jbnc.measures
Class QualityMeasureHGC

java.lang.Object
  jbnc.measures.QualityMeasure
      jbnc.measures.QualityMeasureHGC

public class QualityMeasureHGC

extends QualityMeasure

Return value of the Heckerman-Geiger-Chickering measure for a Bayesian network structure (also called Baysian Dirihlet metric).

D. Heckerman, D. Geiger and D. M. Chickering, "Learning Bayesian Networks: The Combination of Knowledge and Statistical Data", Machine Learning , vol.20, pp.197-243, 1995. eq.(28).

Since:

June 1, 1999

Author:

Jarek Sacha

Field Summary

Fields inherited from class jbnc.measures.QualityMeasure

alphaK, dataset, usePriors

Constructor Summary

QualityMeasureHGC()
Constructor for the QualityMeasureHGC object

QualityMeasureHGC(DatasetInt dataset)
Constructor for the QualityMeasureHGC object

Method Summary

double	evaluate(BayesianNetworks.BayesNet net) Description of the Method
java.lang.String	getName() Gets the Name attribute of the QualityMeasureHGC object

Methods inherited from class jbnc.measures.QualityMeasure

getAlphaK, getUsePriors, setAlphaK, setDataset, setUsePriors

Methods inherited from class java.lang.Object

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

Constructor Detail

QualityMeasureHGC

public QualityMeasureHGC()

Constructor for the QualityMeasureHGC object

QualityMeasureHGC

public QualityMeasureHGC(DatasetInt dataset)

Constructor for the QualityMeasureHGC object

Parameters:

dataset - Description of Parameter

Method Detail

getName

public java.lang.String getName()

Gets the Name attribute of the QualityMeasureHGC object

Specified by:

getName in class QualityMeasure

Returns:

The Name value

evaluate

public final double evaluate(BayesianNetworks.BayesNet net)
                      throws java.lang.Exception

Description of the Method

Specified by:

evaluate in class QualityMeasure

Parameters:

net - Description of Parameter

Returns:

Description of the Returned Value

Throws:

java.lang.Exception - Description of Exception