Class UpdateModelDeploymentMonitoringJobRequest (3.25.0)

public final class UpdateModelDeploymentMonitoringJobRequest extends GeneratedMessageV3 implements UpdateModelDeploymentMonitoringJobRequestOrBuilder

Request message for JobService.UpdateModelDeploymentMonitoringJob.

Protobuf type google.cloud.aiplatform.v1.UpdateModelDeploymentMonitoringJobRequest

Inheritance

Object > AbstractMessageLite<MessageType,BuilderType> > AbstractMessage > GeneratedMessageV3 > UpdateModelDeploymentMonitoringJobRequest
com.google.protobuf.GeneratedMessageV3.<ListT>makeMutableCopy(ListT)

Static Fields

MODEL_DEPLOYMENT_MONITORING_JOB_FIELD_NUMBER

public static final int MODEL_DEPLOYMENT_MONITORING_JOB_FIELD_NUMBER
Field Value
TypeDescription
int

UPDATE_MASK_FIELD_NUMBER

public static final int UPDATE_MASK_FIELD_NUMBER
Field Value
TypeDescription
int

Static Methods

getDefaultInstance()

public static UpdateModelDeploymentMonitoringJobRequest getDefaultInstance()

getDescriptor()

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

newBuilder()

public static UpdateModelDeploymentMonitoringJobRequest.Builder newBuilder()

newBuilder(UpdateModelDeploymentMonitoringJobRequest prototype)

public static UpdateModelDeploymentMonitoringJobRequest.Builder newBuilder(UpdateModelDeploymentMonitoringJobRequest prototype)
Parameter
NameDescription
prototypeUpdateModelDeploymentMonitoringJobRequest

parseDelimitedFrom(InputStream input)

public static UpdateModelDeploymentMonitoringJobRequest parseDelimitedFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Exceptions
TypeDescription
IOException

parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateModelDeploymentMonitoringJobRequest parseDelimitedFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Exceptions
TypeDescription
IOException

parseFrom(byte[] data)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(byte[] data)
Parameter
NameDescription
databyte[]
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(byte[] data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
databyte[]
extensionRegistryExtensionRegistryLite
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(ByteString data)
Parameter
NameDescription
dataByteString
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(ByteString data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteString
extensionRegistryExtensionRegistryLite
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(CodedInputStream input)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(CodedInputStream input)
Parameter
NameDescription
inputCodedInputStream
Exceptions
TypeDescription
IOException

parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputCodedInputStream
extensionRegistryExtensionRegistryLite
Exceptions
TypeDescription
IOException

parseFrom(InputStream input)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(InputStream input)
Parameter
NameDescription
inputInputStream
Exceptions
TypeDescription
IOException

parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(InputStream input, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
inputInputStream
extensionRegistryExtensionRegistryLite
Exceptions
TypeDescription
IOException

parseFrom(ByteBuffer data)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(ByteBuffer data)
Parameter
NameDescription
dataByteBuffer
Exceptions
TypeDescription
InvalidProtocolBufferException

parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)

public static UpdateModelDeploymentMonitoringJobRequest parseFrom(ByteBuffer data, ExtensionRegistryLite extensionRegistry)
Parameters
NameDescription
dataByteBuffer
extensionRegistryExtensionRegistryLite
Exceptions
TypeDescription
InvalidProtocolBufferException

parser()

public static Parser<UpdateModelDeploymentMonitoringJobRequest> parser()

Methods

equals(Object obj)

public boolean equals(Object obj)
Parameter
NameDescription
objObject
Returns
TypeDescription
boolean
Overrides

getDefaultInstanceForType()

public UpdateModelDeploymentMonitoringJobRequest getDefaultInstanceForType()

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
TypeDescription
ModelDeploymentMonitoringJob

The modelDeploymentMonitoringJob.

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];

getParserForType()

public Parser<UpdateModelDeploymentMonitoringJobRequest> getParserForType()
Overrides

getSerializedSize()

public int getSerializedSize()
Returns
TypeDescription
int
Overrides

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.

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.v1.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.

hashCode()

public int hashCode()
Returns
TypeDescription
int
Overrides

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
TypeDescription
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
TypeDescription
boolean
Overrides

newBuilderForType()

public UpdateModelDeploymentMonitoringJobRequest.Builder newBuilderForType()

newBuilderForType(GeneratedMessageV3.BuilderParent parent)

protected UpdateModelDeploymentMonitoringJobRequest.Builder newBuilderForType(GeneratedMessageV3.BuilderParent parent)
Parameter
NameDescription
parentBuilderParent
Overrides

newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)

protected Object newInstance(GeneratedMessageV3.UnusedPrivateParameter unused)
Parameter
NameDescription
unusedUnusedPrivateParameter
Returns
TypeDescription
Object
Overrides

toBuilder()

public UpdateModelDeploymentMonitoringJobRequest.Builder toBuilder()

writeTo(CodedOutputStream output)

public void writeTo(CodedOutputStream output)
Parameter
NameDescription
outputCodedOutputStream
Overrides
Exceptions
TypeDescription
IOException