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getConditionalClassDistribution(int, int, Instances) - Method in class weka.attributeSelection.IWSSembeddedNB
Gets the conditional distribution of an attribute for the given fold
getMinFolds() - Method in class weka.attributeSelection.IWSSembeddedNB
 
getOptions() - Method in class weka.attributeSelection.IWSSembeddedNB
get a String[] describing the value set for all options
getPrecision(int, int, Instances) - Method in class weka.attributeSelection.IWSSembeddedNB
Gets precision for a numerical variable.
getProbabilityFromNormalDistribution(double, double, double, double) - Method in class weka.attributeSelection.IWSSembeddedNB
Get a probability estimate for a value given a normal distribution
getRanking(Instances) - Method in class weka.attributeSelection.IWSSembeddedNB
Ranks attributes based on Simmetrical Uncertainty conditioned on class attribute.
getReplace() - Method in class weka.attributeSelection.IWSSembeddedNB
 
getRevision() - Method in class weka.attributeSelection.IWSSembeddedNB
Returns the revision string.
getSelected() - Method in class weka.attributeSelection.IWSSembeddedNB
 
getStartSet() - Method in class weka.attributeSelection.IWSSembeddedNB
 
getTechnicalInformation() - Method in class weka.attributeSelection.IWSSembeddedNB
Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
getTheta() - Method in class weka.attributeSelection.IWSSembeddedNB
 
globalInfo() - Method in class weka.attributeSelection.IWSSembeddedNB
Returns a string describing this classifier
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