Package com.google.cloud.aiplatform.v1beta1

Class UpdateModelDeploymentMonitoringJobRequest.Builder

    • Method Detail

      • getDescriptor

        public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

      • internalGetFieldAccessorTable

        protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
        Specified by:
        internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>

      • getDescriptorForType

        public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
        Specified by:
        getDescriptorForType in interface com.google.protobuf.Message.Builder
        Specified by:
        getDescriptorForType in interface com.google.protobuf.MessageOrBuilder
        Overrides:
        getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>

      • getDefaultInstanceForType

        public UpdateModelDeploymentMonitoringJobRequest getDefaultInstanceForType()
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder
        Specified by:
        getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

      • build

        public UpdateModelDeploymentMonitoringJobRequest build()
        Specified by:
        build in interface com.google.protobuf.Message.Builder
        Specified by:
        build in interface com.google.protobuf.MessageLite.Builder

      • buildPartial

        public UpdateModelDeploymentMonitoringJobRequest buildPartial()
        Specified by:
        buildPartial in interface com.google.protobuf.Message.Builder
        Specified by:
        buildPartial in interface com.google.protobuf.MessageLite.Builder

      • isInitialized

        public final boolean isInitialized()
        Specified by:
        isInitialized in interface com.google.protobuf.MessageLiteOrBuilder
        Overrides:
        isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder>

      • hasModelDeploymentMonitoringJob

        public boolean hasModelDeploymentMonitoringJob()
         Required. The model monitoring configuration which replaces the resource on
 the server.
        .google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];
        Specified by:
        hasModelDeploymentMonitoringJob in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
        Returns:
        Whether the modelDeploymentMonitoringJob field is set.

      • setModelDeploymentMonitoringJob

        public UpdateModelDeploymentMonitoringJobRequest.Builder setModelDeploymentMonitoringJob​(ModelDeploymentMonitoringJob value)
         Required. The model monitoring configuration which replaces the resource on
 the server.
        .google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];

      • mergeModelDeploymentMonitoringJob

        public UpdateModelDeploymentMonitoringJobRequest.Builder mergeModelDeploymentMonitoringJob​(ModelDeploymentMonitoringJob value)
         Required. The model monitoring configuration which replaces the resource on
 the server.
        .google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];

      • clearModelDeploymentMonitoringJob

        public UpdateModelDeploymentMonitoringJobRequest.Builder clearModelDeploymentMonitoringJob()
         Required. The model monitoring configuration which replaces the resource on
 the server.
        .google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];

      • getModelDeploymentMonitoringJobBuilder

        public ModelDeploymentMonitoringJob.Builder getModelDeploymentMonitoringJobBuilder()
         Required. The model monitoring configuration which replaces the resource on
 the server.
        .google.cloud.aiplatform.v1beta1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];

      • hasUpdateMask

        public 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];
        Specified by:
        hasUpdateMask in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
        Returns:
        Whether the updateMask field is set.

      • getUpdateMask

        public 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];
        Specified by:
        getUpdateMask in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
        Returns:
        The updateMask.

      • setUpdateMask

        public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask​(com.google.protobuf.FieldMask value)
         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];

      • setUpdateMask

        public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask​(com.google.protobuf.FieldMask.Builder builderForValue)
         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];

      • mergeUpdateMask

        public UpdateModelDeploymentMonitoringJobRequest.Builder mergeUpdateMask​(com.google.protobuf.FieldMask value)
         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];

      • clearUpdateMask

        public UpdateModelDeploymentMonitoringJobRequest.Builder clearUpdateMask()
         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];

      • getUpdateMaskBuilder

        public com.google.protobuf.FieldMask.Builder getUpdateMaskBuilder()
         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];

      • getUpdateMaskOrBuilder

        public 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];
        Specified by:
        getUpdateMaskOrBuilder in interface UpdateModelDeploymentMonitoringJobRequestOrBuilder