edu.cmu.minorthird.classify.algorithms.linear
Class NaiveBayes

java.lang.Object
  edu.cmu.minorthird.classify.OnlineClassifierLearner
      edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner
          edu.cmu.minorthird.classify.algorithms.linear.NaiveBayes

All Implemented Interfaces:

BinaryClassifierLearner, ClassifierLearner, java.io.Serializable, java.lang.Cloneable

Direct Known Subclasses:

Recommended.NaiveBayes

public class NaiveBayes
extends OnlineBinaryClassifierLearner
implements java.io.Serializable

Naive Bayes algorithm. If feature weights are word counts then this implements the usual multinomial naive Bayes. If feature weights are presence/absence this implements binomial naive Bayes.

Author:

William Cohen

See Also:

Serialized Form

Constructor Summary

NaiveBayes()

Method Summary

void	addExample(Example example) Subclasses should use this method to perform whatever incremental update is needed after in response to a new example.
Classifier	getClassifier() Subclasses should use this method to return the current classifier.
void	reset() 'forget' everything about the last learning task, and start a new task.
java.lang.String	toString()

Methods inherited from class edu.cmu.minorthird.classify.OnlineBinaryClassifierLearner

getBinaryClassifier, getSchema, setSchema

Methods inherited from class edu.cmu.minorthird.classify.OnlineClassifierLearner

completeTraining, copy, hasNextQuery, nextQuery, setInstancePool

Methods inherited from class java.lang.Object

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

Methods inherited from interface edu.cmu.minorthird.classify.ClassifierLearner

completeTraining, copy, hasNextQuery, nextQuery, setInstancePool

Constructor Detail

NaiveBayes

public NaiveBayes()

Method Detail

reset

public void reset()

Description copied from class: OnlineClassifierLearner

'forget' everything about the last learning task, and start a new task. Subclasses need to implement this method

Specified by:

reset in interface ClassifierLearner

Specified by:

reset in class OnlineClassifierLearner

addExample

public void addExample(Example example)

Description copied from class: OnlineClassifierLearner

Subclasses should use this method to perform whatever incremental update is needed after in response to a new example.

Specified by:

addExample in interface ClassifierLearner

Specified by:

addExample in class OnlineClassifierLearner

getClassifier

public Classifier getClassifier()

Description copied from class: OnlineClassifierLearner

Subclasses should use this method to return the current classifier.

Specified by:

getClassifier in interface ClassifierLearner

Specified by:

getClassifier in class OnlineClassifierLearner

toString

public java.lang.String toString()

Overrides:

toString in class java.lang.Object