cc.mallet.classify.constraints.pr
Class MaxEntL2FLPRConstraints

java.lang.Object
  cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints
      cc.mallet.classify.constraints.pr.MaxEntL2FLPRConstraints

All Implemented Interfaces:

MaxEntPRConstraint

public class MaxEntL2FLPRConstraints
extends MaxEntFLPRConstraints

Expectation constraint for use with Posterior Regularization (PR). Penalizes L_2^2 difference from target distribution.

Author:

Gregory Druck

Nested Class Summary

protected class

MaxEntL2FLPRConstraints.MaxEntL2FLPRConstraint

Nested classes/interfaces inherited from class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints

MaxEntFLPRConstraints.MaxEntFLPRConstraint

Field Summary

Fields inherited from class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints

constraints, indexCache, numFeatures, numLabels, useValues, valueCache

Constructor Summary

MaxEntL2FLPRConstraints(int numFeatures, int numLabels, boolean useValues, boolean normalize)

Method Summary

void	addConstraint(int fi, double[] ex, double weight)
double	getAuxiliaryValueContribution(double[] parameters)
double	getCompleteValueContribution()
void	getGradient(double[] parameters, double[] gradient)
double	getScore(FeatureVector input, int label, double[] parameters)
int	numDimensions()

Methods inherited from class cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints

incrementExpectations, preProcess, preProcess, zeroExpectations

Methods inherited from class java.lang.Object

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

Constructor Detail

MaxEntL2FLPRConstraints

public MaxEntL2FLPRConstraints(int numFeatures,
                               int numLabels,
                               boolean useValues,
                               boolean normalize)

Method Detail

addConstraint

public void addConstraint(int fi,
                          double[] ex,
                          double weight)

Specified by:

addConstraint in class MaxEntFLPRConstraints

numDimensions

public int numDimensions()

getAuxiliaryValueContribution

public double getAuxiliaryValueContribution(double[] parameters)

getGradient

public void getGradient(double[] parameters,
                        double[] gradient)

getCompleteValueContribution

public double getCompleteValueContribution()

getScore

public double getScore(FeatureVector input,
                       int label,
                       double[] parameters)