com.github.benmanes.caffeine.cache.simulator.policy.sketch.climbing.gradient

Class Adam

java.lang.Object

com.github.benmanes.caffeine.cache.simulator.policy.sketch.climbing.AbstractClimber

com.github.benmanes.caffeine.cache.simulator.policy.sketch.climbing.gradient.Adam

All Implemented Interfaces:

HillClimber

public final class Adam
extends AbstractClimber

Adaptive Moment Estimation (Adam) optimizer. Adam is an improvement on stochastic gradient descent with momentum, that incorporates adaptive learning rates. The authors describe it in Adam: A Method for Stochastic Optimization.

Nested Class Summary

Nested classes/interfaces inherited from interface com.github.benmanes.caffeine.cache.simulator.policy.sketch.climbing.HillClimber

HillClimber.Adaptation, HillClimber.QueueType

Field Summary

Fields inherited from class com.github.benmanes.caffeine.cache.simulator.policy.sketch.climbing.AbstractClimber

hitsInMain, hitsInSample, hitsInWindow, missesInSample, previousHitRate, sampleSize

Constructor Summary

Constructors

Constructor and Description
Adam(Config config)

Method Summary

Modifier and Type	Method and Description
protected double	adjust(double hitRate) Returns the amount to adapt by.
protected void	resetSample(double hitRate) Starts the next sample period.

Methods inherited from class com.github.benmanes.caffeine.cache.simulator.policy.sketch.climbing.AbstractClimber

adapt, onHit, onMiss

Methods inherited from class java.lang.Object

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

Constructor Detail

Adam

public Adam(Config config)

Method Detail

resetSample

protected void resetSample(double hitRate)

Description copied from class: AbstractClimber

Starts the next sample period.

Overrides:

resetSample in class AbstractClimber

adjust

protected double adjust(double hitRate)

Description copied from class: AbstractClimber

Returns the amount to adapt by.

Specified by:

adjust in class AbstractClimber