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

Interface Summary
Scoreable Interface for allowing to score a classifier
 

Class Summary
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.