Class ListOptimalTrialsResponse.Builder (3.52.0)

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public static final class ListOptimalTrialsResponse.Builder extends GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder> implements ListOptimalTrialsResponseOrBuilder

Response message for VizierService.ListOptimalTrials.

Protobuf type google.cloud.aiplatform.v1.ListOptimalTrialsResponse

Inheritance

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

Implements

ListOptimalTrialsResponseOrBuilder

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

addAllOptimalTrials(Iterable<? extends Trial> values)

public ListOptimalTrialsResponse.Builder addAllOptimalTrials(Iterable<? extends Trial> values)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
values	Iterable<? extends com.google.cloud.aiplatform.v1.Trial>

Returns
Type	Description
ListOptimalTrialsResponse.Builder

addOptimalTrials(Trial value)

public ListOptimalTrialsResponse.Builder addOptimalTrials(Trial value)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
value	Trial

Returns
Type	Description
ListOptimalTrialsResponse.Builder

addOptimalTrials(Trial.Builder builderForValue)

public ListOptimalTrialsResponse.Builder addOptimalTrials(Trial.Builder builderForValue)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
builderForValue	Trial.Builder

Returns
Type	Description
ListOptimalTrialsResponse.Builder

addOptimalTrials(int index, Trial value)

public ListOptimalTrialsResponse.Builder addOptimalTrials(int index, Trial value)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameters
Name	Description
index	int
value	Trial

Returns
Type	Description
ListOptimalTrialsResponse.Builder

addOptimalTrials(int index, Trial.Builder builderForValue)

public ListOptimalTrialsResponse.Builder addOptimalTrials(int index, Trial.Builder builderForValue)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameters
Name	Description
index	int
builderForValue	Trial.Builder

Returns
Type	Description
ListOptimalTrialsResponse.Builder

addOptimalTrialsBuilder()

public Trial.Builder addOptimalTrialsBuilder()

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Returns
Type	Description
Trial.Builder

addOptimalTrialsBuilder(int index)

public Trial.Builder addOptimalTrialsBuilder(int index)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Trial.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

build()

public ListOptimalTrialsResponse build()

Returns
Type	Description
ListOptimalTrialsResponse

buildPartial()

public ListOptimalTrialsResponse buildPartial()

Returns
Type	Description
ListOptimalTrialsResponse

clear()

public ListOptimalTrialsResponse.Builder clear()

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public ListOptimalTrialsResponse.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

clearOneof(Descriptors.OneofDescriptor oneof)

public ListOptimalTrialsResponse.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

clearOptimalTrials()

public ListOptimalTrialsResponse.Builder clearOptimalTrials()

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Returns
Type	Description
ListOptimalTrialsResponse.Builder

clone()

public ListOptimalTrialsResponse.Builder clone()

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public ListOptimalTrialsResponse getDefaultInstanceForType()

Returns
Type	Description
ListOptimalTrialsResponse

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getOptimalTrials(int index)

public Trial getOptimalTrials(int index)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Trial

getOptimalTrialsBuilder(int index)

public Trial.Builder getOptimalTrialsBuilder(int index)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
Trial.Builder

getOptimalTrialsBuilderList()

public List<Trial.Builder> getOptimalTrialsBuilderList()

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Returns
Type	Description
List<Builder>

getOptimalTrialsCount()

public int getOptimalTrialsCount()

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Returns
Type	Description
int

getOptimalTrialsList()

public List<Trial> getOptimalTrialsList()

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Returns
Type	Description
List<Trial>

getOptimalTrialsOrBuilder(int index)

public TrialOrBuilder getOptimalTrialsOrBuilder(int index)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
TrialOrBuilder

getOptimalTrialsOrBuilderList()

public List<? extends TrialOrBuilder> getOptimalTrialsOrBuilderList()

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Returns
Type	Description
List<? extends com.google.cloud.aiplatform.v1.TrialOrBuilder>

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()

mergeFrom(ListOptimalTrialsResponse other)

public ListOptimalTrialsResponse.Builder mergeFrom(ListOptimalTrialsResponse other)

Parameter
Name	Description
other	ListOptimalTrialsResponse

Returns
Type	Description
ListOptimalTrialsResponse.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public ListOptimalTrialsResponse.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ListOptimalTrialsResponse.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

removeOptimalTrials(int index)

public ListOptimalTrialsResponse.Builder removeOptimalTrials(int index)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameter
Name	Description
index	int

Returns
Type	Description
ListOptimalTrialsResponse.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

setOptimalTrials(int index, Trial value)

public ListOptimalTrialsResponse.Builder setOptimalTrials(int index, Trial value)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameters
Name	Description
index	int
value	Trial

Returns
Type	Description
ListOptimalTrialsResponse.Builder

setOptimalTrials(int index, Trial.Builder builderForValue)

public ListOptimalTrialsResponse.Builder setOptimalTrials(int index, Trial.Builder builderForValue)

The pareto-optimal Trials for multiple objective Study or the optimal trial for single objective Study. The definition of pareto-optimal can be checked in wiki page. https://en.wikipedia.org/wiki/Pareto_efficiency

repeated .google.cloud.aiplatform.v1.Trial optimal_trials = 1;

Parameters
Name	Description
index	int
builderForValue	Trial.Builder

Returns
Type	Description
ListOptimalTrialsResponse.Builder

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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

setUnknownFields(UnknownFieldSet unknownFields)

public final ListOptimalTrialsResponse.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
ListOptimalTrialsResponse.Builder

Overrides

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