Class UpdateModelDeploymentMonitoringJobRequest.Builder (3.10.0)

public static final class UpdateModelDeploymentMonitoringJobRequest.Builder extends GeneratedMessageV3.Builder<UpdateModelDeploymentMonitoringJobRequest.Builder> implements UpdateModelDeploymentMonitoringJobRequestOrBuilder

Request message for JobService.UpdateModelDeploymentMonitoringJob.

Protobuf type google.cloud.aiplatform.v1beta1.UpdateModelDeploymentMonitoringJobRequest

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public UpdateModelDeploymentMonitoringJobRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

build()

public UpdateModelDeploymentMonitoringJobRequest build()
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest

buildPartial()

public UpdateModelDeploymentMonitoringJobRequest buildPartial()
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest

clear()

public UpdateModelDeploymentMonitoringJobRequest.Builder clear()
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public UpdateModelDeploymentMonitoringJobRequest.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

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];

Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public UpdateModelDeploymentMonitoringJobRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

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];

Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

clone()

public UpdateModelDeploymentMonitoringJobRequest.Builder clone()
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

getDefaultInstanceForType()

public UpdateModelDeploymentMonitoringJobRequest getDefaultInstanceForType()
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getModelDeploymentMonitoringJob()

public 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
TypeDescription
ModelDeploymentMonitoringJob

The modelDeploymentMonitoringJob.

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];

Returns
TypeDescription
ModelDeploymentMonitoringJob.Builder

getModelDeploymentMonitoringJobOrBuilder()

public 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];

Returns
TypeDescription
ModelDeploymentMonitoringJobOrBuilder

getUpdateMask()

public 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
TypeDescription
FieldMask

The updateMask.

getUpdateMaskBuilder()

public 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];

Returns
TypeDescription
Builder

getUpdateMaskOrBuilder()

public 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];

Returns
TypeDescription
FieldMaskOrBuilder

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];

Returns
TypeDescription
boolean

Whether the modelDeploymentMonitoringJob field is set.

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];

Returns
TypeDescription
boolean

Whether the updateMask field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

mergeFrom(UpdateModelDeploymentMonitoringJobRequest other)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(UpdateModelDeploymentMonitoringJobRequest other)
Parameter
NameDescription
otherUpdateModelDeploymentMonitoringJobRequest
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides Exceptions
TypeDescription
IOException

mergeFrom(Message other)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(Message other)
Parameter
NameDescription
otherMessage
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

mergeModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)

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];

Parameter
NameDescription
valueModelDeploymentMonitoringJob
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final UpdateModelDeploymentMonitoringJobRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

mergeUpdateMask(FieldMask value)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeUpdateMask(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];

Parameter
NameDescription
valueFieldMask
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public UpdateModelDeploymentMonitoringJobRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)

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];

Parameter
NameDescription
valueModelDeploymentMonitoringJob
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob.Builder builderForValue)

public UpdateModelDeploymentMonitoringJobRequest.Builder setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob.Builder builderForValue)

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];

Parameter
NameDescription
builderForValueModelDeploymentMonitoringJob.Builder
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

public UpdateModelDeploymentMonitoringJobRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
NameDescription
fieldFieldDescriptor
indexint
valueObject
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final UpdateModelDeploymentMonitoringJobRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
NameDescription
unknownFieldsUnknownFieldSet
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

setUpdateMask(FieldMask value)

public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask(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];

Parameter
NameDescription
valueFieldMask
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder

setUpdateMask(FieldMask.Builder builderForValue)

public UpdateModelDeploymentMonitoringJobRequest.Builder setUpdateMask(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];

Parameter
NameDescription
builderForValueBuilder
Returns
TypeDescription
UpdateModelDeploymentMonitoringJobRequest.Builder