Class ListOptimalTrialsResponse.Builder (3.49.0)

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

Response message for VizierService.ListOptimalTrials.

Protobuf type google.cloud.aiplatform.v1beta1.ListOptimalTrialsResponse

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.v1beta1.Trial optimal_trials = 1;

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

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

clearField(Descriptors.FieldDescriptor field)

public ListOptimalTrialsResponse.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
Name Description
field FieldDescriptor
Returns
Type Description
ListOptimalTrialsResponse.Builder
Overrides

clearOneof(Descriptors.OneofDescriptor oneof)

public ListOptimalTrialsResponse.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
Name Description
oneof OneofDescriptor
Returns
Type Description
ListOptimalTrialsResponse.Builder
Overrides

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.v1beta1.Trial optimal_trials = 1;

Returns
Type Description
ListOptimalTrialsResponse.Builder

clone()

public ListOptimalTrialsResponse.Builder clone()
Returns
Type Description
ListOptimalTrialsResponse.Builder
Overrides

getDefaultInstanceForType()

public ListOptimalTrialsResponse getDefaultInstanceForType()
Returns
Type Description
ListOptimalTrialsResponse

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
Type Description
Descriptor
Overrides

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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.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.v1beta1.Trial optimal_trials = 1;

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

internalGetFieldAccessorTable()

protected GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
Returns
Type Description
FieldAccessorTable
Overrides

isInitialized()

public final boolean isInitialized()
Returns
Type Description
boolean
Overrides

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
Exceptions
Type Description
IOException

mergeFrom(Message other)

public ListOptimalTrialsResponse.Builder mergeFrom(Message other)
Parameter
Name Description
other Message
Returns
Type Description
ListOptimalTrialsResponse.Builder
Overrides

mergeUnknownFields(UnknownFieldSet unknownFields)

public final ListOptimalTrialsResponse.Builder mergeUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ListOptimalTrialsResponse.Builder
Overrides

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.v1beta1.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

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.v1beta1.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.v1beta1.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

setUnknownFields(UnknownFieldSet unknownFields)

public final ListOptimalTrialsResponse.Builder setUnknownFields(UnknownFieldSet unknownFields)
Parameter
Name Description
unknownFields UnknownFieldSet
Returns
Type Description
ListOptimalTrialsResponse.Builder
Overrides