Package com.google.cloud.aiplatform.v1

Interface UpdateModelDeploymentMonitoringJobRequestOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
UpdateModelDeploymentMonitoringJobRequest, UpdateModelDeploymentMonitoringJobRequest.Builder
@Generated public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasModelDeploymentMonitoringJob

      boolean hasModelDeploymentMonitoringJob()
       Required. The model monitoring configuration which replaces the resource on
 the server.
      .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      Whether the modelDeploymentMonitoringJob field is set.

    • getModelDeploymentMonitoringJob

      ModelDeploymentMonitoringJob getModelDeploymentMonitoringJob()
       Required. The model monitoring configuration which replaces the resource on
 the server.
      .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
      Returns:
      The modelDeploymentMonitoringJob.

    • getModelDeploymentMonitoringJobOrBuilder

      ModelDeploymentMonitoringJobOrBuilder getModelDeploymentMonitoringJobOrBuilder()
       Required. The model monitoring configuration which replaces the resource on
 the server.
      .google.cloud.aiplatform.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];

    • hasUpdateMask

      boolean hasUpdateMask()
       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];
      Returns:
      Whether the updateMask field is set.

    • getUpdateMask

      com.google.protobuf.FieldMask getUpdateMask()
       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];
      Returns:
      The updateMask.

    • getUpdateMaskOrBuilder

      com.google.protobuf.FieldMaskOrBuilder getUpdateMaskOrBuilder()
       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];