B C D E F G H L M O P S T U W

S

seedTipText() - Method in class weka.classifiers.rules.FURIA
Returns the tip text for this property
setCheckErrorRate(boolean) - Method in class weka.classifiers.rules.FURIA
Sets whether to check for error rate is in stopping criterion
setConsequent(double) - Method in class weka.classifiers.rules.FURIA.RipperRule
Sets the internal representation of the class label to be predicted
setDebug(boolean) - Method in class weka.classifiers.rules.FURIA
Sets whether debug information is output to the console
setFolds(int) - Method in class weka.classifiers.rules.FURIA
Sets the number of folds to use
setMinNo(double) - Method in class weka.classifiers.rules.FURIA
Sets the minimum total weight of the instances in a rule
setOptimizations(int) - Method in class weka.classifiers.rules.FURIA
Sets the number of optimization runs
setOptions(String[]) - Method in class weka.classifiers.rules.FURIA
Parses a given list of options.
setSeed(long) - Method in class weka.classifiers.rules.FURIA
Sets the seed value to use in randomizing the data
setUseRuleStretching(boolean) - Method in class weka.classifiers.rules.FURIA
Sets whether pruning is performed
size() - Method in class weka.classifiers.rules.FURIA.RipperRule
the number of antecedents of the rule
splitData(Instances, double, double) - Method in class weka.classifiers.rules.FURIA.NumericAntd
Implements the splitData function.
splitPoint - Variable in class weka.classifiers.rules.FURIA.NumericAntd
The split point for this numeric antecedent
supportBound - Variable in class weka.classifiers.rules.FURIA.NumericAntd
The edge point for the fuzzy set of this numeric antecedent

B C D E F G H L M O P S T U W