feat: add Vizier service to aiplatform v1

README.md

@@ -45,13 +45,13 @@ implementation 'com.google.cloud:google-cloud-aiplatform'
 If you are using Gradle without BOM, add this to your dependencies
 
 ```Groovy
-implementation 'com.google.cloud:google-cloud-aiplatform:2.0.2'
+implementation 'com.google.cloud:google-cloud-aiplatform:2.1.0'
 ```
 
 If you are using SBT, add this to your dependencies
 
 ```Scala
-libraryDependencies += "com.google.cloud" % "google-cloud-aiplatform" % "2.0.2"
+libraryDependencies += "com.google.cloud" % "google-cloud-aiplatform" % "2.1.0"
 ```
 
 ## Authentication

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

@@ -3230,7 +3230,23 @@ public final ListModelDeploymentMonitoringJobsPagedResponse listModelDeploymentM
  *
  * @param modelDeploymentMonitoringJob Required. The model monitoring configuration which replaces
  * the resource on the server.
- * @param updateMask Required. The update mask applies to the resource.
+ * @param updateMask Required. The update mask is used to specify the fields to be overwritten in
+ * the ModelDeploymentMonitoringJob resource by the update. The fields specified in the
+ * update_mask are relative to the resource, not the full request. A field will be overwritten
+ * if it is in the mask. If the user does not provide a mask then only the non-empty fields
+ * present in the request will be overwritten. Set the update_mask to `*` to override all
+ * fields. For the objective config, the user can either provide the update mask for
+ * model_deployment_monitoring_objective_configs or any combination of its nested fields, such
+ * as: model_deployment_monitoring_objective_configs.objective_config.training_dataset.
+ * <p>Updatable fields:
+ * <p>&#42; `display_name` &#42; `model_deployment_monitoring_schedule_config` &#42;
+ * `model_monitoring_alert_config` &#42; `logging_sampling_strategy` &#42; `labels` &#42;
+ * `log_ttl` &#42; `enable_monitoring_pipeline_logs` . and &#42;
+ * `model_deployment_monitoring_objective_configs` . or &#42;
+ * `model_deployment_monitoring_objective_configs.objective_config.training_dataset` &#42;
+ * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
+ * &#42;
+ * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
  * @throws com.google.api.gax.rpc.ApiException if the remote call fails
  */
  public final OperationFuture<