OSTIA (LearnLib 0.17.0 API)

java.lang.Object
- de.learnlib.algorithm.ostia.OSTIA<I,O>

Type Parameters:

I - input symbol type

O - output symbol type

All Implemented Interfaces:

PassiveLearningAlgorithm<SubsequentialTransducer<?,I,?,O>,I,Word<O>>
```
public class OSTIA<I,O>
extends Object
implements PassiveLearningAlgorithm<SubsequentialTransducer<?,I,?,O>,I,Word<O>>
```
The OSTIA learning algorithm.

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>

Constructor Summary

Constructors
Constructor Description

OSTIA(Alphabet<I> inputAlphabet)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`addSamples(Collection<? extends DefaultQuery<I,Word<O>>> samples)`
`static State`	`buildPtt(int alphabetSize, Iterator<Pair<IntSeq,IntSeq>> informant)`
`SubsequentialTransducer<?,I,?,O>`	`computeModel()`	Computes the model given the previously added samples.
`static void`	`ostia(State transducer)`
`static @Nullable IntSeq`	`run(State init, IntSeq input)`

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

- Constructor Detail
  - OSTIA
```
public OSTIA(Alphabet<I> inputAlphabet)
```
- Method Detail
  - addSamples
```
public void addSamples(Collection<? extends DefaultQuery<I,Word<O>>> samples)
```
    Specified by:
    
    addSamples in interface PassiveLearningAlgorithm<SubsequentialTransducer<?,I,?,O>,I,Word<O>>
  - computeModel
```
public SubsequentialTransducer<?,I,?,O> computeModel()
```
    Description copied from interface: PassiveLearningAlgorithm
    
    Computes the model given the previously added samples.
    Implementation note: It is up to the implementation if this operation is repeatable or not, An implementation may throw an IllegalStateException if additional samples are added after the first model construction.
    
    Specified by:
    
    computeModel in interface PassiveLearningAlgorithm<SubsequentialTransducer<?,I,?,O>,I,Word<O>>
    
    Returns:
    
    the computed model
  - buildPtt
```
public static State buildPtt(int alphabetSize,
                             Iterator<Pair<IntSeq,IntSeq>> informant)
```
  - ostia
```
public static void ostia(State transducer)
```
  - run
```
public static @Nullable IntSeq run(State init,
                                   IntSeq input)
```