Uses of Class
org.tweetyproject.arg.dung.semantics.Labeling
Package
Description
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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.learning.syntax
Modifier and TypeClassDescriptionclass
Implementation of the input labeling (here called example) as an extension of normal labeling i.e. -
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.