public static final class ListOptimalTrialsResponse.Builder extends com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder> implements ListOptimalTrialsResponseOrBuilder
Response message for [VizierService.ListOptimalTrials][google.cloud.aiplatform.v1.VizierService.ListOptimalTrials].Protobuf type
google.cloud.aiplatform.v1.ListOptimalTrialsResponse| Modifier and Type | Method and Description |
|---|---|
ListOptimalTrialsResponse.Builder |
addAllOptimalTrials(Iterable<? extends Trial> values)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
addOptimalTrials(int index,
Trial.Builder builderForValue)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
addOptimalTrials(int index,
Trial value)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
addOptimalTrials(Trial.Builder builderForValue)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
addOptimalTrials(Trial value)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
Trial.Builder |
addOptimalTrialsBuilder()
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
Trial.Builder |
addOptimalTrialsBuilder(int index)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ListOptimalTrialsResponse |
build() |
ListOptimalTrialsResponse |
buildPartial() |
ListOptimalTrialsResponse.Builder |
clear() |
ListOptimalTrialsResponse.Builder |
clearField(com.google.protobuf.Descriptors.FieldDescriptor field) |
ListOptimalTrialsResponse.Builder |
clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof) |
ListOptimalTrialsResponse.Builder |
clearOptimalTrials()
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
clone() |
ListOptimalTrialsResponse |
getDefaultInstanceForType() |
static com.google.protobuf.Descriptors.Descriptor |
getDescriptor() |
com.google.protobuf.Descriptors.Descriptor |
getDescriptorForType() |
Trial |
getOptimalTrials(int index)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
Trial.Builder |
getOptimalTrialsBuilder(int index)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
List<Trial.Builder> |
getOptimalTrialsBuilderList()
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
int |
getOptimalTrialsCount()
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
List<Trial> |
getOptimalTrialsList()
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
TrialOrBuilder |
getOptimalTrialsOrBuilder(int index)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
List<? extends TrialOrBuilder> |
getOptimalTrialsOrBuilderList()
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable |
internalGetFieldAccessorTable() |
boolean |
isInitialized() |
ListOptimalTrialsResponse.Builder |
mergeFrom(com.google.protobuf.CodedInputStream input,
com.google.protobuf.ExtensionRegistryLite extensionRegistry) |
ListOptimalTrialsResponse.Builder |
mergeFrom(ListOptimalTrialsResponse other) |
ListOptimalTrialsResponse.Builder |
mergeFrom(com.google.protobuf.Message other) |
ListOptimalTrialsResponse.Builder |
mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
ListOptimalTrialsResponse.Builder |
removeOptimalTrials(int index)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
setField(com.google.protobuf.Descriptors.FieldDescriptor field,
Object value) |
ListOptimalTrialsResponse.Builder |
setOptimalTrials(int index,
Trial.Builder builderForValue)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
setOptimalTrials(int index,
Trial value)
The pareto-optimal Trials for multiple objective Study or the
optimal trial for single objective Study.
|
ListOptimalTrialsResponse.Builder |
setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
int index,
Object value) |
ListOptimalTrialsResponse.Builder |
setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields) |
getAllFields, getField, getFieldBuilder, getOneofFieldDescriptor, getParentForChildren, getRepeatedField, getRepeatedFieldBuilder, getRepeatedFieldCount, getUnknownFields, getUnknownFieldSetBuilder, hasField, hasOneof, internalGetMapField, internalGetMapFieldReflection, internalGetMutableMapField, internalGetMutableMapFieldReflection, isClean, markClean, mergeUnknownLengthDelimitedField, mergeUnknownVarintField, newBuilderForField, onBuilt, onChanged, parseUnknownField, setUnknownFieldSetBuilder, setUnknownFieldsProto3findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toStringaddAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageExceptionequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitpublic static final com.google.protobuf.Descriptors.Descriptor getDescriptor()
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()
internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder clear()
clear in interface com.google.protobuf.Message.Builderclear in interface com.google.protobuf.MessageLite.Builderclear in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()
getDescriptorForType in interface com.google.protobuf.Message.BuildergetDescriptorForType in interface com.google.protobuf.MessageOrBuildergetDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse getDefaultInstanceForType()
getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuildergetDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilderpublic ListOptimalTrialsResponse build()
build in interface com.google.protobuf.Message.Builderbuild in interface com.google.protobuf.MessageLite.Builderpublic ListOptimalTrialsResponse buildPartial()
buildPartial in interface com.google.protobuf.Message.BuilderbuildPartial in interface com.google.protobuf.MessageLite.Builderpublic ListOptimalTrialsResponse.Builder clone()
clone in interface com.google.protobuf.Message.Builderclone in interface com.google.protobuf.MessageLite.Builderclone in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
setField in interface com.google.protobuf.Message.BuildersetField in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
clearField in interface com.google.protobuf.Message.BuilderclearField in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
clearOneof in interface com.google.protobuf.Message.BuilderclearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
setRepeatedField in interface com.google.protobuf.Message.BuildersetRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
addRepeatedField in interface com.google.protobuf.Message.BuilderaddRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder mergeFrom(com.google.protobuf.Message other)
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder mergeFrom(ListOptimalTrialsResponse other)
public final boolean isInitialized()
isInitialized in interface com.google.protobuf.MessageLiteOrBuilderisInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public ListOptimalTrialsResponse.Builder mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry) throws IOException
mergeFrom in interface com.google.protobuf.Message.BuildermergeFrom in interface com.google.protobuf.MessageLite.BuildermergeFrom in class com.google.protobuf.AbstractMessage.Builder<ListOptimalTrialsResponse.Builder>IOExceptionpublic 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;getOptimalTrialsList in interface ListOptimalTrialsResponseOrBuilderpublic 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;getOptimalTrialsCount in interface ListOptimalTrialsResponseOrBuilderpublic 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;getOptimalTrials in interface ListOptimalTrialsResponseOrBuilderpublic 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;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;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;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;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;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;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;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;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;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;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;getOptimalTrialsOrBuilder in interface ListOptimalTrialsResponseOrBuilderpublic 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;getOptimalTrialsOrBuilderList in interface ListOptimalTrialsResponseOrBuilderpublic 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;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;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;public final ListOptimalTrialsResponse.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
setUnknownFields in interface com.google.protobuf.Message.BuildersetUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>public final ListOptimalTrialsResponse.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
mergeUnknownFields in interface com.google.protobuf.Message.BuildermergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ListOptimalTrialsResponse.Builder>Copyright © 2023 Google LLC. All rights reserved.