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

ClassDescriptionThis Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables.
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G.F.This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing.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).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.Interface for allowing to score a classifierThis Bayes Network learning algorithm uses the general purpose search method of simulated annealing to find a well scoring network structure.
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R.R.This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.This Bayes Network learning algorithm determines the maximum weight spanning tree and returns a Naive Bayes network augmented with a tree.
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N.