Class ModelMonitoringJobExecutionDetail.Builder (3.79.0)

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public static final class ModelMonitoringJobExecutionDetail.Builder extends GeneratedMessageV3.Builder<ModelMonitoringJobExecutionDetail.Builder> implements ModelMonitoringJobExecutionDetailOrBuilder

Represent the execution details of the job.

Protobuf type google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail

Inheritance

Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessageV3.Builder > ModelMonitoringJobExecutionDetail.Builder

Implements

ModelMonitoringJobExecutionDetailOrBuilder

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)

GeneratedMessageV3.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.clear()

GeneratedMessageV3.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.clone()

GeneratedMessageV3.Builder.getAllFields()

GeneratedMessageV3.Builder.getDescriptorForType()

GeneratedMessageV3.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.getParentForChildren()

GeneratedMessageV3.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessageV3.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessageV3.Builder.getUnknownFieldSetBuilder()

GeneratedMessageV3.Builder.getUnknownFields()

GeneratedMessageV3.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessageV3.Builder.internalGetFieldAccessorTable()

GeneratedMessageV3.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

GeneratedMessageV3.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessageV3.Builder.isClean()

GeneratedMessageV3.Builder.isInitialized()

GeneratedMessageV3.Builder.markClean()

GeneratedMessageV3.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessageV3.Builder.mergeUnknownVarintField(int,int)

GeneratedMessageV3.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessageV3.Builder.onBuilt()

GeneratedMessageV3.Builder.onChanged()

com.google.protobuf.GeneratedMessageV3.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessageV3.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessageV3.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessageV3.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessageV3.Builder.setUnknownFields(UnknownFieldSet)

GeneratedMessageV3.Builder.setUnknownFieldsProto3(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

addAllBaselineDatasets(Iterable<? extends ModelMonitoringJobExecutionDetail.ProcessedDataset> values)

public ModelMonitoringJobExecutionDetail.Builder addAllBaselineDatasets(Iterable<? extends ModelMonitoringJobExecutionDetail.ProcessedDataset> values)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset>

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addAllTargetDatasets(Iterable<? extends ModelMonitoringJobExecutionDetail.ProcessedDataset> values)

public ModelMonitoringJobExecutionDetail.Builder addAllTargetDatasets(Iterable<? extends ModelMonitoringJobExecutionDetail.ProcessedDataset> values)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset>

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addBaselineDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset value)

public ModelMonitoringJobExecutionDetail.Builder addBaselineDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset value)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
value	ModelMonitoringJobExecutionDetail.ProcessedDataset

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addBaselineDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

public ModelMonitoringJobExecutionDetail.Builder addBaselineDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
builderForValue	ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

public ModelMonitoringJobExecutionDetail.Builder addBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameters
Name	Description
index	int
value	ModelMonitoringJobExecutionDetail.ProcessedDataset

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

public ModelMonitoringJobExecutionDetail.Builder addBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameters
Name	Description
index	int
builderForValue	ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addBaselineDatasetsBuilder()

public ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder addBaselineDatasetsBuilder()

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

addBaselineDatasetsBuilder(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder addBaselineDatasetsBuilder(int index)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringJobExecutionDetail.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.addRepeatedField(Descriptors.FieldDescriptor field, Object value)

addTargetDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset value)

public ModelMonitoringJobExecutionDetail.Builder addTargetDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset value)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
value	ModelMonitoringJobExecutionDetail.ProcessedDataset

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addTargetDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

public ModelMonitoringJobExecutionDetail.Builder addTargetDatasets(ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
builderForValue	ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

public ModelMonitoringJobExecutionDetail.Builder addTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameters
Name	Description
index	int
value	ModelMonitoringJobExecutionDetail.ProcessedDataset

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

public ModelMonitoringJobExecutionDetail.Builder addTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameters
Name	Description
index	int
builderForValue	ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

addTargetDatasetsBuilder()

public ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder addTargetDatasetsBuilder()

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

addTargetDatasetsBuilder(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder addTargetDatasetsBuilder(int index)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

build()

public ModelMonitoringJobExecutionDetail build()

Returns
Type	Description
ModelMonitoringJobExecutionDetail

buildPartial()

public ModelMonitoringJobExecutionDetail buildPartial()

Returns
Type	Description
ModelMonitoringJobExecutionDetail

clear()

public ModelMonitoringJobExecutionDetail.Builder clear()

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearBaselineDatasets()

public ModelMonitoringJobExecutionDetail.Builder clearBaselineDatasets()

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

clearError()

public ModelMonitoringJobExecutionDetail.Builder clearError()

Additional job error status.

.google.rpc.Status error = 4;

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

clearField(Descriptors.FieldDescriptor field)

public ModelMonitoringJobExecutionDetail.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearField(Descriptors.FieldDescriptor field)

clearObjectiveStatus()

public ModelMonitoringJobExecutionDetail.Builder clearObjectiveStatus()

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public ModelMonitoringJobExecutionDetail.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clearOneof(Descriptors.OneofDescriptor oneof)

clearTargetDatasets()

public ModelMonitoringJobExecutionDetail.Builder clearTargetDatasets()

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

clone()

public ModelMonitoringJobExecutionDetail.Builder clone()

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

containsObjectiveStatus(String key)

public boolean containsObjectiveStatus(String key)

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Parameter
Name	Description
key	String

Returns
Type	Description
boolean

getBaselineDatasets(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDataset getBaselineDatasets(int index)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset

getBaselineDatasetsBuilder(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder getBaselineDatasetsBuilder(int index)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

getBaselineDatasetsBuilderList()

public List<ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder> getBaselineDatasetsBuilderList()

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Returns
Type	Description
List<Builder>

getBaselineDatasetsCount()

public int getBaselineDatasetsCount()

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Returns
Type	Description
int

getBaselineDatasetsList()

public List<ModelMonitoringJobExecutionDetail.ProcessedDataset> getBaselineDatasetsList()

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Returns
Type	Description
List<ProcessedDataset>

getBaselineDatasetsOrBuilder(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder getBaselineDatasetsOrBuilder(int index)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder

getBaselineDatasetsOrBuilderList()

public List<? extends ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder> getBaselineDatasetsOrBuilderList()

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder>

getDefaultInstanceForType()

public ModelMonitoringJobExecutionDetail getDefaultInstanceForType()

Returns
Type	Description
ModelMonitoringJobExecutionDetail

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getError()

public Status getError()

Additional job error status.

.google.rpc.Status error = 4;

Returns
Type	Description
com.google.rpc.Status	The error.

getErrorBuilder()

public Status.Builder getErrorBuilder()

Additional job error status.

.google.rpc.Status error = 4;

Returns
Type	Description
com.google.rpc.Status.Builder

getErrorOrBuilder()

public StatusOrBuilder getErrorOrBuilder()

Additional job error status.

.google.rpc.Status error = 4;

Returns
Type	Description
com.google.rpc.StatusOrBuilder

getMutableObjectiveStatus() (deprecated)

public Map<String,Status> getMutableObjectiveStatus()

Use alternate mutation accessors instead.

Returns
Type	Description
Map<String,com.google.rpc.Status>

getObjectiveStatus() (deprecated)

public Map<String,Status> getObjectiveStatus()

Use #getObjectiveStatusMap() instead.

Returns
Type	Description
Map<String,com.google.rpc.Status>

getObjectiveStatusCount()

public int getObjectiveStatusCount()

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Returns
Type	Description
int

getObjectiveStatusMap()

public Map<String,Status> getObjectiveStatusMap()

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Returns
Type	Description
Map<String,com.google.rpc.Status>

getObjectiveStatusOrDefault(String key, Status defaultValue)

public Status getObjectiveStatusOrDefault(String key, Status defaultValue)

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Parameters
Name	Description
key	String
defaultValue	com.google.rpc.Status

Returns
Type	Description
com.google.rpc.Status

getObjectiveStatusOrThrow(String key)

public Status getObjectiveStatusOrThrow(String key)

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Parameter
Name	Description
key	String

Returns
Type	Description
com.google.rpc.Status

getTargetDatasets(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDataset getTargetDatasets(int index)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset

getTargetDatasetsBuilder(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder getTargetDatasetsBuilder(int index)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

getTargetDatasetsBuilderList()

public List<ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder> getTargetDatasetsBuilderList()

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Returns
Type	Description
List<Builder>

getTargetDatasetsCount()

public int getTargetDatasetsCount()

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Returns
Type	Description
int

getTargetDatasetsList()

public List<ModelMonitoringJobExecutionDetail.ProcessedDataset> getTargetDatasetsList()

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Returns
Type	Description
List<ProcessedDataset>

getTargetDatasetsOrBuilder(int index)

public ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder getTargetDatasetsOrBuilder(int index)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder

getTargetDatasetsOrBuilderList()

public List<? extends ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder> getTargetDatasetsOrBuilderList()

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDatasetOrBuilder>

hasError()

public boolean hasError()

Additional job error status.

.google.rpc.Status error = 4;

Returns
Type	Description
boolean	Whether the error field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

internalGetMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMapFieldReflection(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
com.google.protobuf.MapFieldReflectionAccessor

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMapFieldReflection(int)

internalGetMutableMapFieldReflection(int number)

protected MapFieldReflectionAccessor internalGetMutableMapFieldReflection(int number)

Parameter
Name	Description
number	int

Returns
Type	Description
com.google.protobuf.MapFieldReflectionAccessor

Overrides

com.google.protobuf.GeneratedMessageV3.Builder.internalGetMutableMapFieldReflection(int)

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeError(Status value)

public ModelMonitoringJobExecutionDetail.Builder mergeError(Status value)

Additional job error status.

.google.rpc.Status error = 4;

Parameter
Name	Description
value	com.google.rpc.Status

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

mergeFrom(ModelMonitoringJobExecutionDetail other)

public ModelMonitoringJobExecutionDetail.Builder mergeFrom(ModelMonitoringJobExecutionDetail other)

Parameter
Name	Description
other	ModelMonitoringJobExecutionDetail

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public ModelMonitoringJobExecutionDetail.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ModelMonitoringJobExecutionDetail.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringJobExecutionDetail.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.mergeUnknownFields(UnknownFieldSet unknownFields)

putAllObjectiveStatus(Map<String,Status> values)

public ModelMonitoringJobExecutionDetail.Builder putAllObjectiveStatus(Map<String,Status> values)

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Parameter
Name	Description
values	Map<String,com.google.rpc.Status>

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

putObjectiveStatus(String key, Status value)

public ModelMonitoringJobExecutionDetail.Builder putObjectiveStatus(String key, Status value)

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Parameters
Name	Description
key	String
value	com.google.rpc.Status

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

putObjectiveStatusBuilderIfAbsent(String key)

public Status.Builder putObjectiveStatusBuilderIfAbsent(String key)

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Parameter
Name	Description
key	String

Returns
Type	Description
com.google.rpc.Status.Builder

removeBaselineDatasets(int index)

public ModelMonitoringJobExecutionDetail.Builder removeBaselineDatasets(int index)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

removeObjectiveStatus(String key)

public ModelMonitoringJobExecutionDetail.Builder removeObjectiveStatus(String key)

Status of data processing for each monitoring objective. Key is the objective.

map<string, .google.rpc.Status> objective_status = 3;

Parameter
Name	Description
key	String

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

removeTargetDatasets(int index)

public ModelMonitoringJobExecutionDetail.Builder removeTargetDatasets(int index)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameter
Name	Description
index	int

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

setBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

public ModelMonitoringJobExecutionDetail.Builder setBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameters
Name	Description
index	int
value	ModelMonitoringJobExecutionDetail.ProcessedDataset

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

setBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

public ModelMonitoringJobExecutionDetail.Builder setBaselineDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

Processed baseline datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset baseline_datasets = 1;

Parameters
Name	Description
index	int
builderForValue	ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

setError(Status value)

public ModelMonitoringJobExecutionDetail.Builder setError(Status value)

Additional job error status.

.google.rpc.Status error = 4;

Parameter
Name	Description
value	com.google.rpc.Status

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

setError(Status.Builder builderForValue)

public ModelMonitoringJobExecutionDetail.Builder setError(Status.Builder builderForValue)

Additional job error status.

.google.rpc.Status error = 4;

Parameter
Name	Description
builderForValue	com.google.rpc.Status.Builder

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

setField(Descriptors.FieldDescriptor field, Object value)

public ModelMonitoringJobExecutionDetail.Builder setField(Descriptors.FieldDescriptor field, Object value)

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setField(Descriptors.FieldDescriptor field, Object value)

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setRepeatedField(Descriptors.FieldDescriptor field, int index, Object value)

setTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

public ModelMonitoringJobExecutionDetail.Builder setTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset value)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameters
Name	Description
index	int
value	ModelMonitoringJobExecutionDetail.ProcessedDataset

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

setTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

public ModelMonitoringJobExecutionDetail.Builder setTargetDatasets(int index, ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder builderForValue)

Processed target datasets.

repeated .google.cloud.aiplatform.v1beta1.ModelMonitoringJobExecutionDetail.ProcessedDataset target_datasets = 2;

Parameters
Name	Description
index	int
builderForValue	ModelMonitoringJobExecutionDetail.ProcessedDataset.Builder

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final ModelMonitoringJobExecutionDetail.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ModelMonitoringJobExecutionDetail.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.setUnknownFields(UnknownFieldSet unknownFields)