Package de.learnlib.statistic

Interface StatisticLearner<M,I,D>

Type Parameters:

M - the automaton type

I - input symbol class

D - output symbol class

All Superinterfaces:

LearningAlgorithm<M,I,D>, StatisticCollector

All Known Subinterfaces:

StatisticLearner.DFAStatisticLearner<I>, StatisticLearner.MealyStatisticLearner<I,O>, StatisticLearner.MooreStatisticLearner<I,O>

All Known Implementing Classes:

DFARefinementCounterLearner, MealyRefinementCounterLearner, MooreRefinementCounterLearner, RefinementCounterLearner

public interface StatisticLearner<M,I,D>
extends LearningAlgorithm<M,I,D>, StatisticCollector

Common interface for learners keeping statistics.

Nested Class Summary

Nested Classes

Modifier and Type	Interface	Description
static interface	StatisticLearner.DFAStatisticLearner<I>
static interface	StatisticLearner.MealyStatisticLearner<I,O>
static interface	StatisticLearner.MooreStatisticLearner<I,O>

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

LearningAlgorithm.DFALearner<I>, LearningAlgorithm.MealyLearner<I,O>, LearningAlgorithm.MooreLearner<I,O>, LearningAlgorithm.NFALearner<I>

Method Summary

Methods inherited from interface de.learnlib.algorithm.LearningAlgorithm

getHypothesisModel, refineHypothesis, startLearning

Methods inherited from interface de.learnlib.statistic.StatisticCollector

getStatisticalData