edu.umass.cs.mallet.base.pipe

Class AddClassifierTokenPredictions.TokenClassifiers

java.lang.Object

edu.umass.cs.mallet.base.classify.Classifier

edu.umass.cs.mallet.base.pipe.AddClassifierTokenPredictions.TokenClassifiers

All Implemented Interfaces:

Serializable

Enclosing class:

AddClassifierTokenPredictions

public static class AddClassifierTokenPredictions.TokenClassifiers
extends Classifier
implements Serializable

This inner class represents the trained token classifiers.

Author:

ghuang

See Also:

Serialized Form

Field Summary

Fields inherited from class edu.umass.cs.mallet.base.classify.Classifier

instancePipe

Constructor Summary

Constructors

Constructor and Description
TokenClassifiers(ClassifierTrainer trainer, InstanceList trainList, int randSeed, int numCV)
TokenClassifiers(InstanceList trainList) Train a token classifier using the given Instances with 5-fold cross validation
TokenClassifiers(InstanceList trainList, int randSeed, int numCV)

Method Summary

Modifier and Type	Method and Description
Classification	classify(Instance instance)
Classification	classify(Instance instance, boolean useOutOfFold)

Methods inherited from class edu.umass.cs.mallet.base.classify.Classifier

classify, classify, classify, getAccuracy, getAccuracy, getAlphabet, getF1, getF1, getF1, getF1, getInstancePipe, getLabelAlphabet, getPrecision, getPrecision, getPrecision, getPrecision, getRecall, getRecall, getRecall, getRecall, print, print

Methods inherited from class java.lang.Object

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

Constructor Detail

TokenClassifiers

public TokenClassifiers(InstanceList trainList)

Train a token classifier using the given Instances with 5-fold cross validation

Parameters:

trainList - training instances

TokenClassifiers

public TokenClassifiers(InstanceList trainList,
                        int randSeed,
                        int numCV)

TokenClassifiers

public TokenClassifiers(ClassifierTrainer trainer,
                        InstanceList trainList,
                        int randSeed,
                        int numCV)

Method Detail

classify

public Classification classify(Instance instance)

Specified by:

classify in class Classifier

classify

public Classification classify(Instance instance,
                               boolean useOutOfFold)

Parameters:

instance - the instance to classify

useOutOfFold - whether to check the instance name and use the out-of-fold classifier if the instance name matches one in the training data

Returns:

the token classifier's output