jbnc.inducers
Class NaiveBayesInducer

java.lang.Object
  jbnc.inducers.BayesianInducer
      jbnc.inducers.NaiveBayesInducer

public class NaiveBayesInducer

extends BayesianInducer

Constructs discrete naive-Bayes classifier.

Duda R, Hart P, Pattern Recognition and Scene Analysis , John Wiley & Sons, 1973.

Since:

June 1, 1999

Author:

Jarek Sacha

Nested Class Summary

Nested classes inherited from class jbnc.inducers.BayesianInducer

BayesianInducer.NetLayout

Field Summary

Fields inherited from class jbnc.inducers.BayesianInducer

debugMode, DEFAULT_APLHA_IJK, layout, net, qualityMeasure

Constructor Summary

NaiveBayesInducer()

Method Summary

static void	main(java.lang.String[] arg) Used for testing of the naive-Bayes algorithm.
void	train(FrequencyCalc fc, boolean usePriors, double alpha_ijk) Construct a naive-Bayes network from the training data.

Methods inherited from class jbnc.inducers.BayesianInducer

clean, getDebugMode, getNetwork, getQualityMeasure, reset, setDebugMode, setQualityMeasure, train, verifyDataset

Methods inherited from class java.lang.Object

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

Constructor Detail

NaiveBayesInducer

public NaiveBayesInducer()

Method Detail

main

public static void main(java.lang.String[] arg)

Used for testing of the naive-Bayes algorithm.

Parameters:

arg - The command line arguments

train

public void train(FrequencyCalc fc,
                  boolean usePriors,
                  double alpha_ijk)
           throws java.lang.Exception

Construct a naive-Bayes network from the training data.

Specified by:

train in class BayesianInducer

Parameters:

fc - Description of Parameter

usePriors - Description of Parameter

alpha_ijk - Description of Parameter

Throws:

java.lang.Exception - Description of Exception