cc.mallet.classify

Class MCMaxEnt

java.lang.Object

cc.mallet.classify.Classifier

cc.mallet.classify.MCMaxEnt

All Implemented Interfaces:

AlphabetCarrying, java.io.Serializable

public class MCMaxEnt
extends Classifier
implements java.io.Serializable

Maximum Entropy classifier.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
MCMaxEnt(Pipe dataPipe, double[] parameters)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection[] perClassFeatureSelection)
MCMaxEnt(Pipe dataPipe, double[] parameters, FeatureSelection featureSelection, FeatureSelection[] perClassFeatureSelection)

Method Summary

Modifier and Type	Method and Description
Classification	classify(Instance instance)
void	getClassificationScores(Instance instance, double[] scores)
double[]	getParameters()
void	getUnnormalizedClassificationScores(Instance instance, double[] scores)
void	print() Outputs human-readable description of classifier (e.g., list of weights, decision tree) to System.out
void	setParameter(int classIndex, int featureIndex, double value)

Methods inherited from class cc.mallet.classify.Classifier

alphabetsMatch, classify, classify, classify, getAccuracy, getAlphabet, getAlphabets, getAverageRank, getF1, getF1, getF1, getFeatureSelection, getInstancePipe, getLabelAlphabet, getPerClassFeatureSelection, getPrecision, getPrecision, getPrecision, getRecall, getRecall, getRecall, print

Methods inherited from class java.lang.Object

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

Constructor Detail

MCMaxEnt

public MCMaxEnt(Pipe dataPipe,
                double[] parameters,
                FeatureSelection featureSelection,
                FeatureSelection[] perClassFeatureSelection)

MCMaxEnt

public MCMaxEnt(Pipe dataPipe,
                double[] parameters,
                FeatureSelection featureSelection)

MCMaxEnt

public MCMaxEnt(Pipe dataPipe,
                double[] parameters,
                FeatureSelection[] perClassFeatureSelection)

MCMaxEnt

public MCMaxEnt(Pipe dataPipe,
                double[] parameters)

Method Detail

getParameters

public double[] getParameters()

setParameter

public void setParameter(int classIndex,
                         int featureIndex,
                         double value)

getUnnormalizedClassificationScores

public void getUnnormalizedClassificationScores(Instance instance,
                                                double[] scores)

getClassificationScores

public void getClassificationScores(Instance instance,
                                    double[] scores)

classify

public Classification classify(Instance instance)

Specified by:

classify in class Classifier

print

public void print()

Description copied from class: Classifier

Outputs human-readable description of classifier (e.g., list of weights, decision tree) to System.out

Overrides:

print in class Classifier