Class SampleConfig.Builder (3.88.0)

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public static final class SampleConfig.Builder extends GeneratedMessage.Builder<SampleConfig.Builder> implements SampleConfigOrBuilder

Active learning data sampling config. For every active learning labeling iteration, it will select a batch of data based on the sampling strategy.

Protobuf type google.cloud.aiplatform.v1beta1.SampleConfig

Inheritance

java.lang.Object > AbstractMessageLite.Builder<MessageType,BuilderType> > AbstractMessage.Builder<BuilderType> > GeneratedMessage.Builder > SampleConfig.Builder

Implements

SampleConfigOrBuilder

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)

GeneratedMessage.Builder.addRepeatedField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.clear()

GeneratedMessage.Builder.clearField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.clearOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.clone()

GeneratedMessage.Builder.getAllFields()

GeneratedMessage.Builder.getDescriptorForType()

GeneratedMessage.Builder.getField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getFieldBuilder(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.getOneofFieldDescriptor(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.getParentForChildren()

GeneratedMessage.Builder.getRepeatedField(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldBuilder(Descriptors.FieldDescriptor,int)

GeneratedMessage.Builder.getRepeatedFieldCount(Descriptors.FieldDescriptor)

com.google.protobuf.GeneratedMessage.Builder.getUnknownFieldSetBuilder()

GeneratedMessage.Builder.getUnknownFields()

GeneratedMessage.Builder.hasField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.hasOneof(Descriptors.OneofDescriptor)

GeneratedMessage.Builder.internalGetFieldAccessorTable()

GeneratedMessage.Builder.internalGetMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMapFieldReflection(int)

GeneratedMessage.Builder.internalGetMutableMapField(int)

com.google.protobuf.GeneratedMessage.Builder.internalGetMutableMapFieldReflection(int)

GeneratedMessage.Builder.isClean()

GeneratedMessage.Builder.isInitialized()

GeneratedMessage.Builder.markClean()

GeneratedMessage.Builder.mergeUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownLengthDelimitedField(int,com.google.protobuf.ByteString)

com.google.protobuf.GeneratedMessage.Builder.mergeUnknownVarintField(int,int)

GeneratedMessage.Builder.newBuilderForField(Descriptors.FieldDescriptor)

GeneratedMessage.Builder.onBuilt()

GeneratedMessage.Builder.onChanged()

com.google.protobuf.GeneratedMessage.Builder.parseUnknownField(com.google.protobuf.CodedInputStream,com.google.protobuf.ExtensionRegistryLite,int)

GeneratedMessage.Builder.setField(Descriptors.FieldDescriptor,Object)

GeneratedMessage.Builder.setRepeatedField(Descriptors.FieldDescriptor,int,Object)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldSetBuilder(com.google.protobuf.UnknownFieldSet.Builder)

GeneratedMessage.Builder.setUnknownFields(UnknownFieldSet)

com.google.protobuf.GeneratedMessage.Builder.setUnknownFieldsProto3(com.google.protobuf.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

build()

public SampleConfig build()

Returns
Type	Description
SampleConfig

buildPartial()

public SampleConfig buildPartial()

Returns
Type	Description
SampleConfig

clear()

public SampleConfig.Builder clear()

Returns
Type	Description
SampleConfig.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearFollowingBatchSamplePercentage()

public SampleConfig.Builder clearFollowingBatchSamplePercentage()

The percentage of data needed to be labeled in each following batch (except the first batch).

int32 following_batch_sample_percentage = 3;

Returns
Type	Description
SampleConfig.Builder	This builder for chaining.

clearFollowingBatchSampleSize()

public SampleConfig.Builder clearFollowingBatchSampleSize()

Returns
Type	Description
SampleConfig.Builder

clearInitialBatchSamplePercentage()

public SampleConfig.Builder clearInitialBatchSamplePercentage()

The percentage of data needed to be labeled in the first batch.

int32 initial_batch_sample_percentage = 1;

Returns
Type	Description
SampleConfig.Builder	This builder for chaining.

clearInitialBatchSampleSize()

public SampleConfig.Builder clearInitialBatchSampleSize()

Returns
Type	Description
SampleConfig.Builder

clearSampleStrategy()

public SampleConfig.Builder clearSampleStrategy()

Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

.google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy sample_strategy = 5;

Returns
Type	Description
SampleConfig.Builder	This builder for chaining.

getDefaultInstanceForType()

public SampleConfig getDefaultInstanceForType()

Returns
Type	Description
SampleConfig

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getFollowingBatchSamplePercentage()

public int getFollowingBatchSamplePercentage()

The percentage of data needed to be labeled in each following batch (except the first batch).

int32 following_batch_sample_percentage = 3;

Returns
Type	Description
int	The followingBatchSamplePercentage.

getFollowingBatchSampleSizeCase()

public SampleConfig.FollowingBatchSampleSizeCase getFollowingBatchSampleSizeCase()

Returns
Type	Description
SampleConfig.FollowingBatchSampleSizeCase

getInitialBatchSamplePercentage()

public int getInitialBatchSamplePercentage()

The percentage of data needed to be labeled in the first batch.

int32 initial_batch_sample_percentage = 1;

Returns
Type	Description
int	The initialBatchSamplePercentage.

getInitialBatchSampleSizeCase()

public SampleConfig.InitialBatchSampleSizeCase getInitialBatchSampleSizeCase()

Returns
Type	Description
SampleConfig.InitialBatchSampleSizeCase

getSampleStrategy()

public SampleConfig.SampleStrategy getSampleStrategy()

Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

.google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy sample_strategy = 5;

Returns
Type	Description
SampleConfig.SampleStrategy	The sampleStrategy.

getSampleStrategyValue()

public int getSampleStrategyValue()

Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

.google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy sample_strategy = 5;

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

hasFollowingBatchSamplePercentage()

public boolean hasFollowingBatchSamplePercentage()

The percentage of data needed to be labeled in each following batch (except the first batch).

int32 following_batch_sample_percentage = 3;

Returns
Type	Description
boolean	Whether the followingBatchSamplePercentage field is set.

hasInitialBatchSamplePercentage()

public boolean hasInitialBatchSamplePercentage()

The percentage of data needed to be labeled in the first batch.

int32 initial_batch_sample_percentage = 1;

Returns
Type	Description
boolean	Whether the initialBatchSamplePercentage field is set.

internalGetFieldAccessorTable()

protected GeneratedMessage.FieldAccessorTable internalGetFieldAccessorTable()

Returns
Type	Description
FieldAccessorTable

Overrides

GeneratedMessage.Builder<BuilderType>.internalGetFieldAccessorTable()

isInitialized()

public final boolean isInitialized()

Returns
Type	Description
boolean

Overrides

GeneratedMessage.Builder<BuilderType>.isInitialized()

mergeFrom(SampleConfig other)

public SampleConfig.Builder mergeFrom(SampleConfig other)

Parameter
Name	Description
other	SampleConfig

Returns
Type	Description
SampleConfig.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

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

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
SampleConfig.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public SampleConfig.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
SampleConfig.Builder

Overrides

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

setFollowingBatchSamplePercentage(int value)

public SampleConfig.Builder setFollowingBatchSamplePercentage(int value)

The percentage of data needed to be labeled in each following batch (except the first batch).

int32 following_batch_sample_percentage = 3;

Parameter
Name	Description
value	int The followingBatchSamplePercentage to set.

Returns
Type	Description
SampleConfig.Builder	This builder for chaining.

setInitialBatchSamplePercentage(int value)

public SampleConfig.Builder setInitialBatchSamplePercentage(int value)

The percentage of data needed to be labeled in the first batch.

int32 initial_batch_sample_percentage = 1;

Parameter
Name	Description
value	int The initialBatchSamplePercentage to set.

Returns
Type	Description
SampleConfig.Builder	This builder for chaining.

setSampleStrategy(SampleConfig.SampleStrategy value)

public SampleConfig.Builder setSampleStrategy(SampleConfig.SampleStrategy value)

Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

.google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy sample_strategy = 5;

Parameter
Name	Description
value	SampleConfig.SampleStrategy The sampleStrategy to set.

Returns
Type	Description
SampleConfig.Builder	This builder for chaining.

setSampleStrategyValue(int value)

public SampleConfig.Builder setSampleStrategyValue(int value)

Field to choose sampling strategy. Sampling strategy will decide which data should be selected for human labeling in every batch.

.google.cloud.aiplatform.v1beta1.SampleConfig.SampleStrategy sample_strategy = 5;

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

Returns
Type	Description
SampleConfig.Builder	This builder for chaining.