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.
AODE	AODE achieves highly accurate classification by averaging over all of a small space of alternative naive-Bayes-like models that have weaker (and hence less detrimental) independence assumptions than naive Bayes.
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.
ComplementNaiveBayes	Class for building and using a Complement class Naive Bayes classifier.
DiscreteEstimatorBayes	Symbolic probability estimator based on symbol counts and a prior.
NaiveBayes	Class for a Naive Bayes classifier using estimator classes.
NaiveBayesMultinomial	The core equation for this classifier: P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule) where Ci is class i and D is a document
NaiveBayesSimple	Class for building and using a simple Naive Bayes classifier.
NaiveBayesUpdateable	Class for a Naive Bayes classifier using estimator classes.
ParentSet	Helper class for Bayes Network classifiers.
VaryNode	Part of ADTree implementation.