feat: add Vizier service to aiplatform v1

Committer: @dizcology
PiperOrigin-RevId: 394116440

google/cloud/aiplatform/v1/aiplatform_v1.yaml

@@ -14,10 +14,13 @@ apis:
 - name: google.cloud.aiplatform.v1.PipelineService
 - name: google.cloud.aiplatform.v1.PredictionService
 - name: google.cloud.aiplatform.v1.SpecialistPoolService
+- name: google.cloud.aiplatform.v1.VizierService
 
 types:
 - name: google.cloud.aiplatform.v1.BatchMigrateResourcesOperationMetadata
 - name: google.cloud.aiplatform.v1.BatchMigrateResourcesResponse
+- name: google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateMetatdata
+- name: google.cloud.aiplatform.v1.CheckTrialEarlyStoppingStateResponse
 - name: google.cloud.aiplatform.v1.CreateDatasetOperationMetadata
 - name: google.cloud.aiplatform.v1.CreateEndpointOperationMetadata
 - name: google.cloud.aiplatform.v1.CreateIndexEndpointOperationMetadata
@@ -35,6 +38,8 @@ types:
 - name: google.cloud.aiplatform.v1.ImportDataOperationMetadata
 - name: google.cloud.aiplatform.v1.ImportDataResponse
 - name: google.cloud.aiplatform.v1.SpecialistPool
+- name: google.cloud.aiplatform.v1.SuggestTrialsMetadata
+- name: google.cloud.aiplatform.v1.SuggestTrialsResponse
 - name: google.cloud.aiplatform.v1.UndeployIndexOperationMetadata
 - name: google.cloud.aiplatform.v1.UndeployIndexResponse
 - name: google.cloud.aiplatform.v1.UndeployModelOperationMetadata
@@ -97,6 +102,8 @@ backend:
     deadline: 600.0
   - selector: 'google.cloud.aiplatform.v1.SpecialistPoolService.*'
     deadline: 60.0
+  - selector: 'google.cloud.aiplatform.v1.VizierService.*'
+    deadline: 60.0
   - selector: google.cloud.location.Locations.GetLocation
     deadline: 30.0
   - selector: google.cloud.location.Locations.ListLocations
@@ -457,6 +464,10 @@ authentication:
     oauth:
       canonical_scopes: |-
         https://www.googleapis.com/auth/cloud-platform
+  - selector: 'google.cloud.aiplatform.v1.VizierService.*'
+    oauth:
+      canonical_scopes: |-
+        https://www.googleapis.com/auth/cloud-platform
   - selector: google.cloud.location.Locations.GetLocation
     oauth:
       canonical_scopes: |-

google/cloud/aiplatform/v1/job_service.proto

@@ -923,7 +923,33 @@ message UpdateModelDeploymentMonitoringJobRequest {
   // server.
   ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(google.api.field_behavior) = REQUIRED];
 
-  // Required. The update mask applies to the resource.
+  // 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.
+  //
+  // Updatable fields:
+  //
+  //   * `display_name`
+  //   * `model_deployment_monitoring_schedule_config`
+  //   * `model_monitoring_alert_config`
+  //   * `logging_sampling_strategy`
+  //   * `labels`
+  //   * `log_ttl`
+  //   * `enable_monitoring_pipeline_logs`
+  // .  and
+  //   * `model_deployment_monitoring_objective_configs`
+  // .  or
+  //   * `model_deployment_monitoring_objective_configs.objective_config.training_dataset`
+  //   * `model_deployment_monitoring_objective_configs.objective_config.training_prediction_skew_detection_config`
+  //   * `model_deployment_monitoring_objective_configs.objective_config.prediction_drift_detection_config`
   google.protobuf.FieldMask update_mask = 2 [(google.api.field_behavior) = REQUIRED];
 }