Package opennlp.tools.postag

Class POSTaggerCrossValidator

java.lang.Object

opennlp.tools.postag.POSTaggerCrossValidator

public class POSTaggerCrossValidator
extends Object

Constructor Summary

Constructors

Constructor	Description
POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, File tagDictionary, byte[] featureGeneratorBytes, Map<String,Object> resources, Integer tagdicCutoff, String factoryClass, POSTaggerEvaluationMonitor... listeners)	Creates a POSTaggerCrossValidator that builds a ngram dictionary dynamically.
POSTaggerCrossValidator(String languageCode, TrainingParameters trainParam, POSTaggerFactory factory, POSTaggerEvaluationMonitor... listeners)	Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

Method Summary

Modifier and Type	Method	Description
void	evaluate(ObjectStream<POSSample> samples, int nFolds)	Starts the evaluation.
double	getWordAccuracy()	Retrieves the accuracy for all iterations.
long	getWordCount()	Retrieves the number of words which where validated over all iterations.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Details

POSTaggerCrossValidator

public POSTaggerCrossValidator(String languageCode,
 TrainingParameters trainParam,
 File tagDictionary,
 byte[] featureGeneratorBytes,
 Map<String,Object> resources,
 Integer tagdicCutoff,
 String factoryClass,
 POSTaggerEvaluationMonitor... listeners)

Creates a POSTaggerCrossValidator that builds a ngram dictionary dynamically. It instantiates a sub-class of POSTaggerFactory using the tag and the ngram dictionaries.

POSTaggerCrossValidator

public POSTaggerCrossValidator(String languageCode,
 TrainingParameters trainParam,
 POSTaggerFactory factory,
 POSTaggerEvaluationMonitor... listeners)

Creates a POSTaggerCrossValidator using the given POSTaggerFactory.

Method Details

evaluate

public void evaluate(ObjectStream<POSSample> samples,
 int nFolds)
              throws IOException

Starts the evaluation.

Parameters:

samples - the data to train and test

nFolds - number of folds

Throws:

IOException

getWordAccuracy

public double getWordAccuracy()

Retrieves the accuracy for all iterations.

Returns:

the word accuracy

getWordCount

public long getWordCount()

Retrieves the number of words which where validated over all iterations. The result is the amount of folds multiplied by the total number of words.

Returns:

the word count