jbnc.inducers
Class STANInducer

java.lang.Object
  jbnc.inducers.BayesianInducer
      jbnc.inducers.DiscardingBayesianInducer
          jbnc.inducers.STANInducer

public class STANInducer

extends DiscardingBayesianInducer

Constructs Selective TAN classifier (STAN).

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.DiscardingBayesianInducer

discardNonDependent

Fields inherited from class jbnc.inducers.BayesianInducer

debugMode, DEFAULT_APLHA_IJK, layout, net, qualityMeasure

Constructor Summary

STANInducer()

Method Summary

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

Methods inherited from class jbnc.inducers.DiscardingBayesianInducer

getDiscardNonDependent, setDiscardNonDependent

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

STANInducer

public STANInducer()

Method Detail

main

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

Used for testing of the STAN algorithm.

Parameters:

arg - The command line arguments

train

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

Construct STAN 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