com.google.cloud.aiplatform.v1beta1

Class ActiveLearningConfig.Builder

java.lang.Object

com.google.protobuf.AbstractMessageLite.Builder

com.google.protobuf.AbstractMessage.Builder<BuilderT>

com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

com.google.cloud.aiplatform.v1beta1.ActiveLearningConfig.Builder

All Implemented Interfaces:

ActiveLearningConfigOrBuilder, com.google.protobuf.Message.Builder, com.google.protobuf.MessageLite.Builder, com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder, Cloneable

Enclosing class:

ActiveLearningConfig

public static final class ActiveLearningConfig.Builder
extends com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>
implements ActiveLearningConfigOrBuilder

 Parameters that configure the active learning pipeline. Active learning will
  label the data incrementally by several iterations. For every iteration, it
  will select a batch of data based on the sampling strategy.
 

Protobuf type google.cloud.aiplatform.v1beta1.ActiveLearningConfig

Method Summary

Modifier and Type	Method and Description
ActiveLearningConfig.Builder	addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ActiveLearningConfig	build()
ActiveLearningConfig	buildPartial()
ActiveLearningConfig.Builder	clear()
ActiveLearningConfig.Builder	clearField(com.google.protobuf.Descriptors.FieldDescriptor field)
ActiveLearningConfig.Builder	clearHumanLabelingBudget()
ActiveLearningConfig.Builder	clearMaxDataItemCount() Max number of human labeled DataItems.
ActiveLearningConfig.Builder	clearMaxDataItemPercentage() Max percent of total DataItems for human labeling.
ActiveLearningConfig.Builder	clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)
ActiveLearningConfig.Builder	clearSampleConfig() Active learning data sampling config.
ActiveLearningConfig.Builder	clearTrainingConfig() CMLE training config.
ActiveLearningConfig.Builder	clone()
ActiveLearningConfig	getDefaultInstanceForType()
static com.google.protobuf.Descriptors.Descriptor	getDescriptor()
com.google.protobuf.Descriptors.Descriptor	getDescriptorForType()
ActiveLearningConfig.HumanLabelingBudgetCase	getHumanLabelingBudgetCase()
long	getMaxDataItemCount() Max number of human labeled DataItems.
int	getMaxDataItemPercentage() Max percent of total DataItems for human labeling.
SampleConfig	getSampleConfig() Active learning data sampling config.
SampleConfig.Builder	getSampleConfigBuilder() Active learning data sampling config.
SampleConfigOrBuilder	getSampleConfigOrBuilder() Active learning data sampling config.
TrainingConfig	getTrainingConfig() CMLE training config.
TrainingConfig.Builder	getTrainingConfigBuilder() CMLE training config.
TrainingConfigOrBuilder	getTrainingConfigOrBuilder() CMLE training config.
boolean	hasMaxDataItemCount() Max number of human labeled DataItems.
boolean	hasMaxDataItemPercentage() Max percent of total DataItems for human labeling.
boolean	hasSampleConfig() Active learning data sampling config.
boolean	hasTrainingConfig() CMLE training config.
protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable	internalGetFieldAccessorTable()
boolean	isInitialized()
ActiveLearningConfig.Builder	mergeFrom(ActiveLearningConfig other)
ActiveLearningConfig.Builder	mergeFrom(com.google.protobuf.CodedInputStream input, com.google.protobuf.ExtensionRegistryLite extensionRegistry)
ActiveLearningConfig.Builder	mergeFrom(com.google.protobuf.Message other)
ActiveLearningConfig.Builder	mergeSampleConfig(SampleConfig value) Active learning data sampling config.
ActiveLearningConfig.Builder	mergeTrainingConfig(TrainingConfig value) CMLE training config.
ActiveLearningConfig.Builder	mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)
ActiveLearningConfig.Builder	setField(com.google.protobuf.Descriptors.FieldDescriptor field, Object value)
ActiveLearningConfig.Builder	setMaxDataItemCount(long value) Max number of human labeled DataItems.
ActiveLearningConfig.Builder	setMaxDataItemPercentage(int value) Max percent of total DataItems for human labeling.
ActiveLearningConfig.Builder	setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field, int index, Object value)
ActiveLearningConfig.Builder	setSampleConfig(SampleConfig.Builder builderForValue) Active learning data sampling config.
ActiveLearningConfig.Builder	setSampleConfig(SampleConfig value) Active learning data sampling config.
ActiveLearningConfig.Builder	setTrainingConfig(TrainingConfig.Builder builderForValue) CMLE training config.
ActiveLearningConfig.Builder	setTrainingConfig(TrainingConfig value) CMLE training config.
ActiveLearningConfig.Builder	setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Methods inherited from class com.google.protobuf.GeneratedMessageV3.Builder

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, setUnknownFieldsProto3

Methods inherited from class com.google.protobuf.AbstractMessage.Builder

findInitializationErrors, getInitializationErrorString, internalMergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, mergeFrom, newUninitializedMessageException, toString

Methods inherited from class com.google.protobuf.AbstractMessageLite.Builder

addAll, addAll, mergeDelimitedFrom, mergeDelimitedFrom, newUninitializedMessageException

Methods inherited from class java.lang.Object

equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface com.google.protobuf.MessageOrBuilder

findInitializationErrors, getAllFields, getField, getInitializationErrorString, getOneofFieldDescriptor, getRepeatedField, getRepeatedFieldCount, getUnknownFields, hasField, hasOneof

Methods inherited from interface com.google.protobuf.Message.Builder

mergeDelimitedFrom, mergeDelimitedFrom

Method Detail

getDescriptor

public static final com.google.protobuf.Descriptors.Descriptor getDescriptor()

internalGetFieldAccessorTable

protected com.google.protobuf.GeneratedMessageV3.FieldAccessorTable internalGetFieldAccessorTable()

Specified by:

internalGetFieldAccessorTable in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

clear

public ActiveLearningConfig.Builder clear()

Specified by:

clear in interface com.google.protobuf.Message.Builder

Specified by:

clear in interface com.google.protobuf.MessageLite.Builder

Overrides:

clear in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

getDescriptorForType

public com.google.protobuf.Descriptors.Descriptor getDescriptorForType()

Specified by:

getDescriptorForType in interface com.google.protobuf.Message.Builder

Specified by:

getDescriptorForType in interface com.google.protobuf.MessageOrBuilder

Overrides:

getDescriptorForType in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

getDefaultInstanceForType

public ActiveLearningConfig getDefaultInstanceForType()

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageLiteOrBuilder

Specified by:

getDefaultInstanceForType in interface com.google.protobuf.MessageOrBuilder

build

public ActiveLearningConfig build()

Specified by:

build in interface com.google.protobuf.Message.Builder

Specified by:

build in interface com.google.protobuf.MessageLite.Builder

buildPartial

public ActiveLearningConfig buildPartial()

Specified by:

buildPartial in interface com.google.protobuf.Message.Builder

Specified by:

buildPartial in interface com.google.protobuf.MessageLite.Builder

clone

public ActiveLearningConfig.Builder clone()

Specified by:

clone in interface com.google.protobuf.Message.Builder

Specified by:

clone in interface com.google.protobuf.MessageLite.Builder

Overrides:

clone in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

setField

public ActiveLearningConfig.Builder setField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                             Object value)

Specified by:

setField in interface com.google.protobuf.Message.Builder

Overrides:

setField in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

clearField

public ActiveLearningConfig.Builder clearField(com.google.protobuf.Descriptors.FieldDescriptor field)

Specified by:

clearField in interface com.google.protobuf.Message.Builder

Overrides:

clearField in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

clearOneof

public ActiveLearningConfig.Builder clearOneof(com.google.protobuf.Descriptors.OneofDescriptor oneof)

Specified by:

clearOneof in interface com.google.protobuf.Message.Builder

Overrides:

clearOneof in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

setRepeatedField

public ActiveLearningConfig.Builder setRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                     int index,
                                                     Object value)

Specified by:

setRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

setRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

addRepeatedField

public ActiveLearningConfig.Builder addRepeatedField(com.google.protobuf.Descriptors.FieldDescriptor field,
                                                     Object value)

Specified by:

addRepeatedField in interface com.google.protobuf.Message.Builder

Overrides:

addRepeatedField in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

mergeFrom

public ActiveLearningConfig.Builder mergeFrom(com.google.protobuf.Message other)

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ActiveLearningConfig.Builder>

mergeFrom

public ActiveLearningConfig.Builder mergeFrom(ActiveLearningConfig other)

isInitialized

public final boolean isInitialized()

Specified by:

isInitialized in interface com.google.protobuf.MessageLiteOrBuilder

Overrides:

isInitialized in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

mergeFrom

public ActiveLearningConfig.Builder mergeFrom(com.google.protobuf.CodedInputStream input,
                                              com.google.protobuf.ExtensionRegistryLite extensionRegistry)
                                       throws IOException

Specified by:

mergeFrom in interface com.google.protobuf.Message.Builder

Specified by:

mergeFrom in interface com.google.protobuf.MessageLite.Builder

Overrides:

mergeFrom in class com.google.protobuf.AbstractMessage.Builder<ActiveLearningConfig.Builder>

Throws:

IOException

getHumanLabelingBudgetCase

public ActiveLearningConfig.HumanLabelingBudgetCase getHumanLabelingBudgetCase()

Specified by:

getHumanLabelingBudgetCase in interface ActiveLearningConfigOrBuilder

clearHumanLabelingBudget

public ActiveLearningConfig.Builder clearHumanLabelingBudget()

hasMaxDataItemCount

public boolean hasMaxDataItemCount()

 Max number of human labeled DataItems.
 

int64 max_data_item_count = 1;

Specified by:

hasMaxDataItemCount in interface ActiveLearningConfigOrBuilder

Returns:

Whether the maxDataItemCount field is set.

getMaxDataItemCount

public long getMaxDataItemCount()

 Max number of human labeled DataItems.
 

int64 max_data_item_count = 1;

Specified by:

getMaxDataItemCount in interface ActiveLearningConfigOrBuilder

Returns:

The maxDataItemCount.

setMaxDataItemCount

public ActiveLearningConfig.Builder setMaxDataItemCount(long value)

 Max number of human labeled DataItems.
 

int64 max_data_item_count = 1;

Parameters:

value - The maxDataItemCount to set.

Returns:

This builder for chaining.

clearMaxDataItemCount

public ActiveLearningConfig.Builder clearMaxDataItemCount()

 Max number of human labeled DataItems.
 

int64 max_data_item_count = 1;

Returns:

This builder for chaining.

hasMaxDataItemPercentage

public boolean hasMaxDataItemPercentage()

 Max percent of total DataItems for human labeling.
 

int32 max_data_item_percentage = 2;

Specified by:

hasMaxDataItemPercentage in interface ActiveLearningConfigOrBuilder

Returns:

Whether the maxDataItemPercentage field is set.

getMaxDataItemPercentage

public int getMaxDataItemPercentage()

 Max percent of total DataItems for human labeling.
 

int32 max_data_item_percentage = 2;

Specified by:

getMaxDataItemPercentage in interface ActiveLearningConfigOrBuilder

Returns:

The maxDataItemPercentage.

setMaxDataItemPercentage

public ActiveLearningConfig.Builder setMaxDataItemPercentage(int value)

 Max percent of total DataItems for human labeling.
 

int32 max_data_item_percentage = 2;

Parameters:

value - The maxDataItemPercentage to set.

Returns:

This builder for chaining.

clearMaxDataItemPercentage

public ActiveLearningConfig.Builder clearMaxDataItemPercentage()

 Max percent of total DataItems for human labeling.
 

int32 max_data_item_percentage = 2;

Returns:

This builder for chaining.

hasSampleConfig

public boolean hasSampleConfig()

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

Specified by:

hasSampleConfig in interface ActiveLearningConfigOrBuilder

Returns:

Whether the sampleConfig field is set.

getSampleConfig

public SampleConfig getSampleConfig()

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

Specified by:

getSampleConfig in interface ActiveLearningConfigOrBuilder

Returns:

The sampleConfig.

setSampleConfig

public ActiveLearningConfig.Builder setSampleConfig(SampleConfig value)

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

setSampleConfig

public ActiveLearningConfig.Builder setSampleConfig(SampleConfig.Builder builderForValue)

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

mergeSampleConfig

public ActiveLearningConfig.Builder mergeSampleConfig(SampleConfig value)

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

clearSampleConfig

public ActiveLearningConfig.Builder clearSampleConfig()

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

getSampleConfigBuilder

public SampleConfig.Builder getSampleConfigBuilder()

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

getSampleConfigOrBuilder

public SampleConfigOrBuilder getSampleConfigOrBuilder()

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

.google.cloud.aiplatform.v1beta1.SampleConfig sample_config = 3;

Specified by:

getSampleConfigOrBuilder in interface ActiveLearningConfigOrBuilder

hasTrainingConfig

public boolean hasTrainingConfig()

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

Specified by:

hasTrainingConfig in interface ActiveLearningConfigOrBuilder

Returns:

Whether the trainingConfig field is set.

getTrainingConfig

public TrainingConfig getTrainingConfig()

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

Specified by:

getTrainingConfig in interface ActiveLearningConfigOrBuilder

Returns:

The trainingConfig.

setTrainingConfig

public ActiveLearningConfig.Builder setTrainingConfig(TrainingConfig value)

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

setTrainingConfig

public ActiveLearningConfig.Builder setTrainingConfig(TrainingConfig.Builder builderForValue)

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

mergeTrainingConfig

public ActiveLearningConfig.Builder mergeTrainingConfig(TrainingConfig value)

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

clearTrainingConfig

public ActiveLearningConfig.Builder clearTrainingConfig()

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

getTrainingConfigBuilder

public TrainingConfig.Builder getTrainingConfigBuilder()

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

getTrainingConfigOrBuilder

public TrainingConfigOrBuilder getTrainingConfigOrBuilder()

 CMLE training config. For every active learning labeling iteration, system
 will train a machine learning model on CMLE. The trained model will be used
 by data sampling algorithm to select DataItems.
 

.google.cloud.aiplatform.v1beta1.TrainingConfig training_config = 4;

Specified by:

getTrainingConfigOrBuilder in interface ActiveLearningConfigOrBuilder

setUnknownFields

public final ActiveLearningConfig.Builder setUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

setUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

setUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>

mergeUnknownFields

public final ActiveLearningConfig.Builder mergeUnknownFields(com.google.protobuf.UnknownFieldSet unknownFields)

Specified by:

mergeUnknownFields in interface com.google.protobuf.Message.Builder

Overrides:

mergeUnknownFields in class com.google.protobuf.GeneratedMessageV3.Builder<ActiveLearningConfig.Builder>