Class UpdateModelDeploymentMonitoringJobRequest.Builder (3.46.0)

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
Type Description
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public UpdateModelDeploymentMonitoringJobRequest.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

build()

public UpdateModelDeploymentMonitoringJobRequest build()
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest

buildPartial()

public UpdateModelDeploymentMonitoringJobRequest buildPartial()
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest

clear()

public UpdateModelDeploymentMonitoringJobRequest.Builder clear()
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

clearField(Descriptors.FieldDescriptor field)

public UpdateModelDeploymentMonitoringJobRequest.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
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
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public UpdateModelDeploymentMonitoringJobRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
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
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder

clone()

public UpdateModelDeploymentMonitoringJobRequest.Builder clone()
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

getDefaultInstanceForType()

public UpdateModelDeploymentMonitoringJobRequest getDefaultInstanceForType()
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
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
Type Description
boolean

Whether the updateMask field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

mergeFrom(UpdateModelDeploymentMonitoringJobRequest other)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(UpdateModelDeploymentMonitoringJobRequest other)
Parameter
Name Description
other UpdateModelDeploymentMonitoringJobRequest
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
Name Description
input CodedInputStream
extensionRegistry ExtensionRegistryLite
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides
Exceptions
Type Description
IOException

mergeFrom(Message other)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
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
Name Description
value ModelDeploymentMonitoringJob
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final UpdateModelDeploymentMonitoringJobRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
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
Name Description
value FieldMask
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public UpdateModelDeploymentMonitoringJobRequest.Builder setField(Descriptors.FieldDescriptor field, Object value)
Parameters
Name Description
field FieldDescriptor
value Object
Returns
Type Description
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
Name Description
value ModelDeploymentMonitoringJob
Returns
Type Description
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
Name Description
builderForValue ModelDeploymentMonitoringJob.Builder
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder

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

public UpdateModelDeploymentMonitoringJobRequest.Builder setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)
Parameters
Name Description
field FieldDescriptor
index int
value Object
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder
Overrides

setUnknownFields(UnknownFieldSet unknownFields)

public final UpdateModelDeploymentMonitoringJobRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
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
Name Description
value FieldMask
Returns
Type Description
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
Name Description
builderForValue Builder
Returns
Type Description
UpdateModelDeploymentMonitoringJobRequest.Builder