BCubedEvaluator (Mallet 2 API)

java.lang.Object
- cc.mallet.cluster.evaluate.ClusteringEvaluator
- - cc.mallet.cluster.evaluate.BCubedEvaluator

```
public class BCubedEvaluator
extends ClusteringEvaluator
```
Evaluate a Clustering using the B-Cubed evaluation metric. See Bagga & Baldwin, "Algorithms for scoring coreference chains." Unlike other metrics, this evaluation awards points to correct singleton clusters.

Since:

1.0

Version:

1.0

Author:

"Aron Culotta"

See Also:

ClusteringEvaluator

Constructor Summary

Constructors
Constructor Description

BCubedEvaluator()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`java.lang.String`	`evaluate(Clustering truth, Clustering predicted)`
`java.lang.String`	`evaluateTotals()`
`double[]`	`getEvaluationScores(Clustering truth, Clustering predicted)`

Methods inherited from class cc.mallet.cluster.evaluate.ClusteringEvaluator
evaluate, evaluate

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

- Constructor Detail
  - BCubedEvaluator
```
public BCubedEvaluator()
```
- Method Detail
  - evaluate
```
public java.lang.String evaluate(Clustering truth,
                                 Clustering predicted)
```
    Specified by:
    
    evaluate in class ClusteringEvaluator
    
    Returns:
    
    A String summarizing the evaluation metric.
  - evaluateTotals
```
public java.lang.String evaluateTotals()
```
    Specified by:
    
    evaluateTotals in class ClusteringEvaluator
    
    Returns:
    
    If the ClusteringEvaluator maintains state between calls to evaluate, this method will return the total evaluation metric since the first evaluation.
  - getEvaluationScores
```
public double[] getEvaluationScores(Clustering truth,
                                    Clustering predicted)
```
    Specified by:
    
    getEvaluationScores in class ClusteringEvaluator