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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
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