feat: add prediction service RPC RawPredict to aiplatform_v1beta1 fea…

…t: add tensorboard service RPCs to aiplatform_v1beta1: BatchCreateTensorboardRuns, BatchCreateTensorboardTimeSeries, WriteTensorboardExperimentData feat: add model_deployment_monitori... (#636)

...ng_job to Endpoint in aiplatform_v1beta1 feat: add deployment_group to DeployedIndex in aiplatform_v1beta1 feat: add ModelEvaluationExplanationSpec in aiplatform_v1beta1

- [ ] Regenerate this pull request now.

Committer: @dizcology
PiperOrigin-RevId: 393890669

Source-Link: googleapis/googleapis@321abab

Source-Link: https://github.com/googleapis/googleapis-gen/commit/629290d281933863e533a31874824ebcb449cccb

google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/DatasetServiceClient.java

@@ -41,8 +41,11 @@
 
 // AUTO-GENERATED DOCUMENTATION AND CLASS.
 /**
- * This class provides the ability to make remote calls to the backing service through method calls
- * that map to API methods. Sample code to get started:
+ * Service Description: The service that handles the CRUD of Vertex AI Dataset and its child
+ * resources.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
  *
  * <pre>{@code
  * try (DatasetServiceClient datasetServiceClient = DatasetServiceClient.create()) {

google-cloud-aiplatform/src/main/java/com/google/cloud/aiplatform/v1/EndpointServiceClient.java

@@ -42,8 +42,10 @@
 
 // AUTO-GENERATED DOCUMENTATION AND CLASS.
 /**
- * This class provides the ability to make remote calls to the backing service through method calls
- * that map to API methods. Sample code to get started:
+ * Service Description: A service for managing Vertex AI's Endpoints.
+ *
+ * <p>This class provides the ability to make remote calls to the backing service through method
+ * calls that map to API methods. Sample code to get started:
  *
  * <pre>{@code
  * try (EndpointServiceClient endpointServiceClient = EndpointServiceClient.create()) {