Package opennlp.tools.ml.naivebayes

Klasse NaiveBayesTrainer

java.lang.Object

opennlp.tools.ml.AbstractTrainer

opennlp.tools.ml.AbstractEventTrainer

opennlp.tools.ml.naivebayes.NaiveBayesTrainer

Alle implementierten Schnittstellen:

Trainer, EventTrainer

public class NaiveBayesTrainer
extends AbstractEventTrainer

Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in:

Text Classification from Labeled and Unlabeled Documents using EM Nigam, McCallum, et al. paper of 2000

Siehe auch:

• NaiveBayesModel
• AbstractEventTrainer

Feldübersicht

Felder

Modifizierer und Typ	Feld	Beschreibung
static final String	NAIVE_BAYES_VALUE

Von Klasse geerbte Felder opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_ONE_PASS_REAL_VALUE, DATA_INDEXER_ONE_PASS_VALUE, DATA_INDEXER_PARAM, DATA_INDEXER_TWO_PASS_VALUE

Von Schnittstelle geerbte Felder opennlp.tools.ml.EventTrainer

EVENT_VALUE

Konstruktorübersicht

Konstruktoren

Konstruktor	Beschreibung
NaiveBayesTrainer()	Instantiates a NaiveBayesTrainer with default training parameters.
NaiveBayesTrainer(TrainingParameters parameters)	Instantiates a NaiveBayesTrainer with specific TrainingParameters.

Methodenübersicht

Modifizierer und Typ	Methode	Beschreibung
AbstractModel	doTrain(DataIndexer indexer)
boolean	isSortAndMerge()
AbstractModel	trainModel(DataIndexer di)	Trains a NaiveBayesModel with given parameters.

Von Klasse geerbte Methoden opennlp.tools.ml.AbstractEventTrainer

getDataIndexer, train, train, validate

Von Klasse geerbte Methoden opennlp.tools.ml.AbstractTrainer

getAlgorithm, getCutoff, getIterations, init

Von Klasse geerbte Methoden java.lang.Object

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

Von Schnittstelle geerbte Methoden opennlp.tools.commons.Trainer

init

Felddetails

NAIVE_BAYES_VALUE

public static final String NAIVE_BAYES_VALUE

Siehe auch:

• Konstantenfeldwerte

Konstruktordetails

NaiveBayesTrainer

public NaiveBayesTrainer()

Instantiates a NaiveBayesTrainer with default training parameters.

NaiveBayesTrainer

public NaiveBayesTrainer(TrainingParameters parameters)

Instantiates a NaiveBayesTrainer with specific TrainingParameters.

Parameter:

parameters - The parameter to use.

Methodendetails

isSortAndMerge

public boolean isSortAndMerge()

Angegeben von:

isSortAndMerge in Klasse AbstractEventTrainer

doTrain

public AbstractModel doTrain(DataIndexer indexer)
                      throws IOException

Angegeben von:

doTrain in Klasse AbstractEventTrainer

Löst aus:

IOException

trainModel

public AbstractModel trainModel(DataIndexer di)

Trains a NaiveBayesModel with given parameters.

Parameter:

di - The DataIndexer used as data input.

Gibt zurück:

A valid, trained Naive Bayes model.