Package com.google.genai.types

Class ReinforcementTuningHyperParameters.Builder

java.lang.Object

com.google.genai.types.ReinforcementTuningHyperParameters.Builder

Enclosing class:

ReinforcementTuningHyperParameters

public abstract static class ReinforcementTuningHyperParameters.Builder
extends Object

Builder for ReinforcementTuningHyperParameters.

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
abstract ReinforcementTuningHyperParameters.Builder	adapterSize(AdapterSize adapterSize)	Setter for adapterSize.
ReinforcementTuningHyperParameters.Builder	adapterSize(AdapterSize.Known knownType)	Setter for adapterSize given a known enum.
ReinforcementTuningHyperParameters.Builder	adapterSize(String adapterSize)	Setter for adapterSize given a string.
abstract ReinforcementTuningHyperParameters.Builder	batchSize(Integer batchSize)	Setter for batchSize.
abstract ReinforcementTuningHyperParameters	build()
abstract ReinforcementTuningHyperParameters.Builder	checkpointInterval(Integer checkpointInterval)	Setter for checkpointInterval.
ReinforcementTuningHyperParameters.Builder	clearAdapterSize()	Clears the value of adapterSize field.
ReinforcementTuningHyperParameters.Builder	clearBatchSize()	Clears the value of batchSize field.
ReinforcementTuningHyperParameters.Builder	clearCheckpointInterval()	Clears the value of checkpointInterval field.
ReinforcementTuningHyperParameters.Builder	clearEpochCount()	Clears the value of epochCount field.
ReinforcementTuningHyperParameters.Builder	clearEvaluateInterval()	Clears the value of evaluateInterval field.
ReinforcementTuningHyperParameters.Builder	clearLearningRateMultiplier()	Clears the value of learningRateMultiplier field.
ReinforcementTuningHyperParameters.Builder	clearMaxOutputTokens()	Clears the value of maxOutputTokens field.
ReinforcementTuningHyperParameters.Builder	clearSamplesPerPrompt()	Clears the value of samplesPerPrompt field.
ReinforcementTuningHyperParameters.Builder	clearThinkingLevel()	Clears the value of thinkingLevel field.
abstract ReinforcementTuningHyperParameters.Builder	epochCount(Long epochCount)	Setter for epochCount.
abstract ReinforcementTuningHyperParameters.Builder	evaluateInterval(Integer evaluateInterval)	Setter for evaluateInterval.
abstract ReinforcementTuningHyperParameters.Builder	learningRateMultiplier(Float learningRateMultiplier)	Setter for learningRateMultiplier.
abstract ReinforcementTuningHyperParameters.Builder	maxOutputTokens(Integer maxOutputTokens)	Setter for maxOutputTokens.
abstract ReinforcementTuningHyperParameters.Builder	samplesPerPrompt(Integer samplesPerPrompt)	Setter for samplesPerPrompt.
abstract ReinforcementTuningHyperParameters.Builder	thinkingLevel(ReinforcementTuningThinkingLevel thinkingLevel)	Setter for thinkingLevel.
ReinforcementTuningHyperParameters.Builder	thinkingLevel(ReinforcementTuningThinkingLevel.Known knownType)	Setter for thinkingLevel given a known enum.
ReinforcementTuningHyperParameters.Builder	thinkingLevel(String thinkingLevel)	Setter for thinkingLevel given a string.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

Builder

public Builder()

Method Details

epochCount

public abstract ReinforcementTuningHyperParameters.Builder epochCount(Long epochCount)

Setter for epochCount.

epochCount: Number of training epochs for the tuning job.

clearEpochCount

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearEpochCount()

Clears the value of epochCount field.

learningRateMultiplier

public abstract ReinforcementTuningHyperParameters.Builder learningRateMultiplier(Float learningRateMultiplier)

Setter for learningRateMultiplier.

learningRateMultiplier: Learning rate multiplier for Reinforcement Learning.

clearLearningRateMultiplier

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearLearningRateMultiplier()

Clears the value of learningRateMultiplier field.

adapterSize

public abstract ReinforcementTuningHyperParameters.Builder adapterSize(AdapterSize adapterSize)

Setter for adapterSize.

adapterSize: Adapter size for Reinforcement Tuning.

clearAdapterSize

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearAdapterSize()

Clears the value of adapterSize field.

adapterSize

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder adapterSize(AdapterSize.Known knownType)

Setter for adapterSize given a known enum.

adapterSize: Adapter size for Reinforcement Tuning.

adapterSize

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder adapterSize(String adapterSize)

Setter for adapterSize given a string.

adapterSize: Adapter size for Reinforcement Tuning.

samplesPerPrompt

public abstract ReinforcementTuningHyperParameters.Builder samplesPerPrompt(Integer samplesPerPrompt)

Setter for samplesPerPrompt.

samplesPerPrompt: Number of different responses to generate per prompt during tuning.

clearSamplesPerPrompt

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearSamplesPerPrompt()

Clears the value of samplesPerPrompt field.

batchSize

public abstract ReinforcementTuningHyperParameters.Builder batchSize(Integer batchSize)

Setter for batchSize.

batchSize: Batch size for the tuning job. How many prompts to process at a train step. If not set, the batch size will be determined automatically.

clearBatchSize

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearBatchSize()

Clears the value of batchSize field.

evaluateInterval

public abstract ReinforcementTuningHyperParameters.Builder evaluateInterval(Integer evaluateInterval)

Setter for evaluateInterval.

evaluateInterval: How often (in steps) to evaluate the tuning job during training. If not set, evaluation will run per epoch.

clearEvaluateInterval

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearEvaluateInterval()

Clears the value of evaluateInterval field.

checkpointInterval

public abstract ReinforcementTuningHyperParameters.Builder checkpointInterval(Integer checkpointInterval)

Setter for checkpointInterval.

checkpointInterval: How often (in steps) to save checkpoints during training. If not set, one checkpoint per epoch will be saved.

clearCheckpointInterval

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearCheckpointInterval()

Clears the value of checkpointInterval field.

maxOutputTokens

public abstract ReinforcementTuningHyperParameters.Builder maxOutputTokens(Integer maxOutputTokens)

Setter for maxOutputTokens.

maxOutputTokens: The maximum number of tokens to generate per prompt. If not set, defaults to 32768.

clearMaxOutputTokens

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearMaxOutputTokens()

Clears the value of maxOutputTokens field.

thinkingLevel

public abstract ReinforcementTuningHyperParameters.Builder thinkingLevel(ReinforcementTuningThinkingLevel thinkingLevel)

Setter for thinkingLevel.

thinkingLevel: Indicates the maximum thinking depth. Use with earlier models shall result in error.

clearThinkingLevel

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder clearThinkingLevel()

Clears the value of thinkingLevel field.

thinkingLevel

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder thinkingLevel(ReinforcementTuningThinkingLevel.Known knownType)

Setter for thinkingLevel given a known enum.

thinkingLevel: Indicates the maximum thinking depth. Use with earlier models shall result in error.

thinkingLevel

@CanIgnoreReturnValue
public ReinforcementTuningHyperParameters.Builder thinkingLevel(String thinkingLevel)

Setter for thinkingLevel given a string.

thinkingLevel: Indicates the maximum thinking depth. Use with earlier models shall result in error.

build

public abstract ReinforcementTuningHyperParameters build()