Package de.learnlib.algorithm

Interface PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends FiniteStateAcceptor<?,I>,I>

Type Parameters:

M - model type

I - input symbol type

All Superinterfaces:

PassiveLearningAlgorithm<M,I,Boolean>

All Known Subinterfaces:

PassiveLearningAlgorithm.PassiveDFALearner<I>

Enclosing interface:

PassiveLearningAlgorithm<M,I,D>

public static interface PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends FiniteStateAcceptor<?,I>,I>
extends PassiveLearningAlgorithm<M,I,Boolean>

Basic interface for passive learning algorithms that infer finite-state acceptors (DFAs or NFAs).

Nested Class Summary

Nested classes/interfaces inherited from interface de.learnlib.algorithm.PassiveLearningAlgorithm

PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends FiniteStateAcceptor<?,I>,I>, PassiveLearningAlgorithm.PassiveDFALearner<I>, PassiveLearningAlgorithm.PassiveMealyLearner<I,O>, PassiveLearningAlgorithm.PassiveMooreLearner<I,O>

Method Summary

Modifier and Type	Method	Description
default void	addNegativeSample(Word<I> word)
default void	addNegativeSamples(Collection<? extends Word<I>> words)
default void	addNegativeSamples(Word<I>... words)
default void	addPositiveSample(Word<I> word)
default void	addPositiveSamples(Collection<? extends Word<I>> words)
default void	addPositiveSamples(Word<I>... words)

Methods inherited from interface de.learnlib.algorithm.PassiveLearningAlgorithm

addSample, addSample, addSamples, addSamples, addSamples, addSamples, computeModel

Method Detail

addPositiveSample

default void addPositiveSample(Word<I> word)

addPositiveSamples

default void addPositiveSamples(Collection<? extends Word<I>> words)

addPositiveSamples

default void addPositiveSamples(Word<I>... words)

addNegativeSample

default void addNegativeSample(Word<I> word)

addNegativeSamples

default void addNegativeSamples(Collection<? extends Word<I>> words)

addNegativeSamples

default void addNegativeSamples(Word<I>... words)