BlueFringeRPNIMoore (LearnLib 0.17.0 API)

java.lang.Object
- de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI<I,Word<O>,O,Void,MooreMachine<?,I,?,O>>
- - de.learnlib.algorithm.rpni.BlueFringeRPNIMoore<I,O>

Type Parameters:

I - input symbol type

O - output symbol type

All Implemented Interfaces:

PassiveLearningAlgorithm<MooreMachine<?,I,?,O>,I,Word<O>>, PassiveLearningAlgorithm.PassiveMooreLearner<I,O>
```
public class BlueFringeRPNIMoore<I,O>
extends AbstractBlueFringeRPNI<I,Word<O>,O,Void,MooreMachine<?,I,?,O>>
implements PassiveLearningAlgorithm.PassiveMooreLearner<I,O>
```
Blue-fringe version of RPNI for inferring Moore machines.
Implementation note: This implementation does not support repeated calls to PassiveLearningAlgorithm.computeModel().

Nested Class Summary
- 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>

Field Summary
- Fields inherited from class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI
  alphabet, alphabetSize

Constructor Summary

Constructors
Constructor Description

BlueFringeRPNIMoore(Alphabet<I> alphabet)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`addSamples(Collection<? extends DefaultQuery<I,Word<O>>> samples)`
`protected BlueFringePTA<O,Void>`	`fetchPTA()`	Fetches the initial `PTA` for model construction.
`protected MooreMachine<?,I,?,O>`	`ptaToModel(BlueFringePTA<O,Void> pta)`	Transforms the final PTA into a model.

Methods inherited from class de.learnlib.algorithm.rpni.AbstractBlueFringeRPNI
computeModel, selectMerges, setDeterministic, setParallel, setProcessingOrder, tryMerge

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface de.learnlib.algorithm.PassiveLearningAlgorithm
addSample, addSample, addSamples, addSamples, addSamples, computeModel

- Constructor Detail
  - BlueFringeRPNIMoore
```
public BlueFringeRPNIMoore(Alphabet<I> alphabet)
```
- Method Detail
  - addSamples
```
public void addSamples(Collection<? extends DefaultQuery<I,Word<O>>> samples)
```
    Specified by:
    
    addSamples in interface PassiveLearningAlgorithm<MooreMachine<?,I,?,O>,I,Word<O>>
  - fetchPTA
```
protected BlueFringePTA<O,Void> fetchPTA()
```
    Description copied from class: AbstractBlueFringeRPNI
    
    Fetches the initial PTA for model construction. If subclasses need to cache the training data this may be a fresh instance. If subclasses directly insert training data to a local PTA, they should make sure that repeated invocations of this method are not possible.
    
    Specified by:
    
    fetchPTA in class AbstractBlueFringeRPNI<I,Word<O>,O,Void,MooreMachine<?,I,?,O>>
    
    Returns:
    
    the PTA for model construction.
  - ptaToModel
```
protected MooreMachine<?,I,?,O> ptaToModel(BlueFringePTA<O,Void> pta)
```
    Description copied from class: AbstractBlueFringeRPNI
    
    Transforms the final PTA into a model.
    
    Specified by:
    
    ptaToModel in class AbstractBlueFringeRPNI<I,Word<O>,O,Void,MooreMachine<?,I,?,O>>
    
    Parameters:
    
    pta - the final PTA
    
    Returns:
    
    a model built from the final PTA