Package com.google.genai.types

Class SupervisedHyperParameters.Builder

java.lang.Object

com.google.genai.types.SupervisedHyperParameters.Builder

Enclosing class:

SupervisedHyperParameters

public abstract static class SupervisedHyperParameters.Builder
extends Object

Builder for SupervisedHyperParameters.

Constructor Summary

Constructors

Constructor	Description
Builder()

Method Summary

Modifier and Type	Method	Description
abstract SupervisedHyperParameters.Builder	adapterSize(AdapterSize adapterSize)	Setter for adapterSize.
SupervisedHyperParameters.Builder	adapterSize(AdapterSize.Known knownType)	Setter for adapterSize given a known enum.
SupervisedHyperParameters.Builder	adapterSize(String adapterSize)	Setter for adapterSize given a string.
abstract SupervisedHyperParameters	build()
abstract SupervisedHyperParameters.Builder	epochCount(Long epochCount)	Setter for epochCount.
abstract SupervisedHyperParameters.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 SupervisedHyperParameters.Builder adapterSize(AdapterSize adapterSize)

Setter for adapterSize.

adapterSize: Optional. Adapter size for tuning.

adapterSize

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

Setter for adapterSize given a known enum.

adapterSize: Optional. Adapter size for tuning.

adapterSize

@CanIgnoreReturnValue
public SupervisedHyperParameters.Builder adapterSize(String adapterSize)

Setter for adapterSize given a string.

adapterSize: Optional. Adapter size for tuning.

epochCount

public abstract SupervisedHyperParameters.Builder epochCount(Long epochCount)

Setter for epochCount.

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

learningRateMultiplier

public abstract SupervisedHyperParameters.Builder learningRateMultiplier(Double learningRateMultiplier)

Setter for learningRateMultiplier.

learningRateMultiplier: Optional. Multiplier for adjusting the default learning rate. Mutually exclusive with `learning_rate`.

build

public abstract SupervisedHyperParameters build()