Package weka.classifiers.bayes

Interface Summary
Scoreable Interface for allowing to score a classifier
 

Class Summary
ADNode The ADNode class implements the ADTree datastructure which increases the speed with which sub-contingency tables can be constructed from a data set in an Instances object.
BayesNet Base class for a Bayes Network classifier.
BayesNetB Class for a Bayes Network classifier based on a hill climbing algorithm for learning structure as described in Buntine, W.
BayesNetB2 Class for a Bayes Network classifier based on Buntines hill climbing algorithm for learning structure, but augmented to allow arc reversal as an operation.
BayesNetK2 Class for a Bayes Network classifier based on K2 for learning structure.
DiscreteEstimatorBayes Symbolic probability estimator based on symbol counts and a prior.
NaiveBayes Class for a Naive Bayes classifier using estimator classes.
NaiveBayesSimple Class for building and using a simple Naive Bayes classifier.
NaiveBayesSimpleSoft Version of NaiveBayesSimple that supports training on SoftClassifiedInstances and WeightedInstances for use with SemiSupEM
NaiveBayesUpdateable Class for a Naive Bayes classifier using estimator classes.
ParentSet Helper class for Bayes Network classifiers.
SemiSupEM Semi supervised learner that uses EM initialized with labeled data and then runs EM iterations on the unlabeled data to improve the model.
VaryNode Part of ADTree implementation.