cc.mallet.fst
Class CRFOptimizableByGradientValues

java.lang.Object
  cc.mallet.fst.CRFOptimizableByGradientValues

All Implemented Interfaces:

Optimizable, Optimizable.ByGradientValue

public class CRFOptimizableByGradientValues
extends java.lang.Object
implements Optimizable.ByGradientValue

A CRF objective function that is the sum of multiple objective functions that implement Optimizable.ByGradientValue.

Author:

Gregory Druck, Gaurav Chandalia

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

CRFOptimizableByGradientValues(CRF crf, Optimizable.ByGradientValue[] opts)

Method Summary

int	getNumParameters()
double	getParameter(int index)
void	getParameters(double[] buffer)
double	getValue() Returns the log probability of the training sequence labels and the prior over parameters.
void	getValueGradient(double[] buffer)
void	setParameter(int index, double value)
void	setParameters(double[] buff)

Methods inherited from class java.lang.Object

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

Constructor Detail

CRFOptimizableByGradientValues

public CRFOptimizableByGradientValues(CRF crf,
                                      Optimizable.ByGradientValue[] opts)

Parameters:

crf - CRF whose parameters we wish to estimate.

opts - Optimizable.ByGradientValue objective functions. Parameters are estimated by maximizing the sum of the individual objective functions.

Method Detail

getNumParameters

public int getNumParameters()

Specified by:

getNumParameters in interface Optimizable

getParameters

public void getParameters(double[] buffer)

Specified by:

getParameters in interface Optimizable

getParameter

public double getParameter(int index)

Specified by:

getParameter in interface Optimizable

setParameters

public void setParameters(double[] buff)

Specified by:

setParameters in interface Optimizable

setParameter

public void setParameter(int index,
                         double value)

Specified by:

setParameter in interface Optimizable

getValue

public double getValue()

Returns the log probability of the training sequence labels and the prior over parameters.

Specified by:

getValue in interface Optimizable.ByGradientValue

getValueGradient

public void getValueGradient(double[] buffer)

Specified by:

getValueGradient in interface Optimizable.ByGradientValue