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getCapabilities()
- Method in class weka.classifiers.rules.
FURIA
Returns default capabilities of the classifier.
getCheckErrorRate()
- Method in class weka.classifiers.rules.
FURIA
Gets whether to check for error rate is in stopping criterion
getConfidence()
- Method in class weka.classifiers.rules.
FURIA.RipperRule
getConsequent()
- Method in class weka.classifiers.rules.
FURIA.RipperRule
Gets the internal representation of the class label to be predicted
getDebug()
- Method in class weka.classifiers.rules.
FURIA
Gets whether debug information is output to the console
getFolds()
- Method in class weka.classifiers.rules.
FURIA
Gets the number of folds
getMeasure(String)
- Method in class weka.classifiers.rules.
FURIA
Returns the value of the named measure
getMinNo()
- Method in class weka.classifiers.rules.
FURIA
Gets the minimum total weight of the instances in a rule
getOptimizations()
- Method in class weka.classifiers.rules.
FURIA
Gets the the number of optimization runs
getOptions()
- Method in class weka.classifiers.rules.
FURIA
Gets the current settings of the Classifier.
getRevision()
- Method in class weka.classifiers.rules.
FURIA
getRevision()
- Method in class weka.classifiers.rules.
FURIA.RipperRule
getRuleset()
- Method in class weka.classifiers.rules.
FURIA
Get the ruleset generated by Ripper
getRuleStats(int)
- Method in class weka.classifiers.rules.
FURIA
Get the statistics of the ruleset in the given position
getSeed()
- Method in class weka.classifiers.rules.
FURIA
Gets the current seed value to use in randomizing the data
getSplitPoint()
- Method in class weka.classifiers.rules.
FURIA.NumericAntd
Get split point of this numeric antecedent
getTechnicalInformation()
- Method in class weka.classifiers.rules.
FURIA
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.
getUseRuleStretching()
- Method in class weka.classifiers.rules.
FURIA
Gets whether pruning is performed
globalInfo()
- Method in class weka.classifiers.rules.
FURIA
Returns a string describing classifier
grow(Instances)
- Method in class weka.classifiers.rules.
FURIA.RipperRule
Build one rule using the growing data
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