Class UpdateModelDeploymentMonitoringJobRequest.Builder (3.84.0)

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

Request message for JobService.UpdateModelDeploymentMonitoringJob.

Protobuf type google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > UpdateModelDeploymentMonitoringJobRequest.Builder

Implements

UpdateModelDeploymentMonitoringJobRequestOrBuilder

Inherited Members

AbstractMessage.Builder.findInitializationErrors()

AbstractMessage.Builder.getInitializationErrorString()

AbstractMessage.Builder.internalMergeFrom(AbstractMessageLite)

AbstractMessage.Builder.mergeFrom(byte[])

AbstractMessage.Builder.mergeFrom(byte[],ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(byte[],int,int)

AbstractMessage.Builder.mergeFrom(byte[],int,int,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(ByteString)

AbstractMessage.Builder.mergeFrom(ByteString,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(CodedInputStream)

AbstractMessage.Builder.mergeFrom(CodedInputStream,ExtensionRegistryLite)

AbstractMessage.Builder.mergeFrom(Message)

AbstractMessage.Builder.mergeFrom(InputStream)

AbstractMessage.Builder.mergeFrom(InputStream,ExtensionRegistryLite)

AbstractMessage.Builder.newUninitializedMessageException(Message)

AbstractMessage.Builder.toString()

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,Collection<? super T>)

AbstractMessageLite.Builder.<T>addAll(Iterable<T>,List<? super T>)

AbstractMessageLite.Builder.internalMergeFrom(MessageType)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream)

AbstractMessageLite.Builder.mergeDelimitedFrom(InputStream,ExtensionRegistryLite)

AbstractMessageLite.Builder.mergeFrom(MessageLite)

AbstractMessageLite.Builder.newUninitializedMessageException(MessageLite)

GeneratedMessage.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

GeneratedMessage.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.UnknownFieldSet)

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()

Returns
Type	Description
Descriptor

Methods

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

GeneratedMessage.Builder<BuilderType>.clear()

clearModelDeploymentMonitoringJob()

public UpdateModelDeploymentMonitoringJobRequest.Builder clearModelDeploymentMonitoringJob()

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
Type	Description
UpdateModelDeploymentMonitoringJobRequest.Builder

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

getDefaultInstanceForType()

public UpdateModelDeploymentMonitoringJobRequest getDefaultInstanceForType()

Returns
Type	Description
UpdateModelDeploymentMonitoringJobRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getModelDeploymentMonitoringJob()

public 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
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.v1.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.v1.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.v1.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 GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

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

AbstractMessage.Builder<BuilderType>.mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
UpdateModelDeploymentMonitoringJobRequest.Builder

Overrides

AbstractMessage.Builder<BuilderType>.mergeFrom(Message other)

mergeModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)

public UpdateModelDeploymentMonitoringJobRequest.Builder mergeModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)

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];

Parameter
Name	Description
value	ModelDeploymentMonitoringJob

Returns
Type	Description
UpdateModelDeploymentMonitoringJobRequest.Builder

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

setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)

public UpdateModelDeploymentMonitoringJobRequest.Builder setModelDeploymentMonitoringJob(ModelDeploymentMonitoringJob value)

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];

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.v1.ModelDeploymentMonitoringJob model_deployment_monitoring_job = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	ModelDeploymentMonitoringJob.Builder

Returns
Type	Description
UpdateModelDeploymentMonitoringJobRequest.Builder

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