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java.lang.Objectjbnc.measures.QualityMeasure
jbnc.measures.QualityMeasureSB
Measure the quality of the bayesian network on the dataset using asymptotic estimate of the standard bayes measure.
q = sumi =1...n sum j =0...ri sumk =1...si Nijk log Nijk / N ij - 1/2 Dim (B ) log N
where Nijk means that variable Xi is in configuration j and parents of variable Xi are in configuration k , Dim (B ) is the dimension of the network, N is the number of cases in the training data set.
E. Castillo, J. M. Gutierrez and A. S. Hadi, Expert Systems and Probabilistic Network Models , Springer, 1997. p.494, eq.(11.28).
| Field Summary |
| Fields inherited from class jbnc.measures.QualityMeasure |
alphaK, dataset, usePriors |
| Constructor Summary | |
QualityMeasureSB()
Constructor for the QualityMeasureSB object |
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QualityMeasureSB(DatasetInt dataset)
Constructor for the QualityMeasureSB object |
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| Method Summary | |
double |
evaluate(BayesianNetworks.BayesNet net)
Description of the Method |
java.lang.String |
getName()
Gets the Name attribute of the QualityMeasureSB 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 |
public QualityMeasureSB()
public QualityMeasureSB(DatasetInt dataset)
dataset - Description of Parameter| Method Detail |
public java.lang.String getName()
getName in class QualityMeasure
public final double evaluate(BayesianNetworks.BayesNet net)
throws java.lang.Exception
evaluate in class QualityMeasurenet - Description of Parameter
java.lang.Exception - Description of Exception
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