edu.umass.cs.mallet.base.classify

Class BaggingTrainer

java.lang.Object

edu.umass.cs.mallet.base.classify.ClassifierTrainer

edu.umass.cs.mallet.base.classify.BaggingTrainer

public class BaggingTrainer
extends ClassifierTrainer

Bagging Trainer.

Author:

Andrew McCallum mccallum@cs.umass.edu

Constructor Summary

Constructors

Constructor and Description
BaggingTrainer(ClassifierTrainer underlyingTrainer)
BaggingTrainer(ClassifierTrainer underlyingTrainer, int numBags)

Method Summary

Modifier and Type	Method and Description
Classifier	train(InstanceList trainingList, InstanceList validationList, InstanceList testSet, ClassifierEvaluating evaluator, Classifier initialClassifier) Return a new classifier tuned using the three arguments.

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

main, toString, train, train, train, train

Methods inherited from class java.lang.Object

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

Constructor Detail

BaggingTrainer

public BaggingTrainer(ClassifierTrainer underlyingTrainer,
                      int numBags)

BaggingTrainer

public BaggingTrainer(ClassifierTrainer underlyingTrainer)

Method Detail

train

public Classifier train(InstanceList trainingList,
                        InstanceList validationList,
                        InstanceList testSet,
                        ClassifierEvaluating evaluator,
                        Classifier initialClassifier)

Description copied from class: ClassifierTrainer

Return a new classifier tuned using the three arguments.

Specified by:

train in class ClassifierTrainer

Parameters:

trainingList - examples used to set parameters.

validationList - examples used to tune meta-parameters. May be null.

testSet - examples not examined at all for training, but passed on to diagnostic routines. May be null.

initialClassifier - training process may start from here. The parameters of the initialClassifier are not modified. May be null.