Uses of Interface
de.learnlib.algorithm.PassiveLearningAlgorithm

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

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 (DFAs or NFAs).
static interface	PassiveLearningAlgorithm.PassiveDFALearner<I>	Basic interface for passive learning algorithms that infer DFAs.
static interface	PassiveLearningAlgorithm.PassiveMealyLearner<I,O>	Basic interface for passive learning algorithms that infer Mealy machines.
static interface	PassiveLearningAlgorithm.PassiveMooreLearner<I,O>	Basic interface for passive learning algorithms that infer Moore machines.

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)