Evaluator (Apache OpenNLP Tools 2.0.0 API)

java.lang.Object
- opennlp.tools.util.eval.Evaluator<T>

Direct Known Subclasses:

ChunkerEvaluator, DetokenizerEvaluator, DocumentCategorizerEvaluator, LanguageDetectorEvaluator, LemmatizerEvaluator, ParserEvaluator, POSEvaluator, SentenceDetectorEvaluator, TokenizerEvaluator, TokenNameFinderEvaluator
```
public abstract class Evaluator<T>
extends Object
```
The Evaluator is an abstract base class for evaluators. Evaluation results are the arithmetic mean of the scores calculated for each reference sample.

Constructor Summary

Constructors
Constructor Description

Evaluator(EvaluationMonitor<T>... aListeners)

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`evaluate(ObjectStream<T> samples)`	Reads all sample objects from the stream and evaluates each sample object with `evaluateSample(Object)` method.
`void`	`evaluateSample(T sample)`	Evaluates the given reference object.

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

- Constructor Detail
  - Evaluator
```
@SafeVarargs
public Evaluator(EvaluationMonitor<T>... aListeners)
```
- Method Detail
  - evaluateSample
```
public void evaluateSample(T sample)
```
    Evaluates the given reference object. The default implementation calls processSample(Object)
    note: this method will be changed to private in the future. Implementations should override processSample(Object) instead. If this method is override, the implementation has to update the score after every invocation.
    
    Parameters:
    
    sample - the sample to be evaluated
  - evaluate
```
public void evaluate(ObjectStream<T> samples)
              throws IOException
```
    Reads all sample objects from the stream and evaluates each sample object with evaluateSample(Object) method.
    
    Parameters:
    
    samples - the stream of reference which should be evaluated.
    
    Throws:
    
    IOException - IOException