Module de.learnlib.testsupport.it

Package de.learnlib.testsupport.it.learner

Interface Summary

Interface	Description
LearnerVariantList<M,I,D>	A write-only list to store multiple variants of a learning algorithm.
LearnerVariantList.DFALearnerVariantList<I>
LearnerVariantList.MealyLearnerVariantList<I,O>
LearnerVariantList.MealySymLearnerVariantList<I,O>
LearnerVariantList.MooreLearnerVariantList<I,O>
LearnerVariantList.MooreSymLearnerVariantList<I,O>
LearnerVariantList.OneSEVPALearnerVariantList<I>
LearnerVariantList.SBALearnerVariantList<I>
LearnerVariantList.SPALearnerVariantList<I>
LearnerVariantList.SPMMLearnerVariantList<I,O>
PassiveLearnerVariantList<M,I,D>
PassiveLearnerVariantList.DFALearnerVariantList<I>
PassiveLearnerVariantList.MealyLearnerVariantList<I,O>
PassiveLearnerVariantList.MooreLearnerVariantList<I,O>
PassiveLearnerVariantList.SSTLearnerVariantList<I,O>

Class Summary

Class	Description
AbstractDFALearnerIT	Abstract integration test for DFA learning algorithms.
AbstractDFAPassiveLearnerIT	Abstract integration test for passive DFA learning algorithms.
AbstractMealyLearnerIT	Abstract integration test for Mealy machine learning algorithms.
AbstractMealyPassiveLearnerIT	Abstract integration test for passive Mealy machine learning algorithms.
AbstractMealySymLearnerIT	Abstract integration test for Mealy machine learning algorithms.
AbstractMooreLearnerIT	Abstract integration test for Moore machine learning algorithms.
AbstractMoorePassiveLearnerIT	Abstract integration test for passive Moore machine learning algorithms.
AbstractMooreSymLearnerIT	Abstract integration test for Moore machine learning algorithms.
AbstractOneSEVPALearnerIT	Abstract integration test for OneSEVPA learning algorithms.
AbstractSBALearnerIT	Abstract integration test for SBA learning algorithms.
AbstractSPALearnerIT	Abstract integration test for SPA learning algorithms.
AbstractSPMMLearnerIT	Abstract integration test for SPMM learning algorithms.
AbstractSSTPassiveLearnerIT	Abstract integration test for passive SubsequentialTransducers learning algorithms.
LearnerITUtil	Utility class for integration tests for a learning algorithm (or "learner").
LearnerVariant<M,I,D>
LearnerVariantListImpl<M,I,D>
LearnerVariantListImpl.DFALearnerVariantListImpl<I>
LearnerVariantListImpl.MealyLearnerVariantListImpl<I,O>
LearnerVariantListImpl.MealySymLearnerVariantListImpl<I,O>
LearnerVariantListImpl.MooreLearnerVariantListImpl<I,O>
LearnerVariantListImpl.MooreSymLearnerVariantListImpl<I,O>
LearnerVariantListImpl.OneSEVPALearnerVariantListImpl<I>
LearnerVariantListImpl.SBALearnerVariantListImpl<I>
LearnerVariantListImpl.SPALearnerVariantListImpl<I>
LearnerVariantListImpl.SPMMLearnerVariantListImpl<I,O>
OneSEVPALearnerITCase<I>
PassiveLearnerVariant<M,I,D>
PassiveLearnerVariantITCase<I,D,M extends net.automatalib.automaton.concept.SuffixOutput<I,D>>	Default test case for a passive learning integration test.
PassiveLearnerVariantListImpl<M,I,D>
PassiveLearnerVariantListImpl.DFAPassiveLearnerVariantListImpl<I>
PassiveLearnerVariantListImpl.MealyLearnerVariantListImpl<I,O>
PassiveLearnerVariantListImpl.MooreLearnerVariantListImpl<I,O>
PassiveLearnerVariantListImpl.SSTLearnerVariantListImpl<I,O>
SBALearnerITCase<I>
SPALearnerITCase<I>
SPMMLearnerITCase<I,O>
UniversalDeterministicLearnerITCase<I,D,M extends net.automatalib.automaton.UniversalDeterministicAutomaton<?,I,?,?,?> & net.automatalib.automaton.concept.Output<I,D>>