Class StudySpec.Builder (3.53.0)

Version 3.53.0

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public static final class StudySpec.Builder extends GeneratedMessageV3.Builder<StudySpec.Builder> implements StudySpecOrBuilder

Represents specification of a Study.

Protobuf type google.cloud.aiplatform.v1beta1.StudySpec

Inheritance

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

Implements

StudySpecOrBuilder

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 StudySpec.MetricSpec> values)

public StudySpec.Builder addAllMetrics(Iterable<? extends StudySpec.MetricSpec> values)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

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

Returns
Type	Description
StudySpec.Builder

addAllParameters(Iterable<? extends StudySpec.ParameterSpec> values)

public StudySpec.Builder addAllParameters(Iterable<? extends StudySpec.ParameterSpec> values)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

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

Returns
Type	Description
StudySpec.Builder

addMetrics(StudySpec.MetricSpec value)

public StudySpec.Builder addMetrics(StudySpec.MetricSpec value)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	StudySpec.MetricSpec

Returns
Type	Description
StudySpec.Builder

addMetrics(StudySpec.MetricSpec.Builder builderForValue)

public StudySpec.Builder addMetrics(StudySpec.MetricSpec.Builder builderForValue)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	StudySpec.MetricSpec.Builder

Returns
Type	Description
StudySpec.Builder

addMetrics(int index, StudySpec.MetricSpec value)

public StudySpec.Builder addMetrics(int index, StudySpec.MetricSpec value)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	StudySpec.MetricSpec

Returns
Type	Description
StudySpec.Builder

addMetrics(int index, StudySpec.MetricSpec.Builder builderForValue)

public StudySpec.Builder addMetrics(int index, StudySpec.MetricSpec.Builder builderForValue)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	StudySpec.MetricSpec.Builder

Returns
Type	Description
StudySpec.Builder

addMetricsBuilder()

public StudySpec.MetricSpec.Builder addMetricsBuilder()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
StudySpec.MetricSpec.Builder

addMetricsBuilder(int index)

public StudySpec.MetricSpec.Builder addMetricsBuilder(int index)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.MetricSpec.Builder

addParameters(StudySpec.ParameterSpec value)

public StudySpec.Builder addParameters(StudySpec.ParameterSpec value)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
value	StudySpec.ParameterSpec

Returns
Type	Description
StudySpec.Builder

addParameters(StudySpec.ParameterSpec.Builder builderForValue)

public StudySpec.Builder addParameters(StudySpec.ParameterSpec.Builder builderForValue)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
builderForValue	StudySpec.ParameterSpec.Builder

Returns
Type	Description
StudySpec.Builder

addParameters(int index, StudySpec.ParameterSpec value)

public StudySpec.Builder addParameters(int index, StudySpec.ParameterSpec value)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	StudySpec.ParameterSpec

Returns
Type	Description
StudySpec.Builder

addParameters(int index, StudySpec.ParameterSpec.Builder builderForValue)

public StudySpec.Builder addParameters(int index, StudySpec.ParameterSpec.Builder builderForValue)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	StudySpec.ParameterSpec.Builder

Returns
Type	Description
StudySpec.Builder

addParametersBuilder()

public StudySpec.ParameterSpec.Builder addParametersBuilder()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
StudySpec.ParameterSpec.Builder

addParametersBuilder(int index)

public StudySpec.ParameterSpec.Builder addParametersBuilder(int index)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.ParameterSpec.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
StudySpec.Builder

Overrides

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

build()

public StudySpec build()

Returns
Type	Description
StudySpec

buildPartial()

public StudySpec buildPartial()

Returns
Type	Description
StudySpec

clear()

public StudySpec.Builder clear()

Returns
Type	Description
StudySpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearAlgorithm()

public StudySpec.Builder clearAlgorithm()

The search algorithm specified for the Study.

.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm algorithm = 3;

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

clearAutomatedStoppingSpec()

public StudySpec.Builder clearAutomatedStoppingSpec()

Returns
Type	Description
StudySpec.Builder

clearConvexAutomatedStoppingSpec()

public StudySpec.Builder clearConvexAutomatedStoppingSpec()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns
Type	Description
StudySpec.Builder

clearConvexStopConfig() (deprecated)

public StudySpec.Builder clearConvexStopConfig()

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns
Type	Description
StudySpec.Builder

clearDecayCurveStoppingSpec()

public StudySpec.Builder clearDecayCurveStoppingSpec()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns
Type	Description
StudySpec.Builder

clearField(Descriptors.FieldDescriptor field)

public StudySpec.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
StudySpec.Builder

Overrides

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

clearMeasurementSelectionType()

public StudySpec.Builder clearMeasurementSelectionType()

Describe which measurement selection type will be used

.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

clearMedianAutomatedStoppingSpec()

public StudySpec.Builder clearMedianAutomatedStoppingSpec()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns
Type	Description
StudySpec.Builder

clearMetrics()

public StudySpec.Builder clearMetrics()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
StudySpec.Builder

clearObservationNoise()

public StudySpec.Builder clearObservationNoise()

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public StudySpec.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
StudySpec.Builder

Overrides

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

clearParameters()

public StudySpec.Builder clearParameters()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
StudySpec.Builder

clearStudyStoppingConfig()

public StudySpec.Builder clearStudyStoppingConfig()

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Returns
Type	Description
StudySpec.Builder

clearTransferLearningConfig()

public StudySpec.Builder clearTransferLearningConfig()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns
Type	Description
StudySpec.Builder

clone()

public StudySpec.Builder clone()

Returns
Type	Description
StudySpec.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getAlgorithm()

public StudySpec.Algorithm getAlgorithm()

The search algorithm specified for the Study.

.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm algorithm = 3;

Returns
Type	Description
StudySpec.Algorithm	The algorithm.

getAlgorithmValue()

public int getAlgorithmValue()

The search algorithm specified for the Study.

.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm algorithm = 3;

Returns
Type	Description
int	The enum numeric value on the wire for algorithm.

getAutomatedStoppingSpecCase()

public StudySpec.AutomatedStoppingSpecCase getAutomatedStoppingSpecCase()

Returns
Type	Description
StudySpec.AutomatedStoppingSpecCase

getConvexAutomatedStoppingSpec()

public StudySpec.ConvexAutomatedStoppingSpec getConvexAutomatedStoppingSpec()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns
Type	Description
StudySpec.ConvexAutomatedStoppingSpec	The convexAutomatedStoppingSpec.

getConvexAutomatedStoppingSpecBuilder()

public StudySpec.ConvexAutomatedStoppingSpec.Builder getConvexAutomatedStoppingSpecBuilder()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns
Type	Description
StudySpec.ConvexAutomatedStoppingSpec.Builder

getConvexAutomatedStoppingSpecOrBuilder()

public StudySpec.ConvexAutomatedStoppingSpecOrBuilder getConvexAutomatedStoppingSpecOrBuilder()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns
Type	Description
StudySpec.ConvexAutomatedStoppingSpecOrBuilder

getConvexStopConfig() (deprecated)

public StudySpec.ConvexStopConfig getConvexStopConfig()

Deprecated. google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See google/cloud/aiplatform/v1beta1/study.proto;l=692

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns
Type	Description
StudySpec.ConvexStopConfig	The convexStopConfig.

getConvexStopConfigBuilder() (deprecated)

public StudySpec.ConvexStopConfig.Builder getConvexStopConfigBuilder()

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns
Type	Description
StudySpec.ConvexStopConfig.Builder

getConvexStopConfigOrBuilder() (deprecated)

public StudySpec.ConvexStopConfigOrBuilder getConvexStopConfigOrBuilder()

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns
Type	Description
StudySpec.ConvexStopConfigOrBuilder

getDecayCurveStoppingSpec()

public StudySpec.DecayCurveAutomatedStoppingSpec getDecayCurveStoppingSpec()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns
Type	Description
StudySpec.DecayCurveAutomatedStoppingSpec	The decayCurveStoppingSpec.

getDecayCurveStoppingSpecBuilder()

public StudySpec.DecayCurveAutomatedStoppingSpec.Builder getDecayCurveStoppingSpecBuilder()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns
Type	Description
StudySpec.DecayCurveAutomatedStoppingSpec.Builder

getDecayCurveStoppingSpecOrBuilder()

public StudySpec.DecayCurveAutomatedStoppingSpecOrBuilder getDecayCurveStoppingSpecOrBuilder()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns
Type	Description
StudySpec.DecayCurveAutomatedStoppingSpecOrBuilder

getDefaultInstanceForType()

public StudySpec getDefaultInstanceForType()

Returns
Type	Description
StudySpec

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getMeasurementSelectionType()

public StudySpec.MeasurementSelectionType getMeasurementSelectionType()

Describe which measurement selection type will be used

.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;

Returns
Type	Description
StudySpec.MeasurementSelectionType	The measurementSelectionType.

getMeasurementSelectionTypeValue()

public int getMeasurementSelectionTypeValue()

Describe which measurement selection type will be used

.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;

Returns
Type	Description
int	The enum numeric value on the wire for measurementSelectionType.

getMedianAutomatedStoppingSpec()

public StudySpec.MedianAutomatedStoppingSpec getMedianAutomatedStoppingSpec()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns
Type	Description
StudySpec.MedianAutomatedStoppingSpec	The medianAutomatedStoppingSpec.

getMedianAutomatedStoppingSpecBuilder()

public StudySpec.MedianAutomatedStoppingSpec.Builder getMedianAutomatedStoppingSpecBuilder()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns
Type	Description
StudySpec.MedianAutomatedStoppingSpec.Builder

getMedianAutomatedStoppingSpecOrBuilder()

public StudySpec.MedianAutomatedStoppingSpecOrBuilder getMedianAutomatedStoppingSpecOrBuilder()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns
Type	Description
StudySpec.MedianAutomatedStoppingSpecOrBuilder

getMetrics(int index)

public StudySpec.MetricSpec getMetrics(int index)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.MetricSpec

getMetricsBuilder(int index)

public StudySpec.MetricSpec.Builder getMetricsBuilder(int index)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.MetricSpec.Builder

getMetricsBuilderList()

public List<StudySpec.MetricSpec.Builder> getMetricsBuilderList()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<Builder>

getMetricsCount()

public int getMetricsCount()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
int

getMetricsList()

public List<StudySpec.MetricSpec> getMetricsList()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<MetricSpec>

getMetricsOrBuilder(int index)

public StudySpec.MetricSpecOrBuilder getMetricsOrBuilder(int index)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.MetricSpecOrBuilder

getMetricsOrBuilderList()

public List<? extends StudySpec.MetricSpecOrBuilder> getMetricsOrBuilderList()

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

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

getObservationNoise()

public StudySpec.ObservationNoise getObservationNoise()

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;

Returns
Type	Description
StudySpec.ObservationNoise	The observationNoise.

getObservationNoiseValue()

public int getObservationNoiseValue()

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;

Returns
Type	Description
int	The enum numeric value on the wire for observationNoise.

getParameters(int index)

public StudySpec.ParameterSpec getParameters(int index)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.ParameterSpec

getParametersBuilder(int index)

public StudySpec.ParameterSpec.Builder getParametersBuilder(int index)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.ParameterSpec.Builder

getParametersBuilderList()

public List<StudySpec.ParameterSpec.Builder> getParametersBuilderList()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<Builder>

getParametersCount()

public int getParametersCount()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
int

getParametersList()

public List<StudySpec.ParameterSpec> getParametersList()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
List<ParameterSpec>

getParametersOrBuilder(int index)

public StudySpec.ParameterSpecOrBuilder getParametersOrBuilder(int index)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.ParameterSpecOrBuilder

getParametersOrBuilderList()

public List<? extends StudySpec.ParameterSpecOrBuilder> getParametersOrBuilderList()

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

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

getStudyStoppingConfig()

public StudySpec.StudyStoppingConfig getStudyStoppingConfig()

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Returns
Type	Description
StudySpec.StudyStoppingConfig	The studyStoppingConfig.

getStudyStoppingConfigBuilder()

public StudySpec.StudyStoppingConfig.Builder getStudyStoppingConfigBuilder()

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Returns
Type	Description
StudySpec.StudyStoppingConfig.Builder

getStudyStoppingConfigOrBuilder()

public StudySpec.StudyStoppingConfigOrBuilder getStudyStoppingConfigOrBuilder()

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Returns
Type	Description
StudySpec.StudyStoppingConfigOrBuilder

getTransferLearningConfig()

public StudySpec.TransferLearningConfig getTransferLearningConfig()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns
Type	Description
StudySpec.TransferLearningConfig	The transferLearningConfig.

getTransferLearningConfigBuilder()

public StudySpec.TransferLearningConfig.Builder getTransferLearningConfigBuilder()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns
Type	Description
StudySpec.TransferLearningConfig.Builder

getTransferLearningConfigOrBuilder()

public StudySpec.TransferLearningConfigOrBuilder getTransferLearningConfigOrBuilder()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns
Type	Description
StudySpec.TransferLearningConfigOrBuilder

hasConvexAutomatedStoppingSpec()

public boolean hasConvexAutomatedStoppingSpec()

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Returns
Type	Description
boolean	Whether the convexAutomatedStoppingSpec field is set.

hasConvexStopConfig() (deprecated)

public boolean hasConvexStopConfig()

Deprecated. google.cloud.aiplatform.v1beta1.StudySpec.convex_stop_config is deprecated. See google/cloud/aiplatform/v1beta1/study.proto;l=692

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Returns
Type	Description
boolean	Whether the convexStopConfig field is set.

hasDecayCurveStoppingSpec()

public boolean hasDecayCurveStoppingSpec()

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Returns
Type	Description
boolean	Whether the decayCurveStoppingSpec field is set.

hasMedianAutomatedStoppingSpec()

public boolean hasMedianAutomatedStoppingSpec()

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Returns
Type	Description
boolean	Whether the medianAutomatedStoppingSpec field is set.

hasStudyStoppingConfig()

public boolean hasStudyStoppingConfig()

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Returns
Type	Description
boolean	Whether the studyStoppingConfig field is set.

hasTransferLearningConfig()

public boolean hasTransferLearningConfig()

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Returns
Type	Description
boolean	Whether the transferLearningConfig 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()

mergeConvexAutomatedStoppingSpec(StudySpec.ConvexAutomatedStoppingSpec value)

public StudySpec.Builder mergeConvexAutomatedStoppingSpec(StudySpec.ConvexAutomatedStoppingSpec value)

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Parameter
Name	Description
value	StudySpec.ConvexAutomatedStoppingSpec

Returns
Type	Description
StudySpec.Builder

mergeConvexStopConfig(StudySpec.ConvexStopConfig value) (deprecated)

public StudySpec.Builder mergeConvexStopConfig(StudySpec.ConvexStopConfig value)

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Parameter
Name	Description
value	StudySpec.ConvexStopConfig

Returns
Type	Description
StudySpec.Builder

mergeDecayCurveStoppingSpec(StudySpec.DecayCurveAutomatedStoppingSpec value)

public StudySpec.Builder mergeDecayCurveStoppingSpec(StudySpec.DecayCurveAutomatedStoppingSpec value)

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Parameter
Name	Description
value	StudySpec.DecayCurveAutomatedStoppingSpec

Returns
Type	Description
StudySpec.Builder

mergeFrom(StudySpec other)

public StudySpec.Builder mergeFrom(StudySpec other)

Parameter
Name	Description
other	StudySpec

Returns
Type	Description
StudySpec.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
StudySpec.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public StudySpec.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
StudySpec.Builder

Overrides

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

mergeMedianAutomatedStoppingSpec(StudySpec.MedianAutomatedStoppingSpec value)

public StudySpec.Builder mergeMedianAutomatedStoppingSpec(StudySpec.MedianAutomatedStoppingSpec value)

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Parameter
Name	Description
value	StudySpec.MedianAutomatedStoppingSpec

Returns
Type	Description
StudySpec.Builder

mergeStudyStoppingConfig(StudySpec.StudyStoppingConfig value)

public StudySpec.Builder mergeStudyStoppingConfig(StudySpec.StudyStoppingConfig value)

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Parameter
Name	Description
value	StudySpec.StudyStoppingConfig

Returns
Type	Description
StudySpec.Builder

mergeTransferLearningConfig(StudySpec.TransferLearningConfig value)

public StudySpec.Builder mergeTransferLearningConfig(StudySpec.TransferLearningConfig value)

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Parameter
Name	Description
value	StudySpec.TransferLearningConfig

Returns
Type	Description
StudySpec.Builder

mergeUnknownFields(UnknownFieldSet unknownFields)

public final StudySpec.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
StudySpec.Builder

Overrides

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

removeMetrics(int index)

public StudySpec.Builder removeMetrics(int index)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.Builder

removeParameters(int index)

public StudySpec.Builder removeParameters(int index)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameter
Name	Description
index	int

Returns
Type	Description
StudySpec.Builder

setAlgorithm(StudySpec.Algorithm value)

public StudySpec.Builder setAlgorithm(StudySpec.Algorithm value)

The search algorithm specified for the Study.

.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm algorithm = 3;

Parameter
Name	Description
value	StudySpec.Algorithm The algorithm to set.

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

setAlgorithmValue(int value)

public StudySpec.Builder setAlgorithmValue(int value)

The search algorithm specified for the Study.

.google.cloud.aiplatform.v1beta1.StudySpec.Algorithm algorithm = 3;

Parameter
Name	Description
value	int The enum numeric value on the wire for algorithm to set.

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

setConvexAutomatedStoppingSpec(StudySpec.ConvexAutomatedStoppingSpec value)

public StudySpec.Builder setConvexAutomatedStoppingSpec(StudySpec.ConvexAutomatedStoppingSpec value)

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Parameter
Name	Description
value	StudySpec.ConvexAutomatedStoppingSpec

Returns
Type	Description
StudySpec.Builder

setConvexAutomatedStoppingSpec(StudySpec.ConvexAutomatedStoppingSpec.Builder builderForValue)

public StudySpec.Builder setConvexAutomatedStoppingSpec(StudySpec.ConvexAutomatedStoppingSpec.Builder builderForValue)

The automated early stopping spec using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexAutomatedStoppingSpec convex_automated_stopping_spec = 9;

Parameter
Name	Description
builderForValue	StudySpec.ConvexAutomatedStoppingSpec.Builder

Returns
Type	Description
StudySpec.Builder

setConvexStopConfig(StudySpec.ConvexStopConfig value) (deprecated)

public StudySpec.Builder setConvexStopConfig(StudySpec.ConvexStopConfig value)

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Parameter
Name	Description
value	StudySpec.ConvexStopConfig

Returns
Type	Description
StudySpec.Builder

setConvexStopConfig(StudySpec.ConvexStopConfig.Builder builderForValue) (deprecated)

public StudySpec.Builder setConvexStopConfig(StudySpec.ConvexStopConfig.Builder builderForValue)

Deprecated. The automated early stopping using convex stopping rule.

.google.cloud.aiplatform.v1beta1.StudySpec.ConvexStopConfig convex_stop_config = 8 [deprecated = true];

Parameter
Name	Description
builderForValue	StudySpec.ConvexStopConfig.Builder

Returns
Type	Description
StudySpec.Builder

setDecayCurveStoppingSpec(StudySpec.DecayCurveAutomatedStoppingSpec value)

public StudySpec.Builder setDecayCurveStoppingSpec(StudySpec.DecayCurveAutomatedStoppingSpec value)

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Parameter
Name	Description
value	StudySpec.DecayCurveAutomatedStoppingSpec

Returns
Type	Description
StudySpec.Builder

setDecayCurveStoppingSpec(StudySpec.DecayCurveAutomatedStoppingSpec.Builder builderForValue)

public StudySpec.Builder setDecayCurveStoppingSpec(StudySpec.DecayCurveAutomatedStoppingSpec.Builder builderForValue)

The automated early stopping spec using decay curve rule.

.google.cloud.aiplatform.v1beta1.StudySpec.DecayCurveAutomatedStoppingSpec decay_curve_stopping_spec = 4;

Parameter
Name	Description
builderForValue	StudySpec.DecayCurveAutomatedStoppingSpec.Builder

Returns
Type	Description
StudySpec.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
StudySpec.Builder

Overrides

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

setMeasurementSelectionType(StudySpec.MeasurementSelectionType value)

public StudySpec.Builder setMeasurementSelectionType(StudySpec.MeasurementSelectionType value)

Describe which measurement selection type will be used

.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;

Parameter
Name	Description
value	StudySpec.MeasurementSelectionType The measurementSelectionType to set.

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

setMeasurementSelectionTypeValue(int value)

public StudySpec.Builder setMeasurementSelectionTypeValue(int value)

Describe which measurement selection type will be used

.google.cloud.aiplatform.v1beta1.StudySpec.MeasurementSelectionType measurement_selection_type = 7;

Parameter
Name	Description
value	int The enum numeric value on the wire for measurementSelectionType to set.

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

setMedianAutomatedStoppingSpec(StudySpec.MedianAutomatedStoppingSpec value)

public StudySpec.Builder setMedianAutomatedStoppingSpec(StudySpec.MedianAutomatedStoppingSpec value)

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Parameter
Name	Description
value	StudySpec.MedianAutomatedStoppingSpec

Returns
Type	Description
StudySpec.Builder

setMedianAutomatedStoppingSpec(StudySpec.MedianAutomatedStoppingSpec.Builder builderForValue)

public StudySpec.Builder setMedianAutomatedStoppingSpec(StudySpec.MedianAutomatedStoppingSpec.Builder builderForValue)

The automated early stopping spec using median rule.

.google.cloud.aiplatform.v1beta1.StudySpec.MedianAutomatedStoppingSpec median_automated_stopping_spec = 5;

Parameter
Name	Description
builderForValue	StudySpec.MedianAutomatedStoppingSpec.Builder

Returns
Type	Description
StudySpec.Builder

setMetrics(int index, StudySpec.MetricSpec value)

public StudySpec.Builder setMetrics(int index, StudySpec.MetricSpec value)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	StudySpec.MetricSpec

Returns
Type	Description
StudySpec.Builder

setMetrics(int index, StudySpec.MetricSpec.Builder builderForValue)

public StudySpec.Builder setMetrics(int index, StudySpec.MetricSpec.Builder builderForValue)

Required. Metric specs for the Study.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.MetricSpec metrics = 1 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	StudySpec.MetricSpec.Builder

Returns
Type	Description
StudySpec.Builder

setObservationNoise(StudySpec.ObservationNoise value)

public StudySpec.Builder setObservationNoise(StudySpec.ObservationNoise value)

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;

Parameter
Name	Description
value	StudySpec.ObservationNoise The observationNoise to set.

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

setObservationNoiseValue(int value)

public StudySpec.Builder setObservationNoiseValue(int value)

The observation noise level of the study. Currently only supported by the Vertex AI Vizier service. Not supported by HyperparameterTuningJob or TrainingPipeline.

.google.cloud.aiplatform.v1beta1.StudySpec.ObservationNoise observation_noise = 6;

Parameter
Name	Description
value	int The enum numeric value on the wire for observationNoise to set.

Returns
Type	Description
StudySpec.Builder	This builder for chaining.

setParameters(int index, StudySpec.ParameterSpec value)

public StudySpec.Builder setParameters(int index, StudySpec.ParameterSpec value)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
value	StudySpec.ParameterSpec

Returns
Type	Description
StudySpec.Builder

setParameters(int index, StudySpec.ParameterSpec.Builder builderForValue)

public StudySpec.Builder setParameters(int index, StudySpec.ParameterSpec.Builder builderForValue)

Required. The set of parameters to tune.

repeated .google.cloud.aiplatform.v1beta1.StudySpec.ParameterSpec parameters = 2 [(.google.api.field_behavior) = REQUIRED];

Parameters
Name	Description
index	int
builderForValue	StudySpec.ParameterSpec.Builder

Returns
Type	Description
StudySpec.Builder

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
StudySpec.Builder

Overrides

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

setStudyStoppingConfig(StudySpec.StudyStoppingConfig value)

public StudySpec.Builder setStudyStoppingConfig(StudySpec.StudyStoppingConfig value)

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Parameter
Name	Description
value	StudySpec.StudyStoppingConfig

Returns
Type	Description
StudySpec.Builder

setStudyStoppingConfig(StudySpec.StudyStoppingConfig.Builder builderForValue)

public StudySpec.Builder setStudyStoppingConfig(StudySpec.StudyStoppingConfig.Builder builderForValue)

Conditions for automated stopping of a Study. Enable automated stopping by configuring at least one condition.

optional .google.cloud.aiplatform.v1beta1.StudySpec.StudyStoppingConfig study_stopping_config = 11;

Parameter
Name	Description
builderForValue	StudySpec.StudyStoppingConfig.Builder

Returns
Type	Description
StudySpec.Builder

setTransferLearningConfig(StudySpec.TransferLearningConfig value)

public StudySpec.Builder setTransferLearningConfig(StudySpec.TransferLearningConfig value)

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Parameter
Name	Description
value	StudySpec.TransferLearningConfig

Returns
Type	Description
StudySpec.Builder

setTransferLearningConfig(StudySpec.TransferLearningConfig.Builder builderForValue)

public StudySpec.Builder setTransferLearningConfig(StudySpec.TransferLearningConfig.Builder builderForValue)

The configuration info/options for transfer learning. Currently supported for Vertex AI Vizier service, not HyperParameterTuningJob

.google.cloud.aiplatform.v1beta1.StudySpec.TransferLearningConfig transfer_learning_config = 10;

Parameter
Name	Description
builderForValue	StudySpec.TransferLearningConfig.Builder

Returns
Type	Description
StudySpec.Builder

setUnknownFields(UnknownFieldSet unknownFields)

public final StudySpec.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
StudySpec.Builder

Overrides

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