Package | Description |
---|---|
de.learnlib.algorithms.rpni | |
de.learnlib.api.algorithm | |
de.learnlib.testsupport.it.learner |
Modifier and Type | Class and Description |
---|---|
class |
AbstractBlueFringeRPNI<I,D,SP,TP,M>
Abstract base class for Blue-Fringe-RPNI algorithms.
|
class |
BlueFringeEDSMDFA<I>
A state-merging learning algorithm based on the evidence principle.
|
class |
BlueFringeMDLDFA<I>
A state-merging learning algorithm based on the minimal description length principle.
|
class |
BlueFringeRPNIDFA<I>
A Blue Fringe version of RPNI for learning DFAs.
|
class |
BlueFringeRPNIMealy<I,O>
Blue-fringe version of RPNI for inferring Mealy machines.
|
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. |
Modifier and Type | Method and Description |
---|---|
PassiveLearningAlgorithm<? extends M,I,D> |
PassiveLearnerVariant.getLearner() |
Modifier and Type | Method and Description |
---|---|
void |
PassiveLearnerVariantListImpl.addLearnerVariant(String name,
PassiveLearningAlgorithm<? extends M,I,D> learner) |
void |
PassiveLearnerVariantList.addLearnerVariant(String name,
PassiveLearningAlgorithm<? extends M,I,D> learner)
Adds a learner variant with the default maximum number of rounds (i.e., the size of the target automaton) to the
list.
|
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