Package jsat.classifiers.bayesian

Class Summary

Class	Description
AODE	Averaged One-Dependence Estimators (AODE) is an extension of Naive Bayes that attempts to be more accurate by reducing the independence assumption.
BestClassDistribution	BestClassDistribution is a generic class for performing classification by fitting a MultivariateDistribution to each class.
ConditionalProbabilityTable	The conditional probability table (CPT) is a classifier for categorical attributes.
MultinomialNaiveBayes	An implementation of the Multinomial Naive Bayes model (MNB).
MultivariateNormals	This classifier can be seen as an extension of NaiveBayes.
NaiveBayes	Provides an implementation of the Naive Bayes classifier that assumes numeric features come from some continuous probability distribution.
NaiveBayesUpdateable	An implementation of Gaussian Naive Bayes that can be updated in an online fashion.
ODE	One-Dependence Estimators (ODE) is an extension of Naive Bayes that, instead of assuming all features are independent, assumes all features are dependent on one other feature besides the target class.

Enum Summary

Enum	Description
NaiveBayes.NumericalHandeling	There are multiple ways of handling numerical attributes.