Class Summary Class Description BinaryNaiveBayesModelReader BinaryNaiveBayesModelWriterModel 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. NaiveBayesEvalParametersParameters for the evalution of a naive bayes classifier NaiveBayesModelClass implementing the multinomial Naive Bayes classifier model. NaiveBayesModelReaderAbstract parent class for readers of NaiveBayes. NaiveBayesModelWriterAbstract parent class for NaiveBayes writers. NaiveBayesTrainerTrains 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 PlainTextNaiveBayesModelWriterModel 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.