# 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.