opennlp.tools.ml.naivebayes

Class NaiveBayesTrainer

java.lang.Object

opennlp.tools.ml.AbstractTrainer

opennlp.tools.ml.AbstractEventTrainer

opennlp.tools.ml.naivebayes.NaiveBayesTrainer

All Implemented Interfaces:

EventTrainer

public class NaiveBayesTrainer
extends AbstractEventTrainer

Trains models using the perceptron algorithm. Each outcome is represented as a binary perceptron classifier. This supports standard (integer) weighting as well average weighting as described in: Discriminative Training Methods for Hidden Markov Models: Theory and Experiments with the Perceptron Algorithm. Michael Collins, EMNLP 2002.

Field Summary

Fields

Modifier and Type	Field and Description
static String	NAIVE_BAYES_VALUE

Fields inherited from class opennlp.tools.ml.AbstractEventTrainer

DATA_INDEXER_ONE_PASS_REAL_VALUE, DATA_INDEXER_ONE_PASS_VALUE, DATA_INDEXER_PARAM, DATA_INDEXER_TWO_PASS_VALUE

Fields inherited from class opennlp.tools.ml.AbstractTrainer

ALGORITHM_PARAM, CUTOFF_DEFAULT, CUTOFF_PARAM, ITERATIONS_DEFAULT, ITERATIONS_PARAM, TRAINER_TYPE_PARAM, VERBOSE_DEFAULT, VERBOSE_PARAM

Fields inherited from interface opennlp.tools.ml.EventTrainer

EVENT_VALUE

Constructor Summary

Constructors

Constructor and Description
NaiveBayesTrainer()
NaiveBayesTrainer(TrainingParameters parameters)

Method Summary

Modifier and Type	Method and Description
AbstractModel	doTrain(DataIndexer indexer)
boolean	isSortAndMerge()
AbstractModel	trainModel(DataIndexer di)

Methods inherited from class opennlp.tools.ml.AbstractEventTrainer

getDataIndexer, isValid, train, train

Methods inherited from class opennlp.tools.ml.AbstractTrainer

getAlgorithm, getCutoff, getIterations, init, init

Methods inherited from class java.lang.Object

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

Methods inherited from interface opennlp.tools.ml.EventTrainer

init

Field Detail

NAIVE_BAYES_VALUE

public static final String NAIVE_BAYES_VALUE

See Also:

Constant Field Values

Constructor Detail

NaiveBayesTrainer

public NaiveBayesTrainer()

NaiveBayesTrainer

public NaiveBayesTrainer(TrainingParameters parameters)

Method Detail

isSortAndMerge

public boolean isSortAndMerge()

Specified by:

isSortAndMerge in class AbstractEventTrainer

doTrain

public AbstractModel doTrain(DataIndexer indexer)
                      throws IOException

Specified by:

doTrain in class AbstractEventTrainer

Throws:

IOException

trainModel

public AbstractModel trainModel(DataIndexer di)