RiveretTheoryLearner

java.lang.Object
- net.sf.tweety.arg.dung.learning.RiveretTheoryLearner

```
public class RiveretTheoryLearner
extends java.lang.Object
```
Implementation of the algorithm for learning (grounded) labelings from: Riveret, Régis, and Guido Governatori. "On learning attacks in probabilistic abstract argumentation." 2016.

Author:

Lars Bengel

Constructor Summary

Constructors
Constructor Description

RiveretTheoryLearner(java.util.Collection<Argument> arguments)
initialize learner for the given set of arguments

Method Summary

Modifier and Type	Method	Description
`DungTheory`	`learnLabelings(java.util.ArrayList<Labeling> labelings)`	learn theory without pruning discarded attacks
`DungTheory`	`learnLabelings(java.util.ArrayList<Labeling> labelings, boolean prune)`	learn random labelings from the given List until no undecided attacks are left in the theory

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

- Constructor Detail
  - RiveretTheoryLearner
```
public RiveretTheoryLearner(java.util.Collection<Argument> arguments)
```
    initialize learner for the given set of arguments
    
    Parameters:
    
    arguments - a set of arguments
- Method Detail
  - learnLabelings
```
public DungTheory learnLabelings(java.util.ArrayList<Labeling> labelings,
                                 boolean prune)
```
    learn random labelings from the given List until no undecided attacks are left in the theory
    
    Parameters:
    
    labelings - a list of labelings
    
    prune - if true, remove discarded attacks after each step
    
    Returns:
    
    the learned dung theory
  - learnLabelings
```
public DungTheory learnLabelings(java.util.ArrayList<Labeling> labelings)
```
    learn theory without pruning discarded attacks
    
    Parameters:
    
    labelings - a list of labelings
    
    Returns:
    
    the learned dung theory