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[RAPTOR-12716] add contextUrl to env_info.json (#1502)
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19 files changed

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example_dropin_environments/triton_server/env_info.json

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"environmentVersionId": "67abbb30cbce021ed2502582",
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"environmentVersionDescription": "Security updates.\nFROM nvcr.io/nvidia/tritonserver:25.01-py3",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"imageRepository": "env-gpu-triton-server"
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}

public_dropin_environments/java_codegen/env_info.json

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"description": "This template can be used as an environment for DataRobot generated scoring code or models that implement the either the IClassificationPredictor or IRegressionPredictor interface from the datarobot-prediction package and for H2O models exported as POJO or MOJO.",
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"programmingLanguage": "java",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f8878b",
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"environmentVersionId": "6848b5262081a81707b57882",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/java_codegen",
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"imageRepository": "env-java-codegen",
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"tags": [
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"v11.1.0-68471e460c7c496330f8878b",
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"68471e460c7c496330f8878b",
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"v11.1.0-6848b5262081a81707b57882",
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"6848b5262081a81707b57882",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python311/env_info.json

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"description": "This template environment can be used to create Python based custom models. User is responsible to provide requirements.txt with the model, to install all the required dependencies.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f8878e",
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"environmentVersionId": "6848b5342081a8172fb52002",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python311",
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"imageRepository": "env-python",
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"tags": [
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"v11.1.0-68471e460c7c496330f8878e",
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"68471e460c7c496330f8878e",
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"v11.1.0-6848b5342081a8172fb52002",
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"6848b5342081a8172fb52002",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python311_genai/env_info.json

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"description": "This template environment can be used to create GenAI-powered custom models and includes common dependencies for workflows using OpenAI, Langchain, vector DBs, or transformers in PyTorch. Similar to other drop-in environments, you can either include a .pth artifact or any other code needed to deserialize your model, and optionally a custom.py file.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f88793",
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"environmentVersionId": "6848b53d2081a8174b897f7e",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python311_genai",
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"imageRepository": "env-python-genai",
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"tags": [
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"v11.1.0-68471e460c7c496330f88793",
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"68471e460c7c496330f88793",
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"v11.1.0-6848b53d2081a8174b897f7e",
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"6848b53d2081a8174b897f7e",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python311_genai_agents/env_info.json

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"description": "This template environment can be used to create GenAI-powered agents using CrewAI, LangGraph, or Llama-Index. Similar to other drop-in environments, you can either include a .pth artifact or any other code needed to deserialize your model, and optionally a custom.py file. You can also use this environment in codespaces.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68409da3ebb36a0f9475123a",
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"environmentVersionId": "6848b58f2081a8179c7a7704",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"notebook",
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"customModel"
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],
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python311_genai_agents",
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"imageRepository": "env-python-genai-agents",
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"tags": [
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"v11.1.0-68409da3ebb36a0f9475123a",
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"68409da3ebb36a0f9475123a",
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"v11.1.0-6848b58f2081a8179c7a7704",
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"6848b58f2081a8179c7a7704",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python3_keras/env_info.json

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"description": "This template environment can be used to create artifact-only keras custom models. This environment contains keras backed by tensorflow and only requires your model artifact as a .h5 file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f88791",
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"environmentVersionId": "6848b5b62081a817e65a8c44",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python3_keras",
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"imageRepository": "env-python-keras",
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"tags": [
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"v11.1.0-68471e460c7c496330f88791",
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"68471e460c7c496330f88791",
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"v11.1.0-6848b5b62081a817e65a8c44",
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"6848b5b62081a817e65a8c44",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python3_onnx/env_info.json

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"description": "This template environment can be used to create artifact-only ONNX custom models. This environment contains ONNX runtime and only requires your model artifact as an .onnx file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f88789",
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"environmentVersionId": "6848b5cf2081a8180cf1da56",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python3_onnx",
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"imageRepository": "env-python-onnx",
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"tags": [
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"v11.1.0-68471e460c7c496330f88789",
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"68471e460c7c496330f88789",
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"v11.1.0-6848b5cf2081a8180cf1da56",
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"6848b5cf2081a8180cf1da56",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python3_pmml/env_info.json

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"description": "This template environment can be used to create artifact-only PMML custom models. This environment contains PyPMML and only requires your model artifact as a .pmml file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f88790",
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"environmentVersionId": "6848b5d92081a8182b5d8d58",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python3_pmml",
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"imageRepository": "env-python-pmml",
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"tags": [
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"v11.1.0-68471e460c7c496330f88790",
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"68471e460c7c496330f88790",
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"v11.1.0-6848b5d92081a8182b5d8d58",
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"6848b5d92081a8182b5d8d58",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python3_pytorch/env_info.json

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"description": "This template environment can be used to create artifact-only PyTorch custom models. This environment contains PyTorch and requires only your model artifact as a .pth file, any other code needed to deserialize your model, and optionally a custom.py file.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f8878f",
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"environmentVersionId": "6848b5e32081a8184891014d",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python3_pytorch",
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"imageRepository": "env-python-pytorch",
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"tags": [
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"v11.1.0-68471e460c7c496330f8878f",
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"68471e460c7c496330f8878f",
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"v11.1.0-6848b5e32081a8184891014d",
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"6848b5e32081a8184891014d",
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"v11.1.0-latest"
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]
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}

public_dropin_environments/python3_sklearn/env_info.json

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"description": "This template environment can be used to create artifact-only scikit-learn custom models. This environment contains scikit-learn and only requires your model artifact as a .pkl file and optionally a custom.py file.",
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"programmingLanguage": "python",
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"label": "",
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"environmentVersionId": "68471e460c7c496330f88792",
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"environmentVersionId": "6848b6142081a818745ff7b3",
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"environmentVersionDescription": "",
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"isPublic": true,
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"useCases": [
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"customModel"
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],
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"contextUrl": null,
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"contextUrl": "https://github.com/datarobot/datarobot-user-models/tree/master/public_dropin_environments/python3_sklearn",
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"imageRepository": "env-python-sklearn",
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"tags": [
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"v11.1.0-68471e460c7c496330f88792",
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"68471e460c7c496330f88792",
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"v11.1.0-6848b6142081a818745ff7b3",
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"6848b6142081a818745ff7b3",
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"v11.1.0-latest"
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]
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}

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