAdvices__19__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__1__metadata.json b/metadata/RemittanceAdvices__1__metadata.json deleted file mode 100644 index 0cd5960a..00000000 --- a/metadata/RemittanceAdvices__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 1, - "contentUri": "https:///publicmodels/AIC/RemittanceAdvices/21.10.10/remittance_advices_package.zip" -} diff --git a/metadata/RemittanceAdvices__20__metadata.json b/metadata/RemittanceAdvices__20__metadata.json deleted file mode 100644 index 6464c915..00000000 --- a/metadata/RemittanceAdvices__20__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__21__metadata.json b/metadata/RemittanceAdvices__21__metadata.json deleted file mode 100644 index de0bdda6..00000000 --- a/metadata/RemittanceAdvices__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__22__metadata.json b/metadata/RemittanceAdvices__22__metadata.json deleted file mode 100644 index 3df66c40..00000000 --- a/metadata/RemittanceAdvices__22__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__23__metadata.json b/metadata/RemittanceAdvices__23__metadata.json deleted file mode 100644 index bdff4e4f..00000000 --- a/metadata/RemittanceAdvices__23__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__24__metadata.json b/metadata/RemittanceAdvices__24__metadata.json deleted file mode 100644 index 7d3ed9ea..00000000 --- a/metadata/RemittanceAdvices__24__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__25__metadata.json b/metadata/RemittanceAdvices__25__metadata.json deleted file mode 100644 index 1dff539d..00000000 --- a/metadata/RemittanceAdvices__25__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__26__metadata.json b/metadata/RemittanceAdvices__26__metadata.json index dd01fb36..82ab8e9f 100644 --- a/metadata/RemittanceAdvices__26__metadata.json +++ b/metadata/RemittanceAdvices__26__metadata.json @@ -1,33 +1,34 @@ { - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/RemittanceAdvices__27__metadata.json b/metadata/RemittanceAdvices__27__metadata.json deleted file mode 100644 index 4be7d589..00000000 --- a/metadata/RemittanceAdvices__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__28__metadata.json b/metadata/RemittanceAdvices__28__metadata.json deleted file mode 100644 index 86e912fd..00000000 --- a/metadata/RemittanceAdvices__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__29__metadata.json b/metadata/RemittanceAdvices__29__metadata.json deleted file mode 100644 index c39a008a..00000000 --- a/metadata/RemittanceAdvices__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__2__metadata.json b/metadata/RemittanceAdvices__2__metadata.json deleted file mode 100644 index 5c92018b..00000000 --- a/metadata/RemittanceAdvices__2__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 2, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/RemittanceAdvices/22.4.0/remittance_advices_package.zip" -} diff --git a/metadata/RemittanceAdvices__30__metadata.json b/metadata/RemittanceAdvices__30__metadata.json deleted file mode 100644 index 70264fc5..00000000 --- a/metadata/RemittanceAdvices__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__31__metadata.json b/metadata/RemittanceAdvices__31__metadata.json deleted file mode 100644 index bce305da..00000000 --- a/metadata/RemittanceAdvices__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__32__metadata.json b/metadata/RemittanceAdvices__32__metadata.json index 8c4a6de8..ac69608d 100644 --- a/metadata/RemittanceAdvices__32__metadata.json +++ b/metadata/RemittanceAdvices__32__metadata.json @@ -30,4 +30,4 @@ "value": "remittance_advices" } ] -} +} \ No newline at end of file diff --git a/metadata/RemittanceAdvices__33__metadata.json b/metadata/RemittanceAdvices__33__metadata.json index 69f8e9c0..b017fdbb 100644 --- a/metadata/RemittanceAdvices__33__metadata.json +++ b/metadata/RemittanceAdvices__33__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "remittance_advices" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/RemittanceAdvices__34__metadata.json b/metadata/RemittanceAdvices__34__metadata.json index dc96fb40..5d0b0f64 100644 --- a/metadata/RemittanceAdvices__34__metadata.json +++ b/metadata/RemittanceAdvices__34__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "remittance_advices" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/RemittanceAdvices__3__metadata.json b/metadata/RemittanceAdvices__3__metadata.json index a8b0fb0d..05a1eeb1 100644 --- a/metadata/RemittanceAdvices__3__metadata.json +++ b/metadata/RemittanceAdvices__3__metadata.json @@ -1,25 +1,26 @@ { - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/RemittanceAdvices/22.4.1/remittance_advices_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/RemittanceAdvices__4__metadata.json b/metadata/RemittanceAdvices__4__metadata.json deleted file mode 100644 index dbe9ee21..00000000 --- a/metadata/RemittanceAdvices__4__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__6__metadata.json b/metadata/RemittanceAdvices__6__metadata.json deleted file mode 100644 index 1d411354..00000000 --- a/metadata/RemittanceAdvices__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__7__metadata.json b/metadata/RemittanceAdvices__7__metadata.json deleted file mode 100644 index c6d7e9ea..00000000 --- a/metadata/RemittanceAdvices__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} diff --git a/metadata/RemittanceAdvices__8__metadata.json b/metadata/RemittanceAdvices__8__metadata.json deleted file mode 100644 index f754fab3..00000000 --- a/metadata/RemittanceAdvices__8__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/RemittanceAdvices__9__metadata.json b/metadata/RemittanceAdvices__9__metadata.json deleted file mode 100644 index 8d2183d3..00000000 --- a/metadata/RemittanceAdvices__9__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "RemittanceAdvices", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "RemittanceAdvices", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "remittance_advices" - } - ] -} - diff --git a/metadata/TPOTAutoMLRegression__1__metadata.json b/metadata/TPOTAutoMLRegression__1__metadata.json index 2ea24858..47e2b946 100644 --- a/metadata/TPOTAutoMLRegression__1__metadata.json +++ b/metadata/TPOTAutoMLRegression__1__metadata.json @@ -1,24 +1,24 @@ { - "name": "TPOTAutoMLRegression", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Please train this ML Package before deploying it as it will not return anything otherwise. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users. TPOT uses the following set of models and pre-processing steps in its optimizations process: https://github.com/EpistasisLab/tpot/blob/master/tpot/config/regressor.py", - "inputDescription": "Features used by the model to make predictions. For example: [{ \"Feature1\": 12, \"Feature2\": 222, . . \"FeatureN\": 110 }]", - "outputDescription": "String with list of predictions: \"[12, 12, 2, 354, 12, 2]\"", - "changeLog": "Move to Python 3.8", - "cpu": 1, - "inputType": "JSON", - "displayName": "TPOTAutoMLRegression", - "memory": 0, - "mlPackageLanguage": "PYTHON38", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "Tabular Data", - "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", - "tenantName": "Open-Source Packages", - "minAIFabricVersion": "v21.10", - "version": 1, - "customVersion": "22.12.0", - "contentUri": "https:///publicmodels/AIC/TPOTAutoMLRegression/22.12/TPOTAutoMLRegression.zip" -} + "name": "TPOTAutoMLRegression", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Please train this ML Package before deploying it as it will not return anything otherwise. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT will automate the most tedious part of machine learning by intelligently exploring thousands of possible pipelines to find the best one for your data. Once TPOT is finished searching (or you get tired of waiting), it provides you with the Python code for the best pipeline it found so you can tinker with the pipeline from there. TPOT is built on top of scikit-learn, so all the code it generates should look familiar to scikit-learn users. TPOT uses the following set of models and pre-processing steps in its optimizations process: https://github.com/EpistasisLab/tpot/blob/master/tpot/config/regressor.py", + "inputDescription": "Features used by the model to make predictions. For example: [{ \"Feature1\": 12, \"Feature2\": 222, . . \"FeatureN\": 110 }]", + "outputDescription": "String with list of predictions: \"[12, 12, 2, 354, 12, 2]\"", + "changeLog": "Move to Python 3.8", + "cpu": 1, + "inputType": "JSON", + "displayName": "TPOTAutoMLRegression", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "Tabular Data", + "projectDescription": "Models for analyzing tabular data including classification and regression ML Packages", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "version": 1, + "customVersion": "22.12.0", + "contentUri": "https:///publicmodels/AIC/TPOTAutoMLRegression/22.12/TPOTAutoMLRegression.zip" +} \ No newline at end of file diff --git a/metadata/UB04__1__metadata.json b/metadata/UB04__1__metadata.json deleted file mode 100644 index f297bc92..00000000 --- a/metadata/UB04__1__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UB04", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UB04", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "ub04" - } - ] -} - diff --git a/metadata/UB04__2__metadata.json b/metadata/UB04__2__metadata.json deleted file mode 100644 index 606d056b..00000000 --- a/metadata/UB04__2__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UB04", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UB04", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "ub04" - } - ] -} - diff --git a/metadata/UB04__3__metadata.json b/metadata/UB04__3__metadata.json deleted file mode 100644 index ff2d0866..00000000 --- a/metadata/UB04__3__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UB04", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UB04", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "ub04" - } - ] -} - diff --git a/metadata/UB04__4__metadata.json b/metadata/UB04__4__metadata.json deleted file mode 100644 index f8b256be..00000000 --- a/metadata/UB04__4__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UB04", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UB04", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "ub04" - } - ] -} - diff --git a/metadata/UB04__5__metadata.json b/metadata/UB04__5__metadata.json deleted file mode 100644 index d7ecfb67..00000000 --- a/metadata/UB04__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UB04", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UB04", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 5, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "ub04" - } - ] -} diff --git a/metadata/UB04__6__metadata.json b/metadata/UB04__6__metadata.json deleted file mode 100644 index e1c80ccd..00000000 --- a/metadata/UB04__6__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UB04", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UB04", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "ub04" - } - ] -} diff --git a/metadata/UB04__7__metadata.json b/metadata/UB04__7__metadata.json deleted file mode 100644 index 5da503f1..00000000 --- a/metadata/UB04__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UB04", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UB04", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 7, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "ub04" - } - ] -} diff --git a/metadata/UB04__8__metadata.json b/metadata/UB04__8__metadata.json index 26a4eb30..cfe5f0ae 100644 --- a/metadata/UB04__8__metadata.json +++ b/metadata/UB04__8__metadata.json @@ -30,4 +30,4 @@ "value": "ub04" } ] -} +} \ No newline at end of file diff --git a/metadata/UB04__9__metadata.json b/metadata/UB04__9__metadata.json index 2ba4c4ea..7257d88a 100644 --- a/metadata/UB04__9__metadata.json +++ b/metadata/UB04__9__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "ub04" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR_CPU__10__metadata.json b/metadata/UiPathDocumentOCR_CPU__10__metadata.json deleted file mode 100644 index ec1bc1e6..00000000 --- a/metadata/UiPathDocumentOCR_CPU__10__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "22.10.9", - "imagePath": "du-doc-ocr-cpu:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__11__metadata.json b/metadata/UiPathDocumentOCR_CPU__11__metadata.json deleted file mode 100644 index 8fa7f741..00000000 --- a/metadata/UiPathDocumentOCR_CPU__11__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "23.10.2", - "imagePath": "du-doc-ocr-cpu:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__12__metadata.json b/metadata/UiPathDocumentOCR_CPU__12__metadata.json deleted file mode 100644 index 6b407f76..00000000 --- a/metadata/UiPathDocumentOCR_CPU__12__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "22.10.11", - "imagePath": "du-doc-ocr-cpu:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__13__metadata.json b/metadata/UiPathDocumentOCR_CPU__13__metadata.json deleted file mode 100644 index 4ef231bc..00000000 --- a/metadata/UiPathDocumentOCR_CPU__13__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.10.4", - "imagePath": "du-doc-ocr-cpu:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__14__metadata.json b/metadata/UiPathDocumentOCR_CPU__14__metadata.json deleted file mode 100644 index 50f3ce87..00000000 --- a/metadata/UiPathDocumentOCR_CPU__14__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.4.7", - "imagePath": "du-doc-ocr-cpu:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__15__metadata.json b/metadata/UiPathDocumentOCR_CPU__15__metadata.json deleted file mode 100644 index 0e450553..00000000 --- a/metadata/UiPathDocumentOCR_CPU__15__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "22.10.12", - "imagePath": "du-doc-ocr-cpu:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__16__metadata.json b/metadata/UiPathDocumentOCR_CPU__16__metadata.json deleted file mode 100644 index 9196b324..00000000 --- a/metadata/UiPathDocumentOCR_CPU__16__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.13", - "imagePath": "du-doc-ocr-cpu:v22.10-rc14", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__17__metadata.json b/metadata/UiPathDocumentOCR_CPU__17__metadata.json deleted file mode 100644 index dce05063..00000000 --- a/metadata/UiPathDocumentOCR_CPU__17__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.4.8", - "imagePath": "du-doc-ocr-cpu:v23.4-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__18__metadata.json b/metadata/UiPathDocumentOCR_CPU__18__metadata.json deleted file mode 100644 index 83c4fea8..00000000 --- a/metadata/UiPathDocumentOCR_CPU__18__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.10.5", - "imagePath": "du-doc-ocr-cpu:v23.10-rc28", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR_CPU__19__metadata.json b/metadata/UiPathDocumentOCR_CPU__19__metadata.json index 3e68af85..e638fd3d 100644 --- a/metadata/UiPathDocumentOCR_CPU__19__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__19__metadata.json @@ -1,26 +1,27 @@ { - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.14", - "imagePath": "du-doc-ocr-cpu:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 19, + "customVersion": "22.10.14", + "imagePath": "du-doc-ocr-cpu:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR_CPU__1__metadata.json b/metadata/UiPathDocumentOCR_CPU__1__metadata.json deleted file mode 100644 index 0f4899dc..00000000 --- a/metadata/UiPathDocumentOCR_CPU__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Model: 22.2.4", - "cpu": 0, - "description": "Machine Learning model for extracting text, checkboxes/radio buttons and English handwriting from Documents. This model is optimized and will only run on CPU. Please see more details in the documentation page here: https://docs.uipath.com/document-understanding/docs/ml-packages.", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10.1", - "languageVersion": 3, - "version": 1, - "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR_CPU/22.2.4/ocr_aif_cpu_package.zip" -} diff --git a/metadata/UiPathDocumentOCR_CPU__20__metadata.json b/metadata/UiPathDocumentOCR_CPU__20__metadata.json deleted file mode 100644 index 70bb25e5..00000000 --- a/metadata/UiPathDocumentOCR_CPU__20__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.4.9", - "imagePath": "du-doc-ocr-cpu:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__21__metadata.json b/metadata/UiPathDocumentOCR_CPU__21__metadata.json deleted file mode 100644 index e61d709d..00000000 --- a/metadata/UiPathDocumentOCR_CPU__21__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.10.6", - "imagePath": "du-doc-ocr-cpu:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__22__metadata.json b/metadata/UiPathDocumentOCR_CPU__22__metadata.json deleted file mode 100644 index b35a298e..00000000 --- a/metadata/UiPathDocumentOCR_CPU__22__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "24.10.0", - "imagePath": "du-doc-ocr-cpu:v24.10-10.03-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__23__metadata.json b/metadata/UiPathDocumentOCR_CPU__23__metadata.json deleted file mode 100644 index e07c7ac1..00000000 --- a/metadata/UiPathDocumentOCR_CPU__23__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "23.4.10", - "imagePath": "du-doc-ocr-cpu:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__24__metadata.json b/metadata/UiPathDocumentOCR_CPU__24__metadata.json deleted file mode 100644 index 2808a4f7..00000000 --- a/metadata/UiPathDocumentOCR_CPU__24__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "24.10.1", - "imagePath": "du-doc-ocr-cpu:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__25__metadata.json b/metadata/UiPathDocumentOCR_CPU__25__metadata.json index 0de10286..c3604800 100644 --- a/metadata/UiPathDocumentOCR_CPU__25__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__25__metadata.json @@ -23,4 +23,4 @@ "customVersion": "24.10.2", "imagePath": "du-doc-ocr-cpu:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR_CPU__26__metadata.json b/metadata/UiPathDocumentOCR_CPU__26__metadata.json index 34193571..2418c42e 100644 --- a/metadata/UiPathDocumentOCR_CPU__26__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__26__metadata.json @@ -22,5 +22,6 @@ "version": 26, "customVersion": "23.4.11", "imagePath": "du-doc-ocr-cpu:v23.4-01.27-rc01", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR_CPU__27__metadata.json b/metadata/UiPathDocumentOCR_CPU__27__metadata.json index d2f71393..6dea7095 100644 --- a/metadata/UiPathDocumentOCR_CPU__27__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__27__metadata.json @@ -22,5 +22,6 @@ "version": 27, "customVersion": "23.10.8", "imagePath": "du-doc-ocr-cpu:v23.10-01.28-rc07", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR_CPU__2__metadata.json b/metadata/UiPathDocumentOCR_CPU__2__metadata.json deleted file mode 100644 index 189c4404..00000000 --- a/metadata/UiPathDocumentOCR_CPU__2__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 2, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR_CPU/22.4.0/ocr_aif_cpu_package.zip" -} diff --git a/metadata/UiPathDocumentOCR_CPU__3__metadata.json b/metadata/UiPathDocumentOCR_CPU__3__metadata.json deleted file mode 100644 index 848d912c..00000000 --- a/metadata/UiPathDocumentOCR_CPU__3__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR_CPU", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "CPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "22.10.0", - "imagePath": "du-doc-ocr-cpu:22.10.0-sf-rc5", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR_CPU__4__metadata.json b/metadata/UiPathDocumentOCR_CPU__4__metadata.json deleted file mode 100644 index c0906162..00000000 --- a/metadata/UiPathDocumentOCR_CPU__4__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR_CPU", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. 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In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.0", - "imagePath": "du-doc-ocr:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__15__metadata.json b/metadata/UiPathDocumentOCR__15__metadata.json deleted file mode 100644 index f1114d5f..00000000 --- a/metadata/UiPathDocumentOCR__15__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "22.10.9", - "imagePath": "du-doc-ocr:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__16__metadata.json b/metadata/UiPathDocumentOCR__16__metadata.json deleted file mode 100644 index 2007dff0..00000000 --- a/metadata/UiPathDocumentOCR__16__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "23.10.2", - "imagePath": "du-doc-ocr:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__17__metadata.json b/metadata/UiPathDocumentOCR__17__metadata.json deleted file mode 100644 index f51e24d8..00000000 --- a/metadata/UiPathDocumentOCR__17__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.3", - "imagePath": "du-doc-ocr:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__18__metadata.json b/metadata/UiPathDocumentOCR__18__metadata.json deleted file mode 100644 index 1da42e34..00000000 --- a/metadata/UiPathDocumentOCR__18__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "22.10.11", - "imagePath": "du-doc-ocr:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__19__metadata.json b/metadata/UiPathDocumentOCR__19__metadata.json deleted file mode 100644 index b7a0edf3..00000000 --- a/metadata/UiPathDocumentOCR__19__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "23.10.4", - "imagePath": "du-doc-ocr:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__20__metadata.json b/metadata/UiPathDocumentOCR__20__metadata.json deleted file mode 100644 index edac3e20..00000000 --- a/metadata/UiPathDocumentOCR__20__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.4.7", - "imagePath": "du-doc-ocr:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__21__metadata.json b/metadata/UiPathDocumentOCR__21__metadata.json deleted file mode 100644 index 10de5992..00000000 --- a/metadata/UiPathDocumentOCR__21__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "22.10.12", - "imagePath": "du-doc-ocr:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__22__metadata.json b/metadata/UiPathDocumentOCR__22__metadata.json deleted file mode 100644 index 6e2b668b..00000000 --- a/metadata/UiPathDocumentOCR__22__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "22.10.13", - "imagePath": "du-doc-ocr:v22.10-rc14", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__23__metadata.json b/metadata/UiPathDocumentOCR__23__metadata.json deleted file mode 100644 index 9a55554d..00000000 --- a/metadata/UiPathDocumentOCR__23__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "23.4.8", - "imagePath": "du-doc-ocr:v23.4-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__24__metadata.json b/metadata/UiPathDocumentOCR__24__metadata.json deleted file mode 100644 index 3e273c94..00000000 --- a/metadata/UiPathDocumentOCR__24__metadata.json +++ /dev/null @@ -1,27 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.10.5", - "imagePath": "du-doc-ocr:v23.10-rc28", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} - diff --git a/metadata/UiPathDocumentOCR__25__metadata.json b/metadata/UiPathDocumentOCR__25__metadata.json index 0a03a54d..8912a272 100644 --- a/metadata/UiPathDocumentOCR__25__metadata.json +++ b/metadata/UiPathDocumentOCR__25__metadata.json @@ -1,26 +1,27 @@ { - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "22.10.14", - "imagePath": "du-doc-ocr:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "22.10.14", + "imagePath": "du-doc-ocr:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__26__metadata.json b/metadata/UiPathDocumentOCR__26__metadata.json deleted file mode 100644 index a9ae1aee..00000000 --- a/metadata/UiPathDocumentOCR__26__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "23.4.9", - "imagePath": "du-doc-ocr:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__27__metadata.json b/metadata/UiPathDocumentOCR__27__metadata.json deleted file mode 100644 index 3213ebe3..00000000 --- a/metadata/UiPathDocumentOCR__27__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.10.6", - "imagePath": "du-doc-ocr:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__28__metadata.json b/metadata/UiPathDocumentOCR__28__metadata.json deleted file mode 100644 index b6e885ef..00000000 --- a/metadata/UiPathDocumentOCR__28__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.0", - "imagePath": "du-doc-ocr:v24.10-10.03-rc02", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__29__metadata.json b/metadata/UiPathDocumentOCR__29__metadata.json deleted file mode 100644 index 22be9a81..00000000 --- a/metadata/UiPathDocumentOCR__29__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "24.10.1", - "imagePath": "du-doc-ocr:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__30__metadata.json b/metadata/UiPathDocumentOCR__30__metadata.json deleted file mode 100644 index f31376ee..00000000 --- a/metadata/UiPathDocumentOCR__30__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "23.4.10", - "imagePath": "du-doc-ocr:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__31__metadata.json b/metadata/UiPathDocumentOCR__31__metadata.json index 57799a9a..55d8c8c6 100644 --- a/metadata/UiPathDocumentOCR__31__metadata.json +++ b/metadata/UiPathDocumentOCR__31__metadata.json @@ -23,4 +23,4 @@ "customVersion": "24.10.2", "imagePath": "du-doc-ocr:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__32__metadata.json b/metadata/UiPathDocumentOCR__32__metadata.json index 10cdb437..e52c1359 100644 --- a/metadata/UiPathDocumentOCR__32__metadata.json +++ b/metadata/UiPathDocumentOCR__32__metadata.json @@ -22,5 +22,6 @@ "version": 32, "customVersion": "23.4.11", "imagePath": "du-doc-ocr:v23.4-01.27-rc01", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__33__metadata.json b/metadata/UiPathDocumentOCR__33__metadata.json index 6b84928a..b20a5bde 100644 --- a/metadata/UiPathDocumentOCR__33__metadata.json +++ b/metadata/UiPathDocumentOCR__33__metadata.json @@ -22,5 +22,6 @@ "version": 33, "customVersion": "23.10.8", "imagePath": "du-doc-ocr:v23.10-01.28-rc07", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__6__metadata.json b/metadata/UiPathDocumentOCR__6__metadata.json deleted file mode 100644 index 13773b39..00000000 --- a/metadata/UiPathDocumentOCR__6__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "changeLog": "Model: 21.10.3", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 6, - "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR/21.10.3.1/ocr_aif_package.zip" -} diff --git a/metadata/UiPathDocumentOCR__7__metadata.json b/metadata/UiPathDocumentOCR__7__metadata.json deleted file mode 100644 index 53c1a31a..00000000 --- a/metadata/UiPathDocumentOCR__7__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 7, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/UiPathDocumentOCR/22.4.0/ocr_aif_package.zip" -} diff --git a/metadata/UiPathDocumentOCR__8__metadata.json b/metadata/UiPathDocumentOCR__8__metadata.json deleted file mode 100644 index d8d58fe9..00000000 --- a/metadata/UiPathDocumentOCR__8__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 8, - "customVersion": "22.10.0", - "imagePath": "du-doc-ocr:22.10.0-sf-rc5", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UiPathDocumentOCR__9__metadata.json b/metadata/UiPathDocumentOCR__9__metadata.json deleted file mode 100644 index 34f6ee21..00000000 --- a/metadata/UiPathDocumentOCR__9__metadata.json +++ /dev/null @@ -1,26 +0,0 @@ -{ - "changeLog": "", - "cpu": 0, - "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", - "displayName": "UiPathDocumentOCR", - "gpu": 0, - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "inputType": "JSON", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "name": "UiPathDocumentOCR", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "processorType": "GPU", - "projectId": "[project-id]", - "retrainable": false, - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 9, - "customVersion": "22.10.2", - "imagePath": "du-doc-ocr:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} diff --git a/metadata/UtilityBills__10__metadata.json b/metadata/UtilityBills__10__metadata.json index 49ffe9ee..48ccd45b 100644 --- a/metadata/UtilityBills__10__metadata.json +++ b/metadata/UtilityBills__10__metadata.json @@ -1,25 +1,26 @@ { - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 10, - "customVersion": "22.4.1", - "contentUri": "https:///publicmodels/AIC/UtilityBills/22.4.1/utility_bills_package.zip" -} + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 10, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/UtilityBills/22.4.1/utility_bills_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/UtilityBills__11__metadata.json b/metadata/UtilityBills__11__metadata.json deleted file mode 100644 index 02a4d7a6..00000000 --- a/metadata/UtilityBills__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__12__metadata.json b/metadata/UtilityBills__12__metadata.json deleted file mode 100644 index b21e3be7..00000000 --- a/metadata/UtilityBills__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__13__metadata.json b/metadata/UtilityBills__13__metadata.json deleted file mode 100644 index 6a8c6b5e..00000000 --- a/metadata/UtilityBills__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__14__metadata.json b/metadata/UtilityBills__14__metadata.json deleted file mode 100644 index 36f4963b..00000000 --- a/metadata/UtilityBills__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__15__metadata.json b/metadata/UtilityBills__15__metadata.json deleted file mode 100644 index bd3ac6d0..00000000 --- a/metadata/UtilityBills__15__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.1", - "imagePath": "du-semistructured:v23.4.1-rc09", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} - diff --git a/metadata/UtilityBills__16__metadata.json b/metadata/UtilityBills__16__metadata.json deleted file mode 100644 index 2ae8a6b6..00000000 --- a/metadata/UtilityBills__16__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} - diff --git a/metadata/UtilityBills__17__metadata.json b/metadata/UtilityBills__17__metadata.json deleted file mode 100644 index 974bea2d..00000000 --- a/metadata/UtilityBills__17__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.4.2", - "imagePath": "du-semistructured:v23.4.2-rc18", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} - diff --git a/metadata/UtilityBills__18__metadata.json b/metadata/UtilityBills__18__metadata.json deleted file mode 100644 index 1a0917b6..00000000 --- a/metadata/UtilityBills__18__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "22.10.7", - "imagePath": "du-semistructured:v22.10.8-rc36", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} - diff --git a/metadata/UtilityBills__19__metadata.json b/metadata/UtilityBills__19__metadata.json deleted file mode 100644 index 42a19b17..00000000 --- a/metadata/UtilityBills__19__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "23.4.3", - "imagePath": "du-semistructured:v23.4.3-rc21", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} - diff --git a/metadata/UtilityBills__20__metadata.json b/metadata/UtilityBills__20__metadata.json deleted file mode 100644 index 3b375bd8..00000000 --- a/metadata/UtilityBills__20__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 32, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} - diff --git a/metadata/UtilityBills__33__metadata.json b/metadata/UtilityBills__33__metadata.json index 3143b2f7..ae21c53f 100644 --- a/metadata/UtilityBills__33__metadata.json +++ b/metadata/UtilityBills__33__metadata.json @@ -1,33 +1,34 @@ { - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 33, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/UtilityBills__34__metadata.json b/metadata/UtilityBills__34__metadata.json deleted file mode 100644 index 4c563a9e..00000000 --- a/metadata/UtilityBills__34__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 34, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__35__metadata.json b/metadata/UtilityBills__35__metadata.json deleted file mode 100644 index 7009b6bd..00000000 --- a/metadata/UtilityBills__35__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 35, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__36__metadata.json b/metadata/UtilityBills__36__metadata.json deleted file mode 100644 index c3ab7676..00000000 --- a/metadata/UtilityBills__36__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 36, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__37__metadata.json b/metadata/UtilityBills__37__metadata.json deleted file mode 100644 index d359e5f8..00000000 --- a/metadata/UtilityBills__37__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 37, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__38__metadata.json b/metadata/UtilityBills__38__metadata.json deleted file mode 100644 index 26591e55..00000000 --- a/metadata/UtilityBills__38__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 38, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "utility_bills" - } - ] -} diff --git a/metadata/UtilityBills__39__metadata.json b/metadata/UtilityBills__39__metadata.json index 183a5290..f474d17c 100644 --- a/metadata/UtilityBills__39__metadata.json +++ b/metadata/UtilityBills__39__metadata.json @@ -30,4 +30,4 @@ "value": "utility_bills" } ] -} +} \ No newline at end of file diff --git a/metadata/UtilityBills__40__metadata.json b/metadata/UtilityBills__40__metadata.json index fa5b475f..723538fc 100644 --- a/metadata/UtilityBills__40__metadata.json +++ b/metadata/UtilityBills__40__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "utility_bills" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/UtilityBills__41__metadata.json b/metadata/UtilityBills__41__metadata.json index 0a936f73..a9f09b7e 100644 --- a/metadata/UtilityBills__41__metadata.json +++ b/metadata/UtilityBills__41__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "utility_bills" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/UtilityBills__7__metadata.json b/metadata/UtilityBills__7__metadata.json deleted file mode 100644 index 2d83072b..00000000 --- a/metadata/UtilityBills__7__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.5.6", - "cpu": 0, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 2, - "version": 7, - "contentUri": "https:///publicmodels/AIC/UtilityBills/7/utility_bills_package.zip" -} diff --git a/metadata/UtilityBills__8__metadata.json b/metadata/UtilityBills__8__metadata.json deleted file mode 100644 index 4dc48a6b..00000000 --- a/metadata/UtilityBills__8__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "Model: 21.10.10", - "cpu": 0, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "v21.10", - "languageVersion": 3, - "version": 8, - "contentUri": "https:///publicmodels/AIC/UtilityBills/21.10.10/utility_bills_package.zip" -} diff --git a/metadata/UtilityBills__9__metadata.json b/metadata/UtilityBills__9__metadata.json deleted file mode 100644 index 51481238..00000000 --- a/metadata/UtilityBills__9__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "UtilityBills", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "UtilityBills", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 9, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/UtilityBills/22.4.0/utility_bills_package.zip" -} diff --git a/metadata/VehicleTitles__10__metadata.json b/metadata/VehicleTitles__10__metadata.json deleted file mode 100644 index f8f3c0f4..00000000 --- a/metadata/VehicleTitles__10__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 10, - "customVersion": "23.10.0", - "imagePath": "du-semistructured:v23.10.0-rc68", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__11__metadata.json b/metadata/VehicleTitles__11__metadata.json deleted file mode 100644 index 01d54804..00000000 --- a/metadata/VehicleTitles__11__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 11, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__12__metadata.json b/metadata/VehicleTitles__12__metadata.json deleted file mode 100644 index 983d0de3..00000000 --- a/metadata/VehicleTitles__12__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 12, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__13__metadata.json b/metadata/VehicleTitles__13__metadata.json deleted file mode 100644 index 0f4c118d..00000000 --- a/metadata/VehicleTitles__13__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 13, - "customVersion": "23.4.5", - "imagePath": "du-semistructured:v23.4.5-rc72", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__14__metadata.json b/metadata/VehicleTitles__14__metadata.json deleted file mode 100644 index 27608d26..00000000 --- a/metadata/VehicleTitles__14__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "23.10.3", - "imagePath": "du-semistructured:v23.10.3-rc04", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__15__metadata.json b/metadata/VehicleTitles__15__metadata.json deleted file mode 100644 index 1c4fe622..00000000 --- a/metadata/VehicleTitles__15__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__16__metadata.json b/metadata/VehicleTitles__16__metadata.json deleted file mode 100644 index 1ebe8d69..00000000 --- a/metadata/VehicleTitles__16__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 16, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__17__metadata.json b/metadata/VehicleTitles__17__metadata.json deleted file mode 100644 index 7ecfd4d0..00000000 --- a/metadata/VehicleTitles__17__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 17, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__18__metadata.json b/metadata/VehicleTitles__18__metadata.json deleted file mode 100644 index d2a88db3..00000000 --- a/metadata/VehicleTitles__18__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.7", - "imagePath": "du-semistructured:v23.4.7-rc35", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__19__metadata.json b/metadata/VehicleTitles__19__metadata.json deleted file mode 100644 index 00692194..00000000 --- a/metadata/VehicleTitles__19__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__1__metadata.json b/metadata/VehicleTitles__1__metadata.json deleted file mode 100644 index 72400d92..00000000 --- a/metadata/VehicleTitles__1__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 1, - "customVersion": "22.10.0", - "imagePath": "du-semistructured:22.10.0-sf-rc3", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__20__metadata.json b/metadata/VehicleTitles__20__metadata.json deleted file mode 100644 index 1ffc44cf..00000000 --- a/metadata/VehicleTitles__20__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__21__metadata.json b/metadata/VehicleTitles__21__metadata.json deleted file mode 100644 index 9810339f..00000000 --- a/metadata/VehicleTitles__21__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 21, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__22__metadata.json b/metadata/VehicleTitles__22__metadata.json deleted file mode 100644 index 633fef67..00000000 --- a/metadata/VehicleTitles__22__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__23__metadata.json b/metadata/VehicleTitles__23__metadata.json index 27a960ca..e2b83a8a 100644 --- a/metadata/VehicleTitles__23__metadata.json +++ b/metadata/VehicleTitles__23__metadata.json @@ -1,32 +1,33 @@ { - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/VehicleTitles__24__metadata.json b/metadata/VehicleTitles__24__metadata.json deleted file mode 100644 index 56c32797..00000000 --- a/metadata/VehicleTitles__24__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__25__metadata.json b/metadata/VehicleTitles__25__metadata.json deleted file mode 100644 index 04c5dfb1..00000000 --- a/metadata/VehicleTitles__25__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__26__metadata.json b/metadata/VehicleTitles__26__metadata.json deleted file mode 100644 index 7fa6caba..00000000 --- a/metadata/VehicleTitles__26__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__27__metadata.json b/metadata/VehicleTitles__27__metadata.json deleted file mode 100644 index 81afd6e2..00000000 --- a/metadata/VehicleTitles__27__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__28__metadata.json b/metadata/VehicleTitles__28__metadata.json deleted file mode 100644 index f3dd8100..00000000 --- a/metadata/VehicleTitles__28__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__29__metadata.json b/metadata/VehicleTitles__29__metadata.json index 6170fc30..70207bc3 100644 --- a/metadata/VehicleTitles__29__metadata.json +++ b/metadata/VehicleTitles__29__metadata.json @@ -29,4 +29,4 @@ "value": "vehicle_titles" } ] -} +} \ No newline at end of file diff --git a/metadata/VehicleTitles__2__metadata.json b/metadata/VehicleTitles__2__metadata.json deleted file mode 100644 index 798c1733..00000000 --- a/metadata/VehicleTitles__2__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 2, - "customVersion": "22.10.2", - "imagePath": "du-semistructured:22.10.2-sf-rc1", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__30__metadata.json b/metadata/VehicleTitles__30__metadata.json index 7daf3a2d..69d21a38 100644 --- a/metadata/VehicleTitles__30__metadata.json +++ b/metadata/VehicleTitles__30__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "vehicle_titles" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/VehicleTitles__31__metadata.json b/metadata/VehicleTitles__31__metadata.json index 24d57c45..797cc6fd 100644 --- a/metadata/VehicleTitles__31__metadata.json +++ b/metadata/VehicleTitles__31__metadata.json @@ -28,5 +28,6 @@ "type": "STRING", "value": "vehicle_titles" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/VehicleTitles__3__metadata.json b/metadata/VehicleTitles__3__metadata.json deleted file mode 100644 index 88ea14c1..00000000 --- a/metadata/VehicleTitles__3__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 3, - "customVersion": "22.10.4", - "imagePath": "du-semistructured:22.10.4-sf-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__4__metadata.json b/metadata/VehicleTitles__4__metadata.json deleted file mode 100644 index 7e5c98b7..00000000 --- a/metadata/VehicleTitles__4__metadata.json +++ /dev/null @@ -1,32 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 4, - "customVersion": "23.4.0", - "imagePath": "du-semistructured:v23.4.0-rc70", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} diff --git a/metadata/VehicleTitles__5__metadata.json b/metadata/VehicleTitles__5__metadata.json deleted file mode 100644 index 4b6c74f2..00000000 --- a/metadata/VehicleTitles__5__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "cpu": 1, - "inputType": "JSON", - "displayName": "VehicleTitles", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 6, - "customVersion": "22.10.6", - "imagePath": "du-semistructured:v22.10.6-rc2", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "vehicle_titles" - } - ] -} - diff --git a/metadata/VehicleTitles__7__metadata.json b/metadata/VehicleTitles__7__metadata.json deleted file mode 100644 index e24b273e..00000000 --- a/metadata/VehicleTitles__7__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "VehicleTitles", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 14, - "customVersion": "22.10.9", - "imagePath": "du-semistructured:v22.10.9-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} - diff --git a/metadata/W2__15__metadata.json b/metadata/W2__15__metadata.json deleted file mode 100644 index d8cb1eff..00000000 --- a/metadata/W2__15__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 15, - "customVersion": "23.10.2", - "imagePath": "du-semistructured:v23.10.2-rc22", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} - diff --git a/metadata/W2__16__metadata.json b/metadata/W2__16__metadata.json deleted file mode 100644 index 83a1fc2e..00000000 --- a/metadata/W2__16__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} - diff --git a/metadata/W2__25__metadata.json b/metadata/W2__25__metadata.json deleted file mode 100644 index 2515dd26..00000000 --- a/metadata/W2__25__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} - diff --git a/metadata/W2__26__metadata.json b/metadata/W2__26__metadata.json index 53699da2..3efc1506 100644 --- a/metadata/W2__26__metadata.json +++ b/metadata/W2__26__metadata.json @@ -1,33 +1,34 @@ { - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/W2__27__metadata.json b/metadata/W2__27__metadata.json deleted file mode 100644 index 44df580f..00000000 --- a/metadata/W2__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} diff --git a/metadata/W2__28__metadata.json b/metadata/W2__28__metadata.json deleted file mode 100644 index 1972b4f1..00000000 --- a/metadata/W2__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} diff --git a/metadata/W2__29__metadata.json b/metadata/W2__29__metadata.json deleted file mode 100644 index 8df22de9..00000000 --- a/metadata/W2__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} diff --git a/metadata/W2__2__metadata.json b/metadata/W2__2__metadata.json deleted file mode 100644 index 8a1ddce5..00000000 --- a/metadata/W2__2__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 2, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/W2/22.4.0/w2_package.zip" -} diff --git a/metadata/W2__30__metadata.json b/metadata/W2__30__metadata.json deleted file mode 100644 index 6e9c9bab..00000000 --- a/metadata/W2__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} diff --git a/metadata/W2__31__metadata.json b/metadata/W2__31__metadata.json deleted file mode 100644 index ad524ca6..00000000 --- a/metadata/W2__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W2", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w2" - } - ] -} diff --git a/metadata/W2__32__metadata.json b/metadata/W2__32__metadata.json index 66bc88a3..89630e39 100644 --- a/metadata/W2__32__metadata.json +++ b/metadata/W2__32__metadata.json @@ -30,4 +30,4 @@ "value": "w2" } ] -} +} \ No newline at end of file diff --git a/metadata/W2__33__metadata.json b/metadata/W2__33__metadata.json index 87397f16..8f2ebd88 100644 --- a/metadata/W2__33__metadata.json +++ b/metadata/W2__33__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "w2" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/W2__34__metadata.json b/metadata/W2__34__metadata.json index 9cb14a51..6979add5 100644 --- a/metadata/W2__34__metadata.json +++ b/metadata/W2__34__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "w2" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/W2__3__metadata.json b/metadata/W2__3__metadata.json index 18e116cc..c6704d15 100644 --- a/metadata/W2__3__metadata.json +++ b/metadata/W2__3__metadata.json @@ -1,25 +1,26 @@ { - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/W2/22.4.1/w2_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/W2__4__metadata.json b/metadata/W2__4__metadata.json deleted file mode 100644 index 8153bd17..00000000 --- a/metadata/W2__4__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W2", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 18, - "customVersion": "23.4.6", - "imagePath": "du-semistructured:v23.4.5-rc83", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - diff --git a/metadata/W9__19__metadata.json b/metadata/W9__19__metadata.json deleted file mode 100644 index c4741e68..00000000 --- a/metadata/W9__19__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 19, - "customVersion": "22.10.11", - "imagePath": "du-semistructured:v22.10.11-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - diff --git a/metadata/W9__1__metadata.json b/metadata/W9__1__metadata.json deleted file mode 100644 index 0c3b1374..00000000 --- a/metadata/W9__1__metadata.json +++ /dev/null @@ -1,24 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 1, - "processorType": "GPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 20, - "customVersion": "23.10.4", - "imagePath": "du-semistructured:v23.10.4-rc125", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - diff --git a/metadata/W9__21__metadata.json b/metadata/W9__21__metadata.json deleted file mode 100644 index b9c64bbc..00000000 --- a/metadata/W9__21__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 22, - "customVersion": "22.10.12", - "imagePath": "du-semistructured:v22.10.12-rc33", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - diff --git a/metadata/W9__23__metadata.json b/metadata/W9__23__metadata.json deleted file mode 100644 index 3be05a80..00000000 --- a/metadata/W9__23__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 23, - "customVersion": "22.10.13", - "imagePath": "du-semistructured:v22.10-rc14", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - diff --git a/metadata/W9__24__metadata.json b/metadata/W9__24__metadata.json deleted file mode 100644 index 2da6c5ad..00000000 --- a/metadata/W9__24__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 24, - "customVersion": "23.4.8", - "imagePath": "du-semistructured:v23.4-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - diff --git a/metadata/W9__25__metadata.json b/metadata/W9__25__metadata.json deleted file mode 100644 index e01040f5..00000000 --- a/metadata/W9__25__metadata.json +++ /dev/null @@ -1,34 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 25, - "customVersion": "23.10.5", - "imagePath": "du-semistructured:v23.10-rc28", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - diff --git a/metadata/W9__26__metadata.json b/metadata/W9__26__metadata.json index 02e30bd5..8de11788 100644 --- a/metadata/W9__26__metadata.json +++ b/metadata/W9__26__metadata.json @@ -1,33 +1,34 @@ { - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 26, - "customVersion": "22.10.14", - "imagePath": "du-semistructured:v22.10-10.10-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "22.10.14", + "imagePath": "du-semistructured:v22.10-10.10-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ], + "maxAIFabricVersion": "23.4" +} \ No newline at end of file diff --git a/metadata/W9__27__metadata.json b/metadata/W9__27__metadata.json deleted file mode 100644 index 107cc83d..00000000 --- a/metadata/W9__27__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 27, - "customVersion": "23.4.9", - "imagePath": "du-semistructured:v23.4-10.10-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} diff --git a/metadata/W9__28__metadata.json b/metadata/W9__28__metadata.json deleted file mode 100644 index d5d4a545..00000000 --- a/metadata/W9__28__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 28, - "customVersion": "23.10.6", - "imagePath": "du-semistructured:v23.10-09.25-rc08", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} diff --git a/metadata/W9__29__metadata.json b/metadata/W9__29__metadata.json deleted file mode 100644 index bda9ae79..00000000 --- a/metadata/W9__29__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -\u003e Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 29, - "customVersion": "24.10.0", - "imagePath": "du-semistructured:v24.10-10.17-rc02", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} diff --git a/metadata/W9__2__metadata.json b/metadata/W9__2__metadata.json deleted file mode 100644 index 9c8dc1de..00000000 --- a/metadata/W9__2__metadata.json +++ /dev/null @@ -1,25 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.4", - "languageVersion": 4, - "version": 2, - "customVersion": "22.4.0", - "contentUri": "https:///publicmodels/AIC/W9/22.4.0/w9_package.zip" -} diff --git a/metadata/W9__30__metadata.json b/metadata/W9__30__metadata.json deleted file mode 100644 index 92e08c54..00000000 --- a/metadata/W9__30__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 30, - "customVersion": "23.4.10", - "imagePath": "du-semistructured:v23.4-11.15-rc01", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} diff --git a/metadata/W9__31__metadata.json b/metadata/W9__31__metadata.json deleted file mode 100644 index 458adc2e..00000000 --- a/metadata/W9__31__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", - "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", - "changeLog": "", - "cpu": 1, - "inputType": "JSON", - "displayName": "W9", - "memory": 0, - "mlPackageLanguage": "PYTHON37_DU", - "projectId": "[project-id]", - "stagingUri": "[staging-uri]", - "projectName": "UiPath Document Understanding", - "projectDescription": "UiPath models to classify and extract information from images and pdfs.", - "tenantName": "UiPath", - "minAIFabricVersion": "22.10", - "languageVersion": 4, - "version": 31, - "customVersion": "24.10.1", - "imagePath": "du-semistructured:v24.10-11.21-rc12", - "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} diff --git a/metadata/W9__32__metadata.json b/metadata/W9__32__metadata.json index e7122ce7..f19a830c 100644 --- a/metadata/W9__32__metadata.json +++ b/metadata/W9__32__metadata.json @@ -30,4 +30,4 @@ "value": "w9" } ] -} +} \ No newline at end of file diff --git a/metadata/W9__33__metadata.json b/metadata/W9__33__metadata.json index d6d39049..3545a93f 100644 --- a/metadata/W9__33__metadata.json +++ b/metadata/W9__33__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "w9" } - ] -} + ], + "maxAIFabricVersion": "23.10" +} \ No newline at end of file diff --git a/metadata/W9__34__metadata.json b/metadata/W9__34__metadata.json index 731e0a94..7085a44b 100644 --- a/metadata/W9__34__metadata.json +++ b/metadata/W9__34__metadata.json @@ -29,5 +29,6 @@ "type": "STRING", "value": "w9" } - ] -} + ], + "maxAIFabricVersion": "24.10" +} \ No newline at end of file diff --git a/metadata/W9__3__metadata.json b/metadata/W9__3__metadata.json index f2f12f45..625255e5 100644 --- a/metadata/W9__3__metadata.json +++ b/metadata/W9__3__metadata.json @@ -1,25 +1,26 @@ { - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.4", + "languageVersion": 4, + "version": 3, + "customVersion": "22.4.1", + "contentUri": "https:///publicmodels/AIC/W9/22.4.1/w9_package.zip", + "maxAIFabricVersion": "22.4" +} \ No newline at end of file diff --git a/metadata/W9__4__metadata.json b/metadata/W9__4__metadata.json deleted file mode 100644 index 0e7870f9..00000000 --- a/metadata/W9__4__metadata.json +++ /dev/null @@ -1,33 +0,0 @@ -{ - "name": "W9", - "retrainable": true, - "gpu": 0, - "processorType": "CPU", - "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. 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Please see more details including supported languages and link to Activities guide in the About Licensing -\u003e Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", - "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", - "settings": [ - { - "key": "package_type", - "type": "STRING", - "value": "w9" - } - ] -} - From 5672de594cb3bf3e6f7f31409364903a0fdff57f Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Mon, 24 Mar 2025 15:42:42 +0200 Subject: [PATCH 237/267] Adding 24.10.3 metadatas (#369) --- metadata/1040ScheduleC__10__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__10__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__10__metadata.json | 33 +++++++++++++++++++ metadata/1040__32__metadata.json | 33 +++++++++++++++++++ metadata/1040x__4__metadata.json | 33 +++++++++++++++++++ metadata/3949a__4__metadata.json | 33 +++++++++++++++++++ metadata/4506T__34__metadata.json | 33 +++++++++++++++++++ metadata/709__4__metadata.json | 33 +++++++++++++++++++ metadata/941x__4__metadata.json | 33 +++++++++++++++++++ metadata/9465__4__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__34__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__32__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__32__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__32__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__32__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__32__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__32__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__21__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__21__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__21__metadata.json | 33 +++++++++++++++++++ metadata/Checks__32__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__21__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__34__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__43__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__21__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__34__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__32__metadata.json | 32 ++++++++++++++++++ metadata/I9__34__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__36__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__42__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__35__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesHebrew__4__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__21__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__43__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__40__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__32__metadata.json | 32 ++++++++++++++++++ metadata/Passports__36__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__21__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__42__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__43__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__35__metadata.json | 33 +++++++++++++++++++ metadata/UB04__10__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__28__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__34__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__42__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__32__metadata.json | 32 ++++++++++++++++++ metadata/W2__35__metadata.json | 33 +++++++++++++++++++ metadata/W9__35__metadata.json | 33 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 6 ++-- 49 files changed, 1559 insertions(+), 3 deletions(-) create mode 100644 metadata/1040ScheduleC__10__metadata.json create mode 100644 metadata/1040ScheduleD__10__metadata.json create mode 100644 metadata/1040ScheduleE__10__metadata.json create mode 100644 metadata/1040__32__metadata.json create mode 100644 metadata/1040x__4__metadata.json create mode 100644 metadata/3949a__4__metadata.json create mode 100644 metadata/4506T__34__metadata.json create mode 100644 metadata/709__4__metadata.json create mode 100644 metadata/941x__4__metadata.json create mode 100644 metadata/9465__4__metadata.json create mode 100644 metadata/Acord125__34__metadata.json create mode 100644 metadata/Acord126__32__metadata.json create mode 100644 metadata/Acord131__32__metadata.json create mode 100644 metadata/Acord140__32__metadata.json create mode 100644 metadata/Acord25__32__metadata.json create mode 100644 metadata/BankStatements__32__metadata.json create mode 100644 metadata/BillsOfLading__32__metadata.json create mode 100644 metadata/CMS1500__21__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__21__metadata.json create mode 100644 metadata/CertificatesOfOrigin__21__metadata.json create mode 100644 metadata/Checks__32__metadata.json create mode 100644 metadata/ChildrenProductCertificates__21__metadata.json create mode 100644 metadata/DocumentClassifier__34__metadata.json create mode 100644 metadata/DocumentUnderstanding__43__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__21__metadata.json create mode 100644 metadata/FM1003__34__metadata.json create mode 100644 metadata/FinancialStatements__32__metadata.json create mode 100644 metadata/I9__34__metadata.json create mode 100644 metadata/IDCards__36__metadata.json create mode 100644 metadata/IndianInvoices__42__metadata.json create mode 100644 metadata/InvoicesChina__35__metadata.json create mode 100644 metadata/InvoicesHebrew__4__metadata.json create mode 100644 metadata/InvoicesShipping__21__metadata.json create mode 100644 metadata/Invoices__43__metadata.json create mode 100644 metadata/JapaneseInvoices__40__metadata.json create mode 100644 metadata/PackingLists__32__metadata.json create mode 100644 metadata/Passports__36__metadata.json create mode 100644 metadata/Payslips__21__metadata.json create mode 100644 metadata/PurchaseOrders__42__metadata.json create mode 100644 metadata/Receipts__43__metadata.json create mode 100644 metadata/RemittanceAdvices__35__metadata.json create mode 100644 metadata/UB04__10__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__28__metadata.json create mode 100644 metadata/UiPathDocumentOCR__34__metadata.json create mode 100644 metadata/UtilityBills__42__metadata.json create mode 100644 metadata/VehicleTitles__32__metadata.json create mode 100644 metadata/W2__35__metadata.json create mode 100644 metadata/W9__35__metadata.json diff --git a/metadata/1040ScheduleC__10__metadata.json b/metadata/1040ScheduleC__10__metadata.json new file mode 100644 index 00000000..184a64f6 --- /dev/null +++ b/metadata/1040ScheduleC__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__10__metadata.json b/metadata/1040ScheduleD__10__metadata.json new file mode 100644 index 00000000..69e484f6 --- /dev/null +++ b/metadata/1040ScheduleD__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__10__metadata.json b/metadata/1040ScheduleE__10__metadata.json new file mode 100644 index 00000000..603bc8d0 --- /dev/null +++ b/metadata/1040ScheduleE__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__32__metadata.json b/metadata/1040__32__metadata.json new file mode 100644 index 00000000..0996ee7f --- /dev/null +++ b/metadata/1040__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/1040x__4__metadata.json b/metadata/1040x__4__metadata.json new file mode 100644 index 00000000..fa1de97a --- /dev/null +++ b/metadata/1040x__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040x" + } + ] +} diff --git a/metadata/3949a__4__metadata.json b/metadata/3949a__4__metadata.json new file mode 100644 index 00000000..8a59374b --- /dev/null +++ b/metadata/3949a__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_3949a", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/4506T__34__metadata.json b/metadata/4506T__34__metadata.json new file mode 100644 index 00000000..f5c47b71 --- /dev/null +++ b/metadata/4506T__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/709__4__metadata.json b/metadata/709__4__metadata.json new file mode 100644 index 00000000..7772b2c5 --- /dev/null +++ b/metadata/709__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/941x__4__metadata.json b/metadata/941x__4__metadata.json new file mode 100644 index 00000000..d6999c37 --- /dev/null +++ b/metadata/941x__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_941x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 941x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "941x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "941x" + } + ] +} diff --git a/metadata/9465__4__metadata.json b/metadata/9465__4__metadata.json new file mode 100644 index 00000000..15c6cb45 --- /dev/null +++ b/metadata/9465__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/Acord125__34__metadata.json b/metadata/Acord125__34__metadata.json new file mode 100644 index 00000000..b96ed61d --- /dev/null +++ b/metadata/Acord125__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__32__metadata.json b/metadata/Acord126__32__metadata.json new file mode 100644 index 00000000..b077364f --- /dev/null +++ b/metadata/Acord126__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__32__metadata.json b/metadata/Acord131__32__metadata.json new file mode 100644 index 00000000..9cd6f2a4 --- /dev/null +++ b/metadata/Acord131__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__32__metadata.json b/metadata/Acord140__32__metadata.json new file mode 100644 index 00000000..9b390c78 --- /dev/null +++ b/metadata/Acord140__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__32__metadata.json b/metadata/Acord25__32__metadata.json new file mode 100644 index 00000000..bb23a973 --- /dev/null +++ b/metadata/Acord25__32__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__32__metadata.json b/metadata/BankStatements__32__metadata.json new file mode 100644 index 00000000..af2f05d7 --- /dev/null +++ b/metadata/BankStatements__32__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__32__metadata.json b/metadata/BillsOfLading__32__metadata.json new file mode 100644 index 00000000..be882b57 --- /dev/null +++ b/metadata/BillsOfLading__32__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__21__metadata.json b/metadata/CMS1500__21__metadata.json new file mode 100644 index 00000000..c74ac4e1 --- /dev/null +++ b/metadata/CMS1500__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__21__metadata.json b/metadata/CertificatesOfIncorporation__21__metadata.json new file mode 100644 index 00000000..3a2189f6 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__21__metadata.json b/metadata/CertificatesOfOrigin__21__metadata.json new file mode 100644 index 00000000..faa0f73c --- /dev/null +++ b/metadata/CertificatesOfOrigin__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__32__metadata.json b/metadata/Checks__32__metadata.json new file mode 100644 index 00000000..e6b088d2 --- /dev/null +++ b/metadata/Checks__32__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__21__metadata.json b/metadata/ChildrenProductCertificates__21__metadata.json new file mode 100644 index 00000000..db4e3c09 --- /dev/null +++ b/metadata/ChildrenProductCertificates__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__34__metadata.json b/metadata/DocumentClassifier__34__metadata.json new file mode 100644 index 00000000..8c1a9f27 --- /dev/null +++ b/metadata/DocumentClassifier__34__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "24.10.3", + "imagePath": "du-ml-document-type-text-classifier:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__43__metadata.json b/metadata/DocumentUnderstanding__43__metadata.json new file mode 100644 index 00000000..54a15ef6 --- /dev/null +++ b/metadata/DocumentUnderstanding__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__21__metadata.json b/metadata/EUDeclarationOfConformity__21__metadata.json new file mode 100644 index 00000000..c48afed5 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__34__metadata.json b/metadata/FM1003__34__metadata.json new file mode 100644 index 00000000..bc27922a --- /dev/null +++ b/metadata/FM1003__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__32__metadata.json b/metadata/FinancialStatements__32__metadata.json new file mode 100644 index 00000000..e1c2c837 --- /dev/null +++ b/metadata/FinancialStatements__32__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__34__metadata.json b/metadata/I9__34__metadata.json new file mode 100644 index 00000000..fd9668c3 --- /dev/null +++ b/metadata/I9__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__36__metadata.json b/metadata/IDCards__36__metadata.json new file mode 100644 index 00000000..f9f03653 --- /dev/null +++ b/metadata/IDCards__36__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__42__metadata.json b/metadata/IndianInvoices__42__metadata.json new file mode 100644 index 00000000..a74fc349 --- /dev/null +++ b/metadata/IndianInvoices__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__35__metadata.json b/metadata/InvoicesChina__35__metadata.json new file mode 100644 index 00000000..a4a4a320 --- /dev/null +++ b/metadata/InvoicesChina__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesHebrew__4__metadata.json b/metadata/InvoicesHebrew__4__metadata.json new file mode 100644 index 00000000..6e5ee99d --- /dev/null +++ b/metadata/InvoicesHebrew__4__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 4, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__21__metadata.json b/metadata/InvoicesShipping__21__metadata.json new file mode 100644 index 00000000..c536f7d6 --- /dev/null +++ b/metadata/InvoicesShipping__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__43__metadata.json b/metadata/Invoices__43__metadata.json new file mode 100644 index 00000000..57988caa --- /dev/null +++ b/metadata/Invoices__43__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__40__metadata.json b/metadata/JapaneseInvoices__40__metadata.json new file mode 100644 index 00000000..e670ec26 --- /dev/null +++ b/metadata/JapaneseInvoices__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__32__metadata.json b/metadata/PackingLists__32__metadata.json new file mode 100644 index 00000000..f0102d8f --- /dev/null +++ b/metadata/PackingLists__32__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__36__metadata.json b/metadata/Passports__36__metadata.json new file mode 100644 index 00000000..cb37086f --- /dev/null +++ b/metadata/Passports__36__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__21__metadata.json b/metadata/Payslips__21__metadata.json new file mode 100644 index 00000000..cd40ddd6 --- /dev/null +++ b/metadata/Payslips__21__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 21, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__42__metadata.json b/metadata/PurchaseOrders__42__metadata.json new file mode 100644 index 00000000..51603d52 --- /dev/null +++ b/metadata/PurchaseOrders__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__43__metadata.json b/metadata/Receipts__43__metadata.json new file mode 100644 index 00000000..9026daee --- /dev/null +++ b/metadata/Receipts__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__35__metadata.json b/metadata/RemittanceAdvices__35__metadata.json new file mode 100644 index 00000000..9e12f00c --- /dev/null +++ b/metadata/RemittanceAdvices__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__10__metadata.json b/metadata/UB04__10__metadata.json new file mode 100644 index 00000000..8bfeca73 --- /dev/null +++ b/metadata/UB04__10__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 10, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__28__metadata.json b/metadata/UiPathDocumentOCR_CPU__28__metadata.json new file mode 100644 index 00000000..1a6faa54 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__28__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "24.10.3", + "imagePath": "du-doc-ocr-cpu:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__34__metadata.json b/metadata/UiPathDocumentOCR__34__metadata.json new file mode 100644 index 00000000..3d95ddd4 --- /dev/null +++ b/metadata/UiPathDocumentOCR__34__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "24.10.3", + "imagePath": "du-doc-ocr:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__42__metadata.json b/metadata/UtilityBills__42__metadata.json new file mode 100644 index 00000000..aed4eea1 --- /dev/null +++ b/metadata/UtilityBills__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__32__metadata.json b/metadata/VehicleTitles__32__metadata.json new file mode 100644 index 00000000..054278de --- /dev/null +++ b/metadata/VehicleTitles__32__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__35__metadata.json b/metadata/W2__35__metadata.json new file mode 100644 index 00000000..620e15fe --- /dev/null +++ b/metadata/W2__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__35__metadata.json b/metadata/W9__35__metadata.json new file mode 100644 index 00000000..b1ed324e --- /dev/null +++ b/metadata/W9__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.3", + "imagePath": "du-semistructured:v24.10-3.11-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 65f2fdf5..38878293 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,13 +9,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$previousCustomVersion = '23.4.10' +$previousCustomVersion = '24.10.2' # Set the new custom version number -$newCustomVersion = '23.4.11' +$newCustomVersion = '24.10.3' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v23.4-01.27-rc01' +$newTag = 'v24.10-3.11-rc01' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From efe255e77a0855503d091fabe77e4db9c228aa60 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Mon, 24 Mar 2025 15:56:58 +0200 Subject: [PATCH 238/267] Adding 23.10.9 metadatas (#370) --- metadata/1040ScheduleC__11__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleD__11__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleE__11__metadata.json | 34 +++++++++++++++++++ metadata/1040__33__metadata.json | 34 +++++++++++++++++++ metadata/4506T__35__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__35__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__33__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__33__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__33__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__33__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__33__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__33__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__22__metadata.json | 34 +++++++++++++++++++ ...ificatesOfIncorporation__22__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__22__metadata.json | 34 +++++++++++++++++++ metadata/Checks__33__metadata.json | 33 ++++++++++++++++++ ...drenProductCertificates__22__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__35__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__44__metadata.json | 34 +++++++++++++++++++ ...DeclarationOfConformity__22__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__35__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__33__metadata.json | 33 ++++++++++++++++++ metadata/I9__35__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__37__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__43__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__36__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__22__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__44__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__41__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__33__metadata.json | 33 ++++++++++++++++++ metadata/Passports__37__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__22__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__43__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__44__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__36__metadata.json | 34 +++++++++++++++++++ metadata/UB04__11__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__29__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__35__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__43__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__33__metadata.json | 33 ++++++++++++++++++ metadata/W2__36__metadata.json | 34 +++++++++++++++++++ metadata/W9__36__metadata.json | 34 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 6 ++-- 43 files changed, 1403 insertions(+), 3 deletions(-) create mode 100644 metadata/1040ScheduleC__11__metadata.json create mode 100644 metadata/1040ScheduleD__11__metadata.json create mode 100644 metadata/1040ScheduleE__11__metadata.json create mode 100644 metadata/1040__33__metadata.json create mode 100644 metadata/4506T__35__metadata.json create mode 100644 metadata/Acord125__35__metadata.json create mode 100644 metadata/Acord126__33__metadata.json create mode 100644 metadata/Acord131__33__metadata.json create mode 100644 metadata/Acord140__33__metadata.json create mode 100644 metadata/Acord25__33__metadata.json create mode 100644 metadata/BankStatements__33__metadata.json create mode 100644 metadata/BillsOfLading__33__metadata.json create mode 100644 metadata/CMS1500__22__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__22__metadata.json create mode 100644 metadata/CertificatesOfOrigin__22__metadata.json create mode 100644 metadata/Checks__33__metadata.json create mode 100644 metadata/ChildrenProductCertificates__22__metadata.json create mode 100644 metadata/DocumentClassifier__35__metadata.json create mode 100644 metadata/DocumentUnderstanding__44__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__22__metadata.json create mode 100644 metadata/FM1003__35__metadata.json create mode 100644 metadata/FinancialStatements__33__metadata.json create mode 100644 metadata/I9__35__metadata.json create mode 100644 metadata/IDCards__37__metadata.json create mode 100644 metadata/IndianInvoices__43__metadata.json create mode 100644 metadata/InvoicesChina__36__metadata.json create mode 100644 metadata/InvoicesShipping__22__metadata.json create mode 100644 metadata/Invoices__44__metadata.json create mode 100644 metadata/JapaneseInvoices__41__metadata.json create mode 100644 metadata/PackingLists__33__metadata.json create mode 100644 metadata/Passports__37__metadata.json create mode 100644 metadata/Payslips__22__metadata.json create mode 100644 metadata/PurchaseOrders__43__metadata.json create mode 100644 metadata/Receipts__44__metadata.json create mode 100644 metadata/RemittanceAdvices__36__metadata.json create mode 100644 metadata/UB04__11__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__29__metadata.json create mode 100644 metadata/UiPathDocumentOCR__35__metadata.json create mode 100644 metadata/UtilityBills__43__metadata.json create mode 100644 metadata/VehicleTitles__33__metadata.json create mode 100644 metadata/W2__36__metadata.json create mode 100644 metadata/W9__36__metadata.json diff --git a/metadata/1040ScheduleC__11__metadata.json b/metadata/1040ScheduleC__11__metadata.json new file mode 100644 index 00000000..448f90a0 --- /dev/null +++ b/metadata/1040ScheduleC__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord25__33__metadata.json b/metadata/Acord25__33__metadata.json new file mode 100644 index 00000000..7c597683 --- /dev/null +++ b/metadata/Acord25__33__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/BankStatements__33__metadata.json b/metadata/BankStatements__33__metadata.json new file mode 100644 index 00000000..0d3ff252 --- /dev/null +++ b/metadata/BankStatements__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/BillsOfLading__33__metadata.json b/metadata/BillsOfLading__33__metadata.json new file mode 100644 index 00000000..320dc764 --- /dev/null +++ b/metadata/BillsOfLading__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CMS1500__22__metadata.json b/metadata/CMS1500__22__metadata.json new file mode 100644 index 00000000..08d6356a --- /dev/null +++ b/metadata/CMS1500__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CertificatesOfIncorporation__22__metadata.json b/metadata/CertificatesOfIncorporation__22__metadata.json new file mode 100644 index 00000000..61b34f5e --- /dev/null +++ b/metadata/CertificatesOfIncorporation__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CertificatesOfOrigin__22__metadata.json b/metadata/CertificatesOfOrigin__22__metadata.json new file mode 100644 index 00000000..b5ede0d1 --- /dev/null +++ b/metadata/CertificatesOfOrigin__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Checks__33__metadata.json b/metadata/Checks__33__metadata.json new file mode 100644 index 00000000..23c26bb5 --- /dev/null +++ b/metadata/Checks__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/ChildrenProductCertificates__22__metadata.json b/metadata/ChildrenProductCertificates__22__metadata.json new file mode 100644 index 00000000..68b05aa5 --- /dev/null +++ b/metadata/ChildrenProductCertificates__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/DocumentClassifier__35__metadata.json b/metadata/DocumentClassifier__35__metadata.json new file mode 100644 index 00000000..c25e308e --- /dev/null +++ b/metadata/DocumentClassifier__35__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.9", + "imagePath": "du-ml-document-type-text-classifier:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/DocumentUnderstanding__44__metadata.json b/metadata/DocumentUnderstanding__44__metadata.json new file mode 100644 index 00000000..adfa7760 --- /dev/null +++ b/metadata/DocumentUnderstanding__44__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/EUDeclarationOfConformity__22__metadata.json b/metadata/EUDeclarationOfConformity__22__metadata.json new file mode 100644 index 00000000..846db316 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/FM1003__35__metadata.json b/metadata/FM1003__35__metadata.json new file mode 100644 index 00000000..de9f1193 --- /dev/null +++ b/metadata/FM1003__35__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/FinancialStatements__33__metadata.json b/metadata/FinancialStatements__33__metadata.json new file mode 100644 index 00000000..72d475ec --- /dev/null +++ b/metadata/FinancialStatements__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/I9__35__metadata.json b/metadata/I9__35__metadata.json new file mode 100644 index 00000000..b33b9d58 --- /dev/null +++ b/metadata/I9__35__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/IDCards__37__metadata.json b/metadata/IDCards__37__metadata.json new file mode 100644 index 00000000..54ca348e --- /dev/null +++ b/metadata/IDCards__37__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/IndianInvoices__43__metadata.json b/metadata/IndianInvoices__43__metadata.json new file mode 100644 index 00000000..45f62ba4 --- /dev/null +++ b/metadata/IndianInvoices__43__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/InvoicesChina__36__metadata.json b/metadata/InvoicesChina__36__metadata.json new file mode 100644 index 00000000..af5554c6 --- /dev/null +++ b/metadata/InvoicesChina__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/InvoicesShipping__22__metadata.json b/metadata/InvoicesShipping__22__metadata.json new file mode 100644 index 00000000..e3b9c7ab --- /dev/null +++ b/metadata/InvoicesShipping__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Invoices__44__metadata.json b/metadata/Invoices__44__metadata.json new file mode 100644 index 00000000..ec0ec8a5 --- /dev/null +++ b/metadata/Invoices__44__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/JapaneseInvoices__41__metadata.json b/metadata/JapaneseInvoices__41__metadata.json new file mode 100644 index 00000000..9b28a59c --- /dev/null +++ b/metadata/JapaneseInvoices__41__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/PackingLists__33__metadata.json b/metadata/PackingLists__33__metadata.json new file mode 100644 index 00000000..0439aac4 --- /dev/null +++ b/metadata/PackingLists__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Passports__37__metadata.json b/metadata/Passports__37__metadata.json new file mode 100644 index 00000000..8709589c --- /dev/null +++ b/metadata/Passports__37__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Payslips__22__metadata.json b/metadata/Payslips__22__metadata.json new file mode 100644 index 00000000..53c4f68c --- /dev/null +++ b/metadata/Payslips__22__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 22, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/PurchaseOrders__43__metadata.json b/metadata/PurchaseOrders__43__metadata.json new file mode 100644 index 00000000..a8cc5904 --- /dev/null +++ b/metadata/PurchaseOrders__43__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Receipts__44__metadata.json b/metadata/Receipts__44__metadata.json new file mode 100644 index 00000000..85aae7bc --- /dev/null +++ b/metadata/Receipts__44__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/RemittanceAdvices__36__metadata.json b/metadata/RemittanceAdvices__36__metadata.json new file mode 100644 index 00000000..83461fc7 --- /dev/null +++ b/metadata/RemittanceAdvices__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UB04__11__metadata.json b/metadata/UB04__11__metadata.json new file mode 100644 index 00000000..54ddb157 --- /dev/null +++ b/metadata/UB04__11__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 11, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UiPathDocumentOCR_CPU__29__metadata.json b/metadata/UiPathDocumentOCR_CPU__29__metadata.json new file mode 100644 index 00000000..8cf92cec --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__29__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "23.10.9", + "imagePath": "du-doc-ocr-cpu:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UiPathDocumentOCR__35__metadata.json b/metadata/UiPathDocumentOCR__35__metadata.json new file mode 100644 index 00000000..7af091f3 --- /dev/null +++ b/metadata/UiPathDocumentOCR__35__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "23.10.9", + "imagePath": "du-doc-ocr:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UtilityBills__43__metadata.json b/metadata/UtilityBills__43__metadata.json new file mode 100644 index 00000000..7e6fd92b --- /dev/null +++ b/metadata/UtilityBills__43__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/VehicleTitles__33__metadata.json b/metadata/VehicleTitles__33__metadata.json new file mode 100644 index 00000000..230adec6 --- /dev/null +++ b/metadata/VehicleTitles__33__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/W2__36__metadata.json b/metadata/W2__36__metadata.json new file mode 100644 index 00000000..69b6e86c --- /dev/null +++ b/metadata/W2__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/W9__36__metadata.json b/metadata/W9__36__metadata.json new file mode 100644 index 00000000..1abcb7ac --- /dev/null +++ b/metadata/W9__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.9", + "imagePath": "du-semistructured:v23.10-03.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 38878293..769fd001 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,13 +9,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$previousCustomVersion = '24.10.2' +$previousCustomVersion = '23.10.8' # Set the new custom version number -$newCustomVersion = '24.10.3' +$newCustomVersion = '23.10.9' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v24.10-3.11-rc01' +$newTag = 'v23.10-03.14-rc02' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 93c8a59290fbad34e4ea245618126c77c32dbadb Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Mon, 24 Mar 2025 16:07:37 +0200 Subject: [PATCH 239/267] Adding 23.4.12 metadatas (#371) --- metadata/1040__34__metadata.json | 34 +++++++++++++++++++ metadata/4506T__36__metadata.json | 34 +++++++++++++++++++ metadata/Acord125__36__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__34__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__34__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__34__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__34__metadata.json | 34 +++++++++++++++++++ .../AustralianInvoices__33__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__34__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__34__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__23__metadata.json | 34 +++++++++++++++++++ ...ificatesOfIncorporation__23__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__23__metadata.json | 34 +++++++++++++++++++ metadata/Checks__34__metadata.json | 33 ++++++++++++++++++ ...drenProductCertificates__23__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__36__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__45__metadata.json | 34 +++++++++++++++++++ ...DeclarationOfConformity__23__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__36__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__34__metadata.json | 33 ++++++++++++++++++ metadata/I9__36__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__38__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__44__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__37__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesShipping__23__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__45__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__42__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__34__metadata.json | 33 ++++++++++++++++++ metadata/Passports__38__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__23__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__44__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__45__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__37__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__30__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__36__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__44__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__34__metadata.json | 33 ++++++++++++++++++ metadata/W2__37__metadata.json | 34 +++++++++++++++++++ metadata/W9__37__metadata.json | 34 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 6 ++-- 40 files changed, 1301 insertions(+), 3 deletions(-) create mode 100644 metadata/1040__34__metadata.json create mode 100644 metadata/4506T__36__metadata.json create mode 100644 metadata/Acord125__36__metadata.json create mode 100644 metadata/Acord126__34__metadata.json create mode 100644 metadata/Acord131__34__metadata.json create mode 100644 metadata/Acord140__34__metadata.json create mode 100644 metadata/Acord25__34__metadata.json create mode 100644 metadata/AustralianInvoices__33__metadata.json create mode 100644 metadata/BankStatements__34__metadata.json create mode 100644 metadata/BillsOfLading__34__metadata.json create mode 100644 metadata/CMS1500__23__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__23__metadata.json create mode 100644 metadata/CertificatesOfOrigin__23__metadata.json create mode 100644 metadata/Checks__34__metadata.json create mode 100644 metadata/ChildrenProductCertificates__23__metadata.json create mode 100644 metadata/DocumentClassifier__36__metadata.json create mode 100644 metadata/DocumentUnderstanding__45__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__23__metadata.json create mode 100644 metadata/FM1003__36__metadata.json create mode 100644 metadata/FinancialStatements__34__metadata.json create mode 100644 metadata/I9__36__metadata.json create mode 100644 metadata/IDCards__38__metadata.json create mode 100644 metadata/IndianInvoices__44__metadata.json create mode 100644 metadata/InvoicesChina__37__metadata.json create mode 100644 metadata/InvoicesShipping__23__metadata.json create mode 100644 metadata/Invoices__45__metadata.json create mode 100644 metadata/JapaneseInvoices__42__metadata.json create mode 100644 metadata/PackingLists__34__metadata.json create mode 100644 metadata/Passports__38__metadata.json create mode 100644 metadata/Payslips__23__metadata.json create mode 100644 metadata/PurchaseOrders__44__metadata.json create mode 100644 metadata/Receipts__45__metadata.json create mode 100644 metadata/RemittanceAdvices__37__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__30__metadata.json create mode 100644 metadata/UiPathDocumentOCR__36__metadata.json create mode 100644 metadata/UtilityBills__44__metadata.json create mode 100644 metadata/VehicleTitles__34__metadata.json create mode 100644 metadata/W2__37__metadata.json create mode 100644 metadata/W9__37__metadata.json diff --git a/metadata/1040__34__metadata.json b/metadata/1040__34__metadata.json new file mode 100644 index 00000000..11c687a2 --- /dev/null +++ b/metadata/1040__34__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/4506T__36__metadata.json b/metadata/4506T__36__metadata.json new file mode 100644 index 00000000..6bc04867 --- /dev/null +++ b/metadata/4506T__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Acord125__36__metadata.json b/metadata/Acord125__36__metadata.json new file mode 100644 index 00000000..cfe7c2cf --- /dev/null +++ b/metadata/Acord125__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Acord126__34__metadata.json b/metadata/Acord126__34__metadata.json new file mode 100644 index 00000000..be08dc37 --- /dev/null +++ b/metadata/Acord126__34__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Acord131__34__metadata.json b/metadata/Acord131__34__metadata.json new file mode 100644 index 00000000..a132e20d --- /dev/null +++ b/metadata/Acord131__34__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Acord140__34__metadata.json b/metadata/Acord140__34__metadata.json new file mode 100644 index 00000000..16498c6c --- /dev/null +++ b/metadata/Acord140__34__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Acord25__34__metadata.json b/metadata/Acord25__34__metadata.json new file mode 100644 index 00000000..63e2c9d6 --- /dev/null +++ b/metadata/Acord25__34__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/AustralianInvoices__33__metadata.json b/metadata/AustralianInvoices__33__metadata.json new file mode 100644 index 00000000..d7b48e4e --- /dev/null +++ b/metadata/AustralianInvoices__33__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "AustralianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Australia, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "AustralianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_au" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/BankStatements__34__metadata.json b/metadata/BankStatements__34__metadata.json new file mode 100644 index 00000000..1972941c --- /dev/null +++ b/metadata/BankStatements__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/BillsOfLading__34__metadata.json b/metadata/BillsOfLading__34__metadata.json new file mode 100644 index 00000000..afe51155 --- /dev/null +++ b/metadata/BillsOfLading__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/CMS1500__23__metadata.json b/metadata/CMS1500__23__metadata.json new file mode 100644 index 00000000..d901914f --- /dev/null +++ b/metadata/CMS1500__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/CertificatesOfIncorporation__23__metadata.json b/metadata/CertificatesOfIncorporation__23__metadata.json new file mode 100644 index 00000000..233c0b5d --- /dev/null +++ b/metadata/CertificatesOfIncorporation__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/CertificatesOfOrigin__23__metadata.json b/metadata/CertificatesOfOrigin__23__metadata.json new file mode 100644 index 00000000..7ca99ae6 --- /dev/null +++ b/metadata/CertificatesOfOrigin__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Checks__34__metadata.json b/metadata/Checks__34__metadata.json new file mode 100644 index 00000000..89f337f0 --- /dev/null +++ b/metadata/Checks__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/ChildrenProductCertificates__23__metadata.json b/metadata/ChildrenProductCertificates__23__metadata.json new file mode 100644 index 00000000..cf9967a5 --- /dev/null +++ b/metadata/ChildrenProductCertificates__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/DocumentClassifier__36__metadata.json b/metadata/DocumentClassifier__36__metadata.json new file mode 100644 index 00000000..487a4ae0 --- /dev/null +++ b/metadata/DocumentClassifier__36__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.4.12", + "imagePath": "du-ml-document-type-text-classifier:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/DocumentUnderstanding__45__metadata.json b/metadata/DocumentUnderstanding__45__metadata.json new file mode 100644 index 00000000..3812e9e3 --- /dev/null +++ b/metadata/DocumentUnderstanding__45__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/EUDeclarationOfConformity__23__metadata.json b/metadata/EUDeclarationOfConformity__23__metadata.json new file mode 100644 index 00000000..bd951249 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/FM1003__36__metadata.json b/metadata/FM1003__36__metadata.json new file mode 100644 index 00000000..098f04eb --- /dev/null +++ b/metadata/FM1003__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/FinancialStatements__34__metadata.json b/metadata/FinancialStatements__34__metadata.json new file mode 100644 index 00000000..c6951b1a --- /dev/null +++ b/metadata/FinancialStatements__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/I9__36__metadata.json b/metadata/I9__36__metadata.json new file mode 100644 index 00000000..7159f87a --- /dev/null +++ b/metadata/I9__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/IDCards__38__metadata.json b/metadata/IDCards__38__metadata.json new file mode 100644 index 00000000..cadb6501 --- /dev/null +++ b/metadata/IDCards__38__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/IndianInvoices__44__metadata.json b/metadata/IndianInvoices__44__metadata.json new file mode 100644 index 00000000..d06dd4e5 --- /dev/null +++ b/metadata/IndianInvoices__44__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/InvoicesChina__37__metadata.json b/metadata/InvoicesChina__37__metadata.json new file mode 100644 index 00000000..7df71d36 --- /dev/null +++ b/metadata/InvoicesChina__37__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/InvoicesShipping__23__metadata.json b/metadata/InvoicesShipping__23__metadata.json new file mode 100644 index 00000000..27005817 --- /dev/null +++ b/metadata/InvoicesShipping__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Invoices__45__metadata.json b/metadata/Invoices__45__metadata.json new file mode 100644 index 00000000..5cc0a48c --- /dev/null +++ b/metadata/Invoices__45__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/JapaneseInvoices__42__metadata.json b/metadata/JapaneseInvoices__42__metadata.json new file mode 100644 index 00000000..3490804a --- /dev/null +++ b/metadata/JapaneseInvoices__42__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/PackingLists__34__metadata.json b/metadata/PackingLists__34__metadata.json new file mode 100644 index 00000000..43582795 --- /dev/null +++ b/metadata/PackingLists__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Passports__38__metadata.json b/metadata/Passports__38__metadata.json new file mode 100644 index 00000000..cc88a598 --- /dev/null +++ b/metadata/Passports__38__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Payslips__23__metadata.json b/metadata/Payslips__23__metadata.json new file mode 100644 index 00000000..3a167a3d --- /dev/null +++ b/metadata/Payslips__23__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 23, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/PurchaseOrders__44__metadata.json b/metadata/PurchaseOrders__44__metadata.json new file mode 100644 index 00000000..6e17bbb4 --- /dev/null +++ b/metadata/PurchaseOrders__44__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/Receipts__45__metadata.json b/metadata/Receipts__45__metadata.json new file mode 100644 index 00000000..6cfb2b26 --- /dev/null +++ b/metadata/Receipts__45__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/RemittanceAdvices__37__metadata.json b/metadata/RemittanceAdvices__37__metadata.json new file mode 100644 index 00000000..482aa3dc --- /dev/null +++ b/metadata/RemittanceAdvices__37__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/UiPathDocumentOCR_CPU__30__metadata.json b/metadata/UiPathDocumentOCR_CPU__30__metadata.json new file mode 100644 index 00000000..d17ad2c6 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__30__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "23.4.12", + "imagePath": "du-doc-ocr-cpu:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/UiPathDocumentOCR__36__metadata.json b/metadata/UiPathDocumentOCR__36__metadata.json new file mode 100644 index 00000000..7cccaedf --- /dev/null +++ b/metadata/UiPathDocumentOCR__36__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.4.12", + "imagePath": "du-doc-ocr:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/UtilityBills__44__metadata.json b/metadata/UtilityBills__44__metadata.json new file mode 100644 index 00000000..f3285e6f --- /dev/null +++ b/metadata/UtilityBills__44__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/VehicleTitles__34__metadata.json b/metadata/VehicleTitles__34__metadata.json new file mode 100644 index 00000000..a0bf7e15 --- /dev/null +++ b/metadata/VehicleTitles__34__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/W2__37__metadata.json b/metadata/W2__37__metadata.json new file mode 100644 index 00000000..6bbdae28 --- /dev/null +++ b/metadata/W2__37__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata/W9__37__metadata.json b/metadata/W9__37__metadata.json new file mode 100644 index 00000000..3355ed00 --- /dev/null +++ b/metadata/W9__37__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "23.4.12", + "imagePath": "du-semistructured:v23.4-03.12-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ], + "maxAIFabricVersion": "23.10" +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 769fd001..5df522e0 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,13 +9,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$previousCustomVersion = '23.10.8' +$previousCustomVersion = '23.4.11' # Set the new custom version number -$newCustomVersion = '23.10.9' +$newCustomVersion = '23.4.12' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v23.10-03.14-rc02' +$newTag = 'v23.4-03.12-rc02' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 7a221e7d72a17da2a55ce5f5c9ed61459c227f66 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Thu, 27 Mar 2025 17:28:46 +0200 Subject: [PATCH 240/267] Bump du-semistructured 24.10.3 version (#372) --- metadata/1040ScheduleC__10__metadata.json | 2 +- metadata/1040ScheduleD__10__metadata.json | 2 +- metadata/1040ScheduleE__10__metadata.json | 2 +- metadata/1040__32__metadata.json | 2 +- metadata/1040x__4__metadata.json | 2 +- metadata/3949a__4__metadata.json | 2 +- metadata/4506T__34__metadata.json | 2 +- metadata/709__4__metadata.json | 2 +- metadata/941x__4__metadata.json | 2 +- metadata/9465__4__metadata.json | 2 +- metadata/Acord125__34__metadata.json | 2 +- metadata/Acord126__32__metadata.json | 2 +- metadata/Acord131__32__metadata.json | 2 +- metadata/Acord140__32__metadata.json | 2 +- metadata/Acord25__32__metadata.json | 2 +- metadata/BankStatements__32__metadata.json | 2 +- metadata/BillsOfLading__32__metadata.json | 2 +- metadata/CMS1500__21__metadata.json | 2 +- metadata/CertificatesOfIncorporation__21__metadata.json | 2 +- metadata/CertificatesOfOrigin__21__metadata.json | 2 +- metadata/Checks__32__metadata.json | 2 +- metadata/ChildrenProductCertificates__21__metadata.json | 2 +- metadata/DocumentUnderstanding__43__metadata.json | 2 +- metadata/EUDeclarationOfConformity__21__metadata.json | 2 +- metadata/FM1003__34__metadata.json | 2 +- metadata/FinancialStatements__32__metadata.json | 2 +- metadata/I9__34__metadata.json | 2 +- metadata/IDCards__36__metadata.json | 2 +- metadata/IndianInvoices__42__metadata.json | 2 +- metadata/InvoicesChina__35__metadata.json | 2 +- metadata/InvoicesHebrew__4__metadata.json | 2 +- metadata/InvoicesShipping__21__metadata.json | 2 +- metadata/Invoices__43__metadata.json | 2 +- metadata/JapaneseInvoices__40__metadata.json | 2 +- metadata/PackingLists__32__metadata.json | 2 +- metadata/Passports__36__metadata.json | 2 +- metadata/Payslips__21__metadata.json | 2 +- metadata/PurchaseOrders__42__metadata.json | 2 +- metadata/Receipts__43__metadata.json | 2 +- metadata/RemittanceAdvices__35__metadata.json | 2 +- metadata/UB04__10__metadata.json | 2 +- metadata/UtilityBills__42__metadata.json | 2 +- metadata/VehicleTitles__32__metadata.json | 2 +- metadata/W2__35__metadata.json | 2 +- metadata/W9__35__metadata.json | 2 +- 45 files changed, 45 insertions(+), 45 deletions(-) diff --git a/metadata/1040ScheduleC__10__metadata.json b/metadata/1040ScheduleC__10__metadata.json index 184a64f6..50b7d634 100644 --- a/metadata/1040ScheduleC__10__metadata.json +++ b/metadata/1040ScheduleC__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__10__metadata.json b/metadata/1040ScheduleD__10__metadata.json index 69e484f6..a528352a 100644 --- a/metadata/1040ScheduleD__10__metadata.json +++ b/metadata/1040ScheduleD__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__10__metadata.json b/metadata/1040ScheduleE__10__metadata.json index 603bc8d0..f879f13b 100644 --- a/metadata/1040ScheduleE__10__metadata.json +++ b/metadata/1040ScheduleE__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__32__metadata.json b/metadata/1040__32__metadata.json index 0996ee7f..b02b1193 100644 --- a/metadata/1040__32__metadata.json +++ b/metadata/1040__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__4__metadata.json b/metadata/1040x__4__metadata.json index fa1de97a..1c268945 100644 --- a/metadata/1040x__4__metadata.json +++ b/metadata/1040x__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__4__metadata.json b/metadata/3949a__4__metadata.json index 8a59374b..e507f837 100644 --- a/metadata/3949a__4__metadata.json +++ b/metadata/3949a__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__34__metadata.json b/metadata/4506T__34__metadata.json index f5c47b71..7bedffcf 100644 --- a/metadata/4506T__34__metadata.json +++ b/metadata/4506T__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__4__metadata.json b/metadata/709__4__metadata.json index 7772b2c5..dc502c07 100644 --- a/metadata/709__4__metadata.json +++ b/metadata/709__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__4__metadata.json b/metadata/941x__4__metadata.json index d6999c37..63a51a7f 100644 --- a/metadata/941x__4__metadata.json +++ b/metadata/941x__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__4__metadata.json b/metadata/9465__4__metadata.json index 15c6cb45..42844640 100644 --- a/metadata/9465__4__metadata.json +++ b/metadata/9465__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__34__metadata.json b/metadata/Acord125__34__metadata.json index b96ed61d..07e62093 100644 --- a/metadata/Acord125__34__metadata.json +++ b/metadata/Acord125__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__32__metadata.json b/metadata/Acord126__32__metadata.json index b077364f..b3439b03 100644 --- a/metadata/Acord126__32__metadata.json +++ b/metadata/Acord126__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__32__metadata.json b/metadata/Acord131__32__metadata.json index 9cd6f2a4..40b3ae3a 100644 --- a/metadata/Acord131__32__metadata.json +++ b/metadata/Acord131__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__32__metadata.json b/metadata/Acord140__32__metadata.json index 9b390c78..06588526 100644 --- a/metadata/Acord140__32__metadata.json +++ b/metadata/Acord140__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__32__metadata.json b/metadata/Acord25__32__metadata.json index bb23a973..60e50dbb 100644 --- a/metadata/Acord25__32__metadata.json +++ b/metadata/Acord25__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__32__metadata.json b/metadata/BankStatements__32__metadata.json index af2f05d7..c1edda28 100644 --- a/metadata/BankStatements__32__metadata.json +++ b/metadata/BankStatements__32__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__32__metadata.json b/metadata/BillsOfLading__32__metadata.json index be882b57..0210759b 100644 --- a/metadata/BillsOfLading__32__metadata.json +++ b/metadata/BillsOfLading__32__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__21__metadata.json b/metadata/CMS1500__21__metadata.json index c74ac4e1..22c85d57 100644 --- a/metadata/CMS1500__21__metadata.json +++ b/metadata/CMS1500__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__21__metadata.json b/metadata/CertificatesOfIncorporation__21__metadata.json index 3a2189f6..a7e369fa 100644 --- a/metadata/CertificatesOfIncorporation__21__metadata.json +++ b/metadata/CertificatesOfIncorporation__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__21__metadata.json b/metadata/CertificatesOfOrigin__21__metadata.json index faa0f73c..e5dd442f 100644 --- a/metadata/CertificatesOfOrigin__21__metadata.json +++ b/metadata/CertificatesOfOrigin__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__32__metadata.json b/metadata/Checks__32__metadata.json index e6b088d2..527c82b2 100644 --- a/metadata/Checks__32__metadata.json +++ b/metadata/Checks__32__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__21__metadata.json b/metadata/ChildrenProductCertificates__21__metadata.json index db4e3c09..44bbf503 100644 --- a/metadata/ChildrenProductCertificates__21__metadata.json +++ b/metadata/ChildrenProductCertificates__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__43__metadata.json b/metadata/DocumentUnderstanding__43__metadata.json index 54a15ef6..9115fa2a 100644 --- a/metadata/DocumentUnderstanding__43__metadata.json +++ b/metadata/DocumentUnderstanding__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__21__metadata.json b/metadata/EUDeclarationOfConformity__21__metadata.json index c48afed5..79cf3cc0 100644 --- a/metadata/EUDeclarationOfConformity__21__metadata.json +++ b/metadata/EUDeclarationOfConformity__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__34__metadata.json b/metadata/FM1003__34__metadata.json index bc27922a..54d8da9b 100644 --- a/metadata/FM1003__34__metadata.json +++ b/metadata/FM1003__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__32__metadata.json b/metadata/FinancialStatements__32__metadata.json index e1c2c837..89c1860a 100644 --- a/metadata/FinancialStatements__32__metadata.json +++ b/metadata/FinancialStatements__32__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__34__metadata.json b/metadata/I9__34__metadata.json index fd9668c3..cb4f1612 100644 --- a/metadata/I9__34__metadata.json +++ b/metadata/I9__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__36__metadata.json b/metadata/IDCards__36__metadata.json index f9f03653..7464e89b 100644 --- a/metadata/IDCards__36__metadata.json +++ b/metadata/IDCards__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__42__metadata.json b/metadata/IndianInvoices__42__metadata.json index a74fc349..44850359 100644 --- a/metadata/IndianInvoices__42__metadata.json +++ b/metadata/IndianInvoices__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__35__metadata.json b/metadata/InvoicesChina__35__metadata.json index a4a4a320..9e6bc218 100644 --- a/metadata/InvoicesChina__35__metadata.json +++ b/metadata/InvoicesChina__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__4__metadata.json b/metadata/InvoicesHebrew__4__metadata.json index 6e5ee99d..10d5117a 100644 --- a/metadata/InvoicesHebrew__4__metadata.json +++ b/metadata/InvoicesHebrew__4__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 4, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__21__metadata.json b/metadata/InvoicesShipping__21__metadata.json index c536f7d6..cf55048d 100644 --- a/metadata/InvoicesShipping__21__metadata.json +++ b/metadata/InvoicesShipping__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__43__metadata.json b/metadata/Invoices__43__metadata.json index 57988caa..8788c944 100644 --- a/metadata/Invoices__43__metadata.json +++ b/metadata/Invoices__43__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__40__metadata.json b/metadata/JapaneseInvoices__40__metadata.json index e670ec26..dbf656ce 100644 --- a/metadata/JapaneseInvoices__40__metadata.json +++ b/metadata/JapaneseInvoices__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__32__metadata.json b/metadata/PackingLists__32__metadata.json index f0102d8f..7d619304 100644 --- a/metadata/PackingLists__32__metadata.json +++ b/metadata/PackingLists__32__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__36__metadata.json b/metadata/Passports__36__metadata.json index cb37086f..e60237df 100644 --- a/metadata/Passports__36__metadata.json +++ b/metadata/Passports__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__21__metadata.json b/metadata/Payslips__21__metadata.json index cd40ddd6..781e3d5e 100644 --- a/metadata/Payslips__21__metadata.json +++ b/metadata/Payslips__21__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 21, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__42__metadata.json b/metadata/PurchaseOrders__42__metadata.json index 51603d52..394fd38a 100644 --- a/metadata/PurchaseOrders__42__metadata.json +++ b/metadata/PurchaseOrders__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__43__metadata.json b/metadata/Receipts__43__metadata.json index 9026daee..9fc50409 100644 --- a/metadata/Receipts__43__metadata.json +++ b/metadata/Receipts__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__35__metadata.json b/metadata/RemittanceAdvices__35__metadata.json index 9e12f00c..21adbd72 100644 --- a/metadata/RemittanceAdvices__35__metadata.json +++ b/metadata/RemittanceAdvices__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__10__metadata.json b/metadata/UB04__10__metadata.json index 8bfeca73..028f1fe2 100644 --- a/metadata/UB04__10__metadata.json +++ b/metadata/UB04__10__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 10, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__42__metadata.json b/metadata/UtilityBills__42__metadata.json index aed4eea1..401f339e 100644 --- a/metadata/UtilityBills__42__metadata.json +++ b/metadata/UtilityBills__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__32__metadata.json b/metadata/VehicleTitles__32__metadata.json index 054278de..15a07fe5 100644 --- a/metadata/VehicleTitles__32__metadata.json +++ b/metadata/VehicleTitles__32__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 32, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__35__metadata.json b/metadata/W2__35__metadata.json index 620e15fe..8051abd7 100644 --- a/metadata/W2__35__metadata.json +++ b/metadata/W2__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__35__metadata.json b/metadata/W9__35__metadata.json index b1ed324e..5561db8b 100644 --- a/metadata/W9__35__metadata.json +++ b/metadata/W9__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.3", - "imagePath": "du-semistructured:v24.10-3.11-rc01", + "imagePath": "du-semistructured:v24.10-3.27-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 3c103a1e499c6c830d6e348a741b98bd1cd2824a Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Mon, 31 Mar 2025 08:26:31 +0300 Subject: [PATCH 241/267] Add 24.10.4 document ocr GPU --- ...metadata.json => UiPathDocumentOCR__37__metadata.json} | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) rename metadata/{UiPathDocumentOCR__31__metadata.json => UiPathDocumentOCR__37__metadata.json} (95%) diff --git a/metadata/UiPathDocumentOCR__31__metadata.json b/metadata/UiPathDocumentOCR__37__metadata.json similarity index 95% rename from metadata/UiPathDocumentOCR__31__metadata.json rename to metadata/UiPathDocumentOCR__37__metadata.json index 55d8c8c6..a6d3f084 100644 --- a/metadata/UiPathDocumentOCR__31__metadata.json +++ b/metadata/UiPathDocumentOCR__37__metadata.json @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 31, - "customVersion": "24.10.2", - "imagePath": "du-doc-ocr:v24.10-1.27-rc02", + "version": 37, + "customVersion": "24.10.4", + "imagePath": "du-doc-ocr:v24.10-3.28-rc01", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} \ No newline at end of file +} From 3c4732c511fa5f687849d80d5775b37486e42bae Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Thu, 3 Apr 2025 10:53:24 +0300 Subject: [PATCH 242/267] Update the existing 24.10.3 doc ocr --- ...metadata.json => UiPathDocumentOCR__31__metadata.json} | 8 ++++---- metadata/UiPathDocumentOCR__34__metadata.json | 2 +- 2 files changed, 5 insertions(+), 5 deletions(-) rename metadata/{UiPathDocumentOCR__37__metadata.json => UiPathDocumentOCR__31__metadata.json} (95%) diff --git a/metadata/UiPathDocumentOCR__37__metadata.json b/metadata/UiPathDocumentOCR__31__metadata.json similarity index 95% rename from metadata/UiPathDocumentOCR__37__metadata.json rename to metadata/UiPathDocumentOCR__31__metadata.json index a6d3f084..55d8c8c6 100644 --- a/metadata/UiPathDocumentOCR__37__metadata.json +++ b/metadata/UiPathDocumentOCR__31__metadata.json @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 4, - "version": 37, - "customVersion": "24.10.4", - "imagePath": "du-doc-ocr:v24.10-3.28-rc01", + "version": 31, + "customVersion": "24.10.2", + "imagePath": "du-doc-ocr:v24.10-1.27-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" -} +} \ No newline at end of file diff --git a/metadata/UiPathDocumentOCR__34__metadata.json b/metadata/UiPathDocumentOCR__34__metadata.json index 3d95ddd4..08a012cc 100644 --- a/metadata/UiPathDocumentOCR__34__metadata.json +++ b/metadata/UiPathDocumentOCR__34__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 34, "customVersion": "24.10.3", - "imagePath": "du-doc-ocr:v24.10-3.11-rc01", + "imagePath": "du-doc-ocr:v24.10-3.28-rc01", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } From dc12a1a91ea55c491e80a0235212b615362a2669 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Mon, 14 Apr 2025 14:16:21 +0300 Subject: [PATCH 243/267] Add back ETC metadata in testing (#376) --- ...nglishTextClassification__2__metadata.json | 24 +++++++++++++++++++ 1 file changed, 24 insertions(+) create mode 100644 metadata/EnglishTextClassification__2__metadata.json diff --git a/metadata/EnglishTextClassification__2__metadata.json b/metadata/EnglishTextClassification__2__metadata.json new file mode 100644 index 00000000..c361dbfa --- /dev/null +++ b/metadata/EnglishTextClassification__2__metadata.json @@ -0,0 +1,24 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "This is the preview version of a generic, retrainable model for English Classification. This ML Package must be retrained, if deployed without training first, deployment will fail with an error stating that the model is not trained. This model is a deep learning architecture for language classification. It is based on RoBERTa, a self-supervised method for pretraining natural language processing systems. A GPU can be used both at serving time and training time. A GPU delivers ~5-10x improvement in speed. The original paper can be found here https://arxiv.org/abs/1907.11692 by Yinhan Liu, Myle Ott et al. The model was open-sourced by Facebook AI Research.", + "displayName": "EnglishTextClassification", + "gpu": 0, + "inputDescription": "Text to be classified as String: 'I loved this movie.'", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36", + "name": "EnglishTextClassification", + "outputDescription": "JSON with pedicted class name, associated confidence on that class prediction (between 0-1). For example: {\"prediction\": \"Positive\", \"confidence\": 0.9422031841278076,}", + "processorType": "GPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "Language Analysis", + "projectDescription": "Models for analyzing text including language detection, sentiment analysis, and named-entity recognition.", + "tenantName": "Open-Source Packages", + "minAIFabricVersion": "v21.10", + "languageVersion": 0, + "version": 2, + "contentUri": "https:///publicmodels/AIC/EnglishTextClassification/2/EnglishTextClassificationAG.zip" +} From a8992eb0e489948c00d5ebf643aa44c27e080ea6 Mon Sep 17 00:00:00 2001 From: Yash Date: Wed, 12 Mar 2025 11:58:40 -0700 Subject: [PATCH 244/267] Bump image for April CU --- ...tadata.json => ComputerVision__223041305__metadata.json} | 6 +++--- ...tadata.json => ComputerVision__223100517__metadata.json} | 6 +++--- ...tadata.json => ComputerVision__224100002__metadata.json} | 6 +++--- 3 files changed, 9 insertions(+), 9 deletions(-) rename metadata/{ComputerVision__223041303__metadata.json => ComputerVision__223041305__metadata.json} (93%) rename metadata/{ComputerVision__223100516__metadata.json => ComputerVision__223100517__metadata.json} (93%) rename metadata/{ComputerVision__224100001__metadata.json => ComputerVision__224100002__metadata.json} (93%) diff --git a/metadata/ComputerVision__223041303__metadata.json b/metadata/ComputerVision__223041305__metadata.json similarity index 93% rename from metadata/ComputerVision__223041303__metadata.json rename to metadata/ComputerVision__223041305__metadata.json index 5cde28e3..2163483f 100644 --- a/metadata/ComputerVision__223041303__metadata.json +++ b/metadata/ComputerVision__223041305__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.04.10", + "changeLog": "Release v2023.04.12", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 223041303, + "version": 223041305, "customVersion": "23.04.10", - "imagePath": "cv2304:23.4.13.3", + "imagePath": "cv2304:23.4.13.5", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"200\"}]}" } diff --git a/metadata/ComputerVision__223100516__metadata.json b/metadata/ComputerVision__223100517__metadata.json similarity index 93% rename from metadata/ComputerVision__223100516__metadata.json rename to metadata/ComputerVision__223100517__metadata.json index ef277659..15ff9775 100644 --- a/metadata/ComputerVision__223100516__metadata.json +++ b/metadata/ComputerVision__223100517__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.8", + "changeLog": "Release v2023.10.9", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 223100516, + "version": 223100517, "customVersion": "23.10.7", - "imagePath": "cv2310:23.10.5.16", + "imagePath": "cv2310:23.10.5.17", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } diff --git a/metadata/ComputerVision__224100001__metadata.json b/metadata/ComputerVision__224100002__metadata.json similarity index 93% rename from metadata/ComputerVision__224100001__metadata.json rename to metadata/ComputerVision__224100002__metadata.json index 827814e8..c84a9506 100644 --- a/metadata/ComputerVision__224100001__metadata.json +++ b/metadata/ComputerVision__224100002__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.7.1", + "changeLog": "Release v2023.10.9", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 224100001, + "version": 224100002, "customVersion": "23.10.7.1", - "imagePath": "cv2410:24.10.0.1", + "imagePath": "cv2410:24.10.0.2", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From fdc9523570d81d91783caa7428e0b7249bc1cbc3 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Wed, 21 May 2025 08:52:27 +0300 Subject: [PATCH 245/267] Add metadatas for June 25 CUs (#378) --- metadata/1040ScheduleC__12__metadata.json | 33 ++++++++++++++++++ metadata/1040ScheduleC__13__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleD__12__metadata.json | 33 ++++++++++++++++++ metadata/1040ScheduleD__13__metadata.json | 34 +++++++++++++++++++ metadata/1040ScheduleE__12__metadata.json | 33 ++++++++++++++++++ metadata/1040ScheduleE__13__metadata.json | 34 +++++++++++++++++++ metadata/1040__35__metadata.json | 33 ++++++++++++++++++ metadata/1040__36__metadata.json | 34 +++++++++++++++++++ metadata/1040x__5__metadata.json | 33 ++++++++++++++++++ metadata/3949a__5__metadata.json | 33 ++++++++++++++++++ metadata/4506T__37__metadata.json | 33 ++++++++++++++++++ metadata/4506T__38__metadata.json | 34 +++++++++++++++++++ metadata/709__5__metadata.json | 33 ++++++++++++++++++ metadata/941x__5__metadata.json | 33 ++++++++++++++++++ metadata/9465__5__metadata.json | 33 ++++++++++++++++++ metadata/Acord125__37__metadata.json | 33 ++++++++++++++++++ metadata/Acord125__38__metadata.json | 34 +++++++++++++++++++ metadata/Acord126__35__metadata.json | 33 ++++++++++++++++++ metadata/Acord126__36__metadata.json | 34 +++++++++++++++++++ metadata/Acord131__35__metadata.json | 33 ++++++++++++++++++ metadata/Acord131__36__metadata.json | 34 +++++++++++++++++++ metadata/Acord140__35__metadata.json | 33 ++++++++++++++++++ metadata/Acord140__36__metadata.json | 34 +++++++++++++++++++ metadata/Acord25__35__metadata.json | 33 ++++++++++++++++++ metadata/Acord25__36__metadata.json | 34 +++++++++++++++++++ metadata/BankStatements__35__metadata.json | 32 +++++++++++++++++ metadata/BankStatements__36__metadata.json | 33 ++++++++++++++++++ metadata/BillsOfLading__35__metadata.json | 32 +++++++++++++++++ metadata/BillsOfLading__36__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__24__metadata.json | 33 ++++++++++++++++++ metadata/CMS1500__25__metadata.json | 34 +++++++++++++++++++ ...ificatesOfIncorporation__24__metadata.json | 33 ++++++++++++++++++ ...ificatesOfIncorporation__25__metadata.json | 34 +++++++++++++++++++ .../CertificatesOfOrigin__24__metadata.json | 33 ++++++++++++++++++ .../CertificatesOfOrigin__25__metadata.json | 34 +++++++++++++++++++ metadata/Checks__35__metadata.json | 32 +++++++++++++++++ metadata/Checks__36__metadata.json | 33 ++++++++++++++++++ ...drenProductCertificates__24__metadata.json | 33 ++++++++++++++++++ ...drenProductCertificates__25__metadata.json | 34 +++++++++++++++++++ .../DocumentClassifier__37__metadata.json | 26 ++++++++++++++ .../DocumentClassifier__38__metadata.json | 27 +++++++++++++++ .../DocumentUnderstanding__46__metadata.json | 33 ++++++++++++++++++ .../DocumentUnderstanding__47__metadata.json | 34 +++++++++++++++++++ ...DeclarationOfConformity__24__metadata.json | 33 ++++++++++++++++++ ...DeclarationOfConformity__25__metadata.json | 34 +++++++++++++++++++ metadata/FM1003__37__metadata.json | 33 ++++++++++++++++++ metadata/FM1003__38__metadata.json | 34 +++++++++++++++++++ .../FinancialStatements__35__metadata.json | 32 +++++++++++++++++ .../FinancialStatements__36__metadata.json | 33 ++++++++++++++++++ metadata/I9__37__metadata.json | 33 ++++++++++++++++++ metadata/I9__38__metadata.json | 34 +++++++++++++++++++ metadata/IDCards__39__metadata.json | 33 ++++++++++++++++++ metadata/IDCards__40__metadata.json | 34 +++++++++++++++++++ metadata/IndianInvoices__45__metadata.json | 33 ++++++++++++++++++ metadata/IndianInvoices__46__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesChina__38__metadata.json | 33 ++++++++++++++++++ metadata/InvoicesChina__39__metadata.json | 34 +++++++++++++++++++ metadata/InvoicesHebrew__5__metadata.json | 33 ++++++++++++++++++ metadata/InvoicesShipping__24__metadata.json | 33 ++++++++++++++++++ metadata/InvoicesShipping__25__metadata.json | 34 +++++++++++++++++++ metadata/Invoices__46__metadata.json | 32 +++++++++++++++++ metadata/Invoices__47__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__43__metadata.json | 33 ++++++++++++++++++ metadata/JapaneseInvoices__44__metadata.json | 34 +++++++++++++++++++ metadata/PackingLists__35__metadata.json | 32 +++++++++++++++++ metadata/PackingLists__36__metadata.json | 33 ++++++++++++++++++ metadata/Passports__39__metadata.json | 33 ++++++++++++++++++ metadata/Passports__40__metadata.json | 34 +++++++++++++++++++ metadata/Payslips__24__metadata.json | 33 ++++++++++++++++++ metadata/Payslips__25__metadata.json | 34 +++++++++++++++++++ metadata/PurchaseOrders__45__metadata.json | 33 ++++++++++++++++++ metadata/PurchaseOrders__46__metadata.json | 34 +++++++++++++++++++ metadata/Receipts__46__metadata.json | 33 ++++++++++++++++++ metadata/Receipts__47__metadata.json | 34 +++++++++++++++++++ metadata/RemittanceAdvices__38__metadata.json | 33 ++++++++++++++++++ metadata/RemittanceAdvices__39__metadata.json | 34 +++++++++++++++++++ metadata/UB04__12__metadata.json | 33 ++++++++++++++++++ metadata/UB04__13__metadata.json | 34 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__31__metadata.json | 26 ++++++++++++++ .../UiPathDocumentOCR_CPU__32__metadata.json | 27 +++++++++++++++ metadata/UiPathDocumentOCR__37__metadata.json | 26 ++++++++++++++ metadata/UiPathDocumentOCR__38__metadata.json | 27 +++++++++++++++ metadata/UtilityBills__45__metadata.json | 33 ++++++++++++++++++ metadata/UtilityBills__46__metadata.json | 34 +++++++++++++++++++ metadata/VehicleTitles__35__metadata.json | 32 +++++++++++++++++ metadata/VehicleTitles__36__metadata.json | 33 ++++++++++++++++++ metadata/W2__38__metadata.json | 33 ++++++++++++++++++ metadata/W2__39__metadata.json | 34 +++++++++++++++++++ metadata/W9__38__metadata.json | 33 ++++++++++++++++++ metadata/W9__39__metadata.json | 34 +++++++++++++++++++ metadata_generate_new_du_versions.ps1 | 6 ++-- 91 files changed, 2959 insertions(+), 3 deletions(-) create mode 100644 metadata/1040ScheduleC__12__metadata.json create mode 100644 metadata/1040ScheduleC__13__metadata.json create mode 100644 metadata/1040ScheduleD__12__metadata.json create mode 100644 metadata/1040ScheduleD__13__metadata.json create mode 100644 metadata/1040ScheduleE__12__metadata.json create mode 100644 metadata/1040ScheduleE__13__metadata.json create mode 100644 metadata/1040__35__metadata.json create mode 100644 metadata/1040__36__metadata.json create mode 100644 metadata/1040x__5__metadata.json create mode 100644 metadata/3949a__5__metadata.json create mode 100644 metadata/4506T__37__metadata.json create mode 100644 metadata/4506T__38__metadata.json create mode 100644 metadata/709__5__metadata.json create mode 100644 metadata/941x__5__metadata.json create mode 100644 metadata/9465__5__metadata.json create mode 100644 metadata/Acord125__37__metadata.json create mode 100644 metadata/Acord125__38__metadata.json create mode 100644 metadata/Acord126__35__metadata.json create mode 100644 metadata/Acord126__36__metadata.json create mode 100644 metadata/Acord131__35__metadata.json create mode 100644 metadata/Acord131__36__metadata.json create mode 100644 metadata/Acord140__35__metadata.json create mode 100644 metadata/Acord140__36__metadata.json create mode 100644 metadata/Acord25__35__metadata.json create mode 100644 metadata/Acord25__36__metadata.json create mode 100644 metadata/BankStatements__35__metadata.json create mode 100644 metadata/BankStatements__36__metadata.json create mode 100644 metadata/BillsOfLading__35__metadata.json create mode 100644 metadata/BillsOfLading__36__metadata.json create mode 100644 metadata/CMS1500__24__metadata.json create mode 100644 metadata/CMS1500__25__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__24__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__25__metadata.json create mode 100644 metadata/CertificatesOfOrigin__24__metadata.json create mode 100644 metadata/CertificatesOfOrigin__25__metadata.json create mode 100644 metadata/Checks__35__metadata.json create mode 100644 metadata/Checks__36__metadata.json create mode 100644 metadata/ChildrenProductCertificates__24__metadata.json create mode 100644 metadata/ChildrenProductCertificates__25__metadata.json create mode 100644 metadata/DocumentClassifier__37__metadata.json create mode 100644 metadata/DocumentClassifier__38__metadata.json create mode 100644 metadata/DocumentUnderstanding__46__metadata.json create mode 100644 metadata/DocumentUnderstanding__47__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__24__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__25__metadata.json create mode 100644 metadata/FM1003__37__metadata.json create mode 100644 metadata/FM1003__38__metadata.json create mode 100644 metadata/FinancialStatements__35__metadata.json create mode 100644 metadata/FinancialStatements__36__metadata.json create mode 100644 metadata/I9__37__metadata.json create mode 100644 metadata/I9__38__metadata.json create mode 100644 metadata/IDCards__39__metadata.json create mode 100644 metadata/IDCards__40__metadata.json create mode 100644 metadata/IndianInvoices__45__metadata.json create mode 100644 metadata/IndianInvoices__46__metadata.json create mode 100644 metadata/InvoicesChina__38__metadata.json create mode 100644 metadata/InvoicesChina__39__metadata.json create mode 100644 metadata/InvoicesHebrew__5__metadata.json create mode 100644 metadata/InvoicesShipping__24__metadata.json create mode 100644 metadata/InvoicesShipping__25__metadata.json create mode 100644 metadata/Invoices__46__metadata.json create mode 100644 metadata/Invoices__47__metadata.json create mode 100644 metadata/JapaneseInvoices__43__metadata.json create mode 100644 metadata/JapaneseInvoices__44__metadata.json create mode 100644 metadata/PackingLists__35__metadata.json create mode 100644 metadata/PackingLists__36__metadata.json create mode 100644 metadata/Passports__39__metadata.json create mode 100644 metadata/Passports__40__metadata.json create mode 100644 metadata/Payslips__24__metadata.json create mode 100644 metadata/Payslips__25__metadata.json create mode 100644 metadata/PurchaseOrders__45__metadata.json create mode 100644 metadata/PurchaseOrders__46__metadata.json create mode 100644 metadata/Receipts__46__metadata.json create mode 100644 metadata/Receipts__47__metadata.json create mode 100644 metadata/RemittanceAdvices__38__metadata.json create mode 100644 metadata/RemittanceAdvices__39__metadata.json create mode 100644 metadata/UB04__12__metadata.json create mode 100644 metadata/UB04__13__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__31__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__32__metadata.json create mode 100644 metadata/UiPathDocumentOCR__37__metadata.json create mode 100644 metadata/UiPathDocumentOCR__38__metadata.json create mode 100644 metadata/UtilityBills__45__metadata.json create mode 100644 metadata/UtilityBills__46__metadata.json create mode 100644 metadata/VehicleTitles__35__metadata.json create mode 100644 metadata/VehicleTitles__36__metadata.json create mode 100644 metadata/W2__38__metadata.json create mode 100644 metadata/W2__39__metadata.json create mode 100644 metadata/W9__38__metadata.json create mode 100644 metadata/W9__39__metadata.json diff --git a/metadata/1040ScheduleC__12__metadata.json b/metadata/1040ScheduleC__12__metadata.json new file mode 100644 index 00000000..aabe1075 --- /dev/null +++ b/metadata/1040ScheduleC__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleC__13__metadata.json b/metadata/1040ScheduleC__13__metadata.json new file mode 100644 index 00000000..4ba374cf --- /dev/null +++ b/metadata/1040ScheduleC__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/709__5__metadata.json b/metadata/709__5__metadata.json new file mode 100644 index 00000000..974fd74a --- /dev/null +++ b/metadata/709__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. 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The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/941x__5__metadata.json b/metadata/941x__5__metadata.json new file mode 100644 index 00000000..aeb9f5a0 --- /dev/null +++ b/metadata/941x__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_941x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 941x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "941x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "941x" + } + ] +} diff --git a/metadata/9465__5__metadata.json b/metadata/9465__5__metadata.json new file mode 100644 index 00000000..35f59614 --- /dev/null +++ b/metadata/9465__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/Acord125__37__metadata.json b/metadata/Acord125__37__metadata.json new file mode 100644 index 00000000..de8eb0fb --- /dev/null +++ b/metadata/Acord125__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord125__38__metadata.json b/metadata/Acord125__38__metadata.json new file mode 100644 index 00000000..80bc9556 --- /dev/null +++ b/metadata/Acord125__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord126__35__metadata.json b/metadata/Acord126__35__metadata.json new file mode 100644 index 00000000..00c4d8ac --- /dev/null +++ b/metadata/Acord126__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord126__36__metadata.json b/metadata/Acord126__36__metadata.json new file mode 100644 index 00000000..dd07371b --- /dev/null +++ b/metadata/Acord126__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord131__35__metadata.json b/metadata/Acord131__35__metadata.json new file mode 100644 index 00000000..b16c8019 --- /dev/null +++ b/metadata/Acord131__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord131__36__metadata.json b/metadata/Acord131__36__metadata.json new file mode 100644 index 00000000..e6d9b50b --- /dev/null +++ b/metadata/Acord131__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord140__35__metadata.json b/metadata/Acord140__35__metadata.json new file mode 100644 index 00000000..e48ab1c8 --- /dev/null +++ b/metadata/Acord140__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord140__36__metadata.json b/metadata/Acord140__36__metadata.json new file mode 100644 index 00000000..af37e993 --- /dev/null +++ b/metadata/Acord140__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord25__35__metadata.json b/metadata/Acord25__35__metadata.json new file mode 100644 index 00000000..50033414 --- /dev/null +++ b/metadata/Acord25__35__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/Acord25__36__metadata.json b/metadata/Acord25__36__metadata.json new file mode 100644 index 00000000..d82fe9a9 --- /dev/null +++ b/metadata/Acord25__36__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/BankStatements__35__metadata.json b/metadata/BankStatements__35__metadata.json new file mode 100644 index 00000000..5fd6a4f1 --- /dev/null +++ b/metadata/BankStatements__35__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BankStatements__36__metadata.json b/metadata/BankStatements__36__metadata.json new file mode 100644 index 00000000..6fab962c --- /dev/null +++ b/metadata/BankStatements__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/BillsOfLading__35__metadata.json b/metadata/BillsOfLading__35__metadata.json new file mode 100644 index 00000000..464f5ec3 --- /dev/null +++ b/metadata/BillsOfLading__35__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/BillsOfLading__36__metadata.json b/metadata/BillsOfLading__36__metadata.json new file mode 100644 index 00000000..62f5d55d --- /dev/null +++ b/metadata/BillsOfLading__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CMS1500__24__metadata.json b/metadata/CMS1500__24__metadata.json new file mode 100644 index 00000000..743ba3cb --- /dev/null +++ b/metadata/CMS1500__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CMS1500__25__metadata.json b/metadata/CMS1500__25__metadata.json new file mode 100644 index 00000000..cb8a87a9 --- /dev/null +++ b/metadata/CMS1500__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CertificatesOfIncorporation__24__metadata.json b/metadata/CertificatesOfIncorporation__24__metadata.json new file mode 100644 index 00000000..ff452c82 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__25__metadata.json b/metadata/CertificatesOfIncorporation__25__metadata.json new file mode 100644 index 00000000..74510766 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CertificatesOfOrigin__24__metadata.json b/metadata/CertificatesOfOrigin__24__metadata.json new file mode 100644 index 00000000..9f15d5a4 --- /dev/null +++ b/metadata/CertificatesOfOrigin__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__25__metadata.json b/metadata/CertificatesOfOrigin__25__metadata.json new file mode 100644 index 00000000..666803a6 --- /dev/null +++ b/metadata/CertificatesOfOrigin__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Checks__35__metadata.json b/metadata/Checks__35__metadata.json new file mode 100644 index 00000000..28a571c2 --- /dev/null +++ b/metadata/Checks__35__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/Checks__36__metadata.json b/metadata/Checks__36__metadata.json new file mode 100644 index 00000000..8973760e --- /dev/null +++ b/metadata/Checks__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/ChildrenProductCertificates__24__metadata.json b/metadata/ChildrenProductCertificates__24__metadata.json new file mode 100644 index 00000000..dd523d63 --- /dev/null +++ b/metadata/ChildrenProductCertificates__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__25__metadata.json b/metadata/ChildrenProductCertificates__25__metadata.json new file mode 100644 index 00000000..d1b7532d --- /dev/null +++ b/metadata/ChildrenProductCertificates__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/DocumentClassifier__37__metadata.json b/metadata/DocumentClassifier__37__metadata.json new file mode 100644 index 00000000..9f5838a0 --- /dev/null +++ b/metadata/DocumentClassifier__37__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.4", + "imagePath": "du-ml-document-type-text-classifier:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentClassifier__38__metadata.json b/metadata/DocumentClassifier__38__metadata.json new file mode 100644 index 00000000..379c8b0b --- /dev/null +++ b/metadata/DocumentClassifier__38__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.10", + "imagePath": "du-ml-document-type-text-classifier:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/DocumentUnderstanding__46__metadata.json b/metadata/DocumentUnderstanding__46__metadata.json new file mode 100644 index 00000000..0ee83b0f --- /dev/null +++ b/metadata/DocumentUnderstanding__46__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 46, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/DocumentUnderstanding__47__metadata.json b/metadata/DocumentUnderstanding__47__metadata.json new file mode 100644 index 00000000..f043b28e --- /dev/null +++ b/metadata/DocumentUnderstanding__47__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 47, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/EUDeclarationOfConformity__24__metadata.json b/metadata/EUDeclarationOfConformity__24__metadata.json new file mode 100644 index 00000000..f0f8dcc6 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__25__metadata.json b/metadata/EUDeclarationOfConformity__25__metadata.json new file mode 100644 index 00000000..68df59ed --- /dev/null +++ b/metadata/EUDeclarationOfConformity__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/FM1003__37__metadata.json b/metadata/FM1003__37__metadata.json new file mode 100644 index 00000000..abb428ef --- /dev/null +++ b/metadata/FM1003__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FM1003__38__metadata.json b/metadata/FM1003__38__metadata.json new file mode 100644 index 00000000..3daa8830 --- /dev/null +++ b/metadata/FM1003__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/FinancialStatements__35__metadata.json b/metadata/FinancialStatements__35__metadata.json new file mode 100644 index 00000000..1733e4b7 --- /dev/null +++ b/metadata/FinancialStatements__35__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/FinancialStatements__36__metadata.json b/metadata/FinancialStatements__36__metadata.json new file mode 100644 index 00000000..863e7689 --- /dev/null +++ b/metadata/FinancialStatements__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/I9__37__metadata.json b/metadata/I9__37__metadata.json new file mode 100644 index 00000000..a8528d59 --- /dev/null +++ b/metadata/I9__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/I9__38__metadata.json b/metadata/I9__38__metadata.json new file mode 100644 index 00000000..ee05f4c3 --- /dev/null +++ b/metadata/I9__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/IDCards__39__metadata.json b/metadata/IDCards__39__metadata.json new file mode 100644 index 00000000..0e411ea2 --- /dev/null +++ b/metadata/IDCards__39__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IDCards__40__metadata.json b/metadata/IDCards__40__metadata.json new file mode 100644 index 00000000..c0c3c342 --- /dev/null +++ b/metadata/IDCards__40__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/IndianInvoices__45__metadata.json b/metadata/IndianInvoices__45__metadata.json new file mode 100644 index 00000000..ca5ea750 --- /dev/null +++ b/metadata/IndianInvoices__45__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/IndianInvoices__46__metadata.json b/metadata/IndianInvoices__46__metadata.json new file mode 100644 index 00000000..0534fa86 --- /dev/null +++ b/metadata/IndianInvoices__46__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 46, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/InvoicesChina__38__metadata.json b/metadata/InvoicesChina__38__metadata.json new file mode 100644 index 00000000..5e7d87ce --- /dev/null +++ b/metadata/InvoicesChina__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesChina__39__metadata.json b/metadata/InvoicesChina__39__metadata.json new file mode 100644 index 00000000..abfd81c4 --- /dev/null +++ b/metadata/InvoicesChina__39__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/InvoicesHebrew__5__metadata.json b/metadata/InvoicesHebrew__5__metadata.json new file mode 100644 index 00000000..f2effb4b --- /dev/null +++ b/metadata/InvoicesHebrew__5__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 5, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__24__metadata.json b/metadata/InvoicesShipping__24__metadata.json new file mode 100644 index 00000000..1e7ab7de --- /dev/null +++ b/metadata/InvoicesShipping__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/InvoicesShipping__25__metadata.json b/metadata/InvoicesShipping__25__metadata.json new file mode 100644 index 00000000..59d5c1a8 --- /dev/null +++ b/metadata/InvoicesShipping__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Invoices__46__metadata.json b/metadata/Invoices__46__metadata.json new file mode 100644 index 00000000..59740313 --- /dev/null +++ b/metadata/Invoices__46__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 46, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/Invoices__47__metadata.json b/metadata/Invoices__47__metadata.json new file mode 100644 index 00000000..6c1999c1 --- /dev/null +++ b/metadata/Invoices__47__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 47, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/JapaneseInvoices__43__metadata.json b/metadata/JapaneseInvoices__43__metadata.json new file mode 100644 index 00000000..456c118f --- /dev/null +++ b/metadata/JapaneseInvoices__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/JapaneseInvoices__44__metadata.json b/metadata/JapaneseInvoices__44__metadata.json new file mode 100644 index 00000000..b85f5b5c --- /dev/null +++ b/metadata/JapaneseInvoices__44__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/PackingLists__35__metadata.json b/metadata/PackingLists__35__metadata.json new file mode 100644 index 00000000..dc399a17 --- /dev/null +++ b/metadata/PackingLists__35__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/PackingLists__36__metadata.json b/metadata/PackingLists__36__metadata.json new file mode 100644 index 00000000..d81bf83e --- /dev/null +++ b/metadata/PackingLists__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Passports__39__metadata.json b/metadata/Passports__39__metadata.json new file mode 100644 index 00000000..f84bfe7f --- /dev/null +++ b/metadata/Passports__39__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Passports__40__metadata.json b/metadata/Passports__40__metadata.json new file mode 100644 index 00000000..fcdbf1e3 --- /dev/null +++ b/metadata/Passports__40__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Payslips__24__metadata.json b/metadata/Payslips__24__metadata.json new file mode 100644 index 00000000..7198914a --- /dev/null +++ b/metadata/Payslips__24__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 24, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/Payslips__25__metadata.json b/metadata/Payslips__25__metadata.json new file mode 100644 index 00000000..8cdc5c86 --- /dev/null +++ b/metadata/Payslips__25__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 25, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/PurchaseOrders__45__metadata.json b/metadata/PurchaseOrders__45__metadata.json new file mode 100644 index 00000000..7f7eafe3 --- /dev/null +++ b/metadata/PurchaseOrders__45__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/PurchaseOrders__46__metadata.json b/metadata/PurchaseOrders__46__metadata.json new file mode 100644 index 00000000..e7597518 --- /dev/null +++ b/metadata/PurchaseOrders__46__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 46, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Receipts__46__metadata.json b/metadata/Receipts__46__metadata.json new file mode 100644 index 00000000..3435c261 --- /dev/null +++ b/metadata/Receipts__46__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 46, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/Receipts__47__metadata.json b/metadata/Receipts__47__metadata.json new file mode 100644 index 00000000..c3d9b6fc --- /dev/null +++ b/metadata/Receipts__47__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 47, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/RemittanceAdvices__38__metadata.json b/metadata/RemittanceAdvices__38__metadata.json new file mode 100644 index 00000000..7c5cb3d6 --- /dev/null +++ b/metadata/RemittanceAdvices__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/RemittanceAdvices__39__metadata.json b/metadata/RemittanceAdvices__39__metadata.json new file mode 100644 index 00000000..a145ac79 --- /dev/null +++ b/metadata/RemittanceAdvices__39__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UB04__12__metadata.json b/metadata/UB04__12__metadata.json new file mode 100644 index 00000000..da873b78 --- /dev/null +++ b/metadata/UB04__12__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 12, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UB04__13__metadata.json b/metadata/UB04__13__metadata.json new file mode 100644 index 00000000..81e3f4b1 --- /dev/null +++ b/metadata/UB04__13__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 13, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UiPathDocumentOCR_CPU__31__metadata.json b/metadata/UiPathDocumentOCR_CPU__31__metadata.json new file mode 100644 index 00000000..0aa55997 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__31__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 31, + "customVersion": "24.10.4", + "imagePath": "du-doc-ocr-cpu:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR_CPU__32__metadata.json b/metadata/UiPathDocumentOCR_CPU__32__metadata.json new file mode 100644 index 00000000..07c87075 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__32__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 32, + "customVersion": "23.10.10", + "imagePath": "du-doc-ocr-cpu:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UiPathDocumentOCR__37__metadata.json b/metadata/UiPathDocumentOCR__37__metadata.json new file mode 100644 index 00000000..557088b0 --- /dev/null +++ b/metadata/UiPathDocumentOCR__37__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.4", + "imagePath": "du-doc-ocr:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__38__metadata.json b/metadata/UiPathDocumentOCR__38__metadata.json new file mode 100644 index 00000000..aff58bf5 --- /dev/null +++ b/metadata/UiPathDocumentOCR__38__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.10", + "imagePath": "du-doc-ocr:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UtilityBills__45__metadata.json b/metadata/UtilityBills__45__metadata.json new file mode 100644 index 00000000..bdfd0a7f --- /dev/null +++ b/metadata/UtilityBills__45__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/UtilityBills__46__metadata.json b/metadata/UtilityBills__46__metadata.json new file mode 100644 index 00000000..4bade0b7 --- /dev/null +++ b/metadata/UtilityBills__46__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 46, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/VehicleTitles__35__metadata.json b/metadata/VehicleTitles__35__metadata.json new file mode 100644 index 00000000..9e61aa4d --- /dev/null +++ b/metadata/VehicleTitles__35__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/VehicleTitles__36__metadata.json b/metadata/VehicleTitles__36__metadata.json new file mode 100644 index 00000000..172901ed --- /dev/null +++ b/metadata/VehicleTitles__36__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/W2__38__metadata.json b/metadata/W2__38__metadata.json new file mode 100644 index 00000000..d2644f09 --- /dev/null +++ b/metadata/W2__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W2__39__metadata.json b/metadata/W2__39__metadata.json new file mode 100644 index 00000000..06145918 --- /dev/null +++ b/metadata/W2__39__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/W9__38__metadata.json b/metadata/W9__38__metadata.json new file mode 100644 index 00000000..202138e4 --- /dev/null +++ b/metadata/W9__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "24.10.4", + "imagePath": "du-semistructured:v24.10-5.15-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata/W9__39__metadata.json b/metadata/W9__39__metadata.json new file mode 100644 index 00000000..dce203ea --- /dev/null +++ b/metadata/W9__39__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "23.10.10", + "imagePath": "du-semistructured:v23.10-05.19-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 5df522e0..10bf99e8 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -9,13 +9,13 @@ $folderPath = $PSScriptRoot + "/metadata" echo $folderPath -$previousCustomVersion = '23.4.11' +$previousCustomVersion = '23.10.9' # Set the new custom version number -$newCustomVersion = '23.4.12' +$newCustomVersion = '23.10.10' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v23.4-03.12-rc02' +$newTag = 'v23.10-05.19-rc03' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From f97e75270066e95fef440cad002613251349af6a Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Wed, 28 May 2025 11:34:20 +0300 Subject: [PATCH 246/267] Bump to latest 24.10.4 and 23.10.10 base images (#379) --- metadata/1040ScheduleC__12__metadata.json | 2 +- metadata/1040ScheduleC__13__metadata.json | 2 +- metadata/1040ScheduleD__12__metadata.json | 2 +- metadata/1040ScheduleD__13__metadata.json | 2 +- metadata/1040ScheduleE__12__metadata.json | 2 +- metadata/1040ScheduleE__13__metadata.json | 2 +- metadata/1040__35__metadata.json | 2 +- metadata/1040__36__metadata.json | 2 +- metadata/1040x__5__metadata.json | 2 +- metadata/3949a__5__metadata.json | 2 +- metadata/4506T__37__metadata.json | 2 +- metadata/4506T__38__metadata.json | 2 +- metadata/709__5__metadata.json | 2 +- metadata/941x__5__metadata.json | 2 +- metadata/9465__5__metadata.json | 2 +- metadata/Acord125__37__metadata.json | 2 +- metadata/Acord125__38__metadata.json | 2 +- metadata/Acord126__35__metadata.json | 2 +- metadata/Acord126__36__metadata.json | 2 +- metadata/Acord131__35__metadata.json | 2 +- metadata/Acord131__36__metadata.json | 2 +- metadata/Acord140__35__metadata.json | 2 +- metadata/Acord140__36__metadata.json | 2 +- metadata/Acord25__35__metadata.json | 2 +- metadata/Acord25__36__metadata.json | 2 +- metadata/BankStatements__35__metadata.json | 2 +- metadata/BankStatements__36__metadata.json | 2 +- metadata/BillsOfLading__35__metadata.json | 2 +- metadata/BillsOfLading__36__metadata.json | 2 +- metadata/CMS1500__24__metadata.json | 2 +- metadata/CMS1500__25__metadata.json | 2 +- metadata/CertificatesOfIncorporation__24__metadata.json | 2 +- metadata/CertificatesOfIncorporation__25__metadata.json | 2 +- metadata/CertificatesOfOrigin__24__metadata.json | 2 +- metadata/CertificatesOfOrigin__25__metadata.json | 2 +- metadata/Checks__35__metadata.json | 2 +- metadata/Checks__36__metadata.json | 2 +- metadata/ChildrenProductCertificates__24__metadata.json | 2 +- metadata/ChildrenProductCertificates__25__metadata.json | 2 +- metadata/DocumentClassifier__37__metadata.json | 2 +- metadata/DocumentClassifier__38__metadata.json | 2 +- metadata/DocumentUnderstanding__46__metadata.json | 2 +- metadata/DocumentUnderstanding__47__metadata.json | 2 +- metadata/EUDeclarationOfConformity__24__metadata.json | 2 +- metadata/EUDeclarationOfConformity__25__metadata.json | 2 +- metadata/FM1003__37__metadata.json | 2 +- metadata/FM1003__38__metadata.json | 2 +- metadata/FinancialStatements__35__metadata.json | 2 +- metadata/FinancialStatements__36__metadata.json | 2 +- metadata/I9__37__metadata.json | 2 +- metadata/I9__38__metadata.json | 2 +- metadata/IDCards__39__metadata.json | 2 +- metadata/IDCards__40__metadata.json | 2 +- metadata/IndianInvoices__45__metadata.json | 2 +- metadata/IndianInvoices__46__metadata.json | 2 +- metadata/InvoicesChina__38__metadata.json | 2 +- metadata/InvoicesChina__39__metadata.json | 2 +- metadata/InvoicesHebrew__5__metadata.json | 2 +- metadata/InvoicesShipping__24__metadata.json | 2 +- metadata/InvoicesShipping__25__metadata.json | 2 +- metadata/Invoices__46__metadata.json | 2 +- metadata/Invoices__47__metadata.json | 2 +- metadata/JapaneseInvoices__43__metadata.json | 2 +- metadata/JapaneseInvoices__44__metadata.json | 2 +- metadata/PackingLists__35__metadata.json | 2 +- metadata/PackingLists__36__metadata.json | 2 +- metadata/Passports__39__metadata.json | 2 +- metadata/Passports__40__metadata.json | 2 +- metadata/Payslips__24__metadata.json | 2 +- metadata/Payslips__25__metadata.json | 2 +- metadata/PurchaseOrders__45__metadata.json | 2 +- metadata/PurchaseOrders__46__metadata.json | 2 +- metadata/Receipts__46__metadata.json | 2 +- metadata/Receipts__47__metadata.json | 2 +- metadata/RemittanceAdvices__38__metadata.json | 2 +- metadata/RemittanceAdvices__39__metadata.json | 2 +- metadata/UB04__12__metadata.json | 2 +- metadata/UB04__13__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__31__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__32__metadata.json | 2 +- metadata/UiPathDocumentOCR__37__metadata.json | 2 +- metadata/UiPathDocumentOCR__38__metadata.json | 2 +- metadata/UtilityBills__45__metadata.json | 2 +- metadata/UtilityBills__46__metadata.json | 2 +- metadata/VehicleTitles__35__metadata.json | 2 +- metadata/VehicleTitles__36__metadata.json | 2 +- metadata/W2__38__metadata.json | 2 +- metadata/W2__39__metadata.json | 2 +- metadata/W9__38__metadata.json | 2 +- metadata/W9__39__metadata.json | 2 +- metadata_generate_new_du_versions.ps1 | 2 +- 91 files changed, 91 insertions(+), 91 deletions(-) diff --git a/metadata/1040ScheduleC__12__metadata.json b/metadata/1040ScheduleC__12__metadata.json index aabe1075..68a70381 100644 --- a/metadata/1040ScheduleC__12__metadata.json +++ b/metadata/1040ScheduleC__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleC__13__metadata.json b/metadata/1040ScheduleC__13__metadata.json index 4ba374cf..1a498d46 100644 --- a/metadata/1040ScheduleC__13__metadata.json +++ b/metadata/1040ScheduleC__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__12__metadata.json b/metadata/1040ScheduleD__12__metadata.json index bad5ec9e..3220497a 100644 --- a/metadata/1040ScheduleD__12__metadata.json +++ b/metadata/1040ScheduleD__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__13__metadata.json b/metadata/1040ScheduleD__13__metadata.json index 688f6638..34085f80 100644 --- a/metadata/1040ScheduleD__13__metadata.json +++ b/metadata/1040ScheduleD__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__12__metadata.json b/metadata/1040ScheduleE__12__metadata.json index b9962552..3671c8f2 100644 --- a/metadata/1040ScheduleE__12__metadata.json +++ b/metadata/1040ScheduleE__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__13__metadata.json b/metadata/1040ScheduleE__13__metadata.json index 18ac52c3..ced5cfae 100644 --- a/metadata/1040ScheduleE__13__metadata.json +++ b/metadata/1040ScheduleE__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__35__metadata.json b/metadata/1040__35__metadata.json index 36c56a3c..26259cb7 100644 --- a/metadata/1040__35__metadata.json +++ b/metadata/1040__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__36__metadata.json b/metadata/1040__36__metadata.json index 76d1b51e..6afc7d00 100644 --- a/metadata/1040__36__metadata.json +++ b/metadata/1040__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__5__metadata.json b/metadata/1040x__5__metadata.json index 430731b2..8c7eaa03 100644 --- a/metadata/1040x__5__metadata.json +++ b/metadata/1040x__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__5__metadata.json b/metadata/3949a__5__metadata.json index ffa1214f..7ee3ee09 100644 --- a/metadata/3949a__5__metadata.json +++ b/metadata/3949a__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__37__metadata.json b/metadata/4506T__37__metadata.json index 9b40f4f1..67a9c8d8 100644 --- a/metadata/4506T__37__metadata.json +++ b/metadata/4506T__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__38__metadata.json b/metadata/4506T__38__metadata.json index 5829d968..dfb1a529 100644 --- a/metadata/4506T__38__metadata.json +++ b/metadata/4506T__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__5__metadata.json b/metadata/709__5__metadata.json index 974fd74a..341650ad 100644 --- a/metadata/709__5__metadata.json +++ b/metadata/709__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__5__metadata.json b/metadata/941x__5__metadata.json index aeb9f5a0..9ab115e7 100644 --- a/metadata/941x__5__metadata.json +++ b/metadata/941x__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__5__metadata.json b/metadata/9465__5__metadata.json index 35f59614..99a550d6 100644 --- a/metadata/9465__5__metadata.json +++ b/metadata/9465__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__37__metadata.json b/metadata/Acord125__37__metadata.json index de8eb0fb..5622dc1d 100644 --- a/metadata/Acord125__37__metadata.json +++ b/metadata/Acord125__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__38__metadata.json b/metadata/Acord125__38__metadata.json index 80bc9556..3cdf2b51 100644 --- a/metadata/Acord125__38__metadata.json +++ b/metadata/Acord125__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__35__metadata.json b/metadata/Acord126__35__metadata.json index 00c4d8ac..aeffa996 100644 --- a/metadata/Acord126__35__metadata.json +++ b/metadata/Acord126__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__36__metadata.json b/metadata/Acord126__36__metadata.json index dd07371b..38036c47 100644 --- a/metadata/Acord126__36__metadata.json +++ b/metadata/Acord126__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__35__metadata.json b/metadata/Acord131__35__metadata.json index b16c8019..86efa4fe 100644 --- a/metadata/Acord131__35__metadata.json +++ b/metadata/Acord131__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__36__metadata.json b/metadata/Acord131__36__metadata.json index e6d9b50b..5388970c 100644 --- a/metadata/Acord131__36__metadata.json +++ b/metadata/Acord131__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__35__metadata.json b/metadata/Acord140__35__metadata.json index e48ab1c8..005bf450 100644 --- a/metadata/Acord140__35__metadata.json +++ b/metadata/Acord140__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__36__metadata.json b/metadata/Acord140__36__metadata.json index af37e993..7add41a9 100644 --- a/metadata/Acord140__36__metadata.json +++ b/metadata/Acord140__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__35__metadata.json b/metadata/Acord25__35__metadata.json index 50033414..bfed26e4 100644 --- a/metadata/Acord25__35__metadata.json +++ b/metadata/Acord25__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__36__metadata.json b/metadata/Acord25__36__metadata.json index d82fe9a9..fd00bb3e 100644 --- a/metadata/Acord25__36__metadata.json +++ b/metadata/Acord25__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__35__metadata.json b/metadata/BankStatements__35__metadata.json index 5fd6a4f1..bbad01e6 100644 --- a/metadata/BankStatements__35__metadata.json +++ b/metadata/BankStatements__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__36__metadata.json b/metadata/BankStatements__36__metadata.json index 6fab962c..e66c49f4 100644 --- a/metadata/BankStatements__36__metadata.json +++ b/metadata/BankStatements__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__35__metadata.json b/metadata/BillsOfLading__35__metadata.json index 464f5ec3..e98acd20 100644 --- a/metadata/BillsOfLading__35__metadata.json +++ b/metadata/BillsOfLading__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__36__metadata.json b/metadata/BillsOfLading__36__metadata.json index 62f5d55d..dd42e3a0 100644 --- a/metadata/BillsOfLading__36__metadata.json +++ b/metadata/BillsOfLading__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__24__metadata.json b/metadata/CMS1500__24__metadata.json index 743ba3cb..7a610acf 100644 --- a/metadata/CMS1500__24__metadata.json +++ b/metadata/CMS1500__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__25__metadata.json b/metadata/CMS1500__25__metadata.json index cb8a87a9..af5ff347 100644 --- a/metadata/CMS1500__25__metadata.json +++ b/metadata/CMS1500__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__24__metadata.json b/metadata/CertificatesOfIncorporation__24__metadata.json index ff452c82..156b40d0 100644 --- a/metadata/CertificatesOfIncorporation__24__metadata.json +++ b/metadata/CertificatesOfIncorporation__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__25__metadata.json b/metadata/CertificatesOfIncorporation__25__metadata.json index 74510766..da831fdf 100644 --- a/metadata/CertificatesOfIncorporation__25__metadata.json +++ b/metadata/CertificatesOfIncorporation__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__24__metadata.json b/metadata/CertificatesOfOrigin__24__metadata.json index 9f15d5a4..38707815 100644 --- a/metadata/CertificatesOfOrigin__24__metadata.json +++ b/metadata/CertificatesOfOrigin__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__25__metadata.json b/metadata/CertificatesOfOrigin__25__metadata.json index 666803a6..79402e50 100644 --- a/metadata/CertificatesOfOrigin__25__metadata.json +++ b/metadata/CertificatesOfOrigin__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__35__metadata.json b/metadata/Checks__35__metadata.json index 28a571c2..fadc8881 100644 --- a/metadata/Checks__35__metadata.json +++ b/metadata/Checks__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__36__metadata.json b/metadata/Checks__36__metadata.json index 8973760e..3f738471 100644 --- a/metadata/Checks__36__metadata.json +++ b/metadata/Checks__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__24__metadata.json b/metadata/ChildrenProductCertificates__24__metadata.json index dd523d63..d056301e 100644 --- a/metadata/ChildrenProductCertificates__24__metadata.json +++ b/metadata/ChildrenProductCertificates__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__25__metadata.json b/metadata/ChildrenProductCertificates__25__metadata.json index d1b7532d..29a396e0 100644 --- a/metadata/ChildrenProductCertificates__25__metadata.json +++ b/metadata/ChildrenProductCertificates__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__37__metadata.json b/metadata/DocumentClassifier__37__metadata.json index 9f5838a0..d1041720 100644 --- a/metadata/DocumentClassifier__37__metadata.json +++ b/metadata/DocumentClassifier__37__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-ml-document-type-text-classifier:v24.10-5.15-rc03", + "imagePath": "du-ml-document-type-text-classifier:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentClassifier__38__metadata.json b/metadata/DocumentClassifier__38__metadata.json index 379c8b0b..e05f9294 100644 --- a/metadata/DocumentClassifier__38__metadata.json +++ b/metadata/DocumentClassifier__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-ml-document-type-text-classifier:v23.10-05.19-rc03", + "imagePath": "du-ml-document-type-text-classifier:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/DocumentUnderstanding__46__metadata.json b/metadata/DocumentUnderstanding__46__metadata.json index 0ee83b0f..0d249202 100644 --- a/metadata/DocumentUnderstanding__46__metadata.json +++ b/metadata/DocumentUnderstanding__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__47__metadata.json b/metadata/DocumentUnderstanding__47__metadata.json index f043b28e..5fd1e7f1 100644 --- a/metadata/DocumentUnderstanding__47__metadata.json +++ b/metadata/DocumentUnderstanding__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__24__metadata.json b/metadata/EUDeclarationOfConformity__24__metadata.json index f0f8dcc6..3669f3b8 100644 --- a/metadata/EUDeclarationOfConformity__24__metadata.json +++ b/metadata/EUDeclarationOfConformity__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__25__metadata.json b/metadata/EUDeclarationOfConformity__25__metadata.json index 68df59ed..60e1de06 100644 --- a/metadata/EUDeclarationOfConformity__25__metadata.json +++ b/metadata/EUDeclarationOfConformity__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__37__metadata.json b/metadata/FM1003__37__metadata.json index abb428ef..8b0db6fd 100644 --- a/metadata/FM1003__37__metadata.json +++ b/metadata/FM1003__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__38__metadata.json b/metadata/FM1003__38__metadata.json index 3daa8830..5809f0eb 100644 --- a/metadata/FM1003__38__metadata.json +++ b/metadata/FM1003__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__35__metadata.json b/metadata/FinancialStatements__35__metadata.json index 1733e4b7..3f013747 100644 --- a/metadata/FinancialStatements__35__metadata.json +++ b/metadata/FinancialStatements__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__36__metadata.json b/metadata/FinancialStatements__36__metadata.json index 863e7689..c7c22519 100644 --- a/metadata/FinancialStatements__36__metadata.json +++ b/metadata/FinancialStatements__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__37__metadata.json b/metadata/I9__37__metadata.json index a8528d59..85a3fb0a 100644 --- a/metadata/I9__37__metadata.json +++ b/metadata/I9__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__38__metadata.json b/metadata/I9__38__metadata.json index ee05f4c3..5105d869 100644 --- a/metadata/I9__38__metadata.json +++ b/metadata/I9__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__39__metadata.json b/metadata/IDCards__39__metadata.json index 0e411ea2..6ddba1da 100644 --- a/metadata/IDCards__39__metadata.json +++ b/metadata/IDCards__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__40__metadata.json b/metadata/IDCards__40__metadata.json index c0c3c342..e72bcb19 100644 --- a/metadata/IDCards__40__metadata.json +++ b/metadata/IDCards__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__45__metadata.json b/metadata/IndianInvoices__45__metadata.json index ca5ea750..fa655813 100644 --- a/metadata/IndianInvoices__45__metadata.json +++ b/metadata/IndianInvoices__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__46__metadata.json b/metadata/IndianInvoices__46__metadata.json index 0534fa86..8c0063c2 100644 --- a/metadata/IndianInvoices__46__metadata.json +++ b/metadata/IndianInvoices__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__38__metadata.json b/metadata/InvoicesChina__38__metadata.json index 5e7d87ce..cae176ec 100644 --- a/metadata/InvoicesChina__38__metadata.json +++ b/metadata/InvoicesChina__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__39__metadata.json b/metadata/InvoicesChina__39__metadata.json index abfd81c4..8f137fa8 100644 --- a/metadata/InvoicesChina__39__metadata.json +++ b/metadata/InvoicesChina__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__5__metadata.json b/metadata/InvoicesHebrew__5__metadata.json index f2effb4b..daca44da 100644 --- a/metadata/InvoicesHebrew__5__metadata.json +++ b/metadata/InvoicesHebrew__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__24__metadata.json b/metadata/InvoicesShipping__24__metadata.json index 1e7ab7de..29a552fc 100644 --- a/metadata/InvoicesShipping__24__metadata.json +++ b/metadata/InvoicesShipping__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__25__metadata.json b/metadata/InvoicesShipping__25__metadata.json index 59d5c1a8..1e25e5d8 100644 --- a/metadata/InvoicesShipping__25__metadata.json +++ b/metadata/InvoicesShipping__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__46__metadata.json b/metadata/Invoices__46__metadata.json index 59740313..f8bb3aac 100644 --- a/metadata/Invoices__46__metadata.json +++ b/metadata/Invoices__46__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 46, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__47__metadata.json b/metadata/Invoices__47__metadata.json index 6c1999c1..28ec91cb 100644 --- a/metadata/Invoices__47__metadata.json +++ b/metadata/Invoices__47__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 47, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__43__metadata.json b/metadata/JapaneseInvoices__43__metadata.json index 456c118f..62199390 100644 --- a/metadata/JapaneseInvoices__43__metadata.json +++ b/metadata/JapaneseInvoices__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__44__metadata.json b/metadata/JapaneseInvoices__44__metadata.json index b85f5b5c..4aab8c8c 100644 --- a/metadata/JapaneseInvoices__44__metadata.json +++ b/metadata/JapaneseInvoices__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__35__metadata.json b/metadata/PackingLists__35__metadata.json index dc399a17..212846c4 100644 --- a/metadata/PackingLists__35__metadata.json +++ b/metadata/PackingLists__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__36__metadata.json b/metadata/PackingLists__36__metadata.json index d81bf83e..3bf4268a 100644 --- a/metadata/PackingLists__36__metadata.json +++ b/metadata/PackingLists__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__39__metadata.json b/metadata/Passports__39__metadata.json index f84bfe7f..1f60c668 100644 --- a/metadata/Passports__39__metadata.json +++ b/metadata/Passports__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__40__metadata.json b/metadata/Passports__40__metadata.json index fcdbf1e3..021db606 100644 --- a/metadata/Passports__40__metadata.json +++ b/metadata/Passports__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__24__metadata.json b/metadata/Payslips__24__metadata.json index 7198914a..8ee22a2f 100644 --- a/metadata/Payslips__24__metadata.json +++ b/metadata/Payslips__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__25__metadata.json b/metadata/Payslips__25__metadata.json index 8cdc5c86..cb5185c2 100644 --- a/metadata/Payslips__25__metadata.json +++ b/metadata/Payslips__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__45__metadata.json b/metadata/PurchaseOrders__45__metadata.json index 7f7eafe3..c473337d 100644 --- a/metadata/PurchaseOrders__45__metadata.json +++ b/metadata/PurchaseOrders__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__46__metadata.json b/metadata/PurchaseOrders__46__metadata.json index e7597518..8b939696 100644 --- a/metadata/PurchaseOrders__46__metadata.json +++ b/metadata/PurchaseOrders__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__46__metadata.json b/metadata/Receipts__46__metadata.json index 3435c261..ca0a48de 100644 --- a/metadata/Receipts__46__metadata.json +++ b/metadata/Receipts__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__47__metadata.json b/metadata/Receipts__47__metadata.json index c3d9b6fc..7e1216cb 100644 --- a/metadata/Receipts__47__metadata.json +++ b/metadata/Receipts__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__38__metadata.json b/metadata/RemittanceAdvices__38__metadata.json index 7c5cb3d6..15fcd953 100644 --- a/metadata/RemittanceAdvices__38__metadata.json +++ b/metadata/RemittanceAdvices__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__39__metadata.json b/metadata/RemittanceAdvices__39__metadata.json index a145ac79..6949b554 100644 --- a/metadata/RemittanceAdvices__39__metadata.json +++ b/metadata/RemittanceAdvices__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__12__metadata.json b/metadata/UB04__12__metadata.json index da873b78..fedd1fef 100644 --- a/metadata/UB04__12__metadata.json +++ b/metadata/UB04__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__13__metadata.json b/metadata/UB04__13__metadata.json index 81e3f4b1..52c52d7a 100644 --- a/metadata/UB04__13__metadata.json +++ b/metadata/UB04__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__31__metadata.json b/metadata/UiPathDocumentOCR_CPU__31__metadata.json index 0aa55997..6c1a64cb 100644 --- a/metadata/UiPathDocumentOCR_CPU__31__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__31__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 31, "customVersion": "24.10.4", - "imagePath": "du-doc-ocr-cpu:v24.10-5.15-rc03", + "imagePath": "du-doc-ocr-cpu:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR_CPU__32__metadata.json b/metadata/UiPathDocumentOCR_CPU__32__metadata.json index 07c87075..4705fceb 100644 --- a/metadata/UiPathDocumentOCR_CPU__32__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "23.10.10", - "imagePath": "du-doc-ocr-cpu:v23.10-05.19-rc03", + "imagePath": "du-doc-ocr-cpu:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/UiPathDocumentOCR__37__metadata.json b/metadata/UiPathDocumentOCR__37__metadata.json index 557088b0..bf23f253 100644 --- a/metadata/UiPathDocumentOCR__37__metadata.json +++ b/metadata/UiPathDocumentOCR__37__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-doc-ocr:v24.10-5.15-rc03", + "imagePath": "du-doc-ocr:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__38__metadata.json b/metadata/UiPathDocumentOCR__38__metadata.json index aff58bf5..78307852 100644 --- a/metadata/UiPathDocumentOCR__38__metadata.json +++ b/metadata/UiPathDocumentOCR__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-doc-ocr:v23.10-05.19-rc03", + "imagePath": "du-doc-ocr:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/UtilityBills__45__metadata.json b/metadata/UtilityBills__45__metadata.json index bdfd0a7f..302e2409 100644 --- a/metadata/UtilityBills__45__metadata.json +++ b/metadata/UtilityBills__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__46__metadata.json b/metadata/UtilityBills__46__metadata.json index 4bade0b7..2c60bca8 100644 --- a/metadata/UtilityBills__46__metadata.json +++ b/metadata/UtilityBills__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__35__metadata.json b/metadata/VehicleTitles__35__metadata.json index 9e61aa4d..43cd0e2b 100644 --- a/metadata/VehicleTitles__35__metadata.json +++ b/metadata/VehicleTitles__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__36__metadata.json b/metadata/VehicleTitles__36__metadata.json index 172901ed..c7b3c021 100644 --- a/metadata/VehicleTitles__36__metadata.json +++ b/metadata/VehicleTitles__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__38__metadata.json b/metadata/W2__38__metadata.json index d2644f09..4b3d3750 100644 --- a/metadata/W2__38__metadata.json +++ b/metadata/W2__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__39__metadata.json b/metadata/W2__39__metadata.json index 06145918..6eb640e0 100644 --- a/metadata/W2__39__metadata.json +++ b/metadata/W2__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__38__metadata.json b/metadata/W9__38__metadata.json index 202138e4..529467b0 100644 --- a/metadata/W9__38__metadata.json +++ b/metadata/W9__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.15-rc03", + "imagePath": "du-semistructured:v24.10-5.23-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__39__metadata.json b/metadata/W9__39__metadata.json index dce203ea..7ac35a65 100644 --- a/metadata/W9__39__metadata.json +++ b/metadata/W9__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.19-rc03", + "imagePath": "du-semistructured:v23.10-05.23-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 10bf99e8..f26125cf 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -15,7 +15,7 @@ $newCustomVersion = '23.10.10' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v23.10-05.19-rc03' +$newTag = 'v23.10-05.23-rc02' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 6cea7035f508672a6d9e08625341ba21aa7a7018 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Tue, 10 Jun 2025 10:11:19 +0300 Subject: [PATCH 247/267] Bump 23.10.10 img tags to v23.10-06.05-rc05 (#384) --- metadata/1040ScheduleC__13__metadata.json | 2 +- metadata/1040ScheduleD__13__metadata.json | 2 +- metadata/1040ScheduleE__13__metadata.json | 2 +- metadata/1040__36__metadata.json | 2 +- metadata/4506T__38__metadata.json | 2 +- metadata/Acord125__38__metadata.json | 2 +- metadata/Acord126__36__metadata.json | 2 +- metadata/Acord131__36__metadata.json | 2 +- metadata/Acord140__36__metadata.json | 2 +- metadata/Acord25__36__metadata.json | 2 +- metadata/BankStatements__36__metadata.json | 2 +- metadata/BillsOfLading__36__metadata.json | 2 +- metadata/CMS1500__25__metadata.json | 2 +- metadata/CertificatesOfIncorporation__25__metadata.json | 2 +- metadata/CertificatesOfOrigin__25__metadata.json | 2 +- metadata/Checks__36__metadata.json | 2 +- metadata/ChildrenProductCertificates__25__metadata.json | 2 +- metadata/DocumentClassifier__38__metadata.json | 2 +- metadata/DocumentUnderstanding__47__metadata.json | 2 +- metadata/EUDeclarationOfConformity__25__metadata.json | 2 +- metadata/FM1003__38__metadata.json | 2 +- metadata/FinancialStatements__36__metadata.json | 2 +- metadata/I9__38__metadata.json | 2 +- metadata/IDCards__40__metadata.json | 2 +- metadata/IndianInvoices__46__metadata.json | 2 +- metadata/InvoicesChina__39__metadata.json | 2 +- metadata/InvoicesShipping__25__metadata.json | 2 +- metadata/Invoices__47__metadata.json | 2 +- metadata/JapaneseInvoices__44__metadata.json | 2 +- metadata/PackingLists__36__metadata.json | 2 +- metadata/Passports__40__metadata.json | 2 +- metadata/Payslips__25__metadata.json | 2 +- metadata/PurchaseOrders__46__metadata.json | 2 +- metadata/Receipts__47__metadata.json | 2 +- metadata/RemittanceAdvices__39__metadata.json | 2 +- metadata/UB04__13__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__32__metadata.json | 2 +- metadata/UiPathDocumentOCR__38__metadata.json | 2 +- metadata/UtilityBills__46__metadata.json | 2 +- metadata/VehicleTitles__36__metadata.json | 2 +- metadata/W2__39__metadata.json | 2 +- metadata/W9__39__metadata.json | 2 +- metadata_generate_new_du_versions.ps1 | 2 +- 43 files changed, 43 insertions(+), 43 deletions(-) diff --git a/metadata/1040ScheduleC__13__metadata.json b/metadata/1040ScheduleC__13__metadata.json index 1a498d46..70d96083 100644 --- a/metadata/1040ScheduleC__13__metadata.json +++ b/metadata/1040ScheduleC__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__13__metadata.json b/metadata/1040ScheduleD__13__metadata.json index 34085f80..0a896f3e 100644 --- a/metadata/1040ScheduleD__13__metadata.json +++ b/metadata/1040ScheduleD__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__13__metadata.json b/metadata/1040ScheduleE__13__metadata.json index ced5cfae..29eebb48 100644 --- a/metadata/1040ScheduleE__13__metadata.json +++ b/metadata/1040ScheduleE__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__36__metadata.json b/metadata/1040__36__metadata.json index 6afc7d00..fb67b660 100644 --- a/metadata/1040__36__metadata.json +++ b/metadata/1040__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__38__metadata.json b/metadata/4506T__38__metadata.json index dfb1a529..d6db40ef 100644 --- a/metadata/4506T__38__metadata.json +++ b/metadata/4506T__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__38__metadata.json b/metadata/Acord125__38__metadata.json index 3cdf2b51..ce9341b9 100644 --- a/metadata/Acord125__38__metadata.json +++ b/metadata/Acord125__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__36__metadata.json b/metadata/Acord126__36__metadata.json index 38036c47..2aef4f99 100644 --- a/metadata/Acord126__36__metadata.json +++ b/metadata/Acord126__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__36__metadata.json b/metadata/Acord131__36__metadata.json index 5388970c..1c9cb05e 100644 --- a/metadata/Acord131__36__metadata.json +++ b/metadata/Acord131__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__36__metadata.json b/metadata/Acord140__36__metadata.json index 7add41a9..0f76a138 100644 --- a/metadata/Acord140__36__metadata.json +++ b/metadata/Acord140__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__36__metadata.json b/metadata/Acord25__36__metadata.json index fd00bb3e..e635c7c4 100644 --- a/metadata/Acord25__36__metadata.json +++ b/metadata/Acord25__36__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__36__metadata.json b/metadata/BankStatements__36__metadata.json index e66c49f4..2c37f9ac 100644 --- a/metadata/BankStatements__36__metadata.json +++ b/metadata/BankStatements__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__36__metadata.json b/metadata/BillsOfLading__36__metadata.json index dd42e3a0..a313c0e1 100644 --- a/metadata/BillsOfLading__36__metadata.json +++ b/metadata/BillsOfLading__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__25__metadata.json b/metadata/CMS1500__25__metadata.json index af5ff347..50fdd10b 100644 --- a/metadata/CMS1500__25__metadata.json +++ b/metadata/CMS1500__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__25__metadata.json b/metadata/CertificatesOfIncorporation__25__metadata.json index da831fdf..f3f708bd 100644 --- a/metadata/CertificatesOfIncorporation__25__metadata.json +++ b/metadata/CertificatesOfIncorporation__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__25__metadata.json b/metadata/CertificatesOfOrigin__25__metadata.json index 79402e50..f2e510ea 100644 --- a/metadata/CertificatesOfOrigin__25__metadata.json +++ b/metadata/CertificatesOfOrigin__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__36__metadata.json b/metadata/Checks__36__metadata.json index 3f738471..d46eb25e 100644 --- a/metadata/Checks__36__metadata.json +++ b/metadata/Checks__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__25__metadata.json b/metadata/ChildrenProductCertificates__25__metadata.json index 29a396e0..9009ebc6 100644 --- a/metadata/ChildrenProductCertificates__25__metadata.json +++ b/metadata/ChildrenProductCertificates__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__38__metadata.json b/metadata/DocumentClassifier__38__metadata.json index e05f9294..fd9661dd 100644 --- a/metadata/DocumentClassifier__38__metadata.json +++ b/metadata/DocumentClassifier__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-ml-document-type-text-classifier:v23.10-05.23-rc02", + "imagePath": "du-ml-document-type-text-classifier:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/DocumentUnderstanding__47__metadata.json b/metadata/DocumentUnderstanding__47__metadata.json index 5fd1e7f1..5a84ee7a 100644 --- a/metadata/DocumentUnderstanding__47__metadata.json +++ b/metadata/DocumentUnderstanding__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__25__metadata.json b/metadata/EUDeclarationOfConformity__25__metadata.json index 60e1de06..9c5e1084 100644 --- a/metadata/EUDeclarationOfConformity__25__metadata.json +++ b/metadata/EUDeclarationOfConformity__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__38__metadata.json b/metadata/FM1003__38__metadata.json index 5809f0eb..29c28efe 100644 --- a/metadata/FM1003__38__metadata.json +++ b/metadata/FM1003__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__36__metadata.json b/metadata/FinancialStatements__36__metadata.json index c7c22519..6040c661 100644 --- a/metadata/FinancialStatements__36__metadata.json +++ b/metadata/FinancialStatements__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__38__metadata.json b/metadata/I9__38__metadata.json index 5105d869..48a594ac 100644 --- a/metadata/I9__38__metadata.json +++ b/metadata/I9__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__40__metadata.json b/metadata/IDCards__40__metadata.json index e72bcb19..a856ff71 100644 --- a/metadata/IDCards__40__metadata.json +++ b/metadata/IDCards__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__46__metadata.json b/metadata/IndianInvoices__46__metadata.json index 8c0063c2..21e5222a 100644 --- a/metadata/IndianInvoices__46__metadata.json +++ b/metadata/IndianInvoices__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__39__metadata.json b/metadata/InvoicesChina__39__metadata.json index 8f137fa8..b852ce1f 100644 --- a/metadata/InvoicesChina__39__metadata.json +++ b/metadata/InvoicesChina__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__25__metadata.json b/metadata/InvoicesShipping__25__metadata.json index 1e25e5d8..74000308 100644 --- a/metadata/InvoicesShipping__25__metadata.json +++ b/metadata/InvoicesShipping__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__47__metadata.json b/metadata/Invoices__47__metadata.json index 28ec91cb..73b1c09e 100644 --- a/metadata/Invoices__47__metadata.json +++ b/metadata/Invoices__47__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 47, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__44__metadata.json b/metadata/JapaneseInvoices__44__metadata.json index 4aab8c8c..94459c67 100644 --- a/metadata/JapaneseInvoices__44__metadata.json +++ b/metadata/JapaneseInvoices__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__36__metadata.json b/metadata/PackingLists__36__metadata.json index 3bf4268a..785bf20a 100644 --- a/metadata/PackingLists__36__metadata.json +++ b/metadata/PackingLists__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__40__metadata.json b/metadata/Passports__40__metadata.json index 021db606..b8338a6f 100644 --- a/metadata/Passports__40__metadata.json +++ b/metadata/Passports__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__25__metadata.json b/metadata/Payslips__25__metadata.json index cb5185c2..e75a9a32 100644 --- a/metadata/Payslips__25__metadata.json +++ b/metadata/Payslips__25__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 25, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__46__metadata.json b/metadata/PurchaseOrders__46__metadata.json index 8b939696..3734442c 100644 --- a/metadata/PurchaseOrders__46__metadata.json +++ b/metadata/PurchaseOrders__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__47__metadata.json b/metadata/Receipts__47__metadata.json index 7e1216cb..84e13cdd 100644 --- a/metadata/Receipts__47__metadata.json +++ b/metadata/Receipts__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__39__metadata.json b/metadata/RemittanceAdvices__39__metadata.json index 6949b554..9d6ab56c 100644 --- a/metadata/RemittanceAdvices__39__metadata.json +++ b/metadata/RemittanceAdvices__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__13__metadata.json b/metadata/UB04__13__metadata.json index 52c52d7a..e23c51d4 100644 --- a/metadata/UB04__13__metadata.json +++ b/metadata/UB04__13__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 13, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__32__metadata.json b/metadata/UiPathDocumentOCR_CPU__32__metadata.json index 4705fceb..c8ce88b2 100644 --- a/metadata/UiPathDocumentOCR_CPU__32__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__32__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 32, "customVersion": "23.10.10", - "imagePath": "du-doc-ocr-cpu:v23.10-05.23-rc02", + "imagePath": "du-doc-ocr-cpu:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/UiPathDocumentOCR__38__metadata.json b/metadata/UiPathDocumentOCR__38__metadata.json index 78307852..a2d92f0e 100644 --- a/metadata/UiPathDocumentOCR__38__metadata.json +++ b/metadata/UiPathDocumentOCR__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.10", - "imagePath": "du-doc-ocr:v23.10-05.23-rc02", + "imagePath": "du-doc-ocr:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/UtilityBills__46__metadata.json b/metadata/UtilityBills__46__metadata.json index 2c60bca8..324ec132 100644 --- a/metadata/UtilityBills__46__metadata.json +++ b/metadata/UtilityBills__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__36__metadata.json b/metadata/VehicleTitles__36__metadata.json index c7b3c021..2f58ae78 100644 --- a/metadata/VehicleTitles__36__metadata.json +++ b/metadata/VehicleTitles__36__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 36, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__39__metadata.json b/metadata/W2__39__metadata.json index 6eb640e0..fe1f4531 100644 --- a/metadata/W2__39__metadata.json +++ b/metadata/W2__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__39__metadata.json b/metadata/W9__39__metadata.json index 7ac35a65..547ff462 100644 --- a/metadata/W9__39__metadata.json +++ b/metadata/W9__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "23.10.10", - "imagePath": "du-semistructured:v23.10-05.23-rc02", + "imagePath": "du-semistructured:v23.10-06.05-rc05", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index f26125cf..700b7aab 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -15,7 +15,7 @@ $newCustomVersion = '23.10.10' # Set the text to be replaced and the replacement text $targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v23.10-05.23-rc02' +$newTag = 'v23.10-06.05-rc05' # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } From 1c58bbe8a35da19d94434a8bce2e3ef052be3892 Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Thu, 12 Jun 2025 10:12:33 +0300 Subject: [PATCH 248/267] Update script for generating metadatas (#380) * Update script for generating metadatas * updating file if custom version exists * small fix * fix 2 * fix 3 * revert 24.10.4 image path for testing reasons * logging when updating img tag * fix logging * add check for existing image tag * more testing changes * more testing changes 2 * reset testing changes --- metadata_generate_new_du_versions.ps1 | 57 ++++++++++++++++++--------- 1 file changed, 39 insertions(+), 18 deletions(-) diff --git a/metadata_generate_new_du_versions.ps1 b/metadata_generate_new_du_versions.ps1 index 700b7aab..9cd0c451 100644 --- a/metadata_generate_new_du_versions.ps1 +++ b/metadata_generate_new_du_versions.ps1 @@ -1,3 +1,17 @@ +param( + [Parameter()] + [String] $targetImage = '', + + [Parameter(Mandatory)] + [String] $newCustomVersion, + + [Parameter(Mandatory)] + [String] $previousCustomVersion, + + [Parameter(Mandatory)] + [String] $newTag +) + function Remove-BomFromFile($Path) { $Content = Get-Content -Path $Path -Raw $Utf8NoBomEncoding = New-Object -TypeName System.Text.UTF8Encoding -ArgumentList $False @@ -7,15 +21,7 @@ function Remove-BomFromFile($Path) { # Define the path to the folder containing the files $folderPath = $PSScriptRoot + "/metadata" -echo $folderPath - -$previousCustomVersion = '23.10.9' -# Set the new custom version number -$newCustomVersion = '23.10.10' - -# Set the text to be replaced and the replacement text -$targetImage = '' # leave empty to generate metadata for all the models. Possible non empty values: du-semistructured, du-doc-ocr, du-doc-ocr-cpu, du-ml-document-type-text-classifier -$newTag = 'v23.10-06.05-rc05' +Write-Host "folderPath: $folderPath" # Get a list of all files in the folder that match the specified format $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$" } @@ -24,12 +30,12 @@ $fileList = Get-ChildItem $folderPath | Where-Object { $_.Name -match "^([a-zA-Z $maxModelVersions = @{} $previousFileVersion = @{} -Write-Host $fileList +Write-Host "fileList: $fileList" # Loop through each file and determine if it has a higher version number than any previously processed file for the same model foreach ($file in $fileList) { $fileName = $file.Name - Write-Host $fileName + Write-Host "Processing $fileName" $match = [regex]::Match($fileName, "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$") $model = $match.Groups[1].Value $version = [int]$match.Groups[2].Value @@ -52,21 +58,27 @@ foreach ($file in $fileList) { # Loop through each file again and create a copy of the file with the previous version number for each model foreach ($file in $fileList) { + $json = Get-Content $file.FullName | ConvertFrom-Json $fileName = $file.Name $match = [regex]::Match($fileName, "^([a-zA-Z0-9_]+)__([0-9]+)__metadata\.json$") $model = $match.Groups[1].Value $version = [int]$match.Groups[2].Value if ($version -eq $previousFileVersion[$model]) { - $newVersion = $maxModelVersions[$model] + 1 - $newFileName = "$model" + "__" + "$newVersion" + "__metadata.json" - $newFilePath = Join-Path $folderPath $newFileName - - # Read the JSON file, increment the version number, and update the custom version field - $json = Get-Content $file.FullName | ConvertFrom-Json + if ($json.customVersion -eq $newCustomVersion) { + Write-Host "Metadata with custom version $newCustomVersion exists. Updating it instead of creating a new one." + $newFilePath = $file.FullName #setting the newFilePath to the same file to update it + $newVersion = $version + $newFileName = $fileName + } else { + Write-Host "Metadata with custom version $newCustomVersion does not exist. Creating a new one." + $newVersion = $maxModelVersions[$model] + 1 + $newFileName = "$model" + "__" + "$newVersion" + "__metadata.json" + $newFilePath = Join-Path $folderPath $newFileName + } if ($json.mlPackageLanguage -like '*DU' -and $json.imagePath){ - Write-Host $model + #Write-Host "model: $model" $json.version = $newVersion $json.customVersion = $newCustomVersion @@ -74,9 +86,16 @@ foreach ($file in $fileList) { # Replace the specified text with the new text $parts = $json.imagePath -split ':' if ($targetImage -ne $null -and $targetImage -ne '' -and $targetImage -ne $parts[0]){ + Write-Host "No update needed for file $fileName because targetImage does not match imagePath: $($parts[0])" + continue + } + if ($parts[1] -eq $newTag) { + Write-Host "No update needed for file $fileName because imagePath already has the tag: $newTag" continue } + Write-Host "Updating imagePath from $($parts[1]) to: $newTag" + $json.imagePath = $parts[0] + ":" + $newTag $json | ConvertTo-Json -Depth 100 | Set-Content $newFilePath -Encoding ASCII @@ -84,6 +103,8 @@ foreach ($file in $fileList) { # Copy the file's last write time to the new file $newFile = Get-Item $newFilePath $newFile.LastWriteTime = $file.LastWriteTime + + Write-Host "newFilePath: $newFilePath" } } } \ No newline at end of file From 273697b248ee21fe060e3aef8802c731463fe2eb Mon Sep 17 00:00:00 2001 From: AdiNicuPopa <45226692+AdiNicuPopa@users.noreply.github.com> Date: Tue, 17 Jun 2025 09:58:22 +0300 Subject: [PATCH 249/267] Bump image for 24.10.4 model (#460) --- metadata/1040ScheduleC__12__metadata.json | 2 +- metadata/1040ScheduleD__12__metadata.json | 2 +- metadata/1040ScheduleE__12__metadata.json | 2 +- metadata/1040__35__metadata.json | 2 +- metadata/1040x__5__metadata.json | 2 +- metadata/3949a__5__metadata.json | 2 +- metadata/4506T__37__metadata.json | 2 +- metadata/709__5__metadata.json | 2 +- metadata/941x__5__metadata.json | 2 +- metadata/9465__5__metadata.json | 2 +- metadata/Acord125__37__metadata.json | 2 +- metadata/Acord126__35__metadata.json | 2 +- metadata/Acord131__35__metadata.json | 2 +- metadata/Acord140__35__metadata.json | 2 +- metadata/Acord25__35__metadata.json | 2 +- metadata/BankStatements__35__metadata.json | 2 +- metadata/BillsOfLading__35__metadata.json | 2 +- metadata/CMS1500__24__metadata.json | 2 +- metadata/CertificatesOfIncorporation__24__metadata.json | 2 +- metadata/CertificatesOfOrigin__24__metadata.json | 2 +- metadata/Checks__35__metadata.json | 2 +- metadata/ChildrenProductCertificates__24__metadata.json | 2 +- metadata/DocumentUnderstanding__46__metadata.json | 2 +- metadata/EUDeclarationOfConformity__24__metadata.json | 2 +- metadata/FM1003__37__metadata.json | 2 +- metadata/FinancialStatements__35__metadata.json | 2 +- metadata/I9__37__metadata.json | 2 +- metadata/IDCards__39__metadata.json | 2 +- metadata/IndianInvoices__45__metadata.json | 2 +- metadata/InvoicesChina__38__metadata.json | 2 +- metadata/InvoicesHebrew__5__metadata.json | 2 +- metadata/InvoicesShipping__24__metadata.json | 2 +- metadata/Invoices__46__metadata.json | 2 +- metadata/JapaneseInvoices__43__metadata.json | 2 +- metadata/PackingLists__35__metadata.json | 2 +- metadata/Passports__39__metadata.json | 2 +- metadata/Payslips__24__metadata.json | 2 +- metadata/PurchaseOrders__45__metadata.json | 2 +- metadata/Receipts__46__metadata.json | 2 +- metadata/RemittanceAdvices__38__metadata.json | 2 +- metadata/UB04__12__metadata.json | 2 +- metadata/UtilityBills__45__metadata.json | 2 +- metadata/VehicleTitles__35__metadata.json | 2 +- metadata/W2__38__metadata.json | 2 +- metadata/W9__38__metadata.json | 2 +- 45 files changed, 45 insertions(+), 45 deletions(-) diff --git a/metadata/1040ScheduleC__12__metadata.json b/metadata/1040ScheduleC__12__metadata.json index 68a70381..c64a88af 100644 --- a/metadata/1040ScheduleC__12__metadata.json +++ b/metadata/1040ScheduleC__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__12__metadata.json b/metadata/1040ScheduleD__12__metadata.json index 3220497a..5a3dbd0a 100644 --- a/metadata/1040ScheduleD__12__metadata.json +++ b/metadata/1040ScheduleD__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__12__metadata.json b/metadata/1040ScheduleE__12__metadata.json index 3671c8f2..b62a9c11 100644 --- a/metadata/1040ScheduleE__12__metadata.json +++ b/metadata/1040ScheduleE__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__35__metadata.json b/metadata/1040__35__metadata.json index 26259cb7..d74ab028 100644 --- a/metadata/1040__35__metadata.json +++ b/metadata/1040__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__5__metadata.json b/metadata/1040x__5__metadata.json index 8c7eaa03..8b86d0e7 100644 --- a/metadata/1040x__5__metadata.json +++ b/metadata/1040x__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__5__metadata.json b/metadata/3949a__5__metadata.json index 7ee3ee09..35b40b16 100644 --- a/metadata/3949a__5__metadata.json +++ b/metadata/3949a__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__37__metadata.json b/metadata/4506T__37__metadata.json index 67a9c8d8..f98537d0 100644 --- a/metadata/4506T__37__metadata.json +++ b/metadata/4506T__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__5__metadata.json b/metadata/709__5__metadata.json index 341650ad..85f18135 100644 --- a/metadata/709__5__metadata.json +++ b/metadata/709__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__5__metadata.json b/metadata/941x__5__metadata.json index 9ab115e7..664c92ad 100644 --- a/metadata/941x__5__metadata.json +++ b/metadata/941x__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__5__metadata.json b/metadata/9465__5__metadata.json index 99a550d6..05ea3b3e 100644 --- a/metadata/9465__5__metadata.json +++ b/metadata/9465__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__37__metadata.json b/metadata/Acord125__37__metadata.json index 5622dc1d..e3ab8775 100644 --- a/metadata/Acord125__37__metadata.json +++ b/metadata/Acord125__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__35__metadata.json b/metadata/Acord126__35__metadata.json index aeffa996..10ececa9 100644 --- a/metadata/Acord126__35__metadata.json +++ b/metadata/Acord126__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__35__metadata.json b/metadata/Acord131__35__metadata.json index 86efa4fe..016eeee5 100644 --- a/metadata/Acord131__35__metadata.json +++ b/metadata/Acord131__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__35__metadata.json b/metadata/Acord140__35__metadata.json index 005bf450..4a47ccf0 100644 --- a/metadata/Acord140__35__metadata.json +++ b/metadata/Acord140__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__35__metadata.json b/metadata/Acord25__35__metadata.json index bfed26e4..41585641 100644 --- a/metadata/Acord25__35__metadata.json +++ b/metadata/Acord25__35__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__35__metadata.json b/metadata/BankStatements__35__metadata.json index bbad01e6..9ae5ac9a 100644 --- a/metadata/BankStatements__35__metadata.json +++ b/metadata/BankStatements__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__35__metadata.json b/metadata/BillsOfLading__35__metadata.json index e98acd20..d9dc8c2a 100644 --- a/metadata/BillsOfLading__35__metadata.json +++ b/metadata/BillsOfLading__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__24__metadata.json b/metadata/CMS1500__24__metadata.json index 7a610acf..aac8009c 100644 --- a/metadata/CMS1500__24__metadata.json +++ b/metadata/CMS1500__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__24__metadata.json b/metadata/CertificatesOfIncorporation__24__metadata.json index 156b40d0..fca292ed 100644 --- a/metadata/CertificatesOfIncorporation__24__metadata.json +++ b/metadata/CertificatesOfIncorporation__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__24__metadata.json b/metadata/CertificatesOfOrigin__24__metadata.json index 38707815..e86c8899 100644 --- a/metadata/CertificatesOfOrigin__24__metadata.json +++ b/metadata/CertificatesOfOrigin__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__35__metadata.json b/metadata/Checks__35__metadata.json index fadc8881..8fa26f8f 100644 --- a/metadata/Checks__35__metadata.json +++ b/metadata/Checks__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__24__metadata.json b/metadata/ChildrenProductCertificates__24__metadata.json index d056301e..8e480454 100644 --- a/metadata/ChildrenProductCertificates__24__metadata.json +++ b/metadata/ChildrenProductCertificates__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__46__metadata.json b/metadata/DocumentUnderstanding__46__metadata.json index 0d249202..5dcfc851 100644 --- a/metadata/DocumentUnderstanding__46__metadata.json +++ b/metadata/DocumentUnderstanding__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__24__metadata.json b/metadata/EUDeclarationOfConformity__24__metadata.json index 3669f3b8..919505e9 100644 --- a/metadata/EUDeclarationOfConformity__24__metadata.json +++ b/metadata/EUDeclarationOfConformity__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__37__metadata.json b/metadata/FM1003__37__metadata.json index 8b0db6fd..cb0921be 100644 --- a/metadata/FM1003__37__metadata.json +++ b/metadata/FM1003__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__35__metadata.json b/metadata/FinancialStatements__35__metadata.json index 3f013747..ee5455bb 100644 --- a/metadata/FinancialStatements__35__metadata.json +++ b/metadata/FinancialStatements__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__37__metadata.json b/metadata/I9__37__metadata.json index 85a3fb0a..c0e8b776 100644 --- a/metadata/I9__37__metadata.json +++ b/metadata/I9__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__39__metadata.json b/metadata/IDCards__39__metadata.json index 6ddba1da..8ae06dd5 100644 --- a/metadata/IDCards__39__metadata.json +++ b/metadata/IDCards__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__45__metadata.json b/metadata/IndianInvoices__45__metadata.json index fa655813..58f6cf31 100644 --- a/metadata/IndianInvoices__45__metadata.json +++ b/metadata/IndianInvoices__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__38__metadata.json b/metadata/InvoicesChina__38__metadata.json index cae176ec..cd82359f 100644 --- a/metadata/InvoicesChina__38__metadata.json +++ b/metadata/InvoicesChina__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__5__metadata.json b/metadata/InvoicesHebrew__5__metadata.json index daca44da..8c595fb6 100644 --- a/metadata/InvoicesHebrew__5__metadata.json +++ b/metadata/InvoicesHebrew__5__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 5, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__24__metadata.json b/metadata/InvoicesShipping__24__metadata.json index 29a552fc..5c94ea5d 100644 --- a/metadata/InvoicesShipping__24__metadata.json +++ b/metadata/InvoicesShipping__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__46__metadata.json b/metadata/Invoices__46__metadata.json index f8bb3aac..2a1fbe15 100644 --- a/metadata/Invoices__46__metadata.json +++ b/metadata/Invoices__46__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 46, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__43__metadata.json b/metadata/JapaneseInvoices__43__metadata.json index 62199390..0f2248f6 100644 --- a/metadata/JapaneseInvoices__43__metadata.json +++ b/metadata/JapaneseInvoices__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__35__metadata.json b/metadata/PackingLists__35__metadata.json index 212846c4..5cd0889f 100644 --- a/metadata/PackingLists__35__metadata.json +++ b/metadata/PackingLists__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__39__metadata.json b/metadata/Passports__39__metadata.json index 1f60c668..3613d957 100644 --- a/metadata/Passports__39__metadata.json +++ b/metadata/Passports__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__24__metadata.json b/metadata/Payslips__24__metadata.json index 8ee22a2f..6a56a30b 100644 --- a/metadata/Payslips__24__metadata.json +++ b/metadata/Payslips__24__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 24, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__45__metadata.json b/metadata/PurchaseOrders__45__metadata.json index c473337d..0868c83f 100644 --- a/metadata/PurchaseOrders__45__metadata.json +++ b/metadata/PurchaseOrders__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__46__metadata.json b/metadata/Receipts__46__metadata.json index ca0a48de..95c74e2e 100644 --- a/metadata/Receipts__46__metadata.json +++ b/metadata/Receipts__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__38__metadata.json b/metadata/RemittanceAdvices__38__metadata.json index 15fcd953..c920166f 100644 --- a/metadata/RemittanceAdvices__38__metadata.json +++ b/metadata/RemittanceAdvices__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__12__metadata.json b/metadata/UB04__12__metadata.json index fedd1fef..73844987 100644 --- a/metadata/UB04__12__metadata.json +++ b/metadata/UB04__12__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 12, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__45__metadata.json b/metadata/UtilityBills__45__metadata.json index 302e2409..520c7890 100644 --- a/metadata/UtilityBills__45__metadata.json +++ b/metadata/UtilityBills__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__35__metadata.json b/metadata/VehicleTitles__35__metadata.json index 43cd0e2b..f9d200b5 100644 --- a/metadata/VehicleTitles__35__metadata.json +++ b/metadata/VehicleTitles__35__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 35, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__38__metadata.json b/metadata/W2__38__metadata.json index 4b3d3750..81cc6206 100644 --- a/metadata/W2__38__metadata.json +++ b/metadata/W2__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "24.10.4", - "imagePath": "du-semistructured:v24.10-5.23-rc03", + "imagePath": "du-semistructured:v24.10-6.16-rc04", "parametersFileJSON": 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metadata/BankStatements__38__metadata.json create mode 100644 metadata/BillsOfLading__37__metadata.json create mode 100644 metadata/BillsOfLading__38__metadata.json create mode 100644 metadata/CMS1500__26__metadata.json create mode 100644 metadata/CMS1500__27__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__26__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__27__metadata.json create mode 100644 metadata/CertificatesOfOrigin__26__metadata.json create mode 100644 metadata/CertificatesOfOrigin__27__metadata.json create mode 100644 metadata/Checks__37__metadata.json create mode 100644 metadata/Checks__38__metadata.json create mode 100644 metadata/ChildrenProductCertificates__26__metadata.json create mode 100644 metadata/ChildrenProductCertificates__27__metadata.json create mode 100644 metadata/DocumentClassifier__39__metadata.json create mode 100644 metadata/DocumentClassifier__40__metadata.json create mode 100644 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b/metadata/1040ScheduleC__14__metadata.json new file mode 100644 index 00000000..57c5fa7b --- /dev/null +++ b/metadata/1040ScheduleC__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleC__15__metadata.json b/metadata/1040ScheduleC__15__metadata.json new file mode 100644 index 00000000..5feb519f --- /dev/null +++ b/metadata/1040ScheduleC__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/1040ScheduleD__14__metadata.json b/metadata/1040ScheduleD__14__metadata.json new file mode 100644 index 00000000..65d6ce90 --- /dev/null +++ b/metadata/1040ScheduleD__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleD__15__metadata.json b/metadata/1040ScheduleD__15__metadata.json new file mode 100644 index 00000000..05807d08 --- /dev/null +++ b/metadata/1040ScheduleD__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/1040ScheduleE__14__metadata.json b/metadata/1040ScheduleE__14__metadata.json new file mode 100644 index 00000000..b1a97ce1 --- /dev/null +++ b/metadata/1040ScheduleE__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040ScheduleE__15__metadata.json b/metadata/1040ScheduleE__15__metadata.json new file mode 100644 index 00000000..ec41012f --- /dev/null +++ b/metadata/1040ScheduleE__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/1040__37__metadata.json b/metadata/1040__37__metadata.json new file mode 100644 index 00000000..8c26be70 --- /dev/null +++ b/metadata/1040__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/1040__38__metadata.json b/metadata/1040__38__metadata.json new file mode 100644 index 00000000..b7dcf071 --- /dev/null +++ b/metadata/1040__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/1040x__6__metadata.json b/metadata/1040x__6__metadata.json new file mode 100644 index 00000000..8f46af3a --- /dev/null +++ b/metadata/1040x__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040x" + } + ] +} diff --git a/metadata/3949a__6__metadata.json b/metadata/3949a__6__metadata.json new file mode 100644 index 00000000..52bdc09a --- /dev/null +++ b/metadata/3949a__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_3949a", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/4506T__39__metadata.json b/metadata/4506T__39__metadata.json new file mode 100644 index 00000000..73bcc6dd --- /dev/null +++ b/metadata/4506T__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/4506T__40__metadata.json b/metadata/4506T__40__metadata.json new file mode 100644 index 00000000..d0b59cad --- /dev/null +++ b/metadata/4506T__40__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/709__6__metadata.json b/metadata/709__6__metadata.json new file mode 100644 index 00000000..31487a51 --- /dev/null +++ b/metadata/709__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/941x__6__metadata.json b/metadata/941x__6__metadata.json new file mode 100644 index 00000000..eb52eba8 --- /dev/null +++ b/metadata/941x__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_941x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 941x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "941x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "941x" + } + ] +} diff --git a/metadata/9465__6__metadata.json b/metadata/9465__6__metadata.json new file mode 100644 index 00000000..290592b6 --- /dev/null +++ b/metadata/9465__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/Acord125__39__metadata.json b/metadata/Acord125__39__metadata.json new file mode 100644 index 00000000..581c3831 --- /dev/null +++ b/metadata/Acord125__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord125__40__metadata.json b/metadata/Acord125__40__metadata.json new file mode 100644 index 00000000..a0bd7526 --- /dev/null +++ b/metadata/Acord125__40__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord126__37__metadata.json b/metadata/Acord126__37__metadata.json new file mode 100644 index 00000000..89b54c54 --- /dev/null +++ b/metadata/Acord126__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord126__38__metadata.json b/metadata/Acord126__38__metadata.json new file mode 100644 index 00000000..e16bcc03 --- /dev/null +++ b/metadata/Acord126__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord131__37__metadata.json b/metadata/Acord131__37__metadata.json new file mode 100644 index 00000000..ca634f70 --- /dev/null +++ b/metadata/Acord131__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord131__38__metadata.json b/metadata/Acord131__38__metadata.json new file mode 100644 index 00000000..64ae8a13 --- /dev/null +++ b/metadata/Acord131__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord140__37__metadata.json b/metadata/Acord140__37__metadata.json new file mode 100644 index 00000000..8db23709 --- /dev/null +++ b/metadata/Acord140__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord140__38__metadata.json b/metadata/Acord140__38__metadata.json new file mode 100644 index 00000000..21d60025 --- /dev/null +++ b/metadata/Acord140__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Acord25__37__metadata.json b/metadata/Acord25__37__metadata.json new file mode 100644 index 00000000..bb14ae39 --- /dev/null +++ b/metadata/Acord25__37__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/Acord25__38__metadata.json b/metadata/Acord25__38__metadata.json new file mode 100644 index 00000000..8ddb8619 --- /dev/null +++ b/metadata/Acord25__38__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/BankStatements__37__metadata.json b/metadata/BankStatements__37__metadata.json new file mode 100644 index 00000000..eb090671 --- /dev/null +++ b/metadata/BankStatements__37__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BankStatements__38__metadata.json b/metadata/BankStatements__38__metadata.json new file mode 100644 index 00000000..123b8f48 --- /dev/null +++ b/metadata/BankStatements__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/BillsOfLading__37__metadata.json b/metadata/BillsOfLading__37__metadata.json new file mode 100644 index 00000000..88ff7354 --- /dev/null +++ b/metadata/BillsOfLading__37__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/BillsOfLading__38__metadata.json b/metadata/BillsOfLading__38__metadata.json new file mode 100644 index 00000000..4617e1e0 --- /dev/null +++ b/metadata/BillsOfLading__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CMS1500__26__metadata.json b/metadata/CMS1500__26__metadata.json new file mode 100644 index 00000000..deccd6d9 --- /dev/null +++ b/metadata/CMS1500__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CMS1500__27__metadata.json b/metadata/CMS1500__27__metadata.json new file mode 100644 index 00000000..fa782a87 --- /dev/null +++ b/metadata/CMS1500__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CertificatesOfIncorporation__26__metadata.json b/metadata/CertificatesOfIncorporation__26__metadata.json new file mode 100644 index 00000000..53d64fa2 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__27__metadata.json b/metadata/CertificatesOfIncorporation__27__metadata.json new file mode 100644 index 00000000..9c6be602 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/CertificatesOfOrigin__26__metadata.json b/metadata/CertificatesOfOrigin__26__metadata.json new file mode 100644 index 00000000..3f9756a3 --- /dev/null +++ b/metadata/CertificatesOfOrigin__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__27__metadata.json b/metadata/CertificatesOfOrigin__27__metadata.json new file mode 100644 index 00000000..d1341edf --- /dev/null +++ b/metadata/CertificatesOfOrigin__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Checks__37__metadata.json b/metadata/Checks__37__metadata.json new file mode 100644 index 00000000..99fe78a9 --- /dev/null +++ b/metadata/Checks__37__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/Checks__38__metadata.json b/metadata/Checks__38__metadata.json new file mode 100644 index 00000000..8a5ea3d3 --- /dev/null +++ b/metadata/Checks__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/ChildrenProductCertificates__26__metadata.json b/metadata/ChildrenProductCertificates__26__metadata.json new file mode 100644 index 00000000..0dc068d6 --- /dev/null +++ b/metadata/ChildrenProductCertificates__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__27__metadata.json b/metadata/ChildrenProductCertificates__27__metadata.json new file mode 100644 index 00000000..13ee848e --- /dev/null +++ b/metadata/ChildrenProductCertificates__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/DocumentClassifier__39__metadata.json b/metadata/DocumentClassifier__39__metadata.json new file mode 100644 index 00000000..d1d835ee --- /dev/null +++ b/metadata/DocumentClassifier__39__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.5", + "imagePath": "du-ml-document-type-text-classifier:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentClassifier__40__metadata.json b/metadata/DocumentClassifier__40__metadata.json new file mode 100644 index 00000000..ba2b4194 --- /dev/null +++ b/metadata/DocumentClassifier__40__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.11", + "imagePath": "du-ml-document-type-text-classifier:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/DocumentUnderstanding__48__metadata.json b/metadata/DocumentUnderstanding__48__metadata.json new file mode 100644 index 00000000..967977e6 --- /dev/null +++ b/metadata/DocumentUnderstanding__48__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 48, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/DocumentUnderstanding__49__metadata.json b/metadata/DocumentUnderstanding__49__metadata.json new file mode 100644 index 00000000..1085e2b4 --- /dev/null +++ b/metadata/DocumentUnderstanding__49__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 49, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/EUDeclarationOfConformity__26__metadata.json b/metadata/EUDeclarationOfConformity__26__metadata.json new file mode 100644 index 00000000..d7bb3983 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__27__metadata.json b/metadata/EUDeclarationOfConformity__27__metadata.json new file mode 100644 index 00000000..f2d766fa --- /dev/null +++ b/metadata/EUDeclarationOfConformity__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/FM1003__39__metadata.json b/metadata/FM1003__39__metadata.json new file mode 100644 index 00000000..a02d45aa --- /dev/null +++ b/metadata/FM1003__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FM1003__40__metadata.json b/metadata/FM1003__40__metadata.json new file mode 100644 index 00000000..445f0220 --- /dev/null +++ b/metadata/FM1003__40__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/FinancialStatements__37__metadata.json b/metadata/FinancialStatements__37__metadata.json new file mode 100644 index 00000000..0cf5b4ba --- /dev/null +++ b/metadata/FinancialStatements__37__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/FinancialStatements__38__metadata.json b/metadata/FinancialStatements__38__metadata.json new file mode 100644 index 00000000..e3251d14 --- /dev/null +++ b/metadata/FinancialStatements__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/I9__39__metadata.json b/metadata/I9__39__metadata.json new file mode 100644 index 00000000..eeab4aca --- /dev/null +++ b/metadata/I9__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/I9__40__metadata.json b/metadata/I9__40__metadata.json new file mode 100644 index 00000000..2cd9b2ad --- /dev/null +++ b/metadata/I9__40__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/IDCards__41__metadata.json b/metadata/IDCards__41__metadata.json new file mode 100644 index 00000000..fe8d8472 --- /dev/null +++ b/metadata/IDCards__41__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IDCards__42__metadata.json b/metadata/IDCards__42__metadata.json new file mode 100644 index 00000000..d1a3a77a --- /dev/null +++ b/metadata/IDCards__42__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/IndianInvoices__47__metadata.json b/metadata/IndianInvoices__47__metadata.json new file mode 100644 index 00000000..b9cfc33b --- /dev/null +++ b/metadata/IndianInvoices__47__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 47, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/IndianInvoices__48__metadata.json b/metadata/IndianInvoices__48__metadata.json new file mode 100644 index 00000000..9943a149 --- /dev/null +++ b/metadata/IndianInvoices__48__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 48, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/InvoicesChina__40__metadata.json b/metadata/InvoicesChina__40__metadata.json new file mode 100644 index 00000000..b4f078ef --- /dev/null +++ b/metadata/InvoicesChina__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesChina__41__metadata.json b/metadata/InvoicesChina__41__metadata.json new file mode 100644 index 00000000..dfabdbbb --- /dev/null +++ b/metadata/InvoicesChina__41__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/InvoicesHebrew__6__metadata.json b/metadata/InvoicesHebrew__6__metadata.json new file mode 100644 index 00000000..1d84dd42 --- /dev/null +++ b/metadata/InvoicesHebrew__6__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 6, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__26__metadata.json b/metadata/InvoicesShipping__26__metadata.json new file mode 100644 index 00000000..c1f471c4 --- /dev/null +++ b/metadata/InvoicesShipping__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/InvoicesShipping__27__metadata.json b/metadata/InvoicesShipping__27__metadata.json new file mode 100644 index 00000000..d2710c8f --- /dev/null +++ b/metadata/InvoicesShipping__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Invoices__48__metadata.json b/metadata/Invoices__48__metadata.json new file mode 100644 index 00000000..1e5fe4e8 --- /dev/null +++ b/metadata/Invoices__48__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 48, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/Invoices__49__metadata.json b/metadata/Invoices__49__metadata.json new file mode 100644 index 00000000..334e8e39 --- /dev/null +++ b/metadata/Invoices__49__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 49, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/JapaneseInvoices__45__metadata.json b/metadata/JapaneseInvoices__45__metadata.json new file mode 100644 index 00000000..2b29e3fb --- /dev/null +++ b/metadata/JapaneseInvoices__45__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/JapaneseInvoices__46__metadata.json b/metadata/JapaneseInvoices__46__metadata.json new file mode 100644 index 00000000..f5d55513 --- /dev/null +++ b/metadata/JapaneseInvoices__46__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 46, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/PackingLists__37__metadata.json b/metadata/PackingLists__37__metadata.json new file mode 100644 index 00000000..055626f8 --- /dev/null +++ b/metadata/PackingLists__37__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/PackingLists__38__metadata.json b/metadata/PackingLists__38__metadata.json new file mode 100644 index 00000000..02542769 --- /dev/null +++ b/metadata/PackingLists__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Passports__41__metadata.json b/metadata/Passports__41__metadata.json new file mode 100644 index 00000000..da2d8ccc --- /dev/null +++ b/metadata/Passports__41__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Passports__42__metadata.json b/metadata/Passports__42__metadata.json new file mode 100644 index 00000000..a274947b --- /dev/null +++ b/metadata/Passports__42__metadata.json @@ -0,0 +1,34 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Payslips__26__metadata.json b/metadata/Payslips__26__metadata.json new file mode 100644 index 00000000..38df4a41 --- /dev/null +++ b/metadata/Payslips__26__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 26, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/Payslips__27__metadata.json b/metadata/Payslips__27__metadata.json new file mode 100644 index 00000000..6b3f277c --- /dev/null +++ b/metadata/Payslips__27__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 27, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/PurchaseOrders__47__metadata.json b/metadata/PurchaseOrders__47__metadata.json new file mode 100644 index 00000000..0b6435d9 --- /dev/null +++ b/metadata/PurchaseOrders__47__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 47, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/PurchaseOrders__48__metadata.json b/metadata/PurchaseOrders__48__metadata.json new file mode 100644 index 00000000..3e647112 --- /dev/null +++ b/metadata/PurchaseOrders__48__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 48, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/Receipts__48__metadata.json b/metadata/Receipts__48__metadata.json new file mode 100644 index 00000000..d65fe1aa --- /dev/null +++ b/metadata/Receipts__48__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 48, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/Receipts__49__metadata.json b/metadata/Receipts__49__metadata.json new file mode 100644 index 00000000..88ccad77 --- /dev/null +++ b/metadata/Receipts__49__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 49, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/RemittanceAdvices__40__metadata.json b/metadata/RemittanceAdvices__40__metadata.json new file mode 100644 index 00000000..88886bf6 --- /dev/null +++ b/metadata/RemittanceAdvices__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/RemittanceAdvices__41__metadata.json b/metadata/RemittanceAdvices__41__metadata.json new file mode 100644 index 00000000..f6c3bf4d --- /dev/null +++ b/metadata/RemittanceAdvices__41__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UB04__14__metadata.json b/metadata/UB04__14__metadata.json new file mode 100644 index 00000000..2cfd5202 --- /dev/null +++ b/metadata/UB04__14__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 14, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UB04__15__metadata.json b/metadata/UB04__15__metadata.json new file mode 100644 index 00000000..8d04de4a --- /dev/null +++ b/metadata/UB04__15__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 15, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UiPathDocumentOCR_CPU__33__metadata.json b/metadata/UiPathDocumentOCR_CPU__33__metadata.json new file mode 100644 index 00000000..2b1afaac --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__33__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 33, + "customVersion": "24.10.5", + "imagePath": "du-doc-ocr-cpu:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR_CPU__34__metadata.json b/metadata/UiPathDocumentOCR_CPU__34__metadata.json new file mode 100644 index 00000000..ac02e451 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__34__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 34, + "customVersion": "23.10.11", + "imagePath": "du-doc-ocr-cpu:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UiPathDocumentOCR__39__metadata.json b/metadata/UiPathDocumentOCR__39__metadata.json new file mode 100644 index 00000000..ca13edce --- /dev/null +++ b/metadata/UiPathDocumentOCR__39__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "24.10.5", + "imagePath": "du-doc-ocr:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__40__metadata.json b/metadata/UiPathDocumentOCR__40__metadata.json new file mode 100644 index 00000000..d082a4a7 --- /dev/null +++ b/metadata/UiPathDocumentOCR__40__metadata.json @@ -0,0 +1,27 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "23.10.11", + "imagePath": "du-doc-ocr:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/UtilityBills__47__metadata.json b/metadata/UtilityBills__47__metadata.json new file mode 100644 index 00000000..3c400dda --- /dev/null +++ b/metadata/UtilityBills__47__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 47, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/UtilityBills__48__metadata.json b/metadata/UtilityBills__48__metadata.json new file mode 100644 index 00000000..fabe021d --- /dev/null +++ b/metadata/UtilityBills__48__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 48, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/VehicleTitles__37__metadata.json b/metadata/VehicleTitles__37__metadata.json new file mode 100644 index 00000000..945a0863 --- /dev/null +++ b/metadata/VehicleTitles__37__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/VehicleTitles__38__metadata.json b/metadata/VehicleTitles__38__metadata.json new file mode 100644 index 00000000..42f28438 --- /dev/null +++ b/metadata/VehicleTitles__38__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 38, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/W2__40__metadata.json b/metadata/W2__40__metadata.json new file mode 100644 index 00000000..5f729b9d --- /dev/null +++ b/metadata/W2__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W2__41__metadata.json b/metadata/W2__41__metadata.json new file mode 100644 index 00000000..605e11e7 --- /dev/null +++ b/metadata/W2__41__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ], + "maxAIFabricVersion": "24.10" +} diff --git a/metadata/W9__40__metadata.json b/metadata/W9__40__metadata.json new file mode 100644 index 00000000..df2b9a96 --- /dev/null +++ b/metadata/W9__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.5", + "imagePath": "du-semistructured:v24.10-8.13-rc04", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata/W9__41__metadata.json b/metadata/W9__41__metadata.json new file mode 100644 index 00000000..fc6542bb --- /dev/null +++ b/metadata/W9__41__metadata.json @@ -0,0 +1,34 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "23.10.11", + "imagePath": "du-semistructured:v23.10-08.14-rc02", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ], + "maxAIFabricVersion": "24.10" +} From 6501014ac32589ea23666527e7d6dade6d6400a9 Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Tue, 26 Aug 2025 09:29:27 +0300 Subject: [PATCH 251/267] [testing] Push models (#472) * Pushing metadatas * Pushing metadatas --------- Co-authored-by: du-app-bot --- metadata/1040ScheduleC__14__metadata.json | 2 +- metadata/1040ScheduleC__15__metadata.json | 2 +- metadata/1040ScheduleD__14__metadata.json | 2 +- metadata/1040ScheduleD__15__metadata.json | 2 +- metadata/1040ScheduleE__14__metadata.json | 2 +- metadata/1040ScheduleE__15__metadata.json | 2 +- metadata/1040__37__metadata.json | 2 +- metadata/1040__38__metadata.json | 2 +- metadata/1040x__6__metadata.json | 2 +- metadata/3949a__6__metadata.json | 2 +- metadata/4506T__39__metadata.json | 2 +- metadata/4506T__40__metadata.json | 2 +- metadata/709__6__metadata.json | 2 +- metadata/941x__6__metadata.json | 2 +- metadata/9465__6__metadata.json | 2 +- metadata/Acord125__39__metadata.json | 2 +- metadata/Acord125__40__metadata.json | 2 +- metadata/Acord126__37__metadata.json | 2 +- metadata/Acord126__38__metadata.json | 2 +- metadata/Acord131__37__metadata.json | 2 +- metadata/Acord131__38__metadata.json | 2 +- metadata/Acord140__37__metadata.json | 2 +- metadata/Acord140__38__metadata.json | 2 +- metadata/Acord25__37__metadata.json | 2 +- metadata/Acord25__38__metadata.json | 2 +- metadata/BankStatements__37__metadata.json | 2 +- metadata/BankStatements__38__metadata.json | 2 +- metadata/BillsOfLading__37__metadata.json | 2 +- metadata/BillsOfLading__38__metadata.json | 2 +- metadata/CMS1500__26__metadata.json | 2 +- metadata/CMS1500__27__metadata.json | 2 +- metadata/CertificatesOfIncorporation__26__metadata.json | 2 +- metadata/CertificatesOfIncorporation__27__metadata.json | 2 +- metadata/CertificatesOfOrigin__26__metadata.json | 2 +- metadata/CertificatesOfOrigin__27__metadata.json | 2 +- metadata/Checks__37__metadata.json | 2 +- metadata/Checks__38__metadata.json | 2 +- metadata/ChildrenProductCertificates__26__metadata.json | 2 +- metadata/ChildrenProductCertificates__27__metadata.json | 2 +- metadata/DocumentClassifier__39__metadata.json | 2 +- metadata/DocumentClassifier__40__metadata.json | 2 +- metadata/DocumentUnderstanding__48__metadata.json | 2 +- metadata/DocumentUnderstanding__49__metadata.json | 2 +- metadata/EUDeclarationOfConformity__26__metadata.json | 2 +- metadata/EUDeclarationOfConformity__27__metadata.json | 2 +- metadata/FM1003__39__metadata.json | 2 +- metadata/FM1003__40__metadata.json | 2 +- metadata/FinancialStatements__37__metadata.json | 2 +- metadata/FinancialStatements__38__metadata.json | 2 +- metadata/I9__39__metadata.json | 2 +- metadata/I9__40__metadata.json | 2 +- metadata/IDCards__41__metadata.json | 2 +- metadata/IDCards__42__metadata.json | 2 +- metadata/IndianInvoices__47__metadata.json | 2 +- metadata/IndianInvoices__48__metadata.json | 2 +- metadata/InvoicesChina__40__metadata.json | 2 +- metadata/InvoicesChina__41__metadata.json | 2 +- metadata/InvoicesHebrew__6__metadata.json | 2 +- metadata/InvoicesShipping__26__metadata.json | 2 +- metadata/InvoicesShipping__27__metadata.json | 2 +- metadata/Invoices__48__metadata.json | 2 +- metadata/Invoices__49__metadata.json | 2 +- metadata/JapaneseInvoices__45__metadata.json | 2 +- metadata/JapaneseInvoices__46__metadata.json | 2 +- metadata/PackingLists__37__metadata.json | 2 +- metadata/PackingLists__38__metadata.json | 2 +- metadata/Passports__41__metadata.json | 2 +- metadata/Passports__42__metadata.json | 2 +- metadata/Payslips__26__metadata.json | 2 +- metadata/Payslips__27__metadata.json | 2 +- metadata/PurchaseOrders__47__metadata.json | 2 +- metadata/PurchaseOrders__48__metadata.json | 2 +- metadata/Receipts__48__metadata.json | 2 +- metadata/Receipts__49__metadata.json | 2 +- metadata/RemittanceAdvices__40__metadata.json | 2 +- metadata/RemittanceAdvices__41__metadata.json | 2 +- metadata/UB04__14__metadata.json | 2 +- metadata/UB04__15__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__33__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__34__metadata.json | 2 +- metadata/UiPathDocumentOCR__39__metadata.json | 2 +- metadata/UiPathDocumentOCR__40__metadata.json | 2 +- metadata/UtilityBills__47__metadata.json | 2 +- metadata/UtilityBills__48__metadata.json | 2 +- metadata/VehicleTitles__37__metadata.json | 2 +- metadata/VehicleTitles__38__metadata.json | 2 +- metadata/W2__40__metadata.json | 2 +- metadata/W2__41__metadata.json | 2 +- metadata/W9__40__metadata.json | 2 +- metadata/W9__41__metadata.json | 2 +- 90 files changed, 90 insertions(+), 90 deletions(-) diff --git a/metadata/1040ScheduleC__14__metadata.json b/metadata/1040ScheduleC__14__metadata.json index 57c5fa7b..7ed287f4 100644 --- a/metadata/1040ScheduleC__14__metadata.json +++ b/metadata/1040ScheduleC__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleC__15__metadata.json b/metadata/1040ScheduleC__15__metadata.json index 5feb519f..a2699efd 100644 --- a/metadata/1040ScheduleC__15__metadata.json +++ b/metadata/1040ScheduleC__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__14__metadata.json b/metadata/1040ScheduleD__14__metadata.json index 65d6ce90..11096156 100644 --- a/metadata/1040ScheduleD__14__metadata.json +++ b/metadata/1040ScheduleD__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__15__metadata.json b/metadata/1040ScheduleD__15__metadata.json index 05807d08..84cc70e1 100644 --- a/metadata/1040ScheduleD__15__metadata.json +++ b/metadata/1040ScheduleD__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__14__metadata.json b/metadata/1040ScheduleE__14__metadata.json index b1a97ce1..ffb3bb6c 100644 --- a/metadata/1040ScheduleE__14__metadata.json +++ b/metadata/1040ScheduleE__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__15__metadata.json b/metadata/1040ScheduleE__15__metadata.json index ec41012f..6f1607e8 100644 --- a/metadata/1040ScheduleE__15__metadata.json +++ b/metadata/1040ScheduleE__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__37__metadata.json b/metadata/1040__37__metadata.json index 8c26be70..d8790283 100644 --- a/metadata/1040__37__metadata.json +++ b/metadata/1040__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__38__metadata.json b/metadata/1040__38__metadata.json index b7dcf071..0850b06a 100644 --- a/metadata/1040__38__metadata.json +++ b/metadata/1040__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__6__metadata.json b/metadata/1040x__6__metadata.json index 8f46af3a..11b4570b 100644 --- a/metadata/1040x__6__metadata.json +++ b/metadata/1040x__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__6__metadata.json b/metadata/3949a__6__metadata.json index 52bdc09a..1ac2721d 100644 --- a/metadata/3949a__6__metadata.json +++ b/metadata/3949a__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__39__metadata.json b/metadata/4506T__39__metadata.json index 73bcc6dd..384381d8 100644 --- a/metadata/4506T__39__metadata.json +++ b/metadata/4506T__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__40__metadata.json b/metadata/4506T__40__metadata.json index d0b59cad..b09cee63 100644 --- a/metadata/4506T__40__metadata.json +++ b/metadata/4506T__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__6__metadata.json b/metadata/709__6__metadata.json index 31487a51..7a7fa0ef 100644 --- a/metadata/709__6__metadata.json +++ b/metadata/709__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__6__metadata.json b/metadata/941x__6__metadata.json index eb52eba8..f99b62ce 100644 --- a/metadata/941x__6__metadata.json +++ b/metadata/941x__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__6__metadata.json b/metadata/9465__6__metadata.json index 290592b6..ad4ebc43 100644 --- a/metadata/9465__6__metadata.json +++ b/metadata/9465__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__39__metadata.json b/metadata/Acord125__39__metadata.json index 581c3831..d7b18bbf 100644 --- a/metadata/Acord125__39__metadata.json +++ b/metadata/Acord125__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__40__metadata.json b/metadata/Acord125__40__metadata.json index a0bd7526..08b91c54 100644 --- a/metadata/Acord125__40__metadata.json +++ b/metadata/Acord125__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__37__metadata.json b/metadata/Acord126__37__metadata.json index 89b54c54..d08b2651 100644 --- a/metadata/Acord126__37__metadata.json +++ b/metadata/Acord126__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__38__metadata.json b/metadata/Acord126__38__metadata.json index e16bcc03..9a595db6 100644 --- a/metadata/Acord126__38__metadata.json +++ b/metadata/Acord126__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__37__metadata.json b/metadata/Acord131__37__metadata.json index ca634f70..df130e90 100644 --- a/metadata/Acord131__37__metadata.json +++ b/metadata/Acord131__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__38__metadata.json b/metadata/Acord131__38__metadata.json index 64ae8a13..77751c97 100644 --- a/metadata/Acord131__38__metadata.json +++ b/metadata/Acord131__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__37__metadata.json b/metadata/Acord140__37__metadata.json index 8db23709..98564055 100644 --- a/metadata/Acord140__37__metadata.json +++ b/metadata/Acord140__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__38__metadata.json b/metadata/Acord140__38__metadata.json index 21d60025..7e3c2d39 100644 --- a/metadata/Acord140__38__metadata.json +++ b/metadata/Acord140__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__37__metadata.json b/metadata/Acord25__37__metadata.json index bb14ae39..5bdb6d1e 100644 --- a/metadata/Acord25__37__metadata.json +++ b/metadata/Acord25__37__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__38__metadata.json b/metadata/Acord25__38__metadata.json index 8ddb8619..c4e7214f 100644 --- a/metadata/Acord25__38__metadata.json +++ b/metadata/Acord25__38__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__37__metadata.json b/metadata/BankStatements__37__metadata.json index eb090671..b88b3160 100644 --- a/metadata/BankStatements__37__metadata.json +++ b/metadata/BankStatements__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__38__metadata.json b/metadata/BankStatements__38__metadata.json index 123b8f48..20a75ebb 100644 --- a/metadata/BankStatements__38__metadata.json +++ b/metadata/BankStatements__38__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__37__metadata.json b/metadata/BillsOfLading__37__metadata.json index 88ff7354..03294233 100644 --- a/metadata/BillsOfLading__37__metadata.json +++ b/metadata/BillsOfLading__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__38__metadata.json b/metadata/BillsOfLading__38__metadata.json index 4617e1e0..f329cb4b 100644 --- a/metadata/BillsOfLading__38__metadata.json +++ b/metadata/BillsOfLading__38__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__26__metadata.json b/metadata/CMS1500__26__metadata.json index deccd6d9..b9356ea4 100644 --- a/metadata/CMS1500__26__metadata.json +++ b/metadata/CMS1500__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__27__metadata.json b/metadata/CMS1500__27__metadata.json index fa782a87..bf75c1ed 100644 --- a/metadata/CMS1500__27__metadata.json +++ b/metadata/CMS1500__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__26__metadata.json b/metadata/CertificatesOfIncorporation__26__metadata.json index 53d64fa2..00a59f57 100644 --- a/metadata/CertificatesOfIncorporation__26__metadata.json +++ b/metadata/CertificatesOfIncorporation__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__27__metadata.json b/metadata/CertificatesOfIncorporation__27__metadata.json index 9c6be602..f99d4ca9 100644 --- a/metadata/CertificatesOfIncorporation__27__metadata.json +++ b/metadata/CertificatesOfIncorporation__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__26__metadata.json b/metadata/CertificatesOfOrigin__26__metadata.json index 3f9756a3..0734ada0 100644 --- a/metadata/CertificatesOfOrigin__26__metadata.json +++ b/metadata/CertificatesOfOrigin__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__27__metadata.json b/metadata/CertificatesOfOrigin__27__metadata.json index d1341edf..95369034 100644 --- a/metadata/CertificatesOfOrigin__27__metadata.json +++ b/metadata/CertificatesOfOrigin__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__37__metadata.json b/metadata/Checks__37__metadata.json index 99fe78a9..c65e980a 100644 --- a/metadata/Checks__37__metadata.json +++ b/metadata/Checks__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__38__metadata.json b/metadata/Checks__38__metadata.json index 8a5ea3d3..38a01de0 100644 --- a/metadata/Checks__38__metadata.json +++ b/metadata/Checks__38__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__26__metadata.json b/metadata/ChildrenProductCertificates__26__metadata.json index 0dc068d6..100a2713 100644 --- a/metadata/ChildrenProductCertificates__26__metadata.json +++ b/metadata/ChildrenProductCertificates__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__27__metadata.json b/metadata/ChildrenProductCertificates__27__metadata.json index 13ee848e..14db4051 100644 --- a/metadata/ChildrenProductCertificates__27__metadata.json +++ b/metadata/ChildrenProductCertificates__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__39__metadata.json b/metadata/DocumentClassifier__39__metadata.json index d1d835ee..3109a090 100644 --- a/metadata/DocumentClassifier__39__metadata.json +++ b/metadata/DocumentClassifier__39__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.5", - "imagePath": "du-ml-document-type-text-classifier:v24.10-8.13-rc04", + "imagePath": "du-ml-document-type-text-classifier:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentClassifier__40__metadata.json b/metadata/DocumentClassifier__40__metadata.json index ba2b4194..6d93992c 100644 --- a/metadata/DocumentClassifier__40__metadata.json +++ b/metadata/DocumentClassifier__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.11", - "imagePath": "du-ml-document-type-text-classifier:v23.10-08.14-rc02", + "imagePath": "du-ml-document-type-text-classifier:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/DocumentUnderstanding__48__metadata.json b/metadata/DocumentUnderstanding__48__metadata.json index 967977e6..8ced9761 100644 --- a/metadata/DocumentUnderstanding__48__metadata.json +++ b/metadata/DocumentUnderstanding__48__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 48, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentUnderstanding__49__metadata.json b/metadata/DocumentUnderstanding__49__metadata.json index 1085e2b4..09645e94 100644 --- a/metadata/DocumentUnderstanding__49__metadata.json +++ b/metadata/DocumentUnderstanding__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__26__metadata.json b/metadata/EUDeclarationOfConformity__26__metadata.json index d7bb3983..de789edd 100644 --- a/metadata/EUDeclarationOfConformity__26__metadata.json +++ b/metadata/EUDeclarationOfConformity__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__27__metadata.json b/metadata/EUDeclarationOfConformity__27__metadata.json index f2d766fa..f4cce01f 100644 --- a/metadata/EUDeclarationOfConformity__27__metadata.json +++ b/metadata/EUDeclarationOfConformity__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__39__metadata.json b/metadata/FM1003__39__metadata.json index a02d45aa..267f896e 100644 --- a/metadata/FM1003__39__metadata.json +++ b/metadata/FM1003__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__40__metadata.json b/metadata/FM1003__40__metadata.json index 445f0220..d88de86b 100644 --- a/metadata/FM1003__40__metadata.json +++ b/metadata/FM1003__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__37__metadata.json b/metadata/FinancialStatements__37__metadata.json index 0cf5b4ba..69eef757 100644 --- a/metadata/FinancialStatements__37__metadata.json +++ b/metadata/FinancialStatements__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__38__metadata.json b/metadata/FinancialStatements__38__metadata.json index e3251d14..a9c72ec0 100644 --- a/metadata/FinancialStatements__38__metadata.json +++ b/metadata/FinancialStatements__38__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__39__metadata.json b/metadata/I9__39__metadata.json index eeab4aca..8afdb0f2 100644 --- a/metadata/I9__39__metadata.json +++ b/metadata/I9__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__40__metadata.json b/metadata/I9__40__metadata.json index 2cd9b2ad..f2aac84e 100644 --- a/metadata/I9__40__metadata.json +++ b/metadata/I9__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__41__metadata.json b/metadata/IDCards__41__metadata.json index fe8d8472..81dadd99 100644 --- a/metadata/IDCards__41__metadata.json +++ b/metadata/IDCards__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__42__metadata.json b/metadata/IDCards__42__metadata.json index d1a3a77a..2cd9fae2 100644 --- a/metadata/IDCards__42__metadata.json +++ b/metadata/IDCards__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__47__metadata.json b/metadata/IndianInvoices__47__metadata.json index b9cfc33b..8b2ab353 100644 --- a/metadata/IndianInvoices__47__metadata.json +++ b/metadata/IndianInvoices__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__48__metadata.json b/metadata/IndianInvoices__48__metadata.json index 9943a149..065d576f 100644 --- a/metadata/IndianInvoices__48__metadata.json +++ b/metadata/IndianInvoices__48__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 48, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__40__metadata.json b/metadata/InvoicesChina__40__metadata.json index b4f078ef..a5740fa5 100644 --- a/metadata/InvoicesChina__40__metadata.json +++ b/metadata/InvoicesChina__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__41__metadata.json b/metadata/InvoicesChina__41__metadata.json index dfabdbbb..570d077b 100644 --- a/metadata/InvoicesChina__41__metadata.json +++ b/metadata/InvoicesChina__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__6__metadata.json b/metadata/InvoicesHebrew__6__metadata.json index 1d84dd42..e20f53a4 100644 --- a/metadata/InvoicesHebrew__6__metadata.json +++ b/metadata/InvoicesHebrew__6__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 6, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__26__metadata.json b/metadata/InvoicesShipping__26__metadata.json index c1f471c4..a40fd60d 100644 --- a/metadata/InvoicesShipping__26__metadata.json +++ b/metadata/InvoicesShipping__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__27__metadata.json b/metadata/InvoicesShipping__27__metadata.json index d2710c8f..3f6a82e4 100644 --- a/metadata/InvoicesShipping__27__metadata.json +++ b/metadata/InvoicesShipping__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__48__metadata.json b/metadata/Invoices__48__metadata.json index 1e5fe4e8..a469d00d 100644 --- a/metadata/Invoices__48__metadata.json +++ b/metadata/Invoices__48__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 48, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__49__metadata.json b/metadata/Invoices__49__metadata.json index 334e8e39..449aff5f 100644 --- a/metadata/Invoices__49__metadata.json +++ b/metadata/Invoices__49__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 49, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__45__metadata.json b/metadata/JapaneseInvoices__45__metadata.json index 2b29e3fb..ddb7b070 100644 --- a/metadata/JapaneseInvoices__45__metadata.json +++ b/metadata/JapaneseInvoices__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__46__metadata.json b/metadata/JapaneseInvoices__46__metadata.json index f5d55513..0c41c60b 100644 --- a/metadata/JapaneseInvoices__46__metadata.json +++ b/metadata/JapaneseInvoices__46__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 46, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__37__metadata.json b/metadata/PackingLists__37__metadata.json index 055626f8..233b1259 100644 --- a/metadata/PackingLists__37__metadata.json +++ b/metadata/PackingLists__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__38__metadata.json b/metadata/PackingLists__38__metadata.json index 02542769..298b30b0 100644 --- a/metadata/PackingLists__38__metadata.json +++ b/metadata/PackingLists__38__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__41__metadata.json b/metadata/Passports__41__metadata.json index da2d8ccc..f65eb463 100644 --- a/metadata/Passports__41__metadata.json +++ b/metadata/Passports__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__42__metadata.json b/metadata/Passports__42__metadata.json index a274947b..7bb71b60 100644 --- a/metadata/Passports__42__metadata.json +++ b/metadata/Passports__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__26__metadata.json b/metadata/Payslips__26__metadata.json index 38df4a41..7a09e449 100644 --- a/metadata/Payslips__26__metadata.json +++ b/metadata/Payslips__26__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 26, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__27__metadata.json b/metadata/Payslips__27__metadata.json index 6b3f277c..4e73d4e3 100644 --- a/metadata/Payslips__27__metadata.json +++ b/metadata/Payslips__27__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 27, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__47__metadata.json b/metadata/PurchaseOrders__47__metadata.json index 0b6435d9..3f66e989 100644 --- a/metadata/PurchaseOrders__47__metadata.json +++ b/metadata/PurchaseOrders__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__48__metadata.json b/metadata/PurchaseOrders__48__metadata.json index 3e647112..cc44c0c4 100644 --- a/metadata/PurchaseOrders__48__metadata.json +++ b/metadata/PurchaseOrders__48__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 48, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__48__metadata.json b/metadata/Receipts__48__metadata.json index d65fe1aa..f9cc62a6 100644 --- a/metadata/Receipts__48__metadata.json +++ b/metadata/Receipts__48__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 48, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__49__metadata.json b/metadata/Receipts__49__metadata.json index 88ccad77..a1c88a84 100644 --- a/metadata/Receipts__49__metadata.json +++ b/metadata/Receipts__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__40__metadata.json b/metadata/RemittanceAdvices__40__metadata.json index 88886bf6..38d74aed 100644 --- a/metadata/RemittanceAdvices__40__metadata.json +++ b/metadata/RemittanceAdvices__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__41__metadata.json b/metadata/RemittanceAdvices__41__metadata.json index f6c3bf4d..2cf7f9e0 100644 --- a/metadata/RemittanceAdvices__41__metadata.json +++ b/metadata/RemittanceAdvices__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__14__metadata.json b/metadata/UB04__14__metadata.json index 2cfd5202..bbd860fc 100644 --- a/metadata/UB04__14__metadata.json +++ b/metadata/UB04__14__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 14, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__15__metadata.json b/metadata/UB04__15__metadata.json index 8d04de4a..9092e98f 100644 --- a/metadata/UB04__15__metadata.json +++ b/metadata/UB04__15__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 15, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__33__metadata.json b/metadata/UiPathDocumentOCR_CPU__33__metadata.json index 2b1afaac..57bf95f5 100644 --- a/metadata/UiPathDocumentOCR_CPU__33__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__33__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 33, "customVersion": "24.10.5", - "imagePath": "du-doc-ocr-cpu:v24.10-8.13-rc04", + "imagePath": "du-doc-ocr-cpu:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR_CPU__34__metadata.json b/metadata/UiPathDocumentOCR_CPU__34__metadata.json index ac02e451..2dc7249a 100644 --- a/metadata/UiPathDocumentOCR_CPU__34__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__34__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 34, "customVersion": "23.10.11", - "imagePath": "du-doc-ocr-cpu:v23.10-08.14-rc02", + "imagePath": "du-doc-ocr-cpu:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/UiPathDocumentOCR__39__metadata.json b/metadata/UiPathDocumentOCR__39__metadata.json index ca13edce..490ddc66 100644 --- a/metadata/UiPathDocumentOCR__39__metadata.json +++ b/metadata/UiPathDocumentOCR__39__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 39, "customVersion": "24.10.5", - "imagePath": "du-doc-ocr:v24.10-8.13-rc04", + "imagePath": "du-doc-ocr:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__40__metadata.json b/metadata/UiPathDocumentOCR__40__metadata.json index d082a4a7..1a7c2c01 100644 --- a/metadata/UiPathDocumentOCR__40__metadata.json +++ b/metadata/UiPathDocumentOCR__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "23.10.11", - "imagePath": "du-doc-ocr:v23.10-08.14-rc02", + "imagePath": "du-doc-ocr:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}", "maxAIFabricVersion": "24.10" } diff --git a/metadata/UtilityBills__47__metadata.json b/metadata/UtilityBills__47__metadata.json index 3c400dda..667e84f8 100644 --- a/metadata/UtilityBills__47__metadata.json +++ b/metadata/UtilityBills__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UtilityBills__48__metadata.json b/metadata/UtilityBills__48__metadata.json index fabe021d..a4d8822d 100644 --- a/metadata/UtilityBills__48__metadata.json +++ b/metadata/UtilityBills__48__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 48, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__37__metadata.json b/metadata/VehicleTitles__37__metadata.json index 945a0863..d59916ea 100644 --- a/metadata/VehicleTitles__37__metadata.json +++ b/metadata/VehicleTitles__37__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 37, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__38__metadata.json b/metadata/VehicleTitles__38__metadata.json index 42f28438..a6a4a1b5 100644 --- a/metadata/VehicleTitles__38__metadata.json +++ b/metadata/VehicleTitles__38__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 38, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__40__metadata.json b/metadata/W2__40__metadata.json index 5f729b9d..05525e86 100644 --- a/metadata/W2__40__metadata.json +++ b/metadata/W2__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__41__metadata.json b/metadata/W2__41__metadata.json index 605e11e7..6d109ec8 100644 --- a/metadata/W2__41__metadata.json +++ b/metadata/W2__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__40__metadata.json b/metadata/W9__40__metadata.json index df2b9a96..9b4a9633 100644 --- a/metadata/W9__40__metadata.json +++ b/metadata/W9__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.5", - "imagePath": "du-semistructured:v24.10-8.13-rc04", + "imagePath": "du-semistructured:v24.10-8.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__41__metadata.json b/metadata/W9__41__metadata.json index fc6542bb..95a4e577 100644 --- a/metadata/W9__41__metadata.json +++ b/metadata/W9__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "23.10.11", - "imagePath": "du-semistructured:v23.10-08.14-rc02", + "imagePath": "du-semistructured:v23.10-08.25-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 401cdf50bc1219b14c93806d1f4f3f5b6b533985 Mon Sep 17 00:00:00 2001 From: andznui <98815714+andznui@users.noreply.github.com> Date: Wed, 3 Sep 2025 16:50:52 +0300 Subject: [PATCH 252/267] [AS] [25.10.0] Add metadata for 25.10.0 DU models (#473) --- metadata/1040ScheduleC__16__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__16__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__16__metadata.json | 33 +++++++++++++++++++ metadata/1040__39__metadata.json | 33 +++++++++++++++++++ metadata/1040x__7__metadata.json | 33 +++++++++++++++++++ metadata/3949a__7__metadata.json | 33 +++++++++++++++++++ metadata/4506T__41__metadata.json | 33 +++++++++++++++++++ metadata/709__7__metadata.json | 33 +++++++++++++++++++ metadata/941x__7__metadata.json | 33 +++++++++++++++++++ metadata/9465__7__metadata.json | 33 +++++++++++++++++++ metadata/Acord125__41__metadata.json | 33 +++++++++++++++++++ metadata/Acord126__39__metadata.json | 33 +++++++++++++++++++ metadata/Acord131__39__metadata.json | 33 +++++++++++++++++++ metadata/Acord140__39__metadata.json | 33 +++++++++++++++++++ metadata/Acord25__39__metadata.json | 33 +++++++++++++++++++ metadata/BankStatements__39__metadata.json | 32 ++++++++++++++++++ metadata/BillsOfLading__39__metadata.json | 32 ++++++++++++++++++ metadata/CMS1500__28__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__28__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__28__metadata.json | 33 +++++++++++++++++++ metadata/Checks__39__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__28__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__41__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__50__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__28__metadata.json | 33 +++++++++++++++++++ metadata/FM1003__41__metadata.json | 33 +++++++++++++++++++ .../FinancialStatements__39__metadata.json | 32 ++++++++++++++++++ metadata/I9__41__metadata.json | 33 +++++++++++++++++++ metadata/IDCards__43__metadata.json | 33 +++++++++++++++++++ metadata/IndianInvoices__49__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesChina__42__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesHebrew__7__metadata.json | 33 +++++++++++++++++++ metadata/InvoicesShipping__28__metadata.json | 33 +++++++++++++++++++ metadata/Invoices__50__metadata.json | 32 ++++++++++++++++++ metadata/JapaneseInvoices__47__metadata.json | 33 +++++++++++++++++++ metadata/PackingLists__39__metadata.json | 32 ++++++++++++++++++ metadata/Passports__43__metadata.json | 33 +++++++++++++++++++ metadata/Payslips__28__metadata.json | 33 +++++++++++++++++++ metadata/PurchaseOrders__49__metadata.json | 33 +++++++++++++++++++ metadata/Receipts__50__metadata.json | 33 +++++++++++++++++++ metadata/RemittanceAdvices__42__metadata.json | 33 +++++++++++++++++++ metadata/UB04__16__metadata.json | 33 +++++++++++++++++++ .../UiPathDocumentOCR_CPU__35__metadata.json | 26 +++++++++++++++ metadata/UiPathDocumentOCR__41__metadata.json | 26 +++++++++++++++ metadata/UtilityBills__49__metadata.json | 33 +++++++++++++++++++ metadata/VehicleTitles__39__metadata.json | 32 ++++++++++++++++++ metadata/W2__42__metadata.json | 33 +++++++++++++++++++ metadata/W9__42__metadata.json | 33 +++++++++++++++++++ 48 files changed, 1556 insertions(+) create mode 100644 metadata/1040ScheduleC__16__metadata.json create mode 100644 metadata/1040ScheduleD__16__metadata.json create mode 100644 metadata/1040ScheduleE__16__metadata.json create mode 100644 metadata/1040__39__metadata.json create mode 100644 metadata/1040x__7__metadata.json create mode 100644 metadata/3949a__7__metadata.json create mode 100644 metadata/4506T__41__metadata.json create mode 100644 metadata/709__7__metadata.json create mode 100644 metadata/941x__7__metadata.json create mode 100644 metadata/9465__7__metadata.json create mode 100644 metadata/Acord125__41__metadata.json create mode 100644 metadata/Acord126__39__metadata.json create mode 100644 metadata/Acord131__39__metadata.json create mode 100644 metadata/Acord140__39__metadata.json create mode 100644 metadata/Acord25__39__metadata.json create mode 100644 metadata/BankStatements__39__metadata.json create mode 100644 metadata/BillsOfLading__39__metadata.json create mode 100644 metadata/CMS1500__28__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__28__metadata.json create mode 100644 metadata/CertificatesOfOrigin__28__metadata.json create mode 100644 metadata/Checks__39__metadata.json create mode 100644 metadata/ChildrenProductCertificates__28__metadata.json create mode 100644 metadata/DocumentClassifier__41__metadata.json create mode 100644 metadata/DocumentUnderstanding__50__metadata.json create mode 100644 metadata/EUDeclarationOfConformity__28__metadata.json create mode 100644 metadata/FM1003__41__metadata.json create mode 100644 metadata/FinancialStatements__39__metadata.json create mode 100644 metadata/I9__41__metadata.json create mode 100644 metadata/IDCards__43__metadata.json create mode 100644 metadata/IndianInvoices__49__metadata.json create mode 100644 metadata/InvoicesChina__42__metadata.json create mode 100644 metadata/InvoicesHebrew__7__metadata.json create mode 100644 metadata/InvoicesShipping__28__metadata.json create mode 100644 metadata/Invoices__50__metadata.json create mode 100644 metadata/JapaneseInvoices__47__metadata.json create mode 100644 metadata/PackingLists__39__metadata.json create mode 100644 metadata/Passports__43__metadata.json create mode 100644 metadata/Payslips__28__metadata.json create mode 100644 metadata/PurchaseOrders__49__metadata.json create mode 100644 metadata/Receipts__50__metadata.json create mode 100644 metadata/RemittanceAdvices__42__metadata.json create mode 100644 metadata/UB04__16__metadata.json create mode 100644 metadata/UiPathDocumentOCR_CPU__35__metadata.json create mode 100644 metadata/UiPathDocumentOCR__41__metadata.json create mode 100644 metadata/UtilityBills__49__metadata.json create mode 100644 metadata/VehicleTitles__39__metadata.json create mode 100644 metadata/W2__42__metadata.json create mode 100644 metadata/W9__42__metadata.json diff --git a/metadata/1040ScheduleC__16__metadata.json b/metadata/1040ScheduleC__16__metadata.json new file mode 100644 index 00000000..723c45a4 --- /dev/null +++ b/metadata/1040ScheduleC__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__16__metadata.json b/metadata/1040ScheduleD__16__metadata.json new file mode 100644 index 00000000..a38786a3 --- /dev/null +++ b/metadata/1040ScheduleD__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__16__metadata.json b/metadata/1040ScheduleE__16__metadata.json new file mode 100644 index 00000000..e8a45e5f --- /dev/null +++ b/metadata/1040ScheduleE__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__39__metadata.json b/metadata/1040__39__metadata.json new file mode 100644 index 00000000..9435f84d --- /dev/null +++ b/metadata/1040__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/4506T__41__metadata.json b/metadata/4506T__41__metadata.json new file mode 100644 index 00000000..4066a99b --- /dev/null +++ b/metadata/4506T__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__39__metadata.json b/metadata/Acord25__39__metadata.json new file mode 100644 index 00000000..e5e02e88 --- /dev/null +++ b/metadata/Acord25__39__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__39__metadata.json b/metadata/BankStatements__39__metadata.json new file mode 100644 index 00000000..6eb39c68 --- /dev/null +++ b/metadata/BankStatements__39__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__39__metadata.json b/metadata/BillsOfLading__39__metadata.json new file mode 100644 index 00000000..1e2ffd44 --- /dev/null +++ b/metadata/BillsOfLading__39__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__28__metadata.json b/metadata/CMS1500__28__metadata.json new file mode 100644 index 00000000..f40da9eb --- /dev/null +++ b/metadata/CMS1500__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__28__metadata.json b/metadata/CertificatesOfIncorporation__28__metadata.json new file mode 100644 index 00000000..8eb37af2 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__28__metadata.json b/metadata/CertificatesOfOrigin__28__metadata.json new file mode 100644 index 00000000..cb24601a --- /dev/null +++ b/metadata/CertificatesOfOrigin__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__39__metadata.json b/metadata/Checks__39__metadata.json new file mode 100644 index 00000000..6df662cd --- /dev/null +++ b/metadata/Checks__39__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__28__metadata.json b/metadata/ChildrenProductCertificates__28__metadata.json new file mode 100644 index 00000000..b713b627 --- /dev/null +++ b/metadata/ChildrenProductCertificates__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__41__metadata.json b/metadata/DocumentClassifier__41__metadata.json new file mode 100644 index 00000000..9b8e21e6 --- /dev/null +++ b/metadata/DocumentClassifier__41__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.0", + "imagePath": "du-ml-document-type-text-classifier:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__50__metadata.json b/metadata/DocumentUnderstanding__50__metadata.json new file mode 100644 index 00000000..b892625c --- /dev/null +++ b/metadata/DocumentUnderstanding__50__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 50, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__28__metadata.json b/metadata/EUDeclarationOfConformity__28__metadata.json new file mode 100644 index 00000000..a43101e7 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__41__metadata.json b/metadata/FM1003__41__metadata.json new file mode 100644 index 00000000..febe3788 --- /dev/null +++ b/metadata/FM1003__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__39__metadata.json b/metadata/FinancialStatements__39__metadata.json new file mode 100644 index 00000000..c0239bd0 --- /dev/null +++ b/metadata/FinancialStatements__39__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__41__metadata.json b/metadata/I9__41__metadata.json new file mode 100644 index 00000000..7ab129c3 --- /dev/null +++ b/metadata/I9__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__43__metadata.json b/metadata/IDCards__43__metadata.json new file mode 100644 index 00000000..c87a3a81 --- /dev/null +++ b/metadata/IDCards__43__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__49__metadata.json b/metadata/IndianInvoices__49__metadata.json new file mode 100644 index 00000000..c6be68d0 --- /dev/null +++ b/metadata/IndianInvoices__49__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 49, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__42__metadata.json b/metadata/InvoicesChina__42__metadata.json new file mode 100644 index 00000000..392efdd9 --- /dev/null +++ b/metadata/InvoicesChina__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesHebrew__7__metadata.json b/metadata/InvoicesHebrew__7__metadata.json new file mode 100644 index 00000000..2586fe8f --- /dev/null +++ b/metadata/InvoicesHebrew__7__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 7, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__28__metadata.json b/metadata/InvoicesShipping__28__metadata.json new file mode 100644 index 00000000..782465f9 --- /dev/null +++ b/metadata/InvoicesShipping__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__50__metadata.json b/metadata/Invoices__50__metadata.json new file mode 100644 index 00000000..e793392e --- /dev/null +++ b/metadata/Invoices__50__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 50, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__47__metadata.json b/metadata/JapaneseInvoices__47__metadata.json new file mode 100644 index 00000000..77a0abc7 --- /dev/null +++ b/metadata/JapaneseInvoices__47__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 47, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__39__metadata.json b/metadata/PackingLists__39__metadata.json new file mode 100644 index 00000000..c132ae79 --- /dev/null +++ b/metadata/PackingLists__39__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__43__metadata.json b/metadata/Passports__43__metadata.json new file mode 100644 index 00000000..8c6443d9 --- /dev/null +++ b/metadata/Passports__43__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__28__metadata.json b/metadata/Payslips__28__metadata.json new file mode 100644 index 00000000..64f71e85 --- /dev/null +++ b/metadata/Payslips__28__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 28, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__49__metadata.json b/metadata/PurchaseOrders__49__metadata.json new file mode 100644 index 00000000..c0f55d58 --- /dev/null +++ b/metadata/PurchaseOrders__49__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 49, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__50__metadata.json b/metadata/Receipts__50__metadata.json new file mode 100644 index 00000000..c3146006 --- /dev/null +++ b/metadata/Receipts__50__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 50, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__42__metadata.json b/metadata/RemittanceAdvices__42__metadata.json new file mode 100644 index 00000000..cae8877e --- /dev/null +++ b/metadata/RemittanceAdvices__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__16__metadata.json b/metadata/UB04__16__metadata.json new file mode 100644 index 00000000..5e589fea --- /dev/null +++ b/metadata/UB04__16__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 16, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__35__metadata.json b/metadata/UiPathDocumentOCR_CPU__35__metadata.json new file mode 100644 index 00000000..8ff92c62 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__35__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 35, + "customVersion": "25.10.0", + "imagePath": "du-doc-ocr-cpu:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__41__metadata.json b/metadata/UiPathDocumentOCR__41__metadata.json new file mode 100644 index 00000000..d6b3bcbc --- /dev/null +++ b/metadata/UiPathDocumentOCR__41__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.0", + "imagePath": "du-doc-ocr:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__49__metadata.json b/metadata/UtilityBills__49__metadata.json new file mode 100644 index 00000000..fc01b0c5 --- /dev/null +++ b/metadata/UtilityBills__49__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 49, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__39__metadata.json b/metadata/VehicleTitles__39__metadata.json new file mode 100644 index 00000000..873be319 --- /dev/null +++ b/metadata/VehicleTitles__39__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 39, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__42__metadata.json b/metadata/W2__42__metadata.json new file mode 100644 index 00000000..25ead15f --- /dev/null +++ b/metadata/W2__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__42__metadata.json b/metadata/W9__42__metadata.json new file mode 100644 index 00000000..8035e087 --- /dev/null +++ b/metadata/W9__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "25.10.0", + "imagePath": "du-semistructured:v25.7-7.28-rc01", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From f75e6f2e05d4d9de9d2b12486057b33932c60640 Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Mon, 8 Sep 2025 11:29:44 +0300 Subject: [PATCH 253/267] Pushing metadatas (#474) Co-authored-by: du-app-bot --- metadata/1040ScheduleC__16__metadata.json | 2 +- metadata/1040ScheduleD__16__metadata.json | 2 +- metadata/1040ScheduleE__16__metadata.json | 2 +- metadata/1040__39__metadata.json | 2 +- metadata/1040x__7__metadata.json | 2 +- metadata/3949a__7__metadata.json | 2 +- metadata/4506T__41__metadata.json | 2 +- metadata/709__7__metadata.json | 2 +- metadata/941x__7__metadata.json | 2 +- metadata/9465__7__metadata.json | 2 +- metadata/Acord125__41__metadata.json | 2 +- metadata/Acord126__39__metadata.json | 2 +- metadata/Acord131__39__metadata.json | 2 +- metadata/Acord140__39__metadata.json | 2 +- metadata/Acord25__39__metadata.json | 2 +- metadata/BankStatements__39__metadata.json | 2 +- metadata/BillsOfLading__39__metadata.json | 2 +- metadata/CMS1500__28__metadata.json | 2 +- metadata/CertificatesOfIncorporation__28__metadata.json | 2 +- metadata/CertificatesOfOrigin__28__metadata.json | 2 +- metadata/Checks__39__metadata.json | 2 +- metadata/ChildrenProductCertificates__28__metadata.json | 2 +- metadata/DocumentClassifier__41__metadata.json | 2 +- metadata/DocumentUnderstanding__50__metadata.json | 2 +- metadata/EUDeclarationOfConformity__28__metadata.json | 2 +- metadata/FM1003__41__metadata.json | 2 +- metadata/FinancialStatements__39__metadata.json | 2 +- metadata/I9__41__metadata.json | 2 +- metadata/IDCards__43__metadata.json | 2 +- metadata/IndianInvoices__49__metadata.json | 2 +- metadata/InvoicesChina__42__metadata.json | 2 +- metadata/InvoicesHebrew__7__metadata.json | 2 +- metadata/InvoicesShipping__28__metadata.json | 2 +- metadata/Invoices__50__metadata.json | 2 +- metadata/JapaneseInvoices__47__metadata.json | 2 +- metadata/PackingLists__39__metadata.json | 2 +- metadata/Passports__43__metadata.json | 2 +- metadata/Payslips__28__metadata.json | 2 +- metadata/PurchaseOrders__49__metadata.json | 2 +- metadata/Receipts__50__metadata.json | 2 +- metadata/RemittanceAdvices__42__metadata.json | 2 +- metadata/UB04__16__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__35__metadata.json | 2 +- metadata/UiPathDocumentOCR__41__metadata.json | 2 +- metadata/UtilityBills__49__metadata.json | 2 +- metadata/VehicleTitles__39__metadata.json | 2 +- metadata/W2__42__metadata.json | 2 +- metadata/W9__42__metadata.json | 2 +- 48 files changed, 48 insertions(+), 48 deletions(-) diff --git a/metadata/1040ScheduleC__16__metadata.json b/metadata/1040ScheduleC__16__metadata.json index 723c45a4..d64e2831 100644 --- a/metadata/1040ScheduleC__16__metadata.json +++ b/metadata/1040ScheduleC__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__16__metadata.json b/metadata/1040ScheduleD__16__metadata.json index a38786a3..ef35e2ce 100644 --- a/metadata/1040ScheduleD__16__metadata.json +++ b/metadata/1040ScheduleD__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__16__metadata.json b/metadata/1040ScheduleE__16__metadata.json index e8a45e5f..7d0c26ac 100644 --- a/metadata/1040ScheduleE__16__metadata.json +++ b/metadata/1040ScheduleE__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__39__metadata.json b/metadata/1040__39__metadata.json index 9435f84d..ddb48677 100644 --- a/metadata/1040__39__metadata.json +++ b/metadata/1040__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__7__metadata.json b/metadata/1040x__7__metadata.json index e7ba5461..acd1fa66 100644 --- a/metadata/1040x__7__metadata.json +++ b/metadata/1040x__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__7__metadata.json b/metadata/3949a__7__metadata.json index c014441a..d99b70ad 100644 --- a/metadata/3949a__7__metadata.json +++ b/metadata/3949a__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__41__metadata.json b/metadata/4506T__41__metadata.json index 4066a99b..1e132cc7 100644 --- a/metadata/4506T__41__metadata.json +++ b/metadata/4506T__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__7__metadata.json b/metadata/709__7__metadata.json index e557fae7..609efd80 100644 --- a/metadata/709__7__metadata.json +++ b/metadata/709__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__7__metadata.json b/metadata/941x__7__metadata.json index 6596f21f..a8f361ab 100644 --- a/metadata/941x__7__metadata.json +++ b/metadata/941x__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__7__metadata.json b/metadata/9465__7__metadata.json index ac5c8d21..060b03aa 100644 --- a/metadata/9465__7__metadata.json +++ b/metadata/9465__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__41__metadata.json b/metadata/Acord125__41__metadata.json index bb676105..1712df16 100644 --- a/metadata/Acord125__41__metadata.json +++ b/metadata/Acord125__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__39__metadata.json b/metadata/Acord126__39__metadata.json index 663d48ce..3f335f79 100644 --- a/metadata/Acord126__39__metadata.json +++ b/metadata/Acord126__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__39__metadata.json b/metadata/Acord131__39__metadata.json index 34e30a52..938620d9 100644 --- a/metadata/Acord131__39__metadata.json +++ b/metadata/Acord131__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__39__metadata.json b/metadata/Acord140__39__metadata.json index af0889e2..6af212cd 100644 --- a/metadata/Acord140__39__metadata.json +++ b/metadata/Acord140__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__39__metadata.json b/metadata/Acord25__39__metadata.json index e5e02e88..0a7cf8c6 100644 --- a/metadata/Acord25__39__metadata.json +++ b/metadata/Acord25__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__39__metadata.json b/metadata/BankStatements__39__metadata.json index 6eb39c68..e810820f 100644 --- a/metadata/BankStatements__39__metadata.json +++ b/metadata/BankStatements__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__39__metadata.json b/metadata/BillsOfLading__39__metadata.json index 1e2ffd44..d2a4cd69 100644 --- a/metadata/BillsOfLading__39__metadata.json +++ b/metadata/BillsOfLading__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__28__metadata.json b/metadata/CMS1500__28__metadata.json index f40da9eb..09a5358c 100644 --- a/metadata/CMS1500__28__metadata.json +++ b/metadata/CMS1500__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__28__metadata.json b/metadata/CertificatesOfIncorporation__28__metadata.json index 8eb37af2..0278e57d 100644 --- a/metadata/CertificatesOfIncorporation__28__metadata.json +++ b/metadata/CertificatesOfIncorporation__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__28__metadata.json b/metadata/CertificatesOfOrigin__28__metadata.json index cb24601a..7b67bf88 100644 --- a/metadata/CertificatesOfOrigin__28__metadata.json +++ b/metadata/CertificatesOfOrigin__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__39__metadata.json b/metadata/Checks__39__metadata.json index 6df662cd..9b297d2e 100644 --- a/metadata/Checks__39__metadata.json +++ b/metadata/Checks__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__28__metadata.json b/metadata/ChildrenProductCertificates__28__metadata.json index b713b627..f34ef5af 100644 --- a/metadata/ChildrenProductCertificates__28__metadata.json +++ b/metadata/ChildrenProductCertificates__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__41__metadata.json b/metadata/DocumentClassifier__41__metadata.json index 9b8e21e6..85c82c4d 100644 --- a/metadata/DocumentClassifier__41__metadata.json +++ b/metadata/DocumentClassifier__41__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-ml-document-type-text-classifier:v25.7-7.28-rc01", + "imagePath": "du-ml-document-type-text-classifier:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__50__metadata.json b/metadata/DocumentUnderstanding__50__metadata.json index b892625c..f5d08818 100644 --- a/metadata/DocumentUnderstanding__50__metadata.json +++ b/metadata/DocumentUnderstanding__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__28__metadata.json b/metadata/EUDeclarationOfConformity__28__metadata.json index a43101e7..0318e517 100644 --- a/metadata/EUDeclarationOfConformity__28__metadata.json +++ b/metadata/EUDeclarationOfConformity__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__41__metadata.json b/metadata/FM1003__41__metadata.json index febe3788..6843e72c 100644 --- a/metadata/FM1003__41__metadata.json +++ b/metadata/FM1003__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__39__metadata.json b/metadata/FinancialStatements__39__metadata.json index c0239bd0..1efddeb4 100644 --- a/metadata/FinancialStatements__39__metadata.json +++ b/metadata/FinancialStatements__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__41__metadata.json b/metadata/I9__41__metadata.json index 7ab129c3..6e9e99a1 100644 --- a/metadata/I9__41__metadata.json +++ b/metadata/I9__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__43__metadata.json b/metadata/IDCards__43__metadata.json index c87a3a81..a53cbc43 100644 --- a/metadata/IDCards__43__metadata.json +++ b/metadata/IDCards__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__49__metadata.json b/metadata/IndianInvoices__49__metadata.json index c6be68d0..09abe237 100644 --- a/metadata/IndianInvoices__49__metadata.json +++ b/metadata/IndianInvoices__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__42__metadata.json b/metadata/InvoicesChina__42__metadata.json index 392efdd9..6b52d6cd 100644 --- a/metadata/InvoicesChina__42__metadata.json +++ b/metadata/InvoicesChina__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__7__metadata.json b/metadata/InvoicesHebrew__7__metadata.json index 2586fe8f..af03595f 100644 --- a/metadata/InvoicesHebrew__7__metadata.json +++ b/metadata/InvoicesHebrew__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__28__metadata.json b/metadata/InvoicesShipping__28__metadata.json index 782465f9..448fe3d2 100644 --- a/metadata/InvoicesShipping__28__metadata.json +++ b/metadata/InvoicesShipping__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__50__metadata.json b/metadata/Invoices__50__metadata.json index e793392e..96e18f02 100644 --- a/metadata/Invoices__50__metadata.json +++ b/metadata/Invoices__50__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__47__metadata.json b/metadata/JapaneseInvoices__47__metadata.json index 77a0abc7..92c6b4dc 100644 --- a/metadata/JapaneseInvoices__47__metadata.json +++ b/metadata/JapaneseInvoices__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__39__metadata.json b/metadata/PackingLists__39__metadata.json index c132ae79..6e4eddc4 100644 --- a/metadata/PackingLists__39__metadata.json +++ b/metadata/PackingLists__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__43__metadata.json b/metadata/Passports__43__metadata.json index 8c6443d9..89721bdb 100644 --- a/metadata/Passports__43__metadata.json +++ b/metadata/Passports__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__28__metadata.json b/metadata/Payslips__28__metadata.json index 64f71e85..bfe4ee59 100644 --- a/metadata/Payslips__28__metadata.json +++ b/metadata/Payslips__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__49__metadata.json b/metadata/PurchaseOrders__49__metadata.json index c0f55d58..00373a7e 100644 --- a/metadata/PurchaseOrders__49__metadata.json +++ b/metadata/PurchaseOrders__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__50__metadata.json b/metadata/Receipts__50__metadata.json index c3146006..dd3428a0 100644 --- a/metadata/Receipts__50__metadata.json +++ b/metadata/Receipts__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__42__metadata.json b/metadata/RemittanceAdvices__42__metadata.json index cae8877e..602b75ec 100644 --- a/metadata/RemittanceAdvices__42__metadata.json +++ b/metadata/RemittanceAdvices__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__16__metadata.json b/metadata/UB04__16__metadata.json index 5e589fea..05f22a19 100644 --- a/metadata/UB04__16__metadata.json +++ b/metadata/UB04__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__35__metadata.json b/metadata/UiPathDocumentOCR_CPU__35__metadata.json index 8ff92c62..89bc403d 100644 --- a/metadata/UiPathDocumentOCR_CPU__35__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__35__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 35, "customVersion": "25.10.0", - "imagePath": "du-doc-ocr-cpu:v25.7-7.28-rc01", + "imagePath": "du-doc-ocr-cpu:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__41__metadata.json b/metadata/UiPathDocumentOCR__41__metadata.json index d6b3bcbc..68cb5da9 100644 --- a/metadata/UiPathDocumentOCR__41__metadata.json +++ b/metadata/UiPathDocumentOCR__41__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-doc-ocr:v25.7-7.28-rc01", + "imagePath": "du-doc-ocr:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__49__metadata.json b/metadata/UtilityBills__49__metadata.json index fc01b0c5..ed14f647 100644 --- a/metadata/UtilityBills__49__metadata.json +++ b/metadata/UtilityBills__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__39__metadata.json b/metadata/VehicleTitles__39__metadata.json index 873be319..270089a7 100644 --- a/metadata/VehicleTitles__39__metadata.json +++ b/metadata/VehicleTitles__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__42__metadata.json b/metadata/W2__42__metadata.json index 25ead15f..6c62953b 100644 --- a/metadata/W2__42__metadata.json +++ b/metadata/W2__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__42__metadata.json b/metadata/W9__42__metadata.json index 8035e087..3d2a900d 100644 --- a/metadata/W9__42__metadata.json +++ b/metadata/W9__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.7-7.28-rc01", + "imagePath": "du-semistructured:v25.10-9.04-rc03", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From d4673b3309f02db06d0899361ba6bb7afac46ae6 Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Wed, 17 Sep 2025 11:57:15 +0300 Subject: [PATCH 254/267] Pushing metadatas (#476) Co-authored-by: du-app-bot --- metadata/1040ScheduleC__16__metadata.json | 2 +- metadata/1040ScheduleD__16__metadata.json | 2 +- metadata/1040ScheduleE__16__metadata.json | 2 +- metadata/1040__39__metadata.json | 2 +- metadata/1040x__7__metadata.json | 2 +- metadata/3949a__7__metadata.json | 2 +- metadata/4506T__41__metadata.json | 2 +- metadata/709__7__metadata.json | 2 +- metadata/941x__7__metadata.json | 2 +- metadata/9465__7__metadata.json | 2 +- metadata/Acord125__41__metadata.json | 2 +- metadata/Acord126__39__metadata.json | 2 +- metadata/Acord131__39__metadata.json | 2 +- metadata/Acord140__39__metadata.json | 2 +- metadata/Acord25__39__metadata.json | 2 +- metadata/BankStatements__39__metadata.json | 2 +- metadata/BillsOfLading__39__metadata.json | 2 +- metadata/CMS1500__28__metadata.json | 2 +- metadata/CertificatesOfIncorporation__28__metadata.json | 2 +- metadata/CertificatesOfOrigin__28__metadata.json | 2 +- metadata/Checks__39__metadata.json | 2 +- metadata/ChildrenProductCertificates__28__metadata.json | 2 +- metadata/DocumentClassifier__41__metadata.json | 2 +- metadata/DocumentUnderstanding__50__metadata.json | 2 +- metadata/EUDeclarationOfConformity__28__metadata.json | 2 +- metadata/FM1003__41__metadata.json | 2 +- metadata/FinancialStatements__39__metadata.json | 2 +- metadata/I9__41__metadata.json | 2 +- metadata/IDCards__43__metadata.json | 2 +- metadata/IndianInvoices__49__metadata.json | 2 +- metadata/InvoicesChina__42__metadata.json | 2 +- metadata/InvoicesHebrew__7__metadata.json | 2 +- metadata/InvoicesShipping__28__metadata.json | 2 +- metadata/Invoices__50__metadata.json | 2 +- metadata/JapaneseInvoices__47__metadata.json | 2 +- metadata/PackingLists__39__metadata.json | 2 +- metadata/Passports__43__metadata.json | 2 +- metadata/Payslips__28__metadata.json | 2 +- metadata/PurchaseOrders__49__metadata.json | 2 +- metadata/Receipts__50__metadata.json | 2 +- metadata/RemittanceAdvices__42__metadata.json | 2 +- metadata/UB04__16__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__35__metadata.json | 2 +- metadata/UiPathDocumentOCR__41__metadata.json | 2 +- metadata/UtilityBills__49__metadata.json | 2 +- metadata/VehicleTitles__39__metadata.json | 2 +- metadata/W2__42__metadata.json | 2 +- metadata/W9__42__metadata.json | 2 +- 48 files changed, 48 insertions(+), 48 deletions(-) diff --git a/metadata/1040ScheduleC__16__metadata.json b/metadata/1040ScheduleC__16__metadata.json index d64e2831..e98a846e 100644 --- a/metadata/1040ScheduleC__16__metadata.json +++ b/metadata/1040ScheduleC__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__16__metadata.json b/metadata/1040ScheduleD__16__metadata.json index ef35e2ce..fbe222cd 100644 --- a/metadata/1040ScheduleD__16__metadata.json +++ b/metadata/1040ScheduleD__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__16__metadata.json b/metadata/1040ScheduleE__16__metadata.json index 7d0c26ac..c7e9c72e 100644 --- a/metadata/1040ScheduleE__16__metadata.json +++ b/metadata/1040ScheduleE__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__39__metadata.json b/metadata/1040__39__metadata.json index ddb48677..b757a62b 100644 --- a/metadata/1040__39__metadata.json +++ b/metadata/1040__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__7__metadata.json b/metadata/1040x__7__metadata.json index acd1fa66..121a1ecd 100644 --- a/metadata/1040x__7__metadata.json +++ b/metadata/1040x__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__7__metadata.json b/metadata/3949a__7__metadata.json index d99b70ad..f44e56ff 100644 --- a/metadata/3949a__7__metadata.json +++ b/metadata/3949a__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__41__metadata.json b/metadata/4506T__41__metadata.json index 1e132cc7..237678a4 100644 --- a/metadata/4506T__41__metadata.json +++ b/metadata/4506T__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__7__metadata.json b/metadata/709__7__metadata.json index 609efd80..f86cec4c 100644 --- a/metadata/709__7__metadata.json +++ b/metadata/709__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__7__metadata.json b/metadata/941x__7__metadata.json index a8f361ab..09fe2f5d 100644 --- a/metadata/941x__7__metadata.json +++ b/metadata/941x__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__7__metadata.json b/metadata/9465__7__metadata.json index 060b03aa..5f1b4f2f 100644 --- a/metadata/9465__7__metadata.json +++ b/metadata/9465__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__41__metadata.json b/metadata/Acord125__41__metadata.json index 1712df16..07d4eedb 100644 --- a/metadata/Acord125__41__metadata.json +++ b/metadata/Acord125__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__39__metadata.json b/metadata/Acord126__39__metadata.json index 3f335f79..7158b7cc 100644 --- a/metadata/Acord126__39__metadata.json +++ b/metadata/Acord126__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__39__metadata.json b/metadata/Acord131__39__metadata.json index 938620d9..9f35dab7 100644 --- a/metadata/Acord131__39__metadata.json +++ b/metadata/Acord131__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__39__metadata.json b/metadata/Acord140__39__metadata.json index 6af212cd..d6d8ff70 100644 --- a/metadata/Acord140__39__metadata.json +++ b/metadata/Acord140__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__39__metadata.json b/metadata/Acord25__39__metadata.json index 0a7cf8c6..46595bb8 100644 --- a/metadata/Acord25__39__metadata.json +++ b/metadata/Acord25__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__39__metadata.json b/metadata/BankStatements__39__metadata.json index e810820f..b9bd90c4 100644 --- a/metadata/BankStatements__39__metadata.json +++ b/metadata/BankStatements__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__39__metadata.json b/metadata/BillsOfLading__39__metadata.json index d2a4cd69..1c3d1aad 100644 --- a/metadata/BillsOfLading__39__metadata.json +++ b/metadata/BillsOfLading__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__28__metadata.json b/metadata/CMS1500__28__metadata.json index 09a5358c..5fe03061 100644 --- a/metadata/CMS1500__28__metadata.json +++ b/metadata/CMS1500__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__28__metadata.json b/metadata/CertificatesOfIncorporation__28__metadata.json index 0278e57d..64626960 100644 --- a/metadata/CertificatesOfIncorporation__28__metadata.json +++ b/metadata/CertificatesOfIncorporation__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__28__metadata.json b/metadata/CertificatesOfOrigin__28__metadata.json index 7b67bf88..2d1438ea 100644 --- a/metadata/CertificatesOfOrigin__28__metadata.json +++ b/metadata/CertificatesOfOrigin__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__39__metadata.json b/metadata/Checks__39__metadata.json index 9b297d2e..07c19cc2 100644 --- a/metadata/Checks__39__metadata.json +++ b/metadata/Checks__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__28__metadata.json b/metadata/ChildrenProductCertificates__28__metadata.json index f34ef5af..ba7b4690 100644 --- a/metadata/ChildrenProductCertificates__28__metadata.json +++ b/metadata/ChildrenProductCertificates__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__41__metadata.json b/metadata/DocumentClassifier__41__metadata.json index 85c82c4d..55275961 100644 --- a/metadata/DocumentClassifier__41__metadata.json +++ b/metadata/DocumentClassifier__41__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-ml-document-type-text-classifier:v25.10-9.04-rc03", + "imagePath": "du-ml-document-type-text-classifier:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__50__metadata.json b/metadata/DocumentUnderstanding__50__metadata.json index f5d08818..7fd57c7f 100644 --- a/metadata/DocumentUnderstanding__50__metadata.json +++ b/metadata/DocumentUnderstanding__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__28__metadata.json b/metadata/EUDeclarationOfConformity__28__metadata.json index 0318e517..9946a515 100644 --- a/metadata/EUDeclarationOfConformity__28__metadata.json +++ b/metadata/EUDeclarationOfConformity__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__41__metadata.json b/metadata/FM1003__41__metadata.json index 6843e72c..f5a3d2ee 100644 --- a/metadata/FM1003__41__metadata.json +++ b/metadata/FM1003__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__39__metadata.json b/metadata/FinancialStatements__39__metadata.json index 1efddeb4..bbacd822 100644 --- a/metadata/FinancialStatements__39__metadata.json +++ b/metadata/FinancialStatements__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__41__metadata.json b/metadata/I9__41__metadata.json index 6e9e99a1..b8798f92 100644 --- a/metadata/I9__41__metadata.json +++ b/metadata/I9__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__43__metadata.json b/metadata/IDCards__43__metadata.json index a53cbc43..e4a88223 100644 --- a/metadata/IDCards__43__metadata.json +++ b/metadata/IDCards__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__49__metadata.json b/metadata/IndianInvoices__49__metadata.json index 09abe237..4ee19d9e 100644 --- a/metadata/IndianInvoices__49__metadata.json +++ b/metadata/IndianInvoices__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__42__metadata.json b/metadata/InvoicesChina__42__metadata.json index 6b52d6cd..fac3ee5b 100644 --- a/metadata/InvoicesChina__42__metadata.json +++ b/metadata/InvoicesChina__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__7__metadata.json b/metadata/InvoicesHebrew__7__metadata.json index af03595f..7a230da7 100644 --- a/metadata/InvoicesHebrew__7__metadata.json +++ b/metadata/InvoicesHebrew__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__28__metadata.json b/metadata/InvoicesShipping__28__metadata.json index 448fe3d2..dbfff086 100644 --- a/metadata/InvoicesShipping__28__metadata.json +++ b/metadata/InvoicesShipping__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__50__metadata.json b/metadata/Invoices__50__metadata.json index 96e18f02..095ef0a2 100644 --- a/metadata/Invoices__50__metadata.json +++ b/metadata/Invoices__50__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__47__metadata.json b/metadata/JapaneseInvoices__47__metadata.json index 92c6b4dc..f7b24e19 100644 --- a/metadata/JapaneseInvoices__47__metadata.json +++ b/metadata/JapaneseInvoices__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__39__metadata.json b/metadata/PackingLists__39__metadata.json index 6e4eddc4..71e428f4 100644 --- a/metadata/PackingLists__39__metadata.json +++ b/metadata/PackingLists__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__43__metadata.json b/metadata/Passports__43__metadata.json index 89721bdb..d4c0269b 100644 --- a/metadata/Passports__43__metadata.json +++ b/metadata/Passports__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__28__metadata.json b/metadata/Payslips__28__metadata.json index bfe4ee59..6819a0a4 100644 --- a/metadata/Payslips__28__metadata.json +++ b/metadata/Payslips__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__49__metadata.json b/metadata/PurchaseOrders__49__metadata.json index 00373a7e..41ba9352 100644 --- a/metadata/PurchaseOrders__49__metadata.json +++ b/metadata/PurchaseOrders__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__50__metadata.json b/metadata/Receipts__50__metadata.json index dd3428a0..764fb695 100644 --- a/metadata/Receipts__50__metadata.json +++ b/metadata/Receipts__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__42__metadata.json b/metadata/RemittanceAdvices__42__metadata.json index 602b75ec..edaab5b2 100644 --- a/metadata/RemittanceAdvices__42__metadata.json +++ b/metadata/RemittanceAdvices__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__16__metadata.json b/metadata/UB04__16__metadata.json index 05f22a19..ebc519eb 100644 --- a/metadata/UB04__16__metadata.json +++ b/metadata/UB04__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__35__metadata.json b/metadata/UiPathDocumentOCR_CPU__35__metadata.json index 89bc403d..3b1b9be4 100644 --- a/metadata/UiPathDocumentOCR_CPU__35__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__35__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 35, "customVersion": "25.10.0", - "imagePath": "du-doc-ocr-cpu:v25.10-9.04-rc03", + "imagePath": "du-doc-ocr-cpu:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__41__metadata.json b/metadata/UiPathDocumentOCR__41__metadata.json index 68cb5da9..e24ee0f6 100644 --- a/metadata/UiPathDocumentOCR__41__metadata.json +++ b/metadata/UiPathDocumentOCR__41__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-doc-ocr:v25.10-9.04-rc03", + "imagePath": "du-doc-ocr:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__49__metadata.json b/metadata/UtilityBills__49__metadata.json index ed14f647..fcb9b9a7 100644 --- a/metadata/UtilityBills__49__metadata.json +++ b/metadata/UtilityBills__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__39__metadata.json b/metadata/VehicleTitles__39__metadata.json index 270089a7..d4b9d528 100644 --- a/metadata/VehicleTitles__39__metadata.json +++ b/metadata/VehicleTitles__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__42__metadata.json b/metadata/W2__42__metadata.json index 6c62953b..efde0e76 100644 --- a/metadata/W2__42__metadata.json +++ b/metadata/W2__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__42__metadata.json b/metadata/W9__42__metadata.json index 3d2a900d..b30ae3ea 100644 --- a/metadata/W9__42__metadata.json +++ b/metadata/W9__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.04-rc03", + "imagePath": "du-semistructured:v25.10-9.12-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From d095a536ee14d5ab54bb9264465fd161d29d212e Mon Sep 17 00:00:00 2001 From: andznui <98815714+andznui@users.noreply.github.com> Date: Tue, 30 Sep 2025 12:13:00 +0300 Subject: [PATCH 255/267] Publish new version of NER (#480) --- ...mNamedEntityRecognition__11__metadata.json | 23 +++++++++++++++++++ 1 file changed, 23 insertions(+) create mode 100644 metadata/CustomNamedEntityRecognition__11__metadata.json diff --git a/metadata/CustomNamedEntityRecognition__11__metadata.json b/metadata/CustomNamedEntityRecognition__11__metadata.json new file mode 100644 index 00000000..2e29d227 --- /dev/null +++ b/metadata/CustomNamedEntityRecognition__11__metadata.json @@ -0,0 +1,23 @@ +{ + "name": "CustomNamedEntityRecognition", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This model allows you to bring your own dataset tagged with entities you want to extract. The training and evaluation datasets need to be in CoNLL or JSON format as highlighted in documentation : https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#dataset-format", + "inputDescription": "Text in one of the 100 languages here (https://docs.uipath.com/ai-fabric/v0/docs/aic-cloud-custom-named-entity-recognition#languages) from which entities will be extracted.", + "outputDescription": "A Json Response with list of named entities in the text. Each element in the list has the following items in the prediction: 1. Text that was recognized; 2. Starting and ending positions of the text, character-wise; 3. Type of the named entity; 4.Confidence.", + "changeLog": "model 22.6.0", + "cpu": 1, + "inputType": "JSON", + "displayName": "CustomNamedEntityRecognition", + "memory": 0, + "mlPackageLanguage": "PYTHON38", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v22.4", + "version": 11, + "contentUri": "https:///publicmodels/AIC/CustomNamedEntityRecognition/11/ner_package.zip" +} \ No newline at end of file From fac8025bd9bcb2eb705448db6ec6cfd7b9859fa1 Mon Sep 17 00:00:00 2001 From: "irinel.birsan@uipath.com" Date: Fri, 26 Sep 2025 16:03:12 +0300 Subject: [PATCH 256/267] Move LTC and MLTC to Python 3.12 --- .../LightTextClassification__8__metadata.json | 24 +++++++++++++++++++ ...ingualTextClassification__6__metadata.json | 24 +++++++++++++++++++ 2 files changed, 48 insertions(+) create mode 100644 metadata/LightTextClassification__8__metadata.json create mode 100644 metadata/MultiLingualTextClassification__6__metadata.json diff --git a/metadata/LightTextClassification__8__metadata.json b/metadata/LightTextClassification__8__metadata.json new file mode 100644 index 00000000..63ffe2d2 --- /dev/null +++ b/metadata/LightTextClassification__8__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "LightTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", + "inputDescription": "Text that would be classified.", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", + "changeLog": "Move to Python3.12", + "cpu": 1, + "inputType": "JSON", + "displayName": "LightTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON312", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v23.10", + "version": 8, + "customVersion": "25.9.0", + "contentUri": "https:///publicmodels/AIC/LightTextClassification/25.9.0/bow_text_classifier_package.zip" +} diff --git a/metadata/MultiLingualTextClassification__6__metadata.json b/metadata/MultiLingualTextClassification__6__metadata.json new file mode 100644 index 00000000..862ea6fa --- /dev/null +++ b/metadata/MultiLingualTextClassification__6__metadata.json @@ -0,0 +1,24 @@ +{ + "name": "MultiLingualTextClassification", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", + "inputDescription": "Text that would be classified", + "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", + "changeLog": "Move to Python3.12", + "cpu": 1, + "inputType": "JSON", + "displayName": "MultiLingualTextClassification", + "memory": 0, + "mlPackageLanguage": "PYTHON312", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Language Analysis", + "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", + "tenantName": "UiPath", + "minAIFabricVersion": "v23.10", + "version": 6, + "customVersion": "25.9.0", + "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/25.9.0/bert_text_classifier_package.zip" +} \ No newline at end of file From 241aa862288fe39c9c3e44d07a0ea32d35374ac8 Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Thu, 16 Oct 2025 17:55:57 +0300 Subject: [PATCH 257/267] Pushing metadatas (#483) Co-authored-by: du-app-bot --- metadata/UiPathDocumentOCR__41__metadata.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/metadata/UiPathDocumentOCR__41__metadata.json b/metadata/UiPathDocumentOCR__41__metadata.json index e24ee0f6..9322b3ed 100644 --- a/metadata/UiPathDocumentOCR__41__metadata.json +++ b/metadata/UiPathDocumentOCR__41__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-doc-ocr:v25.10-9.12-rc02", + "imagePath": "du-doc-ocr:v25.10-10.14-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } From 4d0ea2d337e7e6aa8a542c989cc1727a0f2cb554 Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Mon, 20 Oct 2025 10:29:52 +0300 Subject: [PATCH 258/267] Pushing metadatas (#484) Co-authored-by: du-app-bot --- metadata/1040ScheduleC__16__metadata.json | 2 +- metadata/1040ScheduleD__16__metadata.json | 2 +- metadata/1040ScheduleE__16__metadata.json | 2 +- metadata/1040__39__metadata.json | 2 +- metadata/1040x__7__metadata.json | 2 +- metadata/3949a__7__metadata.json | 2 +- metadata/4506T__41__metadata.json | 2 +- metadata/709__7__metadata.json | 2 +- metadata/941x__7__metadata.json | 2 +- metadata/9465__7__metadata.json | 2 +- metadata/Acord125__41__metadata.json | 2 +- metadata/Acord126__39__metadata.json | 2 +- metadata/Acord131__39__metadata.json | 2 +- metadata/Acord140__39__metadata.json | 2 +- metadata/Acord25__39__metadata.json | 2 +- metadata/BankStatements__39__metadata.json | 2 +- metadata/BillsOfLading__39__metadata.json | 2 +- metadata/CMS1500__28__metadata.json | 2 +- metadata/CertificatesOfIncorporation__28__metadata.json | 2 +- metadata/CertificatesOfOrigin__28__metadata.json | 2 +- metadata/Checks__39__metadata.json | 2 +- metadata/ChildrenProductCertificates__28__metadata.json | 2 +- metadata/DocumentClassifier__41__metadata.json | 2 +- metadata/DocumentUnderstanding__50__metadata.json | 2 +- metadata/EUDeclarationOfConformity__28__metadata.json | 2 +- metadata/FM1003__41__metadata.json | 2 +- metadata/FinancialStatements__39__metadata.json | 2 +- metadata/I9__41__metadata.json | 2 +- metadata/IDCards__43__metadata.json | 2 +- metadata/IndianInvoices__49__metadata.json | 2 +- metadata/InvoicesChina__42__metadata.json | 2 +- metadata/InvoicesHebrew__7__metadata.json | 2 +- metadata/InvoicesShipping__28__metadata.json | 2 +- metadata/Invoices__50__metadata.json | 2 +- metadata/JapaneseInvoices__47__metadata.json | 2 +- metadata/PackingLists__39__metadata.json | 2 +- metadata/Passports__43__metadata.json | 2 +- metadata/Payslips__28__metadata.json | 2 +- metadata/PurchaseOrders__49__metadata.json | 2 +- metadata/Receipts__50__metadata.json | 2 +- metadata/RemittanceAdvices__42__metadata.json | 2 +- metadata/UB04__16__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__35__metadata.json | 2 +- metadata/UiPathDocumentOCR__41__metadata.json | 2 +- metadata/UtilityBills__49__metadata.json | 2 +- metadata/VehicleTitles__39__metadata.json | 2 +- metadata/W2__42__metadata.json | 2 +- metadata/W9__42__metadata.json | 2 +- 48 files changed, 48 insertions(+), 48 deletions(-) diff --git a/metadata/1040ScheduleC__16__metadata.json b/metadata/1040ScheduleC__16__metadata.json index e98a846e..d89c3df2 100644 --- a/metadata/1040ScheduleC__16__metadata.json +++ b/metadata/1040ScheduleC__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__16__metadata.json b/metadata/1040ScheduleD__16__metadata.json index fbe222cd..bda5d121 100644 --- a/metadata/1040ScheduleD__16__metadata.json +++ b/metadata/1040ScheduleD__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__16__metadata.json b/metadata/1040ScheduleE__16__metadata.json index c7e9c72e..e9670803 100644 --- a/metadata/1040ScheduleE__16__metadata.json +++ b/metadata/1040ScheduleE__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__39__metadata.json b/metadata/1040__39__metadata.json index b757a62b..383a5a83 100644 --- a/metadata/1040__39__metadata.json +++ b/metadata/1040__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__7__metadata.json b/metadata/1040x__7__metadata.json index 121a1ecd..1fa3e9c4 100644 --- a/metadata/1040x__7__metadata.json +++ b/metadata/1040x__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__7__metadata.json b/metadata/3949a__7__metadata.json index f44e56ff..b9ed340c 100644 --- a/metadata/3949a__7__metadata.json +++ b/metadata/3949a__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__41__metadata.json b/metadata/4506T__41__metadata.json index 237678a4..584a8467 100644 --- a/metadata/4506T__41__metadata.json +++ b/metadata/4506T__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__7__metadata.json b/metadata/709__7__metadata.json index f86cec4c..2f58ed99 100644 --- a/metadata/709__7__metadata.json +++ b/metadata/709__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__7__metadata.json b/metadata/941x__7__metadata.json index 09fe2f5d..f1c00ffa 100644 --- a/metadata/941x__7__metadata.json +++ b/metadata/941x__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__7__metadata.json b/metadata/9465__7__metadata.json index 5f1b4f2f..684c4b38 100644 --- a/metadata/9465__7__metadata.json +++ b/metadata/9465__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__41__metadata.json b/metadata/Acord125__41__metadata.json index 07d4eedb..0678e6d2 100644 --- a/metadata/Acord125__41__metadata.json +++ b/metadata/Acord125__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__39__metadata.json b/metadata/Acord126__39__metadata.json index 7158b7cc..4f14a00e 100644 --- a/metadata/Acord126__39__metadata.json +++ b/metadata/Acord126__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__39__metadata.json b/metadata/Acord131__39__metadata.json index 9f35dab7..d08c2eb5 100644 --- a/metadata/Acord131__39__metadata.json +++ b/metadata/Acord131__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__39__metadata.json b/metadata/Acord140__39__metadata.json index d6d8ff70..259c3df8 100644 --- a/metadata/Acord140__39__metadata.json +++ b/metadata/Acord140__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__39__metadata.json b/metadata/Acord25__39__metadata.json index 46595bb8..e1186c9c 100644 --- a/metadata/Acord25__39__metadata.json +++ b/metadata/Acord25__39__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__39__metadata.json b/metadata/BankStatements__39__metadata.json index b9bd90c4..847547b8 100644 --- a/metadata/BankStatements__39__metadata.json +++ b/metadata/BankStatements__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__39__metadata.json b/metadata/BillsOfLading__39__metadata.json index 1c3d1aad..24516e96 100644 --- a/metadata/BillsOfLading__39__metadata.json +++ b/metadata/BillsOfLading__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__28__metadata.json b/metadata/CMS1500__28__metadata.json index 5fe03061..4680ea25 100644 --- a/metadata/CMS1500__28__metadata.json +++ b/metadata/CMS1500__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__28__metadata.json b/metadata/CertificatesOfIncorporation__28__metadata.json index 64626960..17790841 100644 --- a/metadata/CertificatesOfIncorporation__28__metadata.json +++ b/metadata/CertificatesOfIncorporation__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__28__metadata.json b/metadata/CertificatesOfOrigin__28__metadata.json index 2d1438ea..51635c10 100644 --- a/metadata/CertificatesOfOrigin__28__metadata.json +++ b/metadata/CertificatesOfOrigin__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__39__metadata.json b/metadata/Checks__39__metadata.json index 07c19cc2..c4dc7b26 100644 --- a/metadata/Checks__39__metadata.json +++ b/metadata/Checks__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__28__metadata.json b/metadata/ChildrenProductCertificates__28__metadata.json index ba7b4690..fa636999 100644 --- a/metadata/ChildrenProductCertificates__28__metadata.json +++ b/metadata/ChildrenProductCertificates__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__41__metadata.json b/metadata/DocumentClassifier__41__metadata.json index 55275961..a0189ddd 100644 --- a/metadata/DocumentClassifier__41__metadata.json +++ b/metadata/DocumentClassifier__41__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-ml-document-type-text-classifier:v25.10-9.12-rc02", + "imagePath": "du-ml-document-type-text-classifier:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__50__metadata.json b/metadata/DocumentUnderstanding__50__metadata.json index 7fd57c7f..33b2db0f 100644 --- a/metadata/DocumentUnderstanding__50__metadata.json +++ b/metadata/DocumentUnderstanding__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__28__metadata.json b/metadata/EUDeclarationOfConformity__28__metadata.json index 9946a515..fd87d3ff 100644 --- a/metadata/EUDeclarationOfConformity__28__metadata.json +++ b/metadata/EUDeclarationOfConformity__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__41__metadata.json b/metadata/FM1003__41__metadata.json index f5a3d2ee..90ebe9d2 100644 --- a/metadata/FM1003__41__metadata.json +++ b/metadata/FM1003__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__39__metadata.json b/metadata/FinancialStatements__39__metadata.json index bbacd822..3a826eea 100644 --- a/metadata/FinancialStatements__39__metadata.json +++ b/metadata/FinancialStatements__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__41__metadata.json b/metadata/I9__41__metadata.json index b8798f92..bfd13576 100644 --- a/metadata/I9__41__metadata.json +++ b/metadata/I9__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__43__metadata.json b/metadata/IDCards__43__metadata.json index e4a88223..47752a62 100644 --- a/metadata/IDCards__43__metadata.json +++ b/metadata/IDCards__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__49__metadata.json b/metadata/IndianInvoices__49__metadata.json index 4ee19d9e..842eceb0 100644 --- a/metadata/IndianInvoices__49__metadata.json +++ b/metadata/IndianInvoices__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__42__metadata.json b/metadata/InvoicesChina__42__metadata.json index fac3ee5b..4ec5018f 100644 --- a/metadata/InvoicesChina__42__metadata.json +++ b/metadata/InvoicesChina__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__7__metadata.json b/metadata/InvoicesHebrew__7__metadata.json index 7a230da7..316ab555 100644 --- a/metadata/InvoicesHebrew__7__metadata.json +++ b/metadata/InvoicesHebrew__7__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 7, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__28__metadata.json b/metadata/InvoicesShipping__28__metadata.json index dbfff086..84f2bf16 100644 --- a/metadata/InvoicesShipping__28__metadata.json +++ b/metadata/InvoicesShipping__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__50__metadata.json b/metadata/Invoices__50__metadata.json index 095ef0a2..a91df2ae 100644 --- a/metadata/Invoices__50__metadata.json +++ b/metadata/Invoices__50__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__47__metadata.json b/metadata/JapaneseInvoices__47__metadata.json index f7b24e19..159f8db0 100644 --- a/metadata/JapaneseInvoices__47__metadata.json +++ b/metadata/JapaneseInvoices__47__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 47, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__39__metadata.json b/metadata/PackingLists__39__metadata.json index 71e428f4..928104c1 100644 --- a/metadata/PackingLists__39__metadata.json +++ b/metadata/PackingLists__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__43__metadata.json b/metadata/Passports__43__metadata.json index d4c0269b..93a8994a 100644 --- a/metadata/Passports__43__metadata.json +++ b/metadata/Passports__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__28__metadata.json b/metadata/Payslips__28__metadata.json index 6819a0a4..0e89e081 100644 --- a/metadata/Payslips__28__metadata.json +++ b/metadata/Payslips__28__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 28, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__49__metadata.json b/metadata/PurchaseOrders__49__metadata.json index 41ba9352..36402c0c 100644 --- a/metadata/PurchaseOrders__49__metadata.json +++ b/metadata/PurchaseOrders__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__50__metadata.json b/metadata/Receipts__50__metadata.json index 764fb695..f59efb2e 100644 --- a/metadata/Receipts__50__metadata.json +++ b/metadata/Receipts__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__42__metadata.json b/metadata/RemittanceAdvices__42__metadata.json index edaab5b2..1da26ac9 100644 --- a/metadata/RemittanceAdvices__42__metadata.json +++ b/metadata/RemittanceAdvices__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__16__metadata.json b/metadata/UB04__16__metadata.json index ebc519eb..af49fe00 100644 --- a/metadata/UB04__16__metadata.json +++ b/metadata/UB04__16__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 16, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__35__metadata.json b/metadata/UiPathDocumentOCR_CPU__35__metadata.json index 3b1b9be4..4b6485f2 100644 --- a/metadata/UiPathDocumentOCR_CPU__35__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__35__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 35, "customVersion": "25.10.0", - "imagePath": "du-doc-ocr-cpu:v25.10-9.12-rc02", + "imagePath": "du-doc-ocr-cpu:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__41__metadata.json b/metadata/UiPathDocumentOCR__41__metadata.json index 9322b3ed..dc02f7e8 100644 --- a/metadata/UiPathDocumentOCR__41__metadata.json +++ b/metadata/UiPathDocumentOCR__41__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.0", - "imagePath": "du-doc-ocr:v25.10-10.14-rc02", + "imagePath": "du-doc-ocr:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__49__metadata.json b/metadata/UtilityBills__49__metadata.json index fcb9b9a7..afb2d457 100644 --- a/metadata/UtilityBills__49__metadata.json +++ b/metadata/UtilityBills__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__39__metadata.json b/metadata/VehicleTitles__39__metadata.json index d4b9d528..7c8bea44 100644 --- a/metadata/VehicleTitles__39__metadata.json +++ b/metadata/VehicleTitles__39__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 39, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__42__metadata.json b/metadata/W2__42__metadata.json index efde0e76..2cfa1f02 100644 --- a/metadata/W2__42__metadata.json +++ b/metadata/W2__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__42__metadata.json b/metadata/W9__42__metadata.json index b30ae3ea..7b677cc9 100644 --- a/metadata/W9__42__metadata.json +++ b/metadata/W9__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "25.10.0", - "imagePath": "du-semistructured:v25.10-9.12-rc02", + "imagePath": "du-semistructured:v25.10-10.17-rc04", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From de59f36cc146f082176838edfe9da5bbbefa3f5a Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Mon, 17 Nov 2025 11:45:35 +0200 Subject: [PATCH 259/267] [testing] Push models [24.10.7][25.10.1] (#487) * Pushing metadatas * Pushing metadatas --------- Co-authored-by: du-app-bot --- metadata/1040ScheduleC__17__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleC__18__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__17__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleD__18__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__17__metadata.json | 33 +++++++++++++++++++ metadata/1040ScheduleE__18__metadata.json | 33 +++++++++++++++++++ metadata/1040__40__metadata.json | 33 +++++++++++++++++++ metadata/1040__41__metadata.json | 33 +++++++++++++++++++ metadata/1040x__8__metadata.json | 33 +++++++++++++++++++ metadata/1040x__9__metadata.json | 33 +++++++++++++++++++ metadata/3949a__8__metadata.json | 33 +++++++++++++++++++ metadata/3949a__9__metadata.json | 33 +++++++++++++++++++ metadata/4506T__42__metadata.json | 33 +++++++++++++++++++ metadata/4506T__43__metadata.json | 33 +++++++++++++++++++ metadata/709__8__metadata.json | 33 +++++++++++++++++++ metadata/709__9__metadata.json | 33 +++++++++++++++++++ metadata/941x__8__metadata.json | 33 +++++++++++++++++++ metadata/941x__9__metadata.json | 33 +++++++++++++++++++ metadata/9465__8__metadata.json | 33 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33 +++++++++++++++++++ metadata/CMS1500__30__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__29__metadata.json | 33 +++++++++++++++++++ ...ificatesOfIncorporation__30__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__29__metadata.json | 33 +++++++++++++++++++ .../CertificatesOfOrigin__30__metadata.json | 33 +++++++++++++++++++ metadata/Checks__40__metadata.json | 32 ++++++++++++++++++ metadata/Checks__41__metadata.json | 32 ++++++++++++++++++ ...drenProductCertificates__29__metadata.json | 33 +++++++++++++++++++ ...drenProductCertificates__30__metadata.json | 33 +++++++++++++++++++ .../DocumentClassifier__42__metadata.json | 26 +++++++++++++++ .../DocumentClassifier__43__metadata.json | 26 +++++++++++++++ .../DocumentUnderstanding__51__metadata.json | 33 +++++++++++++++++++ .../DocumentUnderstanding__52__metadata.json | 33 +++++++++++++++++++ ...DeclarationOfConformity__29__metadata.json | 33 +++++++++++++++++++ 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+++++++++++++++++++ metadata/W9__44__metadata.json | 33 +++++++++++++++++++ 96 files changed, 3112 insertions(+) create mode 100644 metadata/1040ScheduleC__17__metadata.json create mode 100644 metadata/1040ScheduleC__18__metadata.json create mode 100644 metadata/1040ScheduleD__17__metadata.json create mode 100644 metadata/1040ScheduleD__18__metadata.json create mode 100644 metadata/1040ScheduleE__17__metadata.json create mode 100644 metadata/1040ScheduleE__18__metadata.json create mode 100644 metadata/1040__40__metadata.json create mode 100644 metadata/1040__41__metadata.json create mode 100644 metadata/1040x__8__metadata.json create mode 100644 metadata/1040x__9__metadata.json create mode 100644 metadata/3949a__8__metadata.json create mode 100644 metadata/3949a__9__metadata.json create mode 100644 metadata/4506T__42__metadata.json create mode 100644 metadata/4506T__43__metadata.json create mode 100644 metadata/709__8__metadata.json create mode 100644 metadata/709__9__metadata.json 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metadata/BillsOfLading__41__metadata.json create mode 100644 metadata/CMS1500__29__metadata.json create mode 100644 metadata/CMS1500__30__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__29__metadata.json create mode 100644 metadata/CertificatesOfIncorporation__30__metadata.json create mode 100644 metadata/CertificatesOfOrigin__29__metadata.json create mode 100644 metadata/CertificatesOfOrigin__30__metadata.json create mode 100644 metadata/Checks__40__metadata.json create mode 100644 metadata/Checks__41__metadata.json create mode 100644 metadata/ChildrenProductCertificates__29__metadata.json create mode 100644 metadata/ChildrenProductCertificates__30__metadata.json create mode 100644 metadata/DocumentClassifier__42__metadata.json create mode 100644 metadata/DocumentClassifier__43__metadata.json create mode 100644 metadata/DocumentUnderstanding__51__metadata.json create mode 100644 metadata/DocumentUnderstanding__52__metadata.json create mode 100644 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index 00000000..dd561636 --- /dev/null +++ b/metadata/1040ScheduleC__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleC__18__metadata.json b/metadata/1040ScheduleC__18__metadata.json new file mode 100644 index 00000000..b1e65246 --- /dev/null +++ b/metadata/1040ScheduleC__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleC", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleC. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleC", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_c" + } + ] +} diff --git a/metadata/1040ScheduleD__17__metadata.json b/metadata/1040ScheduleD__17__metadata.json new file mode 100644 index 00000000..8842be82 --- /dev/null +++ b/metadata/1040ScheduleD__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleD__18__metadata.json b/metadata/1040ScheduleD__18__metadata.json new file mode 100644 index 00000000..ab691cb1 --- /dev/null +++ b/metadata/1040ScheduleD__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleD", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleD. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleD", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_d" + } + ] +} diff --git a/metadata/1040ScheduleE__17__metadata.json b/metadata/1040ScheduleE__17__metadata.json new file mode 100644 index 00000000..7881a511 --- /dev/null +++ b/metadata/1040ScheduleE__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040ScheduleE__18__metadata.json b/metadata/1040ScheduleE__18__metadata.json new file mode 100644 index 00000000..629cb5ca --- /dev/null +++ b/metadata/1040ScheduleE__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040ScheduleE", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040ScheduleE. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040ScheduleE", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040_schedule_e" + } + ] +} diff --git a/metadata/1040__40__metadata.json b/metadata/1040__40__metadata.json new file mode 100644 index 00000000..ae19676d --- /dev/null +++ b/metadata/1040__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/1040__41__metadata.json b/metadata/1040__41__metadata.json new file mode 100644 index 00000000..9751fd71 --- /dev/null +++ b/metadata/1040__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 1040 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040" + } + ] +} diff --git a/metadata/1040x__8__metadata.json b/metadata/1040x__8__metadata.json new file mode 100644 index 00000000..1b297599 --- /dev/null +++ b/metadata/1040x__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040x" + } + ] +} diff --git a/metadata/1040x__9__metadata.json b/metadata/1040x__9__metadata.json new file mode 100644 index 00000000..33e7b62a --- /dev/null +++ b/metadata/1040x__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_1040x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 1040x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "1040x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "1040x" + } + ] +} diff --git a/metadata/3949a__8__metadata.json b/metadata/3949a__8__metadata.json new file mode 100644 index 00000000..2db0b87f --- /dev/null +++ b/metadata/3949a__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_3949a", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/3949a__9__metadata.json b/metadata/3949a__9__metadata.json new file mode 100644 index 00000000..d4bd7aa9 --- /dev/null +++ b/metadata/3949a__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_3949a", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 3949a documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "3949a", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "3949a" + } + ] +} diff --git a/metadata/4506T__42__metadata.json b/metadata/4506T__42__metadata.json new file mode 100644 index 00000000..5fe88043 --- /dev/null +++ b/metadata/4506T__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/4506T__43__metadata.json b/metadata/4506T__43__metadata.json new file mode 100644 index 00000000..001912a1 --- /dev/null +++ b/metadata/4506T__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_4506T", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from 4506T documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "4506T", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "4506t" + } + ] +} diff --git a/metadata/709__8__metadata.json b/metadata/709__8__metadata.json new file mode 100644 index 00000000..67a3d304 --- /dev/null +++ b/metadata/709__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/709__9__metadata.json b/metadata/709__9__metadata.json new file mode 100644 index 00000000..e39e2293 --- /dev/null +++ b/metadata/709__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_709", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 709 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "709", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "709" + } + ] +} diff --git a/metadata/941x__8__metadata.json b/metadata/941x__8__metadata.json new file mode 100644 index 00000000..f171f8d4 --- /dev/null +++ b/metadata/941x__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_941x", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 941x documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. 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Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "941x", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "941x" + } + ] +} diff --git a/metadata/9465__8__metadata.json b/metadata/9465__8__metadata.json new file mode 100644 index 00000000..b2193828 --- /dev/null +++ b/metadata/9465__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/9465__9__metadata.json b/metadata/9465__9__metadata.json new file mode 100644 index 00000000..6f96c04c --- /dev/null +++ b/metadata/9465__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "form_9465", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from 9465 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "9465", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "9465" + } + ] +} diff --git a/metadata/Acord125__42__metadata.json b/metadata/Acord125__42__metadata.json new file mode 100644 index 00000000..45f61dff --- /dev/null +++ b/metadata/Acord125__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord125__43__metadata.json b/metadata/Acord125__43__metadata.json new file mode 100644 index 00000000..92202bf3 --- /dev/null +++ b/metadata/Acord125__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord125", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord125 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord125", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord125" + } + ] +} diff --git a/metadata/Acord126__40__metadata.json b/metadata/Acord126__40__metadata.json new file mode 100644 index 00000000..6c6e651c --- /dev/null +++ b/metadata/Acord126__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord126__41__metadata.json b/metadata/Acord126__41__metadata.json new file mode 100644 index 00000000..0f55085c --- /dev/null +++ b/metadata/Acord126__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord126", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord126 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord126", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord126" + } + ] +} diff --git a/metadata/Acord131__40__metadata.json b/metadata/Acord131__40__metadata.json new file mode 100644 index 00000000..c975736c --- /dev/null +++ b/metadata/Acord131__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord131__41__metadata.json b/metadata/Acord131__41__metadata.json new file mode 100644 index 00000000..6e9379e3 --- /dev/null +++ b/metadata/Acord131__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord131", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord131 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord131", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord131" + } + ] +} diff --git a/metadata/Acord140__40__metadata.json b/metadata/Acord140__40__metadata.json new file mode 100644 index 00000000..16691e6c --- /dev/null +++ b/metadata/Acord140__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord140__41__metadata.json b/metadata/Acord140__41__metadata.json new file mode 100644 index 00000000..99e532eb --- /dev/null +++ b/metadata/Acord140__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord140", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord140 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord140", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord140" + } + ] +} diff --git a/metadata/Acord25__40__metadata.json b/metadata/Acord25__40__metadata.json new file mode 100644 index 00000000..023d7325 --- /dev/null +++ b/metadata/Acord25__40__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/Acord25__41__metadata.json b/metadata/Acord25__41__metadata.json new file mode 100644 index 00000000..edf27bee --- /dev/null +++ b/metadata/Acord25__41__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Acord25", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Acord25 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Acord25", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "acord25" + } + ] +} diff --git a/metadata/BankStatements__40__metadata.json b/metadata/BankStatements__40__metadata.json new file mode 100644 index 00000000..848c6369 --- /dev/null +++ b/metadata/BankStatements__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BankStatements__41__metadata.json b/metadata/BankStatements__41__metadata.json new file mode 100644 index 00000000..646b1084 --- /dev/null +++ b/metadata/BankStatements__41__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BankStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bank Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BankStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bank_statements" + } + ] +} diff --git a/metadata/BillsOfLading__40__metadata.json b/metadata/BillsOfLading__40__metadata.json new file mode 100644 index 00000000..e80a69b4 --- /dev/null +++ b/metadata/BillsOfLading__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/BillsOfLading__41__metadata.json b/metadata/BillsOfLading__41__metadata.json new file mode 100644 index 00000000..b21bd93b --- /dev/null +++ b/metadata/BillsOfLading__41__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "BillsOfLading", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Bills of Lading, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "BillsOfLading", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "bills_of_lading" + } + ] +} diff --git a/metadata/CMS1500__29__metadata.json b/metadata/CMS1500__29__metadata.json new file mode 100644 index 00000000..440e11ad --- /dev/null +++ b/metadata/CMS1500__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CMS1500__30__metadata.json b/metadata/CMS1500__30__metadata.json new file mode 100644 index 00000000..1fcef15b --- /dev/null +++ b/metadata/CMS1500__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CMS1500", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from CMS 1500. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/cms1500-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CMS1500", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "cms1500" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__29__metadata.json b/metadata/CertificatesOfIncorporation__29__metadata.json new file mode 100644 index 00000000..ad98a0dc --- /dev/null +++ b/metadata/CertificatesOfIncorporation__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfIncorporation__30__metadata.json b/metadata/CertificatesOfIncorporation__30__metadata.json new file mode 100644 index 00000000..ae114d62 --- /dev/null +++ b/metadata/CertificatesOfIncorporation__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfIncorporation", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Incorporation. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-incorporation-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfIncorporation", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_incorporation" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__29__metadata.json b/metadata/CertificatesOfOrigin__29__metadata.json new file mode 100644 index 00000000..fd889576 --- /dev/null +++ b/metadata/CertificatesOfOrigin__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/CertificatesOfOrigin__30__metadata.json b/metadata/CertificatesOfOrigin__30__metadata.json new file mode 100644 index 00000000..a261638e --- /dev/null +++ b/metadata/CertificatesOfOrigin__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "CertificatesOfOrigin", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Certificates of Origin. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/certificates-origin-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "CertificatesOfOrigin", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "certificates_origin" + } + ] +} diff --git a/metadata/Checks__40__metadata.json b/metadata/Checks__40__metadata.json new file mode 100644 index 00000000..59ffb3ef --- /dev/null +++ b/metadata/Checks__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/Checks__41__metadata.json b/metadata/Checks__41__metadata.json new file mode 100644 index 00000000..724e1dfa --- /dev/null +++ b/metadata/Checks__41__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Checks", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Checks, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Checks", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "checks" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__29__metadata.json b/metadata/ChildrenProductCertificates__29__metadata.json new file mode 100644 index 00000000..13a3a827 --- /dev/null +++ b/metadata/ChildrenProductCertificates__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/ChildrenProductCertificates__30__metadata.json b/metadata/ChildrenProductCertificates__30__metadata.json new file mode 100644 index 00000000..fe408817 --- /dev/null +++ b/metadata/ChildrenProductCertificates__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "ChildrenProductCertificates", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Children Product Certificates. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/children-product-certificates-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "ChildrenProductCertificates", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "children_product_certificates" + } + ] +} diff --git a/metadata/DocumentClassifier__42__metadata.json b/metadata/DocumentClassifier__42__metadata.json new file mode 100644 index 00000000..84aa4bb0 --- /dev/null +++ b/metadata/DocumentClassifier__42__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.7", + "imagePath": "du-ml-document-type-text-classifier:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentClassifier__43__metadata.json b/metadata/DocumentClassifier__43__metadata.json new file mode 100644 index 00000000..fb6aacfc --- /dev/null +++ b/metadata/DocumentClassifier__43__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Generic Machine Learning package for document classification. Use this package to create custom document classification Machine Learning models.", + "displayName": "DocumentClassifier", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Classifier activity in the Official feed. File formats accepted include pdf, tiff, jpg or png files. The activity also requires an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "DocumentClassifier", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectId": "[project-id]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.1", + "imagePath": "du-ml-document-type-text-classifier:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" +} diff --git a/metadata/DocumentUnderstanding__51__metadata.json b/metadata/DocumentUnderstanding__51__metadata.json new file mode 100644 index 00000000..fd7a2c1e --- /dev/null +++ b/metadata/DocumentUnderstanding__51__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 51, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/DocumentUnderstanding__52__metadata.json b/metadata/DocumentUnderstanding__52__metadata.json new file mode 100644 index 00000000..f1dc8589 --- /dev/null +++ b/metadata/DocumentUnderstanding__52__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "DocumentUnderstanding", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Semi-structured or Structured documents, including regular fields, table columns and classification fields. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "DocumentUnderstanding", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 52, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "du" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__29__metadata.json b/metadata/EUDeclarationOfConformity__29__metadata.json new file mode 100644 index 00000000..6a85fd32 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/EUDeclarationOfConformity__30__metadata.json b/metadata/EUDeclarationOfConformity__30__metadata.json new file mode 100644 index 00000000..2a9bb892 --- /dev/null +++ b/metadata/EUDeclarationOfConformity__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "EUDeclarationOfConformity", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from EU Declaration of Conformity. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/eu-declaration-conformity-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accpted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "EUDeclarationOfConformity", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "eu_declaration_conformity" + } + ] +} diff --git a/metadata/FM1003__42__metadata.json b/metadata/FM1003__42__metadata.json new file mode 100644 index 00000000..2584eca3 --- /dev/null +++ b/metadata/FM1003__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FM1003__43__metadata.json b/metadata/FM1003__43__metadata.json new file mode 100644 index 00000000..272a77bf --- /dev/null +++ b/metadata/FM1003__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "FM1003", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from FM1003 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "FM1003", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "fm1003" + } + ] +} diff --git a/metadata/FinancialStatements__40__metadata.json b/metadata/FinancialStatements__40__metadata.json new file mode 100644 index 00000000..667e695d --- /dev/null +++ b/metadata/FinancialStatements__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/FinancialStatements__41__metadata.json b/metadata/FinancialStatements__41__metadata.json new file mode 100644 index 00000000..73eceae6 --- /dev/null +++ b/metadata/FinancialStatements__41__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "FinancialStatements", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Financial Statements, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "FinancialStatements", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "financial_statements" + } + ] +} diff --git a/metadata/I9__42__metadata.json b/metadata/I9__42__metadata.json new file mode 100644 index 00000000..3235c928 --- /dev/null +++ b/metadata/I9__42__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/I9__43__metadata.json b/metadata/I9__43__metadata.json new file mode 100644 index 00000000..1d842a10 --- /dev/null +++ b/metadata/I9__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "I9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from I9 documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "I9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "i9" + } + ] +} diff --git a/metadata/IDCards__44__metadata.json b/metadata/IDCards__44__metadata.json new file mode 100644 index 00000000..9419b347 --- /dev/null +++ b/metadata/IDCards__44__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IDCards__45__metadata.json b/metadata/IDCards__45__metadata.json new file mode 100644 index 00000000..f9af8abc --- /dev/null +++ b/metadata/IDCards__45__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from ID-Cards, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "IDCards", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "IDCards", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "id_cards" + } + ] +} diff --git a/metadata/IndianInvoices__50__metadata.json b/metadata/IndianInvoices__50__metadata.json new file mode 100644 index 00000000..a2e21594 --- /dev/null +++ b/metadata/IndianInvoices__50__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 50, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/IndianInvoices__51__metadata.json b/metadata/IndianInvoices__51__metadata.json new file mode 100644 index 00000000..1f8be56e --- /dev/null +++ b/metadata/IndianInvoices__51__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "IndianInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from India, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "IndianInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 51, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_india" + } + ] +} diff --git a/metadata/InvoicesChina__43__metadata.json b/metadata/InvoicesChina__43__metadata.json new file mode 100644 index 00000000..bce8ec22 --- /dev/null +++ b/metadata/InvoicesChina__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesChina__44__metadata.json b/metadata/InvoicesChina__44__metadata.json new file mode 100644 index 00000000..2b2ad4d7 --- /dev/null +++ b/metadata/InvoicesChina__44__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesChina", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Chinese Invoices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesChina", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_china" + } + ] +} diff --git a/metadata/InvoicesHebrew__8__metadata.json b/metadata/InvoicesHebrew__8__metadata.json new file mode 100644 index 00000000..39b00282 --- /dev/null +++ b/metadata/InvoicesHebrew__8__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 8, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesHebrew__9__metadata.json b/metadata/InvoicesHebrew__9__metadata.json new file mode 100644 index 00000000..b037ac4b --- /dev/null +++ b/metadata/InvoicesHebrew__9__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesHebrew", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from Hebrew Invoices documents, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesHebrew", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 9, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_hebrew" + } + ] +} diff --git a/metadata/InvoicesShipping__29__metadata.json b/metadata/InvoicesShipping__29__metadata.json new file mode 100644 index 00000000..882d0aa6 --- /dev/null +++ b/metadata/InvoicesShipping__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/InvoicesShipping__30__metadata.json b/metadata/InvoicesShipping__30__metadata.json new file mode 100644 index 00000000..1fee2ed7 --- /dev/null +++ b/metadata/InvoicesShipping__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "InvoicesShipping", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices Shipping. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/invoices-shipping-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "InvoicesShipping", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_shipping" + } + ] +} diff --git a/metadata/Invoices__51__metadata.json b/metadata/Invoices__51__metadata.json new file mode 100644 index 00000000..6c0e3feb --- /dev/null +++ b/metadata/Invoices__51__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 51, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/Invoices__52__metadata.json b/metadata/Invoices__52__metadata.json new file mode 100644 index 00000000..1833ffc4 --- /dev/null +++ b/metadata/Invoices__52__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "Invoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "Invoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 52, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices" + } + ] +} diff --git a/metadata/JapaneseInvoices__48__metadata.json b/metadata/JapaneseInvoices__48__metadata.json new file mode 100644 index 00000000..7e6d4d7d --- /dev/null +++ b/metadata/JapaneseInvoices__48__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 48, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/JapaneseInvoices__49__metadata.json b/metadata/JapaneseInvoices__49__metadata.json new file mode 100644 index 00000000..a61a8c05 --- /dev/null +++ b/metadata/JapaneseInvoices__49__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "JapaneseInvoices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Invoices from Japan, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. Only Google Cloud Vision OCR is supported for training or serving this model. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "JapaneseInvoices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 49, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "invoices_japan" + } + ] +} diff --git a/metadata/PackingLists__40__metadata.json b/metadata/PackingLists__40__metadata.json new file mode 100644 index 00000000..9964c2ee --- /dev/null +++ b/metadata/PackingLists__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/PackingLists__41__metadata.json b/metadata/PackingLists__41__metadata.json new file mode 100644 index 00000000..37109cee --- /dev/null +++ b/metadata/PackingLists__41__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "PackingLists", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Packing Lists, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "PackingLists", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "packing_lists" + } + ] +} diff --git a/metadata/Passports__44__metadata.json b/metadata/Passports__44__metadata.json new file mode 100644 index 00000000..81b111d4 --- /dev/null +++ b/metadata/Passports__44__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Passports__45__metadata.json b/metadata/Passports__45__metadata.json new file mode 100644 index 00000000..9c7b0f6f --- /dev/null +++ b/metadata/Passports__45__metadata.json @@ -0,0 +1,33 @@ +{ + "changeLog": "", + "cpu": 1, + "description": "Machine Learning model for extracting commonly occurring data points from Passports, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "displayName": "Passports", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "Passports", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": true, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 45, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "passports" + } + ] +} diff --git a/metadata/Payslips__29__metadata.json b/metadata/Payslips__29__metadata.json new file mode 100644 index 00000000..3fd71618 --- /dev/null +++ b/metadata/Payslips__29__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 29, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/Payslips__30__metadata.json b/metadata/Payslips__30__metadata.json new file mode 100644 index 00000000..3f0bffcf --- /dev/null +++ b/metadata/Payslips__30__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Payslips", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Payslips. See the documentation page for this model for more details https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/payslips-ml-package", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. Accepted file formats: pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Payslips", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 30, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "payslips" + } + ] +} diff --git a/metadata/PurchaseOrders__50__metadata.json b/metadata/PurchaseOrders__50__metadata.json new file mode 100644 index 00000000..3ef2ccb5 --- /dev/null +++ b/metadata/PurchaseOrders__50__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 50, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/PurchaseOrders__51__metadata.json b/metadata/PurchaseOrders__51__metadata.json new file mode 100644 index 00000000..93429aa5 --- /dev/null +++ b/metadata/PurchaseOrders__51__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "PurchaseOrders", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Purchase Orders, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "PurchaseOrders", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 51, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "purchase_orders" + } + ] +} diff --git a/metadata/Receipts__51__metadata.json b/metadata/Receipts__51__metadata.json new file mode 100644 index 00000000..06c695fd --- /dev/null +++ b/metadata/Receipts__51__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 51, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/Receipts__52__metadata.json b/metadata/Receipts__52__metadata.json new file mode 100644 index 00000000..12a1a030 --- /dev/null +++ b/metadata/Receipts__52__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "Receipts", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Receipts, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "Receipts", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 52, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "receipts" + } + ] +} diff --git a/metadata/RemittanceAdvices__43__metadata.json b/metadata/RemittanceAdvices__43__metadata.json new file mode 100644 index 00000000..e67bf1b5 --- /dev/null +++ b/metadata/RemittanceAdvices__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/RemittanceAdvices__44__metadata.json b/metadata/RemittanceAdvices__44__metadata.json new file mode 100644 index 00000000..f63efd30 --- /dev/null +++ b/metadata/RemittanceAdvices__44__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "RemittanceAdvices", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Remittance Advices, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "RemittanceAdvices", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "remittance_advices" + } + ] +} diff --git a/metadata/UB04__17__metadata.json b/metadata/UB04__17__metadata.json new file mode 100644 index 00000000..117cd97f --- /dev/null +++ b/metadata/UB04__17__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 17, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UB04__18__metadata.json b/metadata/UB04__18__metadata.json new file mode 100644 index 00000000..a400a3c7 --- /dev/null +++ b/metadata/UB04__18__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UB04", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model (available in Preview) for extracting commonly occurring data points from UB04. Please see more details including supported languages and sample documents in the official documentation page for Pre-trained Out of the Box models: https://docs.uipath.com/document-understanding/automation-cloud/latest/user-guide/out-of-the-box-pre-trained-ml-packages.", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UB04", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 18, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "ub04" + } + ] +} diff --git a/metadata/UiPathDocumentOCR_CPU__36__metadata.json b/metadata/UiPathDocumentOCR_CPU__36__metadata.json new file mode 100644 index 00000000..b105f0d6 --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__36__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 36, + "customVersion": "24.10.7", + "imagePath": "du-doc-ocr-cpu:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR_CPU__37__metadata.json b/metadata/UiPathDocumentOCR_CPU__37__metadata.json new file mode 100644 index 00000000..4046b99e --- /dev/null +++ b/metadata/UiPathDocumentOCR_CPU__37__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR_CPU", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR_CPU", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "CPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 37, + "customVersion": "25.10.1", + "imagePath": "du-doc-ocr-cpu:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__42__metadata.json b/metadata/UiPathDocumentOCR__42__metadata.json new file mode 100644 index 00000000..ea665620 --- /dev/null +++ b/metadata/UiPathDocumentOCR__42__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 42, + "customVersion": "24.10.7", + "imagePath": "du-doc-ocr:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UiPathDocumentOCR__43__metadata.json b/metadata/UiPathDocumentOCR__43__metadata.json new file mode 100644 index 00000000..71b09222 --- /dev/null +++ b/metadata/UiPathDocumentOCR__43__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "", + "cpu": 0, + "description": "Machine Learning model for extracting text and checkboxes/radio buttons from Documents. Please see more details including supported languages and link to Activities guide in the Document Understanding Guide here: https://docs.uipath.com/document-understanding/v2021.4/docs/ml-packages#uipath-document-ocr. For alternative deployment methods in high-volume scenarios see also this page: https://docs.uipath.com/document-understanding/v2021.4/docs/ocr-services", + "displayName": "UiPathDocumentOCR", + "gpu": 0, + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the UiPath Document OCR activity from OCR.Activities pack in the Official feed. File formats accepted include pdf, tiff, jpg or png files. In non-airgapped deployments, the activity requires the Document Understanding API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "name": "UiPathDocumentOCR", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "25.10.1", + "imagePath": "du-doc-ocr:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" +} diff --git a/metadata/UtilityBills__50__metadata.json b/metadata/UtilityBills__50__metadata.json new file mode 100644 index 00000000..4c9979fb --- /dev/null +++ b/metadata/UtilityBills__50__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 50, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/UtilityBills__51__metadata.json b/metadata/UtilityBills__51__metadata.json new file mode 100644 index 00000000..cec6c961 --- /dev/null +++ b/metadata/UtilityBills__51__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "UtilityBills", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Utility Bills. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "UtilityBills", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 51, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "utility_bills" + } + ] +} diff --git a/metadata/VehicleTitles__40__metadata.json b/metadata/VehicleTitles__40__metadata.json new file mode 100644 index 00000000..4b6cbb58 --- /dev/null +++ b/metadata/VehicleTitles__40__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 40, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/VehicleTitles__41__metadata.json b/metadata/VehicleTitles__41__metadata.json new file mode 100644 index 00000000..164789e8 --- /dev/null +++ b/metadata/VehicleTitles__41__metadata.json @@ -0,0 +1,32 @@ +{ + "name": "VehicleTitles", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from Vehicle Titles, including header fields and line items. Please see more details including supported languages in the ML Packages section of the Document Understanding Guide: https://docs.uipath.com/document-understanding/docs/ml-packages", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "cpu": 1, + "inputType": "JSON", + "displayName": "VehicleTitles", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 41, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "vehicle_titles" + } + ] +} diff --git a/metadata/W2__43__metadata.json b/metadata/W2__43__metadata.json new file mode 100644 index 00000000..d43d2a75 --- /dev/null +++ b/metadata/W2__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W2__44__metadata.json b/metadata/W2__44__metadata.json new file mode 100644 index 00000000..e1509544 --- /dev/null +++ b/metadata/W2__44__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W2", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W2s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W2", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w2" + } + ] +} diff --git a/metadata/W9__43__metadata.json b/metadata/W9__43__metadata.json new file mode 100644 index 00000000..c5cf324b --- /dev/null +++ b/metadata/W9__43__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 43, + "customVersion": "24.10.7", + "imagePath": "du-semistructured:v24.10-11.13-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} diff --git a/metadata/W9__44__metadata.json b/metadata/W9__44__metadata.json new file mode 100644 index 00000000..e8701ce5 --- /dev/null +++ b/metadata/W9__44__metadata.json @@ -0,0 +1,33 @@ +{ + "name": "W9", + "retrainable": true, + "gpu": 0, + "processorType": "CPU", + "description": "Machine Learning model for extracting commonly occurring data points from W9s, including header fields and line items. Please see more details including supported languages and link to Activities guide in the About Licensing -> Document Understanding API Key section of the UiPath Automation Cloud Guide here: https://docs.uipath.com/automation-cloud/docs/about-licensing#section-document-understanding-api-key", + "inputDescription": "ML Skills deployed using this ML Package can be integrated into RPA workflows using the Machine Learning Extractor activity in the Official feed or the MLModel activity in Connect feed. File formats accepted include pdf, tiff, jpg or png files. The activities also require an API Key input which you need to obtain from your UiPath Automation Cloud account, in the Licenses -> Other Services view.", + "outputDescription": "Please refer to the documentation of the Activity used to query the ML Skill.", + "changeLog": "", + "cpu": 1, + "inputType": "JSON", + "displayName": "W9", + "memory": 0, + "mlPackageLanguage": "PYTHON37_DU", + "projectId": "[project-id]", + "stagingUri": "[staging-uri]", + "projectName": "UiPath Document Understanding", + "projectDescription": "UiPath models to classify and extract information from images and pdfs.", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 4, + "version": 44, + "customVersion": "25.10.1", + "imagePath": "du-semistructured:v25.10-11.12-rc03", + "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", + "settings": [ + { + "key": "package_type", + "type": "STRING", + "value": "w9" + } + ] +} From 0806fdeaed2b50a3aa3998358cce1d2136a345cc Mon Sep 17 00:00:00 2001 From: mihairaduvlad Date: Fri, 21 Nov 2025 16:20:38 +0200 Subject: [PATCH 260/267] [CV]: Update cv versions for 24.10 and 25.10 (#489) --- .../ComputerVision__125100002__metadata.json | 26 +++++++++++++++++++ ... ComputerVision__224100006__metadata.json} | 8 +++--- 2 files changed, 30 insertions(+), 4 deletions(-) create mode 100644 metadata/ComputerVision__125100002__metadata.json rename metadata/{ComputerVision__224100002__metadata.json => ComputerVision__224100006__metadata.json} (91%) diff --git a/metadata/ComputerVision__125100002__metadata.json b/metadata/ComputerVision__125100002__metadata.json new file mode 100644 index 00000000..01ae785b --- /dev/null +++ b/metadata/ComputerVision__125100002__metadata.json @@ -0,0 +1,26 @@ +{ + "changeLog": "Release v2025.10.1", + "cpu": 0, + "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "displayName": "ComputerVision", + "gpu": 1, + "inputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "inputType": "JSON", + "memory": 0, + "mlPackageLanguage": "PYTHON36_CV", + "name": "ComputerVision", + "outputDescription": "Please use the Computer Vision Activities included in the UIAutomation package. For more information please visit the official documentation. https://docs.uipath.com/activities/other/latest/ui-automation/computer-vision-activities ", + "processorType": "GPU", + "projectId": "[project-id]", + "retrainable": false, + "stagingUri": "[staging-uri]", + "projectName": "UiPath Computer Vision", + "projectDescription": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", + "tenantName": "UiPath", + "minAIFabricVersion": "22.10", + "languageVersion": 3, + "version": 125100002, + "customVersion": "25.10.1", + "imagePath": "cv2510:25.10.0.2", + "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" + } diff --git a/metadata/ComputerVision__224100002__metadata.json b/metadata/ComputerVision__224100006__metadata.json similarity index 91% rename from metadata/ComputerVision__224100002__metadata.json rename to metadata/ComputerVision__224100006__metadata.json index c84a9506..20c2aa39 100644 --- a/metadata/ComputerVision__224100002__metadata.json +++ b/metadata/ComputerVision__224100006__metadata.json @@ -1,5 +1,5 @@ { - "changeLog": "Release v2023.10.9", + "changeLog": "Release v2024.10.7", "cpu": 0, "description": "Backend server for the AI Computer Vision solution that detects User Interface Elements from a provided Application screenshot", "displayName": "ComputerVision", @@ -19,8 +19,8 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 224100002, - "customVersion": "23.10.7.1", - "imagePath": "cv2410:24.10.0.2", + "version": 224100006, + "customVersion": "24.10.7", + "imagePath": "cv2410:24.10.0.6", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}" } From 279d2614f02353ef6e0582e119b6b6c60e5b63bf Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Sun, 23 Nov 2025 23:44:02 +0200 Subject: [PATCH 261/267] Pushing metadatas (#488) Co-authored-by: du-app-bot --- metadata/1040ScheduleC__17__metadata.json | 2 +- metadata/1040ScheduleD__17__metadata.json | 2 +- metadata/1040ScheduleE__17__metadata.json | 2 +- metadata/1040__40__metadata.json | 2 +- metadata/1040x__8__metadata.json | 2 +- metadata/3949a__8__metadata.json | 2 +- metadata/4506T__42__metadata.json | 2 +- metadata/709__8__metadata.json | 2 +- metadata/941x__8__metadata.json | 2 +- metadata/9465__8__metadata.json | 2 +- metadata/Acord125__42__metadata.json | 2 +- metadata/Acord126__40__metadata.json | 2 +- metadata/Acord131__40__metadata.json | 2 +- metadata/Acord140__40__metadata.json | 2 +- metadata/Acord25__40__metadata.json | 2 +- metadata/BankStatements__40__metadata.json | 2 +- metadata/BillsOfLading__40__metadata.json | 2 +- metadata/CMS1500__29__metadata.json | 2 +- metadata/CertificatesOfIncorporation__29__metadata.json | 2 +- metadata/CertificatesOfOrigin__29__metadata.json | 2 +- metadata/Checks__40__metadata.json | 2 +- metadata/ChildrenProductCertificates__29__metadata.json | 2 +- metadata/DocumentClassifier__42__metadata.json | 2 +- metadata/DocumentUnderstanding__51__metadata.json | 2 +- metadata/EUDeclarationOfConformity__29__metadata.json | 2 +- metadata/FM1003__42__metadata.json | 2 +- metadata/FinancialStatements__40__metadata.json | 2 +- metadata/I9__42__metadata.json | 2 +- metadata/IDCards__44__metadata.json | 2 +- metadata/IndianInvoices__50__metadata.json | 2 +- metadata/InvoicesChina__43__metadata.json | 2 +- metadata/InvoicesHebrew__8__metadata.json | 2 +- metadata/InvoicesShipping__29__metadata.json | 2 +- metadata/Invoices__51__metadata.json | 2 +- metadata/JapaneseInvoices__48__metadata.json | 2 +- metadata/PackingLists__40__metadata.json | 2 +- metadata/Passports__44__metadata.json | 2 +- metadata/Payslips__29__metadata.json | 2 +- metadata/PurchaseOrders__50__metadata.json | 2 +- metadata/Receipts__51__metadata.json | 2 +- metadata/RemittanceAdvices__43__metadata.json | 2 +- metadata/UB04__17__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__36__metadata.json | 2 +- metadata/UiPathDocumentOCR__42__metadata.json | 2 +- metadata/UtilityBills__50__metadata.json | 2 +- metadata/VehicleTitles__40__metadata.json | 2 +- metadata/W2__43__metadata.json | 2 +- metadata/W9__43__metadata.json | 2 +- 48 files changed, 48 insertions(+), 48 deletions(-) diff --git a/metadata/1040ScheduleC__17__metadata.json b/metadata/1040ScheduleC__17__metadata.json index dd561636..3d71e0d5 100644 --- a/metadata/1040ScheduleC__17__metadata.json +++ b/metadata/1040ScheduleC__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__17__metadata.json b/metadata/1040ScheduleD__17__metadata.json index 8842be82..88b0813c 100644 --- a/metadata/1040ScheduleD__17__metadata.json +++ b/metadata/1040ScheduleD__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__17__metadata.json b/metadata/1040ScheduleE__17__metadata.json index 7881a511..4c928790 100644 --- a/metadata/1040ScheduleE__17__metadata.json +++ b/metadata/1040ScheduleE__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__40__metadata.json b/metadata/1040__40__metadata.json index ae19676d..b991ebc7 100644 --- a/metadata/1040__40__metadata.json +++ b/metadata/1040__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__8__metadata.json b/metadata/1040x__8__metadata.json index 1b297599..5e82bf52 100644 --- a/metadata/1040x__8__metadata.json +++ b/metadata/1040x__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__8__metadata.json b/metadata/3949a__8__metadata.json index 2db0b87f..f934302c 100644 --- a/metadata/3949a__8__metadata.json +++ b/metadata/3949a__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__42__metadata.json b/metadata/4506T__42__metadata.json index 5fe88043..6491458b 100644 --- a/metadata/4506T__42__metadata.json +++ b/metadata/4506T__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__8__metadata.json b/metadata/709__8__metadata.json index 67a3d304..1c9fe130 100644 --- a/metadata/709__8__metadata.json +++ b/metadata/709__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__8__metadata.json b/metadata/941x__8__metadata.json index f171f8d4..7dbd3f5e 100644 --- a/metadata/941x__8__metadata.json +++ b/metadata/941x__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__8__metadata.json b/metadata/9465__8__metadata.json index b2193828..f39f9861 100644 --- a/metadata/9465__8__metadata.json +++ b/metadata/9465__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__42__metadata.json b/metadata/Acord125__42__metadata.json index 45f61dff..c6aa85b6 100644 --- a/metadata/Acord125__42__metadata.json +++ b/metadata/Acord125__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__40__metadata.json b/metadata/Acord126__40__metadata.json index 6c6e651c..81436eb1 100644 --- a/metadata/Acord126__40__metadata.json +++ b/metadata/Acord126__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__40__metadata.json b/metadata/Acord131__40__metadata.json index c975736c..ae00bd81 100644 --- a/metadata/Acord131__40__metadata.json +++ b/metadata/Acord131__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__40__metadata.json b/metadata/Acord140__40__metadata.json index 16691e6c..f563a665 100644 --- a/metadata/Acord140__40__metadata.json +++ b/metadata/Acord140__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__40__metadata.json b/metadata/Acord25__40__metadata.json index 023d7325..17d56b3e 100644 --- a/metadata/Acord25__40__metadata.json +++ b/metadata/Acord25__40__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__40__metadata.json b/metadata/BankStatements__40__metadata.json index 848c6369..c6615412 100644 --- a/metadata/BankStatements__40__metadata.json +++ b/metadata/BankStatements__40__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__40__metadata.json b/metadata/BillsOfLading__40__metadata.json index e80a69b4..928b4fb9 100644 --- a/metadata/BillsOfLading__40__metadata.json +++ b/metadata/BillsOfLading__40__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__29__metadata.json b/metadata/CMS1500__29__metadata.json index 440e11ad..49781358 100644 --- a/metadata/CMS1500__29__metadata.json +++ b/metadata/CMS1500__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__29__metadata.json b/metadata/CertificatesOfIncorporation__29__metadata.json index ad98a0dc..0c42ba26 100644 --- a/metadata/CertificatesOfIncorporation__29__metadata.json +++ b/metadata/CertificatesOfIncorporation__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__29__metadata.json b/metadata/CertificatesOfOrigin__29__metadata.json index fd889576..49a8d48c 100644 --- a/metadata/CertificatesOfOrigin__29__metadata.json +++ b/metadata/CertificatesOfOrigin__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__40__metadata.json b/metadata/Checks__40__metadata.json index 59ffb3ef..d5bd9bcd 100644 --- a/metadata/Checks__40__metadata.json +++ b/metadata/Checks__40__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__29__metadata.json b/metadata/ChildrenProductCertificates__29__metadata.json index 13a3a827..2b25a6bf 100644 --- a/metadata/ChildrenProductCertificates__29__metadata.json +++ b/metadata/ChildrenProductCertificates__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__42__metadata.json b/metadata/DocumentClassifier__42__metadata.json index 84aa4bb0..7241df1d 100644 --- a/metadata/DocumentClassifier__42__metadata.json +++ b/metadata/DocumentClassifier__42__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.7", - "imagePath": "du-ml-document-type-text-classifier:v24.10-11.13-rc03", + "imagePath": "du-ml-document-type-text-classifier:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__51__metadata.json b/metadata/DocumentUnderstanding__51__metadata.json index fd7a2c1e..4c55fa3a 100644 --- a/metadata/DocumentUnderstanding__51__metadata.json +++ b/metadata/DocumentUnderstanding__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__29__metadata.json b/metadata/EUDeclarationOfConformity__29__metadata.json index 6a85fd32..95c7c23e 100644 --- a/metadata/EUDeclarationOfConformity__29__metadata.json +++ b/metadata/EUDeclarationOfConformity__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__42__metadata.json b/metadata/FM1003__42__metadata.json index 2584eca3..433196c9 100644 --- a/metadata/FM1003__42__metadata.json +++ b/metadata/FM1003__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__40__metadata.json b/metadata/FinancialStatements__40__metadata.json index 667e695d..8ce6b152 100644 --- a/metadata/FinancialStatements__40__metadata.json +++ b/metadata/FinancialStatements__40__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__42__metadata.json b/metadata/I9__42__metadata.json index 3235c928..0b568e9a 100644 --- a/metadata/I9__42__metadata.json +++ b/metadata/I9__42__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__44__metadata.json b/metadata/IDCards__44__metadata.json index 9419b347..74fc9db3 100644 --- a/metadata/IDCards__44__metadata.json +++ b/metadata/IDCards__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__50__metadata.json b/metadata/IndianInvoices__50__metadata.json index a2e21594..5016e5b0 100644 --- a/metadata/IndianInvoices__50__metadata.json +++ b/metadata/IndianInvoices__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__43__metadata.json b/metadata/InvoicesChina__43__metadata.json index bce8ec22..6bd3aeeb 100644 --- a/metadata/InvoicesChina__43__metadata.json +++ b/metadata/InvoicesChina__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__8__metadata.json b/metadata/InvoicesHebrew__8__metadata.json index 39b00282..d51394e8 100644 --- a/metadata/InvoicesHebrew__8__metadata.json +++ b/metadata/InvoicesHebrew__8__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 8, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__29__metadata.json b/metadata/InvoicesShipping__29__metadata.json index 882d0aa6..b40a0a7d 100644 --- a/metadata/InvoicesShipping__29__metadata.json +++ b/metadata/InvoicesShipping__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__51__metadata.json b/metadata/Invoices__51__metadata.json index 6c0e3feb..2f5cf0dd 100644 --- a/metadata/Invoices__51__metadata.json +++ b/metadata/Invoices__51__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 51, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__48__metadata.json b/metadata/JapaneseInvoices__48__metadata.json index 7e6d4d7d..2270d017 100644 --- a/metadata/JapaneseInvoices__48__metadata.json +++ b/metadata/JapaneseInvoices__48__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 48, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__40__metadata.json b/metadata/PackingLists__40__metadata.json index 9964c2ee..ec74f480 100644 --- a/metadata/PackingLists__40__metadata.json +++ b/metadata/PackingLists__40__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__44__metadata.json b/metadata/Passports__44__metadata.json index 81b111d4..bb9ff187 100644 --- a/metadata/Passports__44__metadata.json +++ b/metadata/Passports__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__29__metadata.json b/metadata/Payslips__29__metadata.json index 3fd71618..a98a14d9 100644 --- a/metadata/Payslips__29__metadata.json +++ b/metadata/Payslips__29__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 29, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__50__metadata.json b/metadata/PurchaseOrders__50__metadata.json index 3ef2ccb5..57caba5a 100644 --- a/metadata/PurchaseOrders__50__metadata.json +++ b/metadata/PurchaseOrders__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__51__metadata.json b/metadata/Receipts__51__metadata.json index 06c695fd..c5d83059 100644 --- a/metadata/Receipts__51__metadata.json +++ b/metadata/Receipts__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__43__metadata.json b/metadata/RemittanceAdvices__43__metadata.json index e67bf1b5..ffb7706a 100644 --- a/metadata/RemittanceAdvices__43__metadata.json +++ b/metadata/RemittanceAdvices__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__17__metadata.json b/metadata/UB04__17__metadata.json index 117cd97f..8fa8a8f1 100644 --- a/metadata/UB04__17__metadata.json +++ b/metadata/UB04__17__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 17, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__36__metadata.json b/metadata/UiPathDocumentOCR_CPU__36__metadata.json index b105f0d6..9b245340 100644 --- a/metadata/UiPathDocumentOCR_CPU__36__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__36__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 36, "customVersion": "24.10.7", - "imagePath": "du-doc-ocr-cpu:v24.10-11.13-rc03", + "imagePath": "du-doc-ocr-cpu:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__42__metadata.json b/metadata/UiPathDocumentOCR__42__metadata.json index ea665620..78acba3b 100644 --- a/metadata/UiPathDocumentOCR__42__metadata.json +++ b/metadata/UiPathDocumentOCR__42__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 42, "customVersion": "24.10.7", - "imagePath": "du-doc-ocr:v24.10-11.13-rc03", + "imagePath": "du-doc-ocr:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__50__metadata.json b/metadata/UtilityBills__50__metadata.json index 4c9979fb..93ee6e6f 100644 --- a/metadata/UtilityBills__50__metadata.json +++ b/metadata/UtilityBills__50__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 50, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__40__metadata.json b/metadata/VehicleTitles__40__metadata.json index 4b6cbb58..8f312b5f 100644 --- a/metadata/VehicleTitles__40__metadata.json +++ b/metadata/VehicleTitles__40__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 40, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__43__metadata.json b/metadata/W2__43__metadata.json index d43d2a75..130982e3 100644 --- a/metadata/W2__43__metadata.json +++ b/metadata/W2__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__43__metadata.json b/metadata/W9__43__metadata.json index c5cf324b..f4a16e27 100644 --- a/metadata/W9__43__metadata.json +++ b/metadata/W9__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "24.10.7", - "imagePath": "du-semistructured:v24.10-11.13-rc03", + "imagePath": "du-semistructured:v24.10-11.18-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From bd8d056b082360f706da5ed47923a0bad671aada Mon Sep 17 00:00:00 2001 From: sorin-bolos Date: Mon, 24 Nov 2025 15:32:11 +0200 Subject: [PATCH 262/267] Add version limits for python39 models --- metadata/LightTextClassification__3__metadata.json | 3 ++- metadata/LightTextClassification__4__metadata.json | 3 ++- metadata/LightTextClassification__5__metadata.json | 3 ++- metadata/LightTextClassification__7__metadata.json | 3 ++- metadata/LightTextClassification__8__metadata.json | 4 ++-- metadata/MultiLingualTextClassification__3__metadata.json | 3 ++- metadata/MultiLingualTextClassification__4__metadata.json | 3 ++- metadata/MultiLingualTextClassification__5__metadata.json | 3 ++- metadata/MultiLingualTextClassification__6__metadata.json | 4 ++-- 9 files changed, 18 insertions(+), 11 deletions(-) diff --git a/metadata/LightTextClassification__3__metadata.json b/metadata/LightTextClassification__3__metadata.json index ca0644ff..f4edb36e 100644 --- a/metadata/LightTextClassification__3__metadata.json +++ b/metadata/LightTextClassification__3__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "model 22.4.0", + "changeLog": "model 22.4.0. Available up until AS v2024.10.6 and v2025.10.0", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", @@ -18,6 +18,7 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.4", + "maxAIFabricVersion": "v25.10", "version": 3, "contentUri": "https:///publicmodels/AIC/LightTextClassification/3/bow_text_classifier_package.zip" } diff --git a/metadata/LightTextClassification__4__metadata.json b/metadata/LightTextClassification__4__metadata.json index aec74827..4a05d435 100644 --- a/metadata/LightTextClassification__4__metadata.json +++ b/metadata/LightTextClassification__4__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "model 22.6.0", + "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", @@ -18,6 +18,7 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.4", + "maxAIFabricVersion": "v25.10", "version": 4, "contentUri": "https:///publicmodels/AIC/LightTextClassification/4/bow_text_classifier_package.zip" } diff --git a/metadata/LightTextClassification__5__metadata.json b/metadata/LightTextClassification__5__metadata.json index 32c70e60..44f7babf 100644 --- a/metadata/LightTextClassification__5__metadata.json +++ b/metadata/LightTextClassification__5__metadata.json @@ -6,7 +6,7 @@ "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "model 22.6.0", + "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", @@ -18,6 +18,7 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.4", + "maxAIFabricVersion": "v25.10", "version": 4, "customVersion": "23.10.3", "contentUri": "https:///publicmodels/AIC/LightTextClassification/23.10.3/bow_text_classifier_package.zip" diff --git a/metadata/LightTextClassification__7__metadata.json b/metadata/LightTextClassification__7__metadata.json index 135b9455..c838e87e 100644 --- a/metadata/LightTextClassification__7__metadata.json +++ b/metadata/LightTextClassification__7__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "Fix dependency bug and move to Python39", + "changeLog": "Fix dependency bug and move to Python39. Available up until AS v2024.10.6 and v2025.10.0", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", @@ -18,6 +18,7 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.4", + "maxAIFabricVersion": "v25.10", "version": 7, "customVersion": "23.10.3", "contentUri": "https:///publicmodels/AIC/LightTextClassification/23.10.3/bow_text_classifier_package.zip" diff --git a/metadata/LightTextClassification__8__metadata.json b/metadata/LightTextClassification__8__metadata.json index 63ffe2d2..bfa835ab 100644 --- a/metadata/LightTextClassification__8__metadata.json +++ b/metadata/LightTextClassification__8__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "Move to Python3.12", + "changeLog": "Move to Python3.12. Available from AS v2024.10.7 and v2025.10.1", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", @@ -17,7 +17,7 @@ "projectName": "UiPath Language Analysis", "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", - "minAIFabricVersion": "v23.10", + "minAIFabricVersion": "v24.10", "version": 8, "customVersion": "25.9.0", "contentUri": "https:///publicmodels/AIC/LightTextClassification/25.9.0/bow_text_classifier_package.zip" diff --git a/metadata/MultiLingualTextClassification__3__metadata.json b/metadata/MultiLingualTextClassification__3__metadata.json index fc9d0574..73bf680a 100644 --- a/metadata/MultiLingualTextClassification__3__metadata.json +++ b/metadata/MultiLingualTextClassification__3__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "model 22.4.0", + "changeLog": "model 22.4.0. Available up until AS v2024.10.6 and v2025.10.0", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", @@ -18,6 +18,7 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.40", + "maxAIFabricVersion": "v25.10", "version": 3, "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/3/bert_text_classifier_package.zip" } \ No newline at end of file diff --git a/metadata/MultiLingualTextClassification__4__metadata.json b/metadata/MultiLingualTextClassification__4__metadata.json index a477981c..5f887279 100644 --- a/metadata/MultiLingualTextClassification__4__metadata.json +++ b/metadata/MultiLingualTextClassification__4__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "model 22.6.0", + "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", @@ -18,6 +18,7 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.40", + "maxAIFabricVersion": "v25.10", "version": 4, "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/4/bert_text_classifier_package.zip" } \ No newline at end of file diff --git a/metadata/MultiLingualTextClassification__5__metadata.json b/metadata/MultiLingualTextClassification__5__metadata.json index 4056e485..a862c717 100644 --- a/metadata/MultiLingualTextClassification__5__metadata.json +++ b/metadata/MultiLingualTextClassification__5__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "model 22.6.0", + "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", @@ -18,6 +18,7 @@ "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", "minAIFabricVersion": "v22.40", + "maxAIFabricVersion": "v25.10", "version": 5, "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/5/bert_text_classifier_package.zip" } \ No newline at end of file diff --git a/metadata/MultiLingualTextClassification__6__metadata.json b/metadata/MultiLingualTextClassification__6__metadata.json index 862ea6fa..9da91f0e 100644 --- a/metadata/MultiLingualTextClassification__6__metadata.json +++ b/metadata/MultiLingualTextClassification__6__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "Move to Python3.12", + "changeLog": "Move to Python3.12. Available from AS v2024.10.7 and v2025.10.1", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", @@ -17,7 +17,7 @@ "projectName": "UiPath Language Analysis", "projectDescription": "Curated Models from UiPath to analyze language in Emails, Documents, Web Pages, Text Messages, Portals and more", "tenantName": "UiPath", - "minAIFabricVersion": "v23.10", + "minAIFabricVersion": "v24.10", "version": 6, "customVersion": "25.9.0", "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/25.9.0/bert_text_classifier_package.zip" From fd006bf6a9c96dee0f8fcb224d9407503cc275d5 Mon Sep 17 00:00:00 2001 From: sorin-bolos Date: Mon, 24 Nov 2025 15:46:36 +0200 Subject: [PATCH 263/267] Rephrase --- metadata/LightTextClassification__3__metadata.json | 2 +- metadata/LightTextClassification__4__metadata.json | 2 +- metadata/LightTextClassification__5__metadata.json | 2 +- metadata/LightTextClassification__7__metadata.json | 2 +- metadata/LightTextClassification__8__metadata.json | 2 +- metadata/MultiLingualTextClassification__3__metadata.json | 2 +- metadata/MultiLingualTextClassification__4__metadata.json | 2 +- metadata/MultiLingualTextClassification__5__metadata.json | 2 +- metadata/MultiLingualTextClassification__6__metadata.json | 2 +- 9 files changed, 9 insertions(+), 9 deletions(-) diff --git a/metadata/LightTextClassification__3__metadata.json b/metadata/LightTextClassification__3__metadata.json index f4edb36e..5a14e94e 100644 --- a/metadata/LightTextClassification__3__metadata.json +++ b/metadata/LightTextClassification__3__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "model 22.4.0. Available up until AS v2024.10.6 and v2025.10.0", + "changeLog": "model 22.4.0. Available up to and including AS v2024.10.6 and v2025.10.0.", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", diff --git a/metadata/LightTextClassification__4__metadata.json b/metadata/LightTextClassification__4__metadata.json index 4a05d435..277ee528 100644 --- a/metadata/LightTextClassification__4__metadata.json +++ b/metadata/LightTextClassification__4__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", + "changeLog": "model 22.6.0. Available up to and including AS v2024.10.6 and v2025.10.0.", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", diff --git a/metadata/LightTextClassification__5__metadata.json b/metadata/LightTextClassification__5__metadata.json index 44f7babf..934131bb 100644 --- a/metadata/LightTextClassification__5__metadata.json +++ b/metadata/LightTextClassification__5__metadata.json @@ -6,7 +6,7 @@ "description": "This is the preview version of a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", + "changeLog": "model 22.6.0. Available up to and including AS v2024.10.6 and v2025.10.0.", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", diff --git a/metadata/LightTextClassification__7__metadata.json b/metadata/LightTextClassification__7__metadata.json index c838e87e..f4978ba2 100644 --- a/metadata/LightTextClassification__7__metadata.json +++ b/metadata/LightTextClassification__7__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "Fix dependency bug and move to Python39. Available up until AS v2024.10.6 and v2025.10.0", + "changeLog": "Fix dependency bug and move to Python39. Available up to and including AS v2024.10.6 and v2025.10.0.", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", diff --git a/metadata/LightTextClassification__8__metadata.json b/metadata/LightTextClassification__8__metadata.json index bfa835ab..9506ce4f 100644 --- a/metadata/LightTextClassification__8__metadata.json +++ b/metadata/LightTextClassification__8__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports all languages based on Latin characters, such as English, French, Spanish, and others. This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. This model operates on bag of Words and supports two variations of algorithms, one based on Logistic Regression and the other one based on Random Forest. You can switch between these two algorithms using environment variables.", "inputDescription": "Text that would be classified.", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1) and ngrams in the input that affected the prediction (optional)", - "changeLog": "Move to Python3.12. Available from AS v2024.10.7 and v2025.10.1", + "changeLog": "Move to Python3.12. Available starting from AS v2024.10.7 and v2025.10.1.", "cpu": 1, "inputType": "JSON", "displayName": "LightTextClassification", diff --git a/metadata/MultiLingualTextClassification__3__metadata.json b/metadata/MultiLingualTextClassification__3__metadata.json index 73bf680a..7dead7f5 100644 --- a/metadata/MultiLingualTextClassification__3__metadata.json +++ b/metadata/MultiLingualTextClassification__3__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "model 22.4.0. Available up until AS v2024.10.6 and v2025.10.0", + "changeLog": "model 22.4.0. Available up to and including AS v2024.10.6 and v2025.10.0.", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", diff --git a/metadata/MultiLingualTextClassification__4__metadata.json b/metadata/MultiLingualTextClassification__4__metadata.json index 5f887279..bc9ea609 100644 --- a/metadata/MultiLingualTextClassification__4__metadata.json +++ b/metadata/MultiLingualTextClassification__4__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", + "changeLog": "model 22.6.0. Available up to and including AS v2024.10.6 and v2025.10.0.", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", diff --git a/metadata/MultiLingualTextClassification__5__metadata.json b/metadata/MultiLingualTextClassification__5__metadata.json index a862c717..fad1cb43 100644 --- a/metadata/MultiLingualTextClassification__5__metadata.json +++ b/metadata/MultiLingualTextClassification__5__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "model 22.6.0. Available up until AS v2024.10.6 and v2025.10.0", + "changeLog": "model 22.6.0. Available up to and including AS v2024.10.6 and v2025.10.0.", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", diff --git a/metadata/MultiLingualTextClassification__6__metadata.json b/metadata/MultiLingualTextClassification__6__metadata.json index 9da91f0e..f16a5f0d 100644 --- a/metadata/MultiLingualTextClassification__6__metadata.json +++ b/metadata/MultiLingualTextClassification__6__metadata.json @@ -6,7 +6,7 @@ "description": "This is a generic, retrainable model for text classification. It supports the top 100 Wikipedia languages listed here (https://docs.uipath.com/ai-fabric/v0/docs/multi-lingual-text-classification#languages). This ML Package must be trained, and if deployed without training first, the deployment will fail with an error stating that the model is not trained. It is based on BERT, a self-supervised method for pretraining natural language processing systems. A GPU is recommended especially during training. A GPU delivers ~5-10x improvement in speed.", "inputDescription": "Text that would be classified", "outputDescription": "A JSON with predicted class name, associated confidence on that class prediction (between 0-1).", - "changeLog": "Move to Python3.12. Available from AS v2024.10.7 and v2025.10.1", + "changeLog": "Move to Python3.12. Available starting from AS v2024.10.7 and v2025.10.1.", "cpu": 1, "inputType": "JSON", "displayName": "MultiLingualTextClassification", From 8808747292f51f8307a594eaa6cbd07eb62341db Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Tue, 25 Nov 2025 12:38:00 +0200 Subject: [PATCH 264/267] Pushing metadatas (#491) Co-authored-by: du-app-bot --- metadata/1040ScheduleC__18__metadata.json | 2 +- metadata/1040ScheduleD__18__metadata.json | 2 +- metadata/1040ScheduleE__18__metadata.json | 2 +- metadata/1040__41__metadata.json | 2 +- metadata/1040x__9__metadata.json | 2 +- metadata/3949a__9__metadata.json | 2 +- metadata/4506T__43__metadata.json | 2 +- metadata/709__9__metadata.json | 2 +- metadata/941x__9__metadata.json | 2 +- metadata/9465__9__metadata.json | 2 +- metadata/Acord125__43__metadata.json | 2 +- metadata/Acord126__41__metadata.json | 2 +- metadata/Acord131__41__metadata.json | 2 +- metadata/Acord140__41__metadata.json | 2 +- metadata/Acord25__41__metadata.json | 2 +- metadata/BankStatements__41__metadata.json | 2 +- metadata/BillsOfLading__41__metadata.json | 2 +- metadata/CMS1500__30__metadata.json | 2 +- metadata/CertificatesOfIncorporation__30__metadata.json | 2 +- metadata/CertificatesOfOrigin__30__metadata.json | 2 +- metadata/Checks__41__metadata.json | 2 +- metadata/ChildrenProductCertificates__30__metadata.json | 2 +- metadata/DocumentClassifier__43__metadata.json | 2 +- metadata/DocumentUnderstanding__52__metadata.json | 2 +- metadata/EUDeclarationOfConformity__30__metadata.json | 2 +- metadata/FM1003__43__metadata.json | 2 +- metadata/FinancialStatements__41__metadata.json | 2 +- metadata/I9__43__metadata.json | 2 +- metadata/IDCards__45__metadata.json | 2 +- metadata/IndianInvoices__51__metadata.json | 2 +- metadata/InvoicesChina__44__metadata.json | 2 +- metadata/InvoicesHebrew__9__metadata.json | 2 +- metadata/InvoicesShipping__30__metadata.json | 2 +- metadata/Invoices__52__metadata.json | 2 +- metadata/JapaneseInvoices__49__metadata.json | 2 +- metadata/PackingLists__41__metadata.json | 2 +- metadata/Passports__45__metadata.json | 2 +- metadata/Payslips__30__metadata.json | 2 +- metadata/PurchaseOrders__51__metadata.json | 2 +- metadata/Receipts__52__metadata.json | 2 +- metadata/RemittanceAdvices__44__metadata.json | 2 +- metadata/UB04__18__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__37__metadata.json | 2 +- metadata/UiPathDocumentOCR__43__metadata.json | 2 +- metadata/UtilityBills__51__metadata.json | 2 +- metadata/VehicleTitles__41__metadata.json | 2 +- metadata/W2__44__metadata.json | 2 +- metadata/W9__44__metadata.json | 2 +- 48 files changed, 48 insertions(+), 48 deletions(-) diff --git a/metadata/1040ScheduleC__18__metadata.json b/metadata/1040ScheduleC__18__metadata.json index b1e65246..014bd8d9 100644 --- a/metadata/1040ScheduleC__18__metadata.json +++ b/metadata/1040ScheduleC__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__18__metadata.json b/metadata/1040ScheduleD__18__metadata.json index ab691cb1..ab900cc3 100644 --- a/metadata/1040ScheduleD__18__metadata.json +++ b/metadata/1040ScheduleD__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__18__metadata.json b/metadata/1040ScheduleE__18__metadata.json index 629cb5ca..1a01a78e 100644 --- a/metadata/1040ScheduleE__18__metadata.json +++ b/metadata/1040ScheduleE__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__41__metadata.json b/metadata/1040__41__metadata.json index 9751fd71..b8e2a7b8 100644 --- a/metadata/1040__41__metadata.json +++ b/metadata/1040__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__9__metadata.json b/metadata/1040x__9__metadata.json index 33e7b62a..affd1128 100644 --- a/metadata/1040x__9__metadata.json +++ b/metadata/1040x__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__9__metadata.json b/metadata/3949a__9__metadata.json index d4bd7aa9..f6db594a 100644 --- a/metadata/3949a__9__metadata.json +++ b/metadata/3949a__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__43__metadata.json b/metadata/4506T__43__metadata.json index 001912a1..d0a84a81 100644 --- a/metadata/4506T__43__metadata.json +++ b/metadata/4506T__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__9__metadata.json b/metadata/709__9__metadata.json index e39e2293..f18ff2b8 100644 --- a/metadata/709__9__metadata.json +++ b/metadata/709__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__9__metadata.json b/metadata/941x__9__metadata.json index 78347571..f849299f 100644 --- a/metadata/941x__9__metadata.json +++ b/metadata/941x__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__9__metadata.json b/metadata/9465__9__metadata.json index 6f96c04c..b57e700b 100644 --- a/metadata/9465__9__metadata.json +++ b/metadata/9465__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__43__metadata.json b/metadata/Acord125__43__metadata.json index 92202bf3..abe467fb 100644 --- a/metadata/Acord125__43__metadata.json +++ b/metadata/Acord125__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__41__metadata.json b/metadata/Acord126__41__metadata.json index 0f55085c..fbdb99c0 100644 --- a/metadata/Acord126__41__metadata.json +++ b/metadata/Acord126__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__41__metadata.json b/metadata/Acord131__41__metadata.json index 6e9379e3..419ddd76 100644 --- a/metadata/Acord131__41__metadata.json +++ b/metadata/Acord131__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__41__metadata.json b/metadata/Acord140__41__metadata.json index 99e532eb..877ebb12 100644 --- a/metadata/Acord140__41__metadata.json +++ b/metadata/Acord140__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__41__metadata.json b/metadata/Acord25__41__metadata.json index edf27bee..e58dc042 100644 --- a/metadata/Acord25__41__metadata.json +++ b/metadata/Acord25__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__41__metadata.json b/metadata/BankStatements__41__metadata.json index 646b1084..e830740e 100644 --- a/metadata/BankStatements__41__metadata.json +++ b/metadata/BankStatements__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__41__metadata.json b/metadata/BillsOfLading__41__metadata.json index b21bd93b..6c2a2eff 100644 --- a/metadata/BillsOfLading__41__metadata.json +++ b/metadata/BillsOfLading__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__30__metadata.json b/metadata/CMS1500__30__metadata.json index 1fcef15b..46bb481d 100644 --- a/metadata/CMS1500__30__metadata.json +++ b/metadata/CMS1500__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__30__metadata.json b/metadata/CertificatesOfIncorporation__30__metadata.json index ae114d62..3aa579f4 100644 --- a/metadata/CertificatesOfIncorporation__30__metadata.json +++ b/metadata/CertificatesOfIncorporation__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__30__metadata.json b/metadata/CertificatesOfOrigin__30__metadata.json index a261638e..151b228b 100644 --- a/metadata/CertificatesOfOrigin__30__metadata.json +++ b/metadata/CertificatesOfOrigin__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__41__metadata.json b/metadata/Checks__41__metadata.json index 724e1dfa..7e000ea4 100644 --- a/metadata/Checks__41__metadata.json +++ b/metadata/Checks__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__30__metadata.json b/metadata/ChildrenProductCertificates__30__metadata.json index fe408817..5cbf814d 100644 --- a/metadata/ChildrenProductCertificates__30__metadata.json +++ b/metadata/ChildrenProductCertificates__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__43__metadata.json b/metadata/DocumentClassifier__43__metadata.json index fb6aacfc..c29e0fc6 100644 --- a/metadata/DocumentClassifier__43__metadata.json +++ b/metadata/DocumentClassifier__43__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-ml-document-type-text-classifier:v25.10-11.12-rc03", + "imagePath": "du-ml-document-type-text-classifier:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__52__metadata.json b/metadata/DocumentUnderstanding__52__metadata.json index f1dc8589..6527ce27 100644 --- a/metadata/DocumentUnderstanding__52__metadata.json +++ b/metadata/DocumentUnderstanding__52__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 52, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__30__metadata.json b/metadata/EUDeclarationOfConformity__30__metadata.json index 2a9bb892..cb42bd52 100644 --- a/metadata/EUDeclarationOfConformity__30__metadata.json +++ b/metadata/EUDeclarationOfConformity__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__43__metadata.json b/metadata/FM1003__43__metadata.json index 272a77bf..314b9cb8 100644 --- a/metadata/FM1003__43__metadata.json +++ b/metadata/FM1003__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__41__metadata.json b/metadata/FinancialStatements__41__metadata.json index 73eceae6..563e7f27 100644 --- a/metadata/FinancialStatements__41__metadata.json +++ b/metadata/FinancialStatements__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__43__metadata.json b/metadata/I9__43__metadata.json index 1d842a10..e1af9850 100644 --- a/metadata/I9__43__metadata.json +++ b/metadata/I9__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__45__metadata.json b/metadata/IDCards__45__metadata.json index f9af8abc..d1d47362 100644 --- a/metadata/IDCards__45__metadata.json +++ b/metadata/IDCards__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__51__metadata.json b/metadata/IndianInvoices__51__metadata.json index 1f8be56e..1570ddde 100644 --- a/metadata/IndianInvoices__51__metadata.json +++ b/metadata/IndianInvoices__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__44__metadata.json b/metadata/InvoicesChina__44__metadata.json index 2b2ad4d7..d6e2268d 100644 --- a/metadata/InvoicesChina__44__metadata.json +++ b/metadata/InvoicesChina__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__9__metadata.json b/metadata/InvoicesHebrew__9__metadata.json index b037ac4b..16a8f00f 100644 --- a/metadata/InvoicesHebrew__9__metadata.json +++ b/metadata/InvoicesHebrew__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__30__metadata.json b/metadata/InvoicesShipping__30__metadata.json index 1fee2ed7..9b1e7e90 100644 --- a/metadata/InvoicesShipping__30__metadata.json +++ b/metadata/InvoicesShipping__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__52__metadata.json b/metadata/Invoices__52__metadata.json index 1833ffc4..16e24cf3 100644 --- a/metadata/Invoices__52__metadata.json +++ b/metadata/Invoices__52__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 52, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__49__metadata.json b/metadata/JapaneseInvoices__49__metadata.json index a61a8c05..4ca7b9f1 100644 --- a/metadata/JapaneseInvoices__49__metadata.json +++ b/metadata/JapaneseInvoices__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__41__metadata.json b/metadata/PackingLists__41__metadata.json index 37109cee..7deb9b71 100644 --- a/metadata/PackingLists__41__metadata.json +++ b/metadata/PackingLists__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__45__metadata.json b/metadata/Passports__45__metadata.json index 9c7b0f6f..8bec46b9 100644 --- a/metadata/Passports__45__metadata.json +++ b/metadata/Passports__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__30__metadata.json b/metadata/Payslips__30__metadata.json index 3f0bffcf..4a02fcbb 100644 --- a/metadata/Payslips__30__metadata.json +++ b/metadata/Payslips__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__51__metadata.json b/metadata/PurchaseOrders__51__metadata.json index 93429aa5..d8a10916 100644 --- a/metadata/PurchaseOrders__51__metadata.json +++ b/metadata/PurchaseOrders__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__52__metadata.json b/metadata/Receipts__52__metadata.json index 12a1a030..1056f9de 100644 --- a/metadata/Receipts__52__metadata.json +++ b/metadata/Receipts__52__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 52, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__44__metadata.json b/metadata/RemittanceAdvices__44__metadata.json index f63efd30..8d6f2def 100644 --- a/metadata/RemittanceAdvices__44__metadata.json +++ b/metadata/RemittanceAdvices__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__18__metadata.json b/metadata/UB04__18__metadata.json index a400a3c7..36829250 100644 --- a/metadata/UB04__18__metadata.json +++ b/metadata/UB04__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__37__metadata.json b/metadata/UiPathDocumentOCR_CPU__37__metadata.json index 4046b99e..e880d8cb 100644 --- a/metadata/UiPathDocumentOCR_CPU__37__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__37__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 37, "customVersion": "25.10.1", - "imagePath": "du-doc-ocr-cpu:v25.10-11.12-rc03", + "imagePath": "du-doc-ocr-cpu:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__43__metadata.json b/metadata/UiPathDocumentOCR__43__metadata.json index 71b09222..a56f5395 100644 --- a/metadata/UiPathDocumentOCR__43__metadata.json +++ b/metadata/UiPathDocumentOCR__43__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-doc-ocr:v25.10-11.12-rc03", + "imagePath": "du-doc-ocr:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__51__metadata.json b/metadata/UtilityBills__51__metadata.json index cec6c961..e8585b3f 100644 --- a/metadata/UtilityBills__51__metadata.json +++ b/metadata/UtilityBills__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__41__metadata.json b/metadata/VehicleTitles__41__metadata.json index 164789e8..915014cd 100644 --- a/metadata/VehicleTitles__41__metadata.json +++ b/metadata/VehicleTitles__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__44__metadata.json b/metadata/W2__44__metadata.json index e1509544..422b78c9 100644 --- a/metadata/W2__44__metadata.json +++ b/metadata/W2__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__44__metadata.json b/metadata/W9__44__metadata.json index e8701ce5..e1e593c3 100644 --- a/metadata/W9__44__metadata.json +++ b/metadata/W9__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.12-rc03", + "imagePath": "du-semistructured:v25.10-11.24-rc07", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 3c8bb3fd4a93a3c8f825acece17c8e3d0a3258c2 Mon Sep 17 00:00:00 2001 From: "du-app-bot[bot]" <116823865+du-app-bot[bot]@users.noreply.github.com> Date: Tue, 2 Dec 2025 18:27:21 +0200 Subject: [PATCH 265/267] Pushing metadatas (#492) Co-authored-by: du-app-bot --- metadata/1040ScheduleC__18__metadata.json | 2 +- metadata/1040ScheduleD__18__metadata.json | 2 +- metadata/1040ScheduleE__18__metadata.json | 2 +- metadata/1040__41__metadata.json | 2 +- metadata/1040x__9__metadata.json | 2 +- metadata/3949a__9__metadata.json | 2 +- metadata/4506T__43__metadata.json | 2 +- metadata/709__9__metadata.json | 2 +- metadata/941x__9__metadata.json | 2 +- metadata/9465__9__metadata.json | 2 +- metadata/Acord125__43__metadata.json | 2 +- metadata/Acord126__41__metadata.json | 2 +- metadata/Acord131__41__metadata.json | 2 +- metadata/Acord140__41__metadata.json | 2 +- metadata/Acord25__41__metadata.json | 2 +- metadata/BankStatements__41__metadata.json | 2 +- metadata/BillsOfLading__41__metadata.json | 2 +- metadata/CMS1500__30__metadata.json | 2 +- metadata/CertificatesOfIncorporation__30__metadata.json | 2 +- metadata/CertificatesOfOrigin__30__metadata.json | 2 +- metadata/Checks__41__metadata.json | 2 +- metadata/ChildrenProductCertificates__30__metadata.json | 2 +- metadata/DocumentClassifier__43__metadata.json | 2 +- metadata/DocumentUnderstanding__52__metadata.json | 2 +- metadata/EUDeclarationOfConformity__30__metadata.json | 2 +- metadata/FM1003__43__metadata.json | 2 +- metadata/FinancialStatements__41__metadata.json | 2 +- metadata/I9__43__metadata.json | 2 +- metadata/IDCards__45__metadata.json | 2 +- metadata/IndianInvoices__51__metadata.json | 2 +- metadata/InvoicesChina__44__metadata.json | 2 +- metadata/InvoicesHebrew__9__metadata.json | 2 +- metadata/InvoicesShipping__30__metadata.json | 2 +- metadata/Invoices__52__metadata.json | 2 +- metadata/JapaneseInvoices__49__metadata.json | 2 +- metadata/PackingLists__41__metadata.json | 2 +- metadata/Passports__45__metadata.json | 2 +- metadata/Payslips__30__metadata.json | 2 +- metadata/PurchaseOrders__51__metadata.json | 2 +- metadata/Receipts__52__metadata.json | 2 +- metadata/RemittanceAdvices__44__metadata.json | 2 +- metadata/UB04__18__metadata.json | 2 +- metadata/UiPathDocumentOCR_CPU__37__metadata.json | 2 +- metadata/UiPathDocumentOCR__43__metadata.json | 2 +- metadata/UtilityBills__51__metadata.json | 2 +- metadata/VehicleTitles__41__metadata.json | 2 +- metadata/W2__44__metadata.json | 2 +- metadata/W9__44__metadata.json | 2 +- 48 files changed, 48 insertions(+), 48 deletions(-) diff --git a/metadata/1040ScheduleC__18__metadata.json b/metadata/1040ScheduleC__18__metadata.json index 014bd8d9..8f729988 100644 --- a/metadata/1040ScheduleC__18__metadata.json +++ b/metadata/1040ScheduleC__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleD__18__metadata.json b/metadata/1040ScheduleD__18__metadata.json index ab900cc3..de13c205 100644 --- a/metadata/1040ScheduleD__18__metadata.json +++ b/metadata/1040ScheduleD__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040ScheduleE__18__metadata.json b/metadata/1040ScheduleE__18__metadata.json index 1a01a78e..505047cc 100644 --- a/metadata/1040ScheduleE__18__metadata.json +++ b/metadata/1040ScheduleE__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040__41__metadata.json b/metadata/1040__41__metadata.json index b8e2a7b8..6d8da0ef 100644 --- a/metadata/1040__41__metadata.json +++ b/metadata/1040__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/1040x__9__metadata.json b/metadata/1040x__9__metadata.json index affd1128..b1f433ac 100644 --- a/metadata/1040x__9__metadata.json +++ b/metadata/1040x__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/3949a__9__metadata.json b/metadata/3949a__9__metadata.json index f6db594a..5eed7a8e 100644 --- a/metadata/3949a__9__metadata.json +++ b/metadata/3949a__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/4506T__43__metadata.json b/metadata/4506T__43__metadata.json index d0a84a81..41b2b1b5 100644 --- a/metadata/4506T__43__metadata.json +++ b/metadata/4506T__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/709__9__metadata.json b/metadata/709__9__metadata.json index f18ff2b8..785c93d8 100644 --- a/metadata/709__9__metadata.json +++ b/metadata/709__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/941x__9__metadata.json b/metadata/941x__9__metadata.json index f849299f..6cde2c4a 100644 --- a/metadata/941x__9__metadata.json +++ b/metadata/941x__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/9465__9__metadata.json b/metadata/9465__9__metadata.json index b57e700b..3d3d28d1 100644 --- a/metadata/9465__9__metadata.json +++ b/metadata/9465__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord125__43__metadata.json b/metadata/Acord125__43__metadata.json index abe467fb..8d9dcbfd 100644 --- a/metadata/Acord125__43__metadata.json +++ b/metadata/Acord125__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord126__41__metadata.json b/metadata/Acord126__41__metadata.json index fbdb99c0..1003b6ec 100644 --- a/metadata/Acord126__41__metadata.json +++ b/metadata/Acord126__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord131__41__metadata.json b/metadata/Acord131__41__metadata.json index 419ddd76..09035c17 100644 --- a/metadata/Acord131__41__metadata.json +++ b/metadata/Acord131__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord140__41__metadata.json b/metadata/Acord140__41__metadata.json index 877ebb12..c9ce0a32 100644 --- a/metadata/Acord140__41__metadata.json +++ b/metadata/Acord140__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Acord25__41__metadata.json b/metadata/Acord25__41__metadata.json index e58dc042..95e074a1 100644 --- a/metadata/Acord25__41__metadata.json +++ b/metadata/Acord25__41__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BankStatements__41__metadata.json b/metadata/BankStatements__41__metadata.json index e830740e..6b0b5a8e 100644 --- a/metadata/BankStatements__41__metadata.json +++ b/metadata/BankStatements__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/BillsOfLading__41__metadata.json b/metadata/BillsOfLading__41__metadata.json index 6c2a2eff..d63b9b7f 100644 --- a/metadata/BillsOfLading__41__metadata.json +++ b/metadata/BillsOfLading__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CMS1500__30__metadata.json b/metadata/CMS1500__30__metadata.json index 46bb481d..3d2ddaa1 100644 --- a/metadata/CMS1500__30__metadata.json +++ b/metadata/CMS1500__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfIncorporation__30__metadata.json b/metadata/CertificatesOfIncorporation__30__metadata.json index 3aa579f4..ddca4240 100644 --- a/metadata/CertificatesOfIncorporation__30__metadata.json +++ b/metadata/CertificatesOfIncorporation__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/CertificatesOfOrigin__30__metadata.json b/metadata/CertificatesOfOrigin__30__metadata.json index 151b228b..518c14d1 100644 --- a/metadata/CertificatesOfOrigin__30__metadata.json +++ b/metadata/CertificatesOfOrigin__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Checks__41__metadata.json b/metadata/Checks__41__metadata.json index 7e000ea4..7f023a2d 100644 --- a/metadata/Checks__41__metadata.json +++ b/metadata/Checks__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/ChildrenProductCertificates__30__metadata.json b/metadata/ChildrenProductCertificates__30__metadata.json index 5cbf814d..4d812e27 100644 --- a/metadata/ChildrenProductCertificates__30__metadata.json +++ b/metadata/ChildrenProductCertificates__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/DocumentClassifier__43__metadata.json b/metadata/DocumentClassifier__43__metadata.json index c29e0fc6..c40ad8e2 100644 --- a/metadata/DocumentClassifier__43__metadata.json +++ b/metadata/DocumentClassifier__43__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-ml-document-type-text-classifier:v25.10-11.24-rc07", + "imagePath": "du-ml-document-type-text-classifier:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}" } diff --git a/metadata/DocumentUnderstanding__52__metadata.json b/metadata/DocumentUnderstanding__52__metadata.json index 6527ce27..d3704feb 100644 --- a/metadata/DocumentUnderstanding__52__metadata.json +++ b/metadata/DocumentUnderstanding__52__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 52, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/EUDeclarationOfConformity__30__metadata.json b/metadata/EUDeclarationOfConformity__30__metadata.json index cb42bd52..aeff9d40 100644 --- a/metadata/EUDeclarationOfConformity__30__metadata.json +++ b/metadata/EUDeclarationOfConformity__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FM1003__43__metadata.json b/metadata/FM1003__43__metadata.json index 314b9cb8..e5e1c669 100644 --- a/metadata/FM1003__43__metadata.json +++ b/metadata/FM1003__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/FinancialStatements__41__metadata.json b/metadata/FinancialStatements__41__metadata.json index 563e7f27..a8a2b046 100644 --- a/metadata/FinancialStatements__41__metadata.json +++ b/metadata/FinancialStatements__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/I9__43__metadata.json b/metadata/I9__43__metadata.json index e1af9850..eb318edd 100644 --- a/metadata/I9__43__metadata.json +++ b/metadata/I9__43__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IDCards__45__metadata.json b/metadata/IDCards__45__metadata.json index d1d47362..8a9ab08b 100644 --- a/metadata/IDCards__45__metadata.json +++ b/metadata/IDCards__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/IndianInvoices__51__metadata.json b/metadata/IndianInvoices__51__metadata.json index 1570ddde..e1441813 100644 --- a/metadata/IndianInvoices__51__metadata.json +++ b/metadata/IndianInvoices__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesChina__44__metadata.json b/metadata/InvoicesChina__44__metadata.json index d6e2268d..f9c6edc0 100644 --- a/metadata/InvoicesChina__44__metadata.json +++ b/metadata/InvoicesChina__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesHebrew__9__metadata.json b/metadata/InvoicesHebrew__9__metadata.json index 16a8f00f..5283b9fe 100644 --- a/metadata/InvoicesHebrew__9__metadata.json +++ b/metadata/InvoicesHebrew__9__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 9, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/InvoicesShipping__30__metadata.json b/metadata/InvoicesShipping__30__metadata.json index 9b1e7e90..23c96f2f 100644 --- a/metadata/InvoicesShipping__30__metadata.json +++ b/metadata/InvoicesShipping__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Invoices__52__metadata.json b/metadata/Invoices__52__metadata.json index 16e24cf3..74c79130 100644 --- a/metadata/Invoices__52__metadata.json +++ b/metadata/Invoices__52__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 52, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/JapaneseInvoices__49__metadata.json b/metadata/JapaneseInvoices__49__metadata.json index 4ca7b9f1..fdc44f40 100644 --- a/metadata/JapaneseInvoices__49__metadata.json +++ b/metadata/JapaneseInvoices__49__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 49, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PackingLists__41__metadata.json b/metadata/PackingLists__41__metadata.json index 7deb9b71..9ee827f2 100644 --- a/metadata/PackingLists__41__metadata.json +++ b/metadata/PackingLists__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Passports__45__metadata.json b/metadata/Passports__45__metadata.json index 8bec46b9..830294f3 100644 --- a/metadata/Passports__45__metadata.json +++ b/metadata/Passports__45__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 45, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Payslips__30__metadata.json b/metadata/Payslips__30__metadata.json index 4a02fcbb..e5517d97 100644 --- a/metadata/Payslips__30__metadata.json +++ b/metadata/Payslips__30__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 30, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/PurchaseOrders__51__metadata.json b/metadata/PurchaseOrders__51__metadata.json index d8a10916..b02ed300 100644 --- a/metadata/PurchaseOrders__51__metadata.json +++ b/metadata/PurchaseOrders__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/Receipts__52__metadata.json b/metadata/Receipts__52__metadata.json index 1056f9de..1d8b2184 100644 --- a/metadata/Receipts__52__metadata.json +++ b/metadata/Receipts__52__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 52, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/RemittanceAdvices__44__metadata.json b/metadata/RemittanceAdvices__44__metadata.json index 8d6f2def..60891eab 100644 --- a/metadata/RemittanceAdvices__44__metadata.json +++ b/metadata/RemittanceAdvices__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UB04__18__metadata.json b/metadata/UB04__18__metadata.json index 36829250..82483a88 100644 --- a/metadata/UB04__18__metadata.json +++ b/metadata/UB04__18__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 18, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/UiPathDocumentOCR_CPU__37__metadata.json b/metadata/UiPathDocumentOCR_CPU__37__metadata.json index e880d8cb..17aba65c 100644 --- a/metadata/UiPathDocumentOCR_CPU__37__metadata.json +++ b/metadata/UiPathDocumentOCR_CPU__37__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 37, "customVersion": "25.10.1", - "imagePath": "du-doc-ocr-cpu:v25.10-11.24-rc07", + "imagePath": "du-doc-ocr-cpu:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UiPathDocumentOCR__43__metadata.json b/metadata/UiPathDocumentOCR__43__metadata.json index a56f5395..4a97a3e1 100644 --- a/metadata/UiPathDocumentOCR__43__metadata.json +++ b/metadata/UiPathDocumentOCR__43__metadata.json @@ -21,6 +21,6 @@ "languageVersion": 4, "version": 43, "customVersion": "25.10.1", - "imagePath": "du-doc-ocr:v25.10-11.24-rc07", + "imagePath": "du-doc-ocr:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"5\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"},{\"probe\": \"readiness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"15\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"2\"},{\"probe\": \"liveness\",\"initialDelaySeconds\": \"30\",\"periodSeconds\": \"60\",\"timeoutSeconds\": \"45\",\"successThreshold\": \"1\",\"failureThreshold\": \"3\"}]}" } diff --git a/metadata/UtilityBills__51__metadata.json b/metadata/UtilityBills__51__metadata.json index e8585b3f..b1e05046 100644 --- a/metadata/UtilityBills__51__metadata.json +++ b/metadata/UtilityBills__51__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 51, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/VehicleTitles__41__metadata.json b/metadata/VehicleTitles__41__metadata.json index 915014cd..791c4e66 100644 --- a/metadata/VehicleTitles__41__metadata.json +++ b/metadata/VehicleTitles__41__metadata.json @@ -20,7 +20,7 @@ "languageVersion": 4, "version": 41, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W2__44__metadata.json b/metadata/W2__44__metadata.json index 422b78c9..d2de7887 100644 --- a/metadata/W2__44__metadata.json +++ b/metadata/W2__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { diff --git a/metadata/W9__44__metadata.json b/metadata/W9__44__metadata.json index e1e593c3..58ce9f35 100644 --- a/metadata/W9__44__metadata.json +++ b/metadata/W9__44__metadata.json @@ -21,7 +21,7 @@ "languageVersion": 4, "version": 44, "customVersion": "25.10.1", - "imagePath": "du-semistructured:v25.10-11.24-rc07", + "imagePath": "du-semistructured:v25.10-11.30-rc02", "parametersFileJSON": "{\"params\": [{\"name\": \"auto_retraining\",\"type\": [\"PIPELINE\"],\"value\": \"False\",\"help\": \"Enable this option when the Pipeline you are creating is a scheduled automatic pipeline, synchronized with automatic exports from Data Manager.\",\"options\": [\"True\",\"False\"]}],\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"120\",\"periodSeconds\": \"10\",\"timeoutSeconds\": \"2\",\"successThreshold\": \"1\",\"failureThreshold\": \"60\"}]}", "settings": [ { From 7e3172ca10689b5df2a3259203347c636c87e6bf Mon Sep 17 00:00:00 2001 From: andznui <98815714+andznui@users.noreply.github.com> Date: Fri, 5 Dec 2025 17:02:00 +0200 Subject: [PATCH 266/267] bump ltc & mltc version and update zip (#493) --- metadata/LightTextClassification__8__metadata.json | 4 ++-- metadata/MultiLingualTextClassification__6__metadata.json | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/metadata/LightTextClassification__8__metadata.json b/metadata/LightTextClassification__8__metadata.json index 9506ce4f..894b89c7 100644 --- a/metadata/LightTextClassification__8__metadata.json +++ b/metadata/LightTextClassification__8__metadata.json @@ -19,6 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v24.10", "version": 8, - "customVersion": "25.9.0", - "contentUri": "https:///publicmodels/AIC/LightTextClassification/25.9.0/bow_text_classifier_package.zip" + "customVersion": "25.12.0", + "contentUri": "https:///publicmodels/AIC/LightTextClassification/25.12.0/bow_text_classifier_package.zip" } diff --git a/metadata/MultiLingualTextClassification__6__metadata.json b/metadata/MultiLingualTextClassification__6__metadata.json index f16a5f0d..67038d3c 100644 --- a/metadata/MultiLingualTextClassification__6__metadata.json +++ b/metadata/MultiLingualTextClassification__6__metadata.json @@ -19,6 +19,6 @@ "tenantName": "UiPath", "minAIFabricVersion": "v24.10", "version": 6, - "customVersion": "25.9.0", - "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/25.9.0/bert_text_classifier_package.zip" + "customVersion": "25.12.0", + "contentUri": "https:///publicmodels/AIC/MultiLingualTextClassification/25.12.0/bert_text_classifier_package.zip" } \ No newline at end of file From 5875fd0ba52b67419278e7f4c4f8dc16d7881308 Mon Sep 17 00:00:00 2001 From: mihairaduvlad Date: Fri, 12 Dec 2025 13:03:03 +0200 Subject: [PATCH 267/267] update 25.10 (#494) --- ...__metadata.json => ComputerVision__225100002__metadata.json} | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) rename metadata/{ComputerVision__125100002__metadata.json => ComputerVision__225100002__metadata.json} (98%) diff --git a/metadata/ComputerVision__125100002__metadata.json b/metadata/ComputerVision__225100002__metadata.json similarity index 98% rename from metadata/ComputerVision__125100002__metadata.json rename to metadata/ComputerVision__225100002__metadata.json index 01ae785b..0b5f6f85 100644 --- a/metadata/ComputerVision__125100002__metadata.json +++ b/metadata/ComputerVision__225100002__metadata.json @@ -19,7 +19,7 @@ "tenantName": "UiPath", "minAIFabricVersion": "22.10", "languageVersion": 3, - "version": 125100002, + "version": 225100002, "customVersion": "25.10.1", "imagePath": "cv2510:25.10.0.2", "parametersFileJSON": "{\"probes\": [{\"probe\": \"startup\",\"initialDelaySeconds\": \"0\",\"periodSeconds\": \"1\",\"timeoutSeconds\": \"1\",\"successThreshold\": \"1\",\"failureThreshold\": \"600\"}]}"