All Classes and Interfaces

Classes

Class	Description
BinaryNaiveBayesModelReader	A NaiveBayesModelReader that reads models from a binary format.
BinaryNaiveBayesModelWriter	A NaiveBayesModelWriter that writes models in a binary format.
LogProbabilities<T>	Class implementing the probability distribution over labels returned by a classifier as a log of probabilities.
LogProbability<T>	A class implementing the logarithmic Probability for a label.
NaiveBayesEvalParameters	Specialized parameters for the evaluation of a naive bayes classifier
NaiveBayesModel	A MaxentModel implementation of the multinomial Naive Bayes classifier model.
NaiveBayesModelReader	The base class for readers of models.
NaiveBayesModelWriter	The base class for NaiveBayesModel writers.
NaiveBayesTrainer	Trains models using the combination of EM algorithm and Naive Bayes classifier which is described in:
PlainTextNaiveBayesModelReader	A NaiveBayesModelReader that reads models from a plain text format.
PlainTextNaiveBayesModelWriter	A NaiveBayesModelWriter that writes models in a 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.