Uses of Interface
de.learnlib.algorithm.PassiveLearningAlgorithm
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Packages that use PassiveLearningAlgorithm Package Description de.learnlib.algorithm This package contains the basic interfaces and classes of learning algorithms of LearnLib.de.learnlib.algorithm.ostia de.learnlib.algorithm.rpni de.learnlib.testsupport.it.learner -
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Uses of PassiveLearningAlgorithm in de.learnlib.algorithm
Subinterfaces of PassiveLearningAlgorithm in de.learnlib.algorithm Modifier and Type Interface Description static interface
PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends net.automatalib.automaton.fsa.FiniteStateAcceptor<?,I>,I>
Basic interface for passive learning algorithms that infer finite-state acceptors (DFA
s orNFA
s).static interface
PassiveLearningAlgorithm.PassiveDFALearner<I>
Basic interface for passive learning algorithms that inferDFA
s.static interface
PassiveLearningAlgorithm.PassiveMealyLearner<I,O>
Basic interface for passive learning algorithms that inferMealy machines
.static interface
PassiveLearningAlgorithm.PassiveMooreLearner<I,O>
Basic interface for passive learning algorithms that inferMoore machines
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Uses of PassiveLearningAlgorithm in de.learnlib.algorithm.ostia
Classes in de.learnlib.algorithm.ostia that implement PassiveLearningAlgorithm Modifier and Type Class Description class
OSTIA<I,O>
The OSTIA learning algorithm. -
Uses of PassiveLearningAlgorithm in de.learnlib.algorithm.rpni
Classes in de.learnlib.algorithm.rpni that implement PassiveLearningAlgorithm Modifier and Type Class Description class
AbstractBlueFringeRPNI<I,D,SP,TP,M>
Abstract base class for Blue-Fringe-RPNI algorithms.class
BlueFringeEDSMDFA<I>
A state-merging learning algorithm based on the evidence principle.class
BlueFringeMDLDFA<I>
A state-merging learning algorithm based on the minimal description length principle.class
BlueFringeRPNIDFA<I>
A Blue Fringe version of RPNI for learning DFAs.class
BlueFringeRPNIMealy<I,O>
Blue-fringe version of RPNI for inferring Mealy machines.class
BlueFringeRPNIMoore<I,O>
Blue-fringe version of RPNI for inferring Moore machines. -
Uses of PassiveLearningAlgorithm in de.learnlib.testsupport.it.learner
Methods in de.learnlib.testsupport.it.learner that return PassiveLearningAlgorithm Modifier and Type Method Description PassiveLearningAlgorithm<? extends M,I,D>
PassiveLearnerVariant. getLearner()
Methods in de.learnlib.testsupport.it.learner with parameters of type PassiveLearningAlgorithm Modifier and Type Method Description void
PassiveLearnerVariantList. addLearnerVariant(String name, PassiveLearningAlgorithm<? extends M,I,D> learner)
Adds a learner variant with the default maximum number of rounds (i.e., the size of the target automaton) to the list.void
PassiveLearnerVariantListImpl. addLearnerVariant(String name, PassiveLearningAlgorithm<? extends M,I,D> learner)
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