Class EvaluateDatasetRequest.Builder (3.59.0)

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public static final class EvaluateDatasetRequest.Builder extends GeneratedMessageV3.Builder<EvaluateDatasetRequest.Builder> implements EvaluateDatasetRequestOrBuilder

Request message for EvaluationService.EvaluateDataset.

Protobuf type google.cloud.aiplatform.v1beta1.EvaluateDatasetRequest

Inheritance

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

Implements

EvaluateDatasetRequestOrBuilder

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

addAllMetrics(Iterable<? extends Metric> values)

public EvaluateDatasetRequest.Builder addAllMetrics(Iterable<? extends Metric> values)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

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

Returns
Type	Description
EvaluateDatasetRequest.Builder

addMetrics(Metric value)

public EvaluateDatasetRequest.Builder addMetrics(Metric value)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	Metric

Returns
Type	Description
EvaluateDatasetRequest.Builder

addMetrics(Metric.Builder builderForValue)

public EvaluateDatasetRequest.Builder addMetrics(Metric.Builder builderForValue)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	Metric.Builder

Returns
Type	Description
EvaluateDatasetRequest.Builder

addMetrics(int index, Metric value)

public EvaluateDatasetRequest.Builder addMetrics(int index, Metric value)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	Metric

Returns
Type	Description
EvaluateDatasetRequest.Builder

addMetrics(int index, Metric.Builder builderForValue)

public EvaluateDatasetRequest.Builder addMetrics(int index, Metric.Builder builderForValue)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	Metric.Builder

Returns
Type	Description
EvaluateDatasetRequest.Builder

addMetricsBuilder()

public Metric.Builder addMetricsBuilder()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
Metric.Builder

addMetricsBuilder(int index)

public Metric.Builder addMetricsBuilder(int index)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
Metric.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

build()

public EvaluateDatasetRequest build()

Returns
Type	Description
EvaluateDatasetRequest

buildPartial()

public EvaluateDatasetRequest buildPartial()

Returns
Type	Description
EvaluateDatasetRequest

clear()

public EvaluateDatasetRequest.Builder clear()

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAutoraterConfig()

public EvaluateDatasetRequest.Builder clearAutoraterConfig()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
EvaluateDatasetRequest.Builder

clearDataset()

public EvaluateDatasetRequest.Builder clearDataset()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
EvaluateDatasetRequest.Builder

clearField(Descriptors.FieldDescriptor field)

public EvaluateDatasetRequest.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

clearLocation()

public EvaluateDatasetRequest.Builder clearLocation()

Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}

string location = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
EvaluateDatasetRequest.Builder	This builder for chaining.

clearMetrics()

public EvaluateDatasetRequest.Builder clearMetrics()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
EvaluateDatasetRequest.Builder

clearOneof(Descriptors.OneofDescriptor oneof)

public EvaluateDatasetRequest.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

clearOutputConfig()

public EvaluateDatasetRequest.Builder clearOutputConfig()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
EvaluateDatasetRequest.Builder

clone()

public EvaluateDatasetRequest.Builder clone()

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAutoraterConfig()

public AutoraterConfig getAutoraterConfig()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
AutoraterConfig	The autoraterConfig.

getAutoraterConfigBuilder()

public AutoraterConfig.Builder getAutoraterConfigBuilder()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
AutoraterConfig.Builder

getAutoraterConfigOrBuilder()

public AutoraterConfigOrBuilder getAutoraterConfigOrBuilder()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
AutoraterConfigOrBuilder

getDataset()

public EvaluationDataset getDataset()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
EvaluationDataset	The dataset.

getDatasetBuilder()

public EvaluationDataset.Builder getDatasetBuilder()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
EvaluationDataset.Builder

getDatasetOrBuilder()

public EvaluationDatasetOrBuilder getDatasetOrBuilder()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
EvaluationDatasetOrBuilder

getDefaultInstanceForType()

public EvaluateDatasetRequest getDefaultInstanceForType()

Returns
Type	Description
EvaluateDatasetRequest

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getLocation()

public String getLocation()

Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}

string location = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
String	The location.

getLocationBytes()

public ByteString getLocationBytes()

Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}

string location = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Returns
Type	Description
ByteString	The bytes for location.

getMetrics(int index)

public Metric getMetrics(int index)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
Metric

getMetricsBuilder(int index)

public Metric.Builder getMetricsBuilder(int index)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
Metric.Builder

getMetricsBuilderList()

public List<Metric.Builder> getMetricsBuilderList()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<Builder>

getMetricsCount()

public int getMetricsCount()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
int

getMetricsList()

public List<Metric> getMetricsList()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<Metric>

getMetricsOrBuilder(int index)

public MetricOrBuilder getMetricsOrBuilder(int index)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
MetricOrBuilder

getMetricsOrBuilderList()

public List<? extends MetricOrBuilder> getMetricsOrBuilderList()

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

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

getOutputConfig()

public OutputConfig getOutputConfig()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
OutputConfig	The outputConfig.

getOutputConfigBuilder()

public OutputConfig.Builder getOutputConfigBuilder()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
OutputConfig.Builder

getOutputConfigOrBuilder()

public OutputConfigOrBuilder getOutputConfigOrBuilder()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
OutputConfigOrBuilder

hasAutoraterConfig()

public boolean hasAutoraterConfig()

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the autoraterConfig field is set.

hasDataset()

public boolean hasDataset()

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
boolean	Whether the dataset field is set.

hasOutputConfig()

public boolean hasOutputConfig()

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
boolean	Whether the outputConfig field is set.

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessageV3.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessageV3.Builder<BuilderType>.isInitialized()

mergeAutoraterConfig(AutoraterConfig value)

public EvaluateDatasetRequest.Builder mergeAutoraterConfig(AutoraterConfig value)

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	AutoraterConfig

Returns
Type	Description
EvaluateDatasetRequest.Builder

mergeDataset(EvaluationDataset value)

public EvaluateDatasetRequest.Builder mergeDataset(EvaluationDataset value)

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	EvaluationDataset

Returns
Type	Description
EvaluateDatasetRequest.Builder

mergeFrom(EvaluateDatasetRequest other)

public EvaluateDatasetRequest.Builder mergeFrom(EvaluateDatasetRequest other)

Parameter
Name	Description
other	EvaluateDatasetRequest

Returns
Type	Description
EvaluateDatasetRequest.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public EvaluateDatasetRequest.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

mergeOutputConfig(OutputConfig value)

public EvaluateDatasetRequest.Builder mergeOutputConfig(OutputConfig value)

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	OutputConfig

Returns
Type	Description
EvaluateDatasetRequest.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final EvaluateDatasetRequest.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

removeMetrics(int index)

public EvaluateDatasetRequest.Builder removeMetrics(int index)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
EvaluateDatasetRequest.Builder

setAutoraterConfig(AutoraterConfig value)

public EvaluateDatasetRequest.Builder setAutoraterConfig(AutoraterConfig value)

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	AutoraterConfig

Returns
Type	Description
EvaluateDatasetRequest.Builder

setAutoraterConfig(AutoraterConfig.Builder builderForValue)

public EvaluateDatasetRequest.Builder setAutoraterConfig(AutoraterConfig.Builder builderForValue)

Optional. Autorater config used for evaluation.

.google.cloud.aiplatform.v1beta1.AutoraterConfig autorater_config = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
builderForValue	AutoraterConfig.Builder

Returns
Type	Description
EvaluateDatasetRequest.Builder

setDataset(EvaluationDataset value)

public EvaluateDatasetRequest.Builder setDataset(EvaluationDataset value)

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	EvaluationDataset

Returns
Type	Description
EvaluateDatasetRequest.Builder

setDataset(EvaluationDataset.Builder builderForValue)

public EvaluateDatasetRequest.Builder setDataset(EvaluationDataset.Builder builderForValue)

Required. The dataset used for evaluation.

.google.cloud.aiplatform.v1beta1.EvaluationDataset dataset = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	EvaluationDataset.Builder

Returns
Type	Description
EvaluateDatasetRequest.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

setLocation(String value)

public EvaluateDatasetRequest.Builder setLocation(String value)

Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}

string location = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
value	String The location to set.

Returns
Type	Description
EvaluateDatasetRequest.Builder	This builder for chaining.

setLocationBytes(ByteString value)

public EvaluateDatasetRequest.Builder setLocationBytes(ByteString value)

Required. The resource name of the Location to evaluate the dataset. Format: projects/{project}/locations/{location}

string location = 1 [(.google.api.field_behavior) = REQUIRED, (.google.api.resource_reference) = { ... }

Parameter
Name	Description
value	ByteString The bytes for location to set.

Returns
Type	Description
EvaluateDatasetRequest.Builder	This builder for chaining.

setMetrics(int index, Metric value)

public EvaluateDatasetRequest.Builder setMetrics(int index, Metric value)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	Metric

Returns
Type	Description
EvaluateDatasetRequest.Builder

setMetrics(int index, Metric.Builder builderForValue)

public EvaluateDatasetRequest.Builder setMetrics(int index, Metric.Builder builderForValue)

Required. The metrics used for evaluation.

repeated .google.cloud.aiplatform.v1beta1.Metric metrics = 3 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	Metric.Builder

Returns
Type	Description
EvaluateDatasetRequest.Builder

setOutputConfig(OutputConfig value)

public EvaluateDatasetRequest.Builder setOutputConfig(OutputConfig value)

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	OutputConfig

Returns
Type	Description
EvaluateDatasetRequest.Builder

setOutputConfig(OutputConfig.Builder builderForValue)

public EvaluateDatasetRequest.Builder setOutputConfig(OutputConfig.Builder builderForValue)

Required. Config for evaluation output.

.google.cloud.aiplatform.v1beta1.OutputConfig output_config = 4 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	OutputConfig.Builder

Returns
Type	Description
EvaluateDatasetRequest.Builder

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final EvaluateDatasetRequest.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
EvaluateDatasetRequest.Builder

Overrides

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