Class TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder (2.92.0)

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public static final class TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder extends GeneratedMessage.Builder<TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder> implements TrainProcessorVersionRequest.FoundationModelTuningOptionsOrBuilder

Options to control foundation model tuning of the processor.

Protobuf type google.cloud.documentai.v1beta3.TrainProcessorVersionRequest.FoundationModelTuningOptions

Inheritance

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

Implements

TrainProcessorVersionRequest.FoundationModelTuningOptionsOrBuilder

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 TrainProcessorVersionRequest.FoundationModelTuningOptions build()

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions

buildPartial()

public TrainProcessorVersionRequest.FoundationModelTuningOptions buildPartial()

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions

clear()

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder clear()

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder

Overrides

GeneratedMessage.Builder<BuilderType>.clear()

clearLearningRateMultiplier()

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder clearLearningRateMultiplier()

Optional. The multiplier to apply to the recommended learning rate. Valid values are between 0.1 and 10. If not provided, recommended learning rate will be used.

float learning_rate_multiplier = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder	This builder for chaining.

clearPreviousFineTunedProcessorVersionName()

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder clearPreviousFineTunedProcessorVersionName()

Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.

string previous_fine_tuned_processor_version_name = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder	This builder for chaining.

clearTrainSteps()

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder clearTrainSteps()

Optional. The number of steps to run for model tuning. Valid values are between 1 and 400. If not provided, recommended steps will be used.

int32 train_steps = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder	This builder for chaining.

getDefaultInstanceForType()

public TrainProcessorVersionRequest.FoundationModelTuningOptions getDefaultInstanceForType()

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()

Returns
Type	Description
Descriptor

Overrides

GeneratedMessage.Builder<BuilderType>.getDescriptorForType()

getLearningRateMultiplier()

public float getLearningRateMultiplier()

Optional. The multiplier to apply to the recommended learning rate. Valid values are between 0.1 and 10. If not provided, recommended learning rate will be used.

float learning_rate_multiplier = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The learningRateMultiplier.

getPreviousFineTunedProcessorVersionName()

public String getPreviousFineTunedProcessorVersionName()

Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.

string previous_fine_tuned_processor_version_name = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The previousFineTunedProcessorVersionName.

getPreviousFineTunedProcessorVersionNameBytes()

public ByteString getPreviousFineTunedProcessorVersionNameBytes()

Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.

string previous_fine_tuned_processor_version_name = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for previousFineTunedProcessorVersionName.

getTrainSteps()

public int getTrainSteps()

Optional. The number of steps to run for model tuning. Valid values are between 1 and 400. If not provided, recommended steps will be used.

int32 train_steps = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The trainSteps.

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(TrainProcessorVersionRequest.FoundationModelTuningOptions other)

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder mergeFrom(TrainProcessorVersionRequest.FoundationModelTuningOptions other)

Parameter
Name	Description
other	TrainProcessorVersionRequest.FoundationModelTuningOptions

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder

mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder mergeFrom(CodedInputStream input, ExtensionRegistryLite extensionRegistry)

Parameters
Name	Description
input	CodedInputStream
extensionRegistry	ExtensionRegistryLite

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder

Overrides

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

Exceptions
Type	Description
IOException

mergeFrom(Message other)

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder mergeFrom(Message other)

Parameter
Name	Description
other	Message

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder

Overrides

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

setLearningRateMultiplier(float value)

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder setLearningRateMultiplier(float value)

Optional. The multiplier to apply to the recommended learning rate. Valid values are between 0.1 and 10. If not provided, recommended learning rate will be used.

float learning_rate_multiplier = 3 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	float The learningRateMultiplier to set.

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder	This builder for chaining.

setPreviousFineTunedProcessorVersionName(String value)

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder setPreviousFineTunedProcessorVersionName(String value)

Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.

string previous_fine_tuned_processor_version_name = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	String The previousFineTunedProcessorVersionName to set.

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder	This builder for chaining.

setPreviousFineTunedProcessorVersionNameBytes(ByteString value)

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder setPreviousFineTunedProcessorVersionNameBytes(ByteString value)

Optional. Resource name of a previously fine tuned version id to copy the overwritten configs from. The base_processor_version should be newer than the base processor version used to fine tune this provided processor version. Format: projects/{project}/locations/{location}/processors/{processor}/processorVersions/{processorVersion}.

string previous_fine_tuned_processor_version_name = 5 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	ByteString The bytes for previousFineTunedProcessorVersionName to set.

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder	This builder for chaining.

setTrainSteps(int value)

public TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder setTrainSteps(int value)

Optional. The number of steps to run for model tuning. Valid values are between 1 and 400. If not provided, recommended steps will be used.

int32 train_steps = 2 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
value	int The trainSteps to set.

Returns
Type	Description
TrainProcessorVersionRequest.FoundationModelTuningOptions.Builder	This builder for chaining.