Module de.learnlib.api

Package de.learnlib.algorithm

Interface PassiveLearningAlgorithm.PassiveMooreLearner<I,O>

Type Parameters:

I - input symbol type

O - output symbol type

All Superinterfaces:

PassiveLearningAlgorithm<net.automatalib.automaton.transducer.MooreMachine<?,I,?,O>,I,net.automatalib.word.Word<O>>

All Known Implementing Classes:

BlueFringeRPNIMoore

Enclosing interface:

PassiveLearningAlgorithm<M,I,D>

public static interface PassiveLearningAlgorithm.PassiveMooreLearner<I,O>
extends PassiveLearningAlgorithm<net.automatalib.automaton.transducer.MooreMachine<?,I,?,O>,I,net.automatalib.word.Word<O>>

Basic interface for passive learning algorithms that infer Moore machines.

Nested Class Summary

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

PassiveLearningAlgorithm.PassiveAcceptorLearner<M extends net.automatalib.automaton.fsa.FiniteStateAcceptor<?,I>,I>, PassiveLearningAlgorithm.PassiveDFALearner<I>, PassiveLearningAlgorithm.PassiveMealyLearner<I,O>, PassiveLearningAlgorithm.PassiveMooreLearner<I,O>

Method Summary

Methods inherited from interface de.learnlib.algorithm.PassiveLearningAlgorithm

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