Package de.learnlib.algorithm

This package (including sub-packages) contains the basic interfaces and classes of learning algorithms of LearnLib.

Interface Summary

Interface	Description
GlobalSuffixLearner<M,I,D>	Common interface for learning algorithms that use a global suffix set.
GlobalSuffixLearner.GlobalSuffixLearnerDFA<I>
GlobalSuffixLearner.GlobalSuffixLearnerMealy<I,O>
LearnerConstructor<L extends LearningAlgorithm<?,I,D>,I,D>	A simplified view on the constructor of a LearningAlgorithm, that only requires an Alphabet definition and a MembershipOracle.
LearningAlgorithm<M,I,D>	Basic interface for a model inference algorithm.
LearningAlgorithm.DFALearner<I>
LearningAlgorithm.MealyLearner<I,O>
LearningAlgorithm.MooreLearner<I,O>
LearningAlgorithm.NFALearner<I>
PassiveLearningAlgorithm<M,I,D>
PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends FiniteStateAcceptor<?,I>,I>	Basic interface for passive learning algorithms that infer finite-state acceptors (DFAs or NFAs).
PassiveLearningAlgorithm.PassiveDFALearner<I>	Basic interface for passive learning algorithms that infer DFAs.
PassiveLearningAlgorithm.PassiveMealyLearner<I,O>	Basic interface for passive learning algorithms that infer Mealy machines.
PassiveLearningAlgorithm.PassiveMooreLearner<I,O>	Basic interface for passive learning algorithms that infer Moore machines.