Package de.learnlib.algorithm
Interface PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends FiniteStateAcceptor<?,I>,I>
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- Type Parameters:
M
- model typeI
- input symbol type
- All Superinterfaces:
PassiveLearningAlgorithm<M,I,Boolean>
- All Known Subinterfaces:
PassiveLearningAlgorithm.PassiveDFALearner<I>
- All Known Implementing Classes:
BlueFringeEDSMDFA
,BlueFringeMDLDFA
,BlueFringeRPNIDFA
- Enclosing interface:
- PassiveLearningAlgorithm<M,I,D>
public static interface PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends FiniteStateAcceptor<?,I>,I> extends PassiveLearningAlgorithm<M,I,Boolean>
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Nested Class Summary
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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>
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Method Summary
All Methods Instance Methods Default Methods 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)
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Methods inherited from interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSample, addSample, addSamples, addSamples, addSamples, addSamples, computeModel
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Method Detail
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addPositiveSamples
default void addPositiveSamples(Collection<? extends Word<I>> words)
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addNegativeSamples
default void addNegativeSamples(Collection<? extends Word<I>> words)
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