cc.mallet.grmm.util
Class CachingOptimizable.ByGradient

java.lang.Object
  cc.mallet.grmm.util.CachingOptimizable.ByGradient

All Implemented Interfaces:

Optimizable, Optimizable.ByGradientValue

Direct Known Subclasses:

PiecewiseACRFTrainer.Maxable, PseudolikelihoodACRFTrainer.Maxable, PwplACRFTrainer.Maxable

Enclosing class:

CachingOptimizable

public abstract static class CachingOptimizable.ByGradient
extends java.lang.Object
implements Optimizable.ByGradientValue

Nested Class Summary

Nested classes/interfaces inherited from interface cc.mallet.optimize.Optimizable

Optimizable.ByBatchGradient, Optimizable.ByCombiningBatchGradient, Optimizable.ByGISUpdate, Optimizable.ByGradient, Optimizable.ByGradientValue, Optimizable.ByHessian, Optimizable.ByValue, Optimizable.ByVotedPerceptron

Constructor Summary

CachingOptimizable.ByGradient()

Method Summary

protected abstract double	computeValue()
protected abstract void	computeValueGradient(double[] buffer)
double	getValue()
void	getValueGradient(double[] buffer)
protected void	setCachedGradient(double[] gradient) Sets the cached gradient.

Methods inherited from class java.lang.Object

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

Methods inherited from interface cc.mallet.optimize.Optimizable

getNumParameters, getParameter, getParameters, setParameter, setParameters

Constructor Detail

CachingOptimizable.ByGradient

public CachingOptimizable.ByGradient()

Method Detail

computeValue

protected abstract double computeValue()

computeValueGradient

protected abstract void computeValueGradient(double[] buffer)

getValueGradient

public void getValueGradient(double[] buffer)

Specified by:

getValueGradient in interface Optimizable.ByGradientValue

getValue

public double getValue()

Specified by:

getValue in interface Optimizable.ByGradientValue

setCachedGradient

protected void setCachedGradient(double[] gradient)

Sets the cached gradient. This is useful for subclasses that need to compute the value and the gradient at the same time. If they call this method in computeValue(), then their computeValueGradient() will never be called.

Parameters:

gradient -