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.

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