edu.cmu.minorthird.ui
Class Recommended.NaiveBayes

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

All Implemented Interfaces:

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

Enclosing class:

Recommended

public static class Recommended.NaiveBayes
extends NaiveBayes

Multinomial Naive Bayes, as in McCallum's Rainbow package.

This is one of the fastest learners, but because of the strong independence assumptions, it often has a higher-than-necessary error rate.

References: Andrew McCallum and Kamal Nigam, A comparison of event models for naive bayes text classification, AAAI-98 Workshop on Learning for Text Categorization; Kamal Nigam et al, Text classification from labeled and unlabeled documents using EM, Machine Learning, 39(2/3), 2000.

See Also:

Serialized Form

Constructor Summary

Recommended.NaiveBayes()

Method Summary

Methods inherited from class edu.cmu.minorthird.classify.algorithms.linear.NaiveBayes

addExample, getClassifier, reset, 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

Recommended.NaiveBayes

public Recommended.NaiveBayes()