edu.cmu.minorthird.classify.semisupervised
Class SemiSupervisedNaiveBayesLearner

java.lang.Object
  edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner
      edu.cmu.minorthird.classify.semisupervised.SemiSupervisedNaiveBayesLearner

All Implemented Interfaces:

ClassifierLearner, java.lang.Cloneable

public class SemiSupervisedNaiveBayesLearner
extends SemiSupervisedBatchClassifierLearner

Implementation of the methods described in: K. Nigam, A. McCallum, S. Thrun and T. Mitchell. Text Classifiaction from labeled and unlabeled documents using EM. W. Choen editor, Machine Learning, 1999.

Author:

Edoardo Airoldi Date: Mar 13, 2004

Field Summary

Fields inherited from class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

classifier

Constructor Summary

SemiSupervisedNaiveBayesLearner()

SemiSupervisedNaiveBayesLearner(int iterations)

Method Summary

Classifier	batchTrain(SemiSupervisedDataset dataset) subclasses should use this method to implement a batch supervised learning algorithm.
ClassifierLearner	copy() Make a copy of the learner.
ExampleSchema	getSchema() Returns the ExampleSchema - constraints on what the Examples will be.
static void	main(java.lang.String[] args)
void	setInstancePool(java.util.Iterator<Instance> i) subclasses should use this method to get the unlabeled examples available for semi-supervised learning.
void	setSchema(ExampleSchema schema) Enables control on number of classes allowed to be passed to the learner

Methods inherited from class edu.cmu.minorthird.classify.semisupervised.SemiSupervisedBatchClassifierLearner

addExample, completeTraining, getClassifier, hasNextQuery, nextQuery, reset

Methods inherited from class java.lang.Object

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

Constructor Detail

SemiSupervisedNaiveBayesLearner

public SemiSupervisedNaiveBayesLearner()

SemiSupervisedNaiveBayesLearner

public SemiSupervisedNaiveBayesLearner(int iterations)

Method Detail

setSchema

public void setSchema(ExampleSchema schema)

Description copied from class: SemiSupervisedBatchClassifierLearner

Enables control on number of classes allowed to be passed to the learner

Specified by:

setSchema in interface ClassifierLearner

Specified by:

setSchema in class SemiSupervisedBatchClassifierLearner

setInstancePool

public void setInstancePool(java.util.Iterator<Instance> i)

Description copied from class: SemiSupervisedBatchClassifierLearner

subclasses should use this method to get the unlabeled examples available for semi-supervised learning.

Specified by:

setInstancePool in interface ClassifierLearner

Specified by:

setInstancePool in class SemiSupervisedBatchClassifierLearner

getSchema

public ExampleSchema getSchema()

Description copied from interface: ClassifierLearner

Returns the ExampleSchema - constraints on what the Examples will be.

copy

public ClassifierLearner copy()

Description copied from interface: ClassifierLearner

Make a copy of the learner. Note: This will reset the learner, erasing previous data!

batchTrain

public Classifier batchTrain(SemiSupervisedDataset dataset)

Description copied from class: SemiSupervisedBatchClassifierLearner

subclasses should use this method to implement a batch supervised learning algorithm.

Specified by:

batchTrain in class SemiSupervisedBatchClassifierLearner

main

public static void main(java.lang.String[] args)