PassiveLearningAlgorithm (LearnLib :: Distribution 0.13.0 API)

Nested Classes
Modifier and Type	Interface and Description
`static interface`	`PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends net.automatalib.automata.fsa.FiniteStateAcceptor<?,I>,I>` Basic interface for passive learning algorithms that infer finite-state acceptors (`DFA`s or `NFA`s).
`static interface`	`PassiveLearningAlgorithm.PassiveDFALearner<I>` Basic interface for passive learning algorithms that infer `DFA`s.
`static interface`	`PassiveLearningAlgorithm.PassiveMealyLearner<I,O>` Basic interface for passive learning algorithms that infer `Mealy machines`.
`static interface`	`PassiveLearningAlgorithm.PassiveNFALearner<I>` Basic interface for passive learning algorithms that infer `NFA`s.

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method and Description
`default void`	`addSample(DefaultQuery<I,D> sample)`
`default void`	`addSample(net.automatalib.words.Word<I> input, D output)`
`void`	`addSamples(Collection<? extends DefaultQuery<I,D>> samples)`
`default void`	`addSamples(D output, Collection<? extends net.automatalib.words.Word<I>> words)`
`default void`	`addSamples(DefaultQuery<I,D>... samples)`
`default void`	`addSamples(D output, net.automatalib.words.Word<I>... words)`
`M`	`computeModel()`

void addSamples(Collection<? extends DefaultQuery<I,D>> samples)

default void addSamples(DefaultQuery<I,D>... samples)

default void addSamples(D output,
                        net.automatalib.words.Word<I>... words)

default void addSamples(D output,
                        Collection<? extends net.automatalib.words.Word<I>> words)

default void addSample(net.automatalib.words.Word<I> input,
                       D output)

default void addSample(DefaultQuery<I,D> sample)

Interface PassiveLearningAlgorithm<M,I,D>