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

G

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

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