Uses of Class
org.tweetyproject.arg.dung.semantics.Labeling
Package
Description
-
Uses of Labeling in org.tweetyproject.arg.dung.learning
Modifier and TypeMethodDescriptionTheoryLearner.learnExamples(Map<Labeling,Integer> positiveExamples, Map<Labeling,Integer> negativeExamples)
learns an argumentation framework fulfilling as many positive examples as possible while trying to not fulfill any negative examplesImprovedRiveretTheoryLearner.learnLabelings(ArrayList<Labeling> labelings)
learn theory without pruning discarded attacksImprovedRiveretTheoryLearner.learnLabelings(ArrayList<Labeling> labelings, boolean prune, int threshold)
learn random labelings from the given List until no undecided attacks are left in the theoryRiveretTheoryLearner.learnLabelings(ArrayList<Labeling> labelings)
learn theory without pruning discarded attacksRiveretTheoryLearner.learnLabelings(ArrayList<Labeling> labelings, boolean prune, int threshold)
learn random labelings from the given List until no undecided attacks are left in the theory -
Uses of Labeling in org.tweetyproject.arg.dung.parser
Modifier and TypeMethodDescriptionstatic Labeling
AbstractDungParser.parseLabeling(String s)
Returns a labeling parsed from the given stringModifier and TypeMethodDescriptionstatic Collection<Labeling>
AbstractDungParser.parseLabelingList(String s)
Returns a collection view of the given set of labelings -
Uses of Labeling in org.tweetyproject.arg.dung.writer
Modifier and TypeMethodDescriptionstatic String
AbstractDungWriter.writeLabeling(Labeling l)
Writes a labeling in the form [[IN1,...,INM],[OUT1,...,OUTN],[UNDEC1,...,UNDECM]] -
Uses of Labeling in org.tweetyproject.arg.prob.semantics
Modifier and TypeMethodDescriptionProbabilisticExtension.getEpistemicLabeling()
Returns the epistemic labeling of this probabilistic extension, i.e.Modifier and TypeMethodDescriptionboolean
ProbabilisticExtension.isCongruent(Labeling l)
Checks whether the given labeling is congruent to this probabilistic extension, i.e.