Package com.google.genai.types

Class PreferenceOptimizationHyperParameters.Builder

java.lang.Object

com.google.genai.types.PreferenceOptimizationHyperParameters.Builder

Enclosing class:

PreferenceOptimizationHyperParameters

public abstract static class PreferenceOptimizationHyperParameters.Builder
extends Object

Builder for PreferenceOptimizationHyperParameters.

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
abstract PreferenceOptimizationHyperParameters.Builder	adapterSize(AdapterSize adapterSize)	Setter for adapterSize.
PreferenceOptimizationHyperParameters.Builder	adapterSize(AdapterSize.Known knownType)	Setter for adapterSize given a known enum.
PreferenceOptimizationHyperParameters.Builder	adapterSize(String adapterSize)	Setter for adapterSize given a string.
abstract PreferenceOptimizationHyperParameters.Builder	beta(Double beta)	Setter for beta.
abstract PreferenceOptimizationHyperParameters	build()
PreferenceOptimizationHyperParameters.Builder	clearAdapterSize()	Clears the value of adapterSize field.
PreferenceOptimizationHyperParameters.Builder	clearBeta()	Clears the value of beta field.
PreferenceOptimizationHyperParameters.Builder	clearEpochCount()	Clears the value of epochCount field.
PreferenceOptimizationHyperParameters.Builder	clearLearningRateMultiplier()	Clears the value of learningRateMultiplier field.
abstract PreferenceOptimizationHyperParameters.Builder	epochCount(Long epochCount)	Setter for epochCount.
abstract PreferenceOptimizationHyperParameters.Builder	learningRateMultiplier(Double learningRateMultiplier)	Setter for learningRateMultiplier.

Methods inherited from class java.lang.Object

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

Constructor Details

Builder

public Builder()

Method Details

adapterSize

public abstract PreferenceOptimizationHyperParameters.Builder adapterSize(AdapterSize adapterSize)

Setter for adapterSize.

adapterSize: Optional. Adapter size for preference optimization.

clearAdapterSize

@CanIgnoreReturnValue
public PreferenceOptimizationHyperParameters.Builder clearAdapterSize()

Clears the value of adapterSize field.

adapterSize

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

Setter for adapterSize given a known enum.

adapterSize: Optional. Adapter size for preference optimization.

adapterSize

@CanIgnoreReturnValue
public PreferenceOptimizationHyperParameters.Builder adapterSize(String adapterSize)

Setter for adapterSize given a string.

adapterSize: Optional. Adapter size for preference optimization.

beta

public abstract PreferenceOptimizationHyperParameters.Builder beta(Double beta)

Setter for beta.

beta: Optional. Weight for KL Divergence regularization.

clearBeta

@CanIgnoreReturnValue
public PreferenceOptimizationHyperParameters.Builder clearBeta()

Clears the value of beta field.

epochCount

public abstract PreferenceOptimizationHyperParameters.Builder epochCount(Long epochCount)

Setter for epochCount.

epochCount: Optional. Number of complete passes the model makes over the entire training dataset during training.

clearEpochCount

@CanIgnoreReturnValue
public PreferenceOptimizationHyperParameters.Builder clearEpochCount()

Clears the value of epochCount field.

learningRateMultiplier

public abstract PreferenceOptimizationHyperParameters.Builder learningRateMultiplier(Double learningRateMultiplier)

Setter for learningRateMultiplier.

learningRateMultiplier: Optional. Multiplier for adjusting the default learning rate.

clearLearningRateMultiplier

@CanIgnoreReturnValue
public PreferenceOptimizationHyperParameters.Builder clearLearningRateMultiplier()

Clears the value of learningRateMultiplier field.

build

public abstract PreferenceOptimizationHyperParameters build()