Package opennlp.tools.ml.naivebayes

Class Summary

Class	Description
BinaryNaiveBayesModelReader
BinaryNaiveBayesModelWriter	Model writer that saves models in binary format.
LogProbabilities<T>	Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbability<T>	Class implementing the probability for a label.
NaiveBayesEvalParameters	Parameters for the evalution of a naive bayes classifier
NaiveBayesModel	Class implementing the multinomial Naive Bayes classifier model.
NaiveBayesModelReader	Abstract parent class for readers of NaiveBayes.
NaiveBayesModelWriter	Abstract parent class for NaiveBayes writers.
NaiveBayesTrainer	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
PlainTextNaiveBayesModelReader
PlainTextNaiveBayesModelWriter	Model writer that saves models in plain text format.
Probabilities<T>	Class implementing the probability distribution over labels returned by a classifier.
Probability<T>	Class implementing the probability for a label.