cc.mallet.classify
Class MaxEntPRTrainer

java.lang.Object
  cc.mallet.classify.ClassifierTrainer<MaxEnt>
      cc.mallet.classify.MaxEntPRTrainer

All Implemented Interfaces:

ClassifierTrainer.ByOptimization<MaxEnt>

public class MaxEntPRTrainer
extends ClassifierTrainer<MaxEnt>
implements ClassifierTrainer.ByOptimization<MaxEnt>

Penalty (soft) version of Posterior Regularization (PR) for training MaxEnt.

Author:

Gregory Druck gdruck@cs.umass.edu

Nested Class Summary

Nested classes/interfaces inherited from class cc.mallet.classify.ClassifierTrainer

ClassifierTrainer.ByActiveLearning<C extends Classifier>, ClassifierTrainer.ByIncrements<C extends Classifier>, ClassifierTrainer.ByInstanceIncrements<C extends Classifier>, ClassifierTrainer.ByOptimization<C extends Classifier>, ClassifierTrainer.Factory<CT extends ClassifierTrainer<? extends Classifier>>

Field Summary

Fields inherited from class cc.mallet.classify.ClassifierTrainer

finishedTraining, validationSet

Constructor Summary

MaxEntPRTrainer()

MaxEntPRTrainer(java.util.ArrayList<MaxEntPRConstraint> constraints)

Method Summary

MaxEnt	getClassifier()
int	getIteration()
Optimizer	getOptimizer()
boolean	isFinishedTraining()
void	setConstraintsFile(java.lang.String filename)
void	setMaxIterations(int minIterations)
void	setMinIterations(int minIterations)
void	setNormalize(boolean normalize)
void	setPGaussianPriorVariance(double pGPV)
void	setQGaussianPriorVariance(double qGPV)
void	setUseValues(boolean flag)
MaxEnt	train(InstanceList trainingSet)
MaxEnt	train(InstanceList trainingSet, int maxIterations)
MaxEnt	train(InstanceList data, int minIterations, int maxIterations)

Methods inherited from class cc.mallet.classify.ClassifierTrainer

getValidationInstances, setValidationInstances

Methods inherited from class java.lang.Object

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

Constructor Detail

MaxEntPRTrainer

public MaxEntPRTrainer()

MaxEntPRTrainer

public MaxEntPRTrainer(java.util.ArrayList<MaxEntPRConstraint> constraints)

Method Detail

setPGaussianPriorVariance

public void setPGaussianPriorVariance(double pGPV)

setQGaussianPriorVariance

public void setQGaussianPriorVariance(double qGPV)

setConstraintsFile

public void setConstraintsFile(java.lang.String filename)

setUseValues

public void setUseValues(boolean flag)

setMinIterations

public void setMinIterations(int minIterations)

setMaxIterations

public void setMaxIterations(int minIterations)

setNormalize

public void setNormalize(boolean normalize)

getOptimizer

public Optimizer getOptimizer()

Specified by:

getOptimizer in interface ClassifierTrainer.ByOptimization<MaxEnt>

getIteration

public int getIteration()

Specified by:

getIteration in interface ClassifierTrainer.ByOptimization<MaxEnt>

isFinishedTraining

public boolean isFinishedTraining()

Overrides:

isFinishedTraining in class ClassifierTrainer<MaxEnt>

getClassifier

public MaxEnt getClassifier()

Specified by:

getClassifier in class ClassifierTrainer<MaxEnt>

train

public MaxEnt train(InstanceList trainingSet)

Specified by:

train in class ClassifierTrainer<MaxEnt>

train

public MaxEnt train(InstanceList trainingSet,
                    int maxIterations)

Specified by:

train in interface ClassifierTrainer.ByOptimization<MaxEnt>

train

public MaxEnt train(InstanceList data,
                    int minIterations,
                    int maxIterations)