Package cc.mallet.classify.constraints.pr

Class MaxEntFLPRConstraints

java.lang.Object

cc.mallet.classify.constraints.pr.MaxEntFLPRConstraints

All Implemented Interfaces:

MaxEntPRConstraint

Direct Known Subclasses:

MaxEntL2FLPRConstraints

public abstract class MaxEntFLPRConstraints
extends java.lang.Object
implements MaxEntPRConstraint

Abstract expectation constraint for use with Posterior Regularization (PR).

Author:

Gregory Druck

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
protected class	MaxEntFLPRConstraints.MaxEntFLPRConstraint

Field Summary

Fields

Modifier and Type	Field	Description
protected com.carrotsearch.hppc.IntObjectHashMap<MaxEntFLPRConstraints.MaxEntFLPRConstraint>	constraints
protected com.carrotsearch.hppc.IntArrayList	indexCache
protected int	numFeatures
protected int	numLabels
protected boolean	useValues
protected com.carrotsearch.hppc.DoubleArrayList	valueCache

Constructor Summary

Constructors

Constructor	Description
MaxEntFLPRConstraints(int numFeatures, int numLabels, boolean useValues)

Method Summary

Modifier and Type	Method	Description
abstract void	addConstraint(int fi, double[] ex, double weight)
void	incrementExpectations(FeatureVector input, double[] dist, double weight)
void	preProcess(FeatureVector input)	Gives the constraint the option to do some caching using only the FeatureVector.
java.util.BitSet	preProcess(InstanceList data)
void	zeroExpectations()	Zero expectation values.

Methods inherited from class java.lang.Object

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

Methods inherited from interface cc.mallet.classify.constraints.pr.MaxEntPRConstraint

getAuxiliaryValueContribution, getCompleteValueContribution, getGradient, getScore, numDimensions

Field Detail

useValues

protected boolean useValues

numFeatures

protected int numFeatures

numLabels

protected int numLabels

constraints

protected com.carrotsearch.hppc.IntObjectHashMap<MaxEntFLPRConstraints.MaxEntFLPRConstraint> constraints

indexCache

protected com.carrotsearch.hppc.IntArrayList indexCache

valueCache

protected com.carrotsearch.hppc.DoubleArrayList valueCache

Constructor Detail

MaxEntFLPRConstraints

public MaxEntFLPRConstraints(int numFeatures,
                             int numLabels,
                             boolean useValues)

Method Detail

addConstraint

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

incrementExpectations

public void incrementExpectations(FeatureVector input,
                                  double[] dist,
                                  double weight)

Specified by:

incrementExpectations in interface MaxEntPRConstraint

zeroExpectations

public void zeroExpectations()

Description copied from interface: MaxEntPRConstraint

Zero expectation values. Called before re-computing gradient.

Specified by:

zeroExpectations in interface MaxEntPRConstraint

preProcess

public java.util.BitSet preProcess(InstanceList data)

Specified by:

preProcess in interface MaxEntPRConstraint

Parameters:

data - Unlabeled data

Returns:

Returns a bitset of the size of the data, with the bit set if a constraint feature fires in that instance.

preProcess

public void preProcess(FeatureVector input)

Description copied from interface: MaxEntPRConstraint

Gives the constraint the option to do some caching using only the FeatureVector. For example, the constrained input features could be cached.

Specified by:

preProcess in interface MaxEntPRConstraint

Parameters:

input - FeatureVector input