Package weka.classifiers.bayes

Class NaiveBayesMultinomialUpdateable

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Cloneable, UpdateableClassifier, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler, WeightedInstancesHandler
    public class NaiveBayesMultinomialUpdateable
extends NaiveBayesMultinomial
implements UpdateableClassifier
    Class for building and using a multinomial Naive Bayes classifier. For more information see,

    Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.

    The core equation for this classifier:

    P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule)

    where Ci is class i and D is a document.

    Incremental version of the algorithm.

    BibTeX: 

     @inproceedings{Mccallum1998,
    author = {Andrew Mccallum and Kamal Nigam},
    booktitle = {AAAI-98 Workshop on 'Learning for Text Categorization'},
    title = {A Comparison of Event Models for Naive Bayes Text Classification},
    year = {1998}
 }

    Valid options are: 

     -D
  If set, classifier is run in debug mode and
  may output additional info to the console
    Version:
    $Revision: 1.3 $
    Author:
    Andrew Golightly (acg4@cs.waikato.ac.nz), Bernhard Pfahringer (bernhard@cs.waikato.ac.nz), Jiang Su
    See Also:
    Serialized Form

    • Constructor Detail

      • NaiveBayesMultinomialUpdateable

        public NaiveBayesMultinomialUpdateable()

    • Method Detail

      • globalInfo

        public java.lang.String globalInfo()
        Returns a string describing this classifier
        Overrides:
        globalInfo in class NaiveBayesMultinomial
        Returns:
        a description of the classifier suitable for displaying in the explorer/experimenter gui

      • buildClassifier

        public void buildClassifier​(Instances instances)
                     throws java.lang.Exception
        Generates the classifier.
        Overrides:
        buildClassifier in class NaiveBayesMultinomial
        Parameters:
        instances - set of instances serving as training data
        Throws:
        java.lang.Exception - if the classifier has not been generated successfully

      • updateClassifier

        public void updateClassifier​(Instance instance)
                      throws java.lang.Exception
        Updates the classifier with the given instance.
        Specified by:
        updateClassifier in interface UpdateableClassifier
        Parameters:
        instance - the new training instance to include in the model
        Throws:
        java.lang.Exception - if the instance could not be incorporated in the model.

      • distributionForInstance

        public double[] distributionForInstance​(Instance instance)
                                 throws java.lang.Exception
        Calculates the class membership probabilities for the given test instance.
        Overrides:
        distributionForInstance in class NaiveBayesMultinomial
        Parameters:
        instance - the instance to be classified
        Returns:
        predicted class probability distribution
        Throws:
        java.lang.Exception - if there is a problem generating the prediction

      • toString

        public java.lang.String toString()
        Returns a string representation of the classifier.
        Overrides:
        toString in class NaiveBayesMultinomial
        Returns:
        a string representation of the classifier

      • main

        public static void main​(java.lang.String[] args)
        Main method for testing this class.
        Parameters:
        args - the options