com.google.cloud.aiplatform.v1beta1

Interface UpdateModelDeploymentMonitoringJobRequestOrBuilder

All Superinterfaces:

com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder

All Known Implementing Classes:

UpdateModelDeploymentMonitoringJobRequest, UpdateModelDeploymentMonitoringJobRequest.Builder

public interface UpdateModelDeploymentMonitoringJobRequestOrBuilder
extends com.google.protobuf.MessageOrBuilder

Method Summary

Modifier and Type	Method and Description
ModelDeploymentMonitoringJob	getModelDeploymentMonitoringJob() Required.
ModelDeploymentMonitoringJobOrBuilder	getModelDeploymentMonitoringJobOrBuilder() Required.
com.google.protobuf.FieldMask	getUpdateMask() Required.
com.google.protobuf.FieldMaskOrBuilder	getUpdateMaskOrBuilder() Required.
boolean	hasModelDeploymentMonitoringJob() Required.
boolean	hasUpdateMask() Required.

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getDefaultInstanceForType, getDescriptorForType, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.MessageLiteOrBuilder

isInitialized

Method Detail

hasModelDeploymentMonitoringJob

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];

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.v1beta1.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.v1beta1.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];