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clients/google-api-services-aiplatform/v1/2.0.0/README.md

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@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1-rev20260110-2.0.0</version>
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<version>v1-rev20260116-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20260110-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20260116-2.0.0'
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}
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```
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clients/google-api-services-aiplatform/v1/2.0.0/com/google/api/services/aiplatform/v1/model/GoogleCloudAiplatformV1PipelineJob.java

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@@ -109,7 +109,9 @@ public final class GoogleCloudAiplatformV1PipelineJob extends com.google.api.cli
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private java.lang.String network;
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/**
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* The spec of the pipeline.
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* A compiled definition of a pipeline, represented as a `JSON` object. Defines the structure of
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* the pipeline, including its components, tasks, and parameters. This specification is generated
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* by compiling a pipeline function defined in `Python` using the `Kubeflow Pipelines SDK`.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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}
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/**
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* The spec of the pipeline.
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* A compiled definition of a pipeline, represented as a `JSON` object. Defines the structure of
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* the pipeline, including its components, tasks, and parameters. This specification is generated
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* by compiling a pipeline function defined in `Python` using the `Kubeflow Pipelines SDK`.
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* @return value or {@code null} for none
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*/
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public java.util.Map<String, java.lang.Object> getPipelineSpec() {
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return pipelineSpec;
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}
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/**
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* The spec of the pipeline.
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* A compiled definition of a pipeline, represented as a `JSON` object. Defines the structure of
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* the pipeline, including its components, tasks, and parameters. This specification is generated
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* by compiling a pipeline function defined in `Python` using the `Kubeflow Pipelines SDK`.
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* @param pipelineSpec pipelineSpec or {@code null} for none
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*/
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public GoogleCloudAiplatformV1PipelineJob setPipelineSpec(java.util.Map<String, java.lang.Object> pipelineSpec) {

clients/google-api-services-aiplatform/v1/2.0.0/pom.xml

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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1-rev20260110-2.0.0</version>
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<name>Vertex AI API v1-rev20260110-2.0.0</name>
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<version>v1-rev20260116-2.0.0</version>
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<name>Vertex AI API v1-rev20260116-2.0.0</name>
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<packaging>jar</packaging>
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<inceptionYear>2011</inceptionYear>

clients/google-api-services-aiplatform/v1/README.md

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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1-rev20260110-2.0.0</version>
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<version>v1-rev20260116-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20260110-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1-rev20260116-2.0.0'
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}
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```
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clients/google-api-services-aiplatform/v1beta1/2.0.0/README.md

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@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1beta1-rev20260110-2.0.0</version>
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<version>v1beta1-rev20260116-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-aiplatform:v1beta1-rev20260110-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1beta1-rev20260116-2.0.0'
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}
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```
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clients/google-api-services-aiplatform/v1beta1/2.0.0/com/google/api/services/aiplatform/v1beta1/model/GoogleCloudAiplatformV1beta1PipelineJob.java

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private java.lang.Long originalPipelineJobId;
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/**
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* The spec of the pipeline.
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* A compiled definition of a pipeline, represented as a `JSON` object. Defines the structure of
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* the pipeline, including its components, tasks, and parameters. This specification is generated
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* by compiling a pipeline function defined in `Python` using the `Kubeflow Pipelines SDK`.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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}
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/**
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* The spec of the pipeline.
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* A compiled definition of a pipeline, represented as a `JSON` object. Defines the structure of
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* the pipeline, including its components, tasks, and parameters. This specification is generated
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* by compiling a pipeline function defined in `Python` using the `Kubeflow Pipelines SDK`.
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* @return value or {@code null} for none
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*/
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public java.util.Map<String, java.lang.Object> getPipelineSpec() {
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return pipelineSpec;
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}
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/**
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* The spec of the pipeline.
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* A compiled definition of a pipeline, represented as a `JSON` object. Defines the structure of
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* the pipeline, including its components, tasks, and parameters. This specification is generated
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* by compiling a pipeline function defined in `Python` using the `Kubeflow Pipelines SDK`.
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* @param pipelineSpec pipelineSpec or {@code null} for none
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*/
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public GoogleCloudAiplatformV1beta1PipelineJob setPipelineSpec(java.util.Map<String, java.lang.Object> pipelineSpec) {

clients/google-api-services-aiplatform/v1beta1/2.0.0/com/google/api/services/aiplatform/v1beta1/model/GoogleCloudAiplatformV1beta1VeoHyperParameters.java

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/**
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* Optional. The ratio of Google internal dataset to use in the training mixture, in range of `[0,
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* 1)`. If `0.2`, it means 20% of Google internal dataset and 80% of user dataset will be used for
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* training.
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* training. If not set, the default value is 0.1.
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* The value may be {@code null}.
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*/
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@com.google.api.client.util.Key
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/**
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* Optional. The ratio of Google internal dataset to use in the training mixture, in range of `[0,
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* 1)`. If `0.2`, it means 20% of Google internal dataset and 80% of user dataset will be used for
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* training.
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* training. If not set, the default value is 0.1.
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* @return value or {@code null} for none
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*/
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public java.lang.Double getVeoDataMixtureRatio() {
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/**
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* Optional. The ratio of Google internal dataset to use in the training mixture, in range of `[0,
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* 1)`. If `0.2`, it means 20% of Google internal dataset and 80% of user dataset will be used for
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* training.
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* training. If not set, the default value is 0.1.
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* @param veoDataMixtureRatio veoDataMixtureRatio or {@code null} for none
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*/
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public GoogleCloudAiplatformV1beta1VeoHyperParameters setVeoDataMixtureRatio(java.lang.Double veoDataMixtureRatio) {

clients/google-api-services-aiplatform/v1beta1/2.0.0/pom.xml

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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1beta1-rev20260110-2.0.0</version>
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<name>Vertex AI API v1beta1-rev20260110-2.0.0</name>
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<version>v1beta1-rev20260116-2.0.0</version>
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<name>Vertex AI API v1beta1-rev20260116-2.0.0</name>
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<packaging>jar</packaging>
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<inceptionYear>2011</inceptionYear>

clients/google-api-services-aiplatform/v1beta1/README.md

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@@ -22,7 +22,7 @@ Add the following lines to your `pom.xml` file:
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<dependency>
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<groupId>com.google.apis</groupId>
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<artifactId>google-api-services-aiplatform</artifactId>
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<version>v1beta1-rev20260110-2.0.0</version>
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<version>v1beta1-rev20260116-2.0.0</version>
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</dependency>
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</dependencies>
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</project>
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mavenCentral()
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}
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dependencies {
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implementation 'com.google.apis:google-api-services-aiplatform:v1beta1-rev20260110-2.0.0'
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implementation 'com.google.apis:google-api-services-aiplatform:v1beta1-rev20260116-2.0.0'
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}
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```
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