Package weka.classifiers.bayes.net.search.local

Interface Summary

Interface	Description
Scoreable	Interface for allowing to score a classifier

Class Summary

Class	Description
GeneticSearch	This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
HillClimber	This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
K2	This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables. For more information see: G.F.
LAGDHillClimber	This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing.
LocalScoreSearchAlgorithm	The ScoreBasedSearchAlgorithm class supports Bayes net structure search algorithms that are based on maximizing scores (as opposed to for example conditional independence based search algorithms).
RepeatedHillClimber	This Bayes Network learning algorithm repeatedly uses hill climbing starting with a randomly generated network structure and return the best structure of the various runs.
SimulatedAnnealing	This Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure. For more information see: R.R.
TabuSearch	This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
TAN	This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree. For more information see: N.