Package weka.classifiers.bayes

Class NaiveBayesMultinomialUpdateable

  • All Implemented Interfaces:
    Serializable, Cloneable, Classifier, UpdateableClassifier, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, OptionHandler, RevisionHandler, TechnicalInformationHandler, WeightedInstancesHandler
    public class NaiveBayesMultinomialUpdateable
extends NaiveBayesMultinomial
implements UpdateableClassifier
    Class for building and using an updateable 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.

    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:

    -output-debug-info
    If set, classifier is run in debug mode and may output additional info to the console.

    -do-not-check-capabilities
    If set, classifier capabilities are not checked before classifier is built (use with caution).

    -num-decimal-laces
    The number of decimal places for the output of numbers in the model.

    -batch-size
    The desired batch size for batch prediction.

    Version:
    $Revision$
    Author:
    Andrew Golightly (acg4@cs.waikato.ac.nz), Bernhard Pfahringer (bernhard@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • NaiveBayesMultinomialUpdateable

        public NaiveBayesMultinomialUpdateable()