Class DatasetStats.Builder (3.49.0)

Version 3.49.0

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public static final class DatasetStats.Builder extends GeneratedMessageV3.Builder<DatasetStats.Builder> implements DatasetStatsOrBuilder

Statistics computed over a tuning dataset.

Protobuf type google.cloud.aiplatform.v1beta1.DatasetStats

Inheritance

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

Implements

DatasetStatsOrBuilder

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

addAllUserDatasetExamples(Iterable<? extends Content> values)

public DatasetStats.Builder addAllUserDatasetExamples(Iterable<? extends Content> values)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

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

Returns
Type	Description
DatasetStats.Builder

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
DatasetStats.Builder

Overrides

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

addUserDatasetExamples(Content value)

public DatasetStats.Builder addUserDatasetExamples(Content value)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	Content

Returns
Type	Description
DatasetStats.Builder

addUserDatasetExamples(Content.Builder builderForValue)

public DatasetStats.Builder addUserDatasetExamples(Content.Builder builderForValue)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	Content.Builder

Returns
Type	Description
DatasetStats.Builder

addUserDatasetExamples(int index, Content value)

public DatasetStats.Builder addUserDatasetExamples(int index, Content value)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters
Name	Description
index	int
value	Content

Returns
Type	Description
DatasetStats.Builder

addUserDatasetExamples(int index, Content.Builder builderForValue)

public DatasetStats.Builder addUserDatasetExamples(int index, Content.Builder builderForValue)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters
Name	Description
index	int
builderForValue	Content.Builder

Returns
Type	Description
DatasetStats.Builder

addUserDatasetExamplesBuilder()

public Content.Builder addUserDatasetExamplesBuilder()

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
Content.Builder

addUserDatasetExamplesBuilder(int index)

public Content.Builder addUserDatasetExamplesBuilder(int index)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
index	int

Returns
Type	Description
Content.Builder

build()

public DatasetStats build()

Returns
Type	Description
DatasetStats

buildPartial()

public DatasetStats buildPartial()

Returns
Type	Description
DatasetStats

clear()

public DatasetStats.Builder clear()

Returns
Type	Description
DatasetStats.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clear()

clearField(Descriptors.FieldDescriptor field)

public DatasetStats.Builder clearField(Descriptors.FieldDescriptor field)

Parameter
Name	Description
field	FieldDescriptor

Returns
Type	Description
DatasetStats.Builder

Overrides

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

clearOneof(Descriptors.OneofDescriptor oneof)

public DatasetStats.Builder clearOneof(Descriptors.OneofDescriptor oneof)

Parameter
Name	Description
oneof	OneofDescriptor

Returns
Type	Description
DatasetStats.Builder

Overrides

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

clearTotalBillableCharacterCount()

public DatasetStats.Builder clearTotalBillableCharacterCount()

Output only. Number of billable characters in the tuning dataset.

int64 total_billable_character_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

clearTotalTuningCharacterCount()

public DatasetStats.Builder clearTotalTuningCharacterCount()

Output only. Number of tuning characters in the tuning dataset.

int64 total_tuning_character_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

clearTuningDatasetExampleCount()

public DatasetStats.Builder clearTuningDatasetExampleCount()

Output only. Number of examples in the tuning dataset.

int64 tuning_dataset_example_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

clearTuningStepCount()

public DatasetStats.Builder clearTuningStepCount()

Output only. Number of tuning steps for this Tuning Job.

int64 tuning_step_count = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

clearUserDatasetExamples()

public DatasetStats.Builder clearUserDatasetExamples()

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder

clearUserInputTokenDistribution()

public DatasetStats.Builder clearUserInputTokenDistribution()

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder

clearUserMessagePerExampleDistribution()

public DatasetStats.Builder clearUserMessagePerExampleDistribution()

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder

clearUserOutputTokenDistribution()

public DatasetStats.Builder clearUserOutputTokenDistribution()

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetStats.Builder

clone()

public DatasetStats.Builder clone()

Returns
Type	Description
DatasetStats.Builder

Overrides

GeneratedMessageV3.Builder<BuilderType>.clone()

getDefaultInstanceForType()

public DatasetStats getDefaultInstanceForType()

Returns
Type	Description
DatasetStats

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessageV3.Builder<BuilderType>.getDescriptorForType()

getTotalBillableCharacterCount()

public long getTotalBillableCharacterCount()

Output only. Number of billable characters in the tuning dataset.

int64 total_billable_character_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The totalBillableCharacterCount.

getTotalTuningCharacterCount()

public long getTotalTuningCharacterCount()

Output only. Number of tuning characters in the tuning dataset.

int64 total_tuning_character_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The totalTuningCharacterCount.

getTuningDatasetExampleCount()

public long getTuningDatasetExampleCount()

Output only. Number of examples in the tuning dataset.

int64 tuning_dataset_example_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The tuningDatasetExampleCount.

getTuningStepCount()

public long getTuningStepCount()

Output only. Number of tuning steps for this Tuning Job.

int64 tuning_step_count = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
long	The tuningStepCount.

getUserDatasetExamples(int index)

public Content getUserDatasetExamples(int index)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
index	int

Returns
Type	Description
Content

getUserDatasetExamplesBuilder(int index)

public Content.Builder getUserDatasetExamplesBuilder(int index)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
index	int

Returns
Type	Description
Content.Builder

getUserDatasetExamplesBuilderList()

public List<Content.Builder> getUserDatasetExamplesBuilderList()

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
List<Builder>

getUserDatasetExamplesCount()

public int getUserDatasetExamplesCount()

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
int

getUserDatasetExamplesList()

public List<Content> getUserDatasetExamplesList()

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
List<Content>

getUserDatasetExamplesOrBuilder(int index)

public ContentOrBuilder getUserDatasetExamplesOrBuilder(int index)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
index	int

Returns
Type	Description
ContentOrBuilder

getUserDatasetExamplesOrBuilderList()

public List<? extends ContentOrBuilder> getUserDatasetExamplesOrBuilderList()

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

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

getUserInputTokenDistribution()

public DatasetDistribution getUserInputTokenDistribution()

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistribution	The userInputTokenDistribution.

getUserInputTokenDistributionBuilder()

public DatasetDistribution.Builder getUserInputTokenDistributionBuilder()

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistribution.Builder

getUserInputTokenDistributionOrBuilder()

public DatasetDistributionOrBuilder getUserInputTokenDistributionOrBuilder()

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistributionOrBuilder

getUserMessagePerExampleDistribution()

public DatasetDistribution getUserMessagePerExampleDistribution()

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistribution	The userMessagePerExampleDistribution.

getUserMessagePerExampleDistributionBuilder()

public DatasetDistribution.Builder getUserMessagePerExampleDistributionBuilder()

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistribution.Builder

getUserMessagePerExampleDistributionOrBuilder()

public DatasetDistributionOrBuilder getUserMessagePerExampleDistributionOrBuilder()

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistributionOrBuilder

getUserOutputTokenDistribution()

public DatasetDistribution getUserOutputTokenDistribution()

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistribution	The userOutputTokenDistribution.

getUserOutputTokenDistributionBuilder()

public DatasetDistribution.Builder getUserOutputTokenDistributionBuilder()

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistribution.Builder

getUserOutputTokenDistributionOrBuilder()

public DatasetDistributionOrBuilder getUserOutputTokenDistributionOrBuilder()

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
DatasetDistributionOrBuilder

hasUserInputTokenDistribution()

public boolean hasUserInputTokenDistribution()

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the userInputTokenDistribution field is set.

hasUserMessagePerExampleDistribution()

public boolean hasUserMessagePerExampleDistribution()

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the userMessagePerExampleDistribution field is set.

hasUserOutputTokenDistribution()

public boolean hasUserOutputTokenDistribution()

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Returns
Type	Description
boolean	Whether the userOutputTokenDistribution 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()

mergeFrom(DatasetStats other)

public DatasetStats.Builder mergeFrom(DatasetStats other)

Parameter
Name	Description
other	DatasetStats

Returns
Type	Description
DatasetStats.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
DatasetStats.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public DatasetStats.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
DatasetStats.Builder

Overrides

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

mergeUnknownFields(UnknownFieldSet unknownFields)

public final DatasetStats.Builder mergeUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
DatasetStats.Builder

Overrides

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

mergeUserInputTokenDistribution(DatasetDistribution value)

public DatasetStats.Builder mergeUserInputTokenDistribution(DatasetDistribution value)

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	DatasetDistribution

Returns
Type	Description
DatasetStats.Builder

mergeUserMessagePerExampleDistribution(DatasetDistribution value)

public DatasetStats.Builder mergeUserMessagePerExampleDistribution(DatasetDistribution value)

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	DatasetDistribution

Returns
Type	Description
DatasetStats.Builder

mergeUserOutputTokenDistribution(DatasetDistribution value)

public DatasetStats.Builder mergeUserOutputTokenDistribution(DatasetDistribution value)

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	DatasetDistribution

Returns
Type	Description
DatasetStats.Builder

removeUserDatasetExamples(int index)

public DatasetStats.Builder removeUserDatasetExamples(int index)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
index	int

Returns
Type	Description
DatasetStats.Builder

setField(Descriptors.FieldDescriptor field, Object value)

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

Parameters
Name	Description
field	FieldDescriptor
value	Object

Returns
Type	Description
DatasetStats.Builder

Overrides

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

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

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

Parameters
Name	Description
field	FieldDescriptor
index	int
value	Object

Returns
Type	Description
DatasetStats.Builder

Overrides

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

setTotalBillableCharacterCount(long value)

public DatasetStats.Builder setTotalBillableCharacterCount(long value)

Output only. Number of billable characters in the tuning dataset.

int64 total_billable_character_count = 3 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	long The totalBillableCharacterCount to set.

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

setTotalTuningCharacterCount(long value)

public DatasetStats.Builder setTotalTuningCharacterCount(long value)

Output only. Number of tuning characters in the tuning dataset.

int64 total_tuning_character_count = 2 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	long The totalTuningCharacterCount to set.

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

setTuningDatasetExampleCount(long value)

public DatasetStats.Builder setTuningDatasetExampleCount(long value)

Output only. Number of examples in the tuning dataset.

int64 tuning_dataset_example_count = 1 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	long The tuningDatasetExampleCount to set.

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

setTuningStepCount(long value)

public DatasetStats.Builder setTuningStepCount(long value)

Output only. Number of tuning steps for this Tuning Job.

int64 tuning_step_count = 4 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	long The tuningStepCount to set.

Returns
Type	Description
DatasetStats.Builder	This builder for chaining.

setUnknownFields(UnknownFieldSet unknownFields)

public final DatasetStats.Builder setUnknownFields(UnknownFieldSet unknownFields)

Parameter
Name	Description
unknownFields	UnknownFieldSet

Returns
Type	Description
DatasetStats.Builder

Overrides

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

setUserDatasetExamples(int index, Content value)

public DatasetStats.Builder setUserDatasetExamples(int index, Content value)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters
Name	Description
index	int
value	Content

Returns
Type	Description
DatasetStats.Builder

setUserDatasetExamples(int index, Content.Builder builderForValue)

public DatasetStats.Builder setUserDatasetExamples(int index, Content.Builder builderForValue)

Output only. Sample user messages in the training dataset uri.

repeated .google.cloud.aiplatform.v1beta1.Content user_dataset_examples = 8 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameters
Name	Description
index	int
builderForValue	Content.Builder

Returns
Type	Description
DatasetStats.Builder

setUserInputTokenDistribution(DatasetDistribution value)

public DatasetStats.Builder setUserInputTokenDistribution(DatasetDistribution value)

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	DatasetDistribution

Returns
Type	Description
DatasetStats.Builder

setUserInputTokenDistribution(DatasetDistribution.Builder builderForValue)

public DatasetStats.Builder setUserInputTokenDistribution(DatasetDistribution.Builder builderForValue)

Output only. Dataset distributions for the user input tokens.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_input_token_distribution = 5 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	DatasetDistribution.Builder

Returns
Type	Description
DatasetStats.Builder

setUserMessagePerExampleDistribution(DatasetDistribution value)

public DatasetStats.Builder setUserMessagePerExampleDistribution(DatasetDistribution value)

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	DatasetDistribution

Returns
Type	Description
DatasetStats.Builder

setUserMessagePerExampleDistribution(DatasetDistribution.Builder builderForValue)

public DatasetStats.Builder setUserMessagePerExampleDistribution(DatasetDistribution.Builder builderForValue)

Output only. Dataset distributions for the messages per example.

.google.cloud.aiplatform.v1beta1.DatasetDistribution user_message_per_example_distribution = 7 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	DatasetDistribution.Builder

Returns
Type	Description
DatasetStats.Builder

setUserOutputTokenDistribution(DatasetDistribution value)

public DatasetStats.Builder setUserOutputTokenDistribution(DatasetDistribution value)

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
value	DatasetDistribution

Returns
Type	Description
DatasetStats.Builder

setUserOutputTokenDistribution(DatasetDistribution.Builder builderForValue)

public DatasetStats.Builder setUserOutputTokenDistribution(DatasetDistribution.Builder builderForValue)

Output only. Dataset distributions for the user output tokens.

optional .google.cloud.aiplatform.v1beta1.DatasetDistribution user_output_token_distribution = 6 [(.google.api.field_behavior) = OUTPUT_ONLY];

Parameter
Name	Description
builderForValue	DatasetDistribution.Builder

Returns
Type	Description
DatasetStats.Builder