Uses of Package
jsat.classifiers.bayesian

Packages that use jsat.classifiers.bayesian

Package	Description
jsat.classifiers.bayesian
jsat.classifiers.bayesian.graphicalmodel

Classes in jsat.classifiers.bayesian used by jsat.classifiers.bayesian

Class and 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.
MultinomialNaiveBayes An implementation of the Multinomial Naive Bayes model (MNB).
MultivariateNormals This classifier can be seen as an extension of NaiveBayes.
NaiveBayes.NumericalHandeling There are multiple ways of handling numerical attributes.
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.

Classes in jsat.classifiers.bayesian used by jsat.classifiers.bayesian.graphicalmodel

Class and Description
ConditionalProbabilityTable The conditional probability table (CPT) is a classifier for categorical attributes.