NeighborEvaluator (Mallet 2 API)

All Known Implementing Classes:

ClassifyingNeighborEvaluator, MedoidEvaluator, PairwiseEvaluator, RandomEvaluator, RankingNeighborEvaluator
```
public interface NeighborEvaluator
```
Scores the value of changing the current Clustering to the modified Clustering specified in a Neighbor object. A common implementation of this interface uses a Classifier to assign a score to a Neighbor.

Since:

1.0

Version:

1.0

Author:

"Aron Culotta"

Method Summary

All Methods Instance Methods Abstract Methods
Modifier and Type	Method	Description
`double`	`evaluate(Neighbor neighbor)`
`double[]`	`evaluate(Neighbor[] neighbors)`
`void`	`reset()`	Reset the state of the evaluator.

- Method Detail
  - evaluate
```
double evaluate(Neighbor neighbor)
```
    Parameters:
    
    neighbor -
    
    Returns:
    
    A higher score indicates that the modified Clustering is preferred.
  - evaluate
```
double[] evaluate(Neighbor[] neighbors)
```
    Parameters:
    
    neighbors -
    
    Returns:
    
    One score per neighbor. A higher score indicates that the modified Clustering is preferred.
  - reset
```
void reset()
```
    Reset the state of the evaluator.