Package weka.classifiers.bayes

Class NaiveBayesUpdateable

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.Cloneable, UpdateableClassifier, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler, WeightedInstancesHandler
    public class NaiveBayesUpdateable
extends NaiveBayes
implements UpdateableClassifier
    Class for a Naive Bayes classifier using estimator classes. This is the updateable version of NaiveBayes.
    This classifier will use a default precision of 0.1 for numeric attributes when buildClassifier is called with zero training instances.

    For more information on Naive Bayes classifiers, see

    George H. John, Pat Langley: Estimating Continuous Distributions in Bayesian Classifiers. In: Eleventh Conference on Uncertainty in Artificial Intelligence, San Mateo, 338-345, 1995.

    BibTeX: 

     @inproceedings{John1995,
    address = {San Mateo},
    author = {George H. John and Pat Langley},
    booktitle = {Eleventh Conference on Uncertainty in Artificial Intelligence},
    pages = {338-345},
    publisher = {Morgan Kaufmann},
    title = {Estimating Continuous Distributions in Bayesian Classifiers},
    year = {1995}
 }

    Valid options are: 

     -K
  Use kernel density estimator rather than normal
  distribution for numeric attributes
     -D
  Use supervised discretization to process numeric attributes
 
     -O
  Display model in old format (good when there are many classes)
    Version:
    $Revision: 1.11 $
    Author:
    Len Trigg (trigg@cs.waikato.ac.nz), Eibe Frank (eibe@cs.waikato.ac.nz)
    See Also:
    Serialized Form

    • Constructor Detail

      • NaiveBayesUpdateable

        public NaiveBayesUpdateable()

    • Method Detail

      • globalInfo

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

      • setUseSupervisedDiscretization

        public void setUseSupervisedDiscretization​(boolean newblah)
        Set whether supervised discretization is to be used.
        Overrides:
        setUseSupervisedDiscretization in class NaiveBayes
        Parameters:
        newblah - true if supervised discretization is to be used.

      • main

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