feat: add Vizier service to aiplatform v1 (#197)

feat: add XAI, model monitoring, and index services to aiplatform v1 Committer: @dizcology PiperOrigin-RevId: 394116440 PiperOrigin-RevId: 393860361 See https://github.com/googleapis/repo-automation-bots/blob/main/packages/owl-bot/README.md Co-authored-by: Owl Bot <gcf-owl-bot[bot]@users.noreply.github.com>
googleapis · Sep 15, 2021 · 4ec22c8 · 4ec22c8
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diff --git a/packages/google-cloud-aiplatform/protos/google/cloud/aiplatform/v1/job_service.proto b/packages/google-cloud-aiplatform/protos/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];
 }
 

diff --git a/packages/google-cloud-aiplatform/src/v1/job_service_client.ts b/packages/google-cloud-aiplatform/src/v1/job_service_client.ts
@@ -2799,7 +2799,33 @@ export class JobServiceClient {
    *   Required. The model monitoring configuration which replaces the resource on the
    *   server.
    * @param {google.protobuf.FieldMask} request.updateMask
-   *   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`
    * @param {object} [options]
    *   Call options. See {@link https://googleapis.dev/nodejs/google-gax/latest/interfaces/CallOptions.html|CallOptions} for more details.
    * @returns {Promise} - The promise which resolves to an array.