Uses of Class
weka.classifiers.bayes.net.search.SearchAlgorithm

Packages that use SearchAlgorithm

Package	Description
weka.classifiers.bayes
weka.classifiers.bayes.net.search.ci
weka.classifiers.bayes.net.search.fixed
weka.classifiers.bayes.net.search.global
weka.classifiers.bayes.net.search.local

Uses of SearchAlgorithm in weka.classifiers.bayes

Methods in weka.classifiers.bayes that return SearchAlgorithm

Modifier and Type	Method	Description
SearchAlgorithm	BayesNet.getSearchAlgorithm()	Get the SearchAlgorithm used as the search algorithm

Methods in weka.classifiers.bayes with parameters of type SearchAlgorithm

Modifier and Type	Method	Description
void	BayesNet.setSearchAlgorithm(SearchAlgorithm newSearchAlgorithm)	Set the SearchAlgorithm used in searching for network structures.

Uses of SearchAlgorithm in weka.classifiers.bayes.net.search.ci

Subclasses of SearchAlgorithm in weka.classifiers.bayes.net.search.ci

Modifier and Type	Class	Description
class	CISearchAlgorithm	The CISearchAlgorithm class supports Bayes net structure search algorithms that are based on conditional independence test (as opposed to for example score based of cross validation based search algorithms).
class	ICSSearchAlgorithm	This Bayes Network learning algorithm uses conditional independence tests to find a skeleton, finds V-nodes and applies a set of rules to find the directions of the remaining arrows.

Uses of SearchAlgorithm in weka.classifiers.bayes.net.search.fixed

Subclasses of SearchAlgorithm in weka.classifiers.bayes.net.search.fixed

Modifier and Type	Class	Description
class	FromFile	The FromFile reads the structure of a Bayes net from a file in BIFF format.
class	NaiveBayes	The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.

Uses of SearchAlgorithm in weka.classifiers.bayes.net.search.global

Subclasses of SearchAlgorithm in weka.classifiers.bayes.net.search.global

Modifier and Type	Class	Description
class	GeneticSearch	This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
class	GlobalScoreSearchAlgorithm	This Bayes Network learning algorithm uses cross validation to estimate classification accuracy.
class	HillClimber	This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
class	K2	This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables. For more information see: G.F.
class	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.
class	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.
class	TabuSearch	This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
class	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.

Uses of SearchAlgorithm in weka.classifiers.bayes.net.search.local

Subclasses of SearchAlgorithm in weka.classifiers.bayes.net.search.local

Modifier and Type	Class	Description
class	GeneticSearch	This Bayes Network learning algorithm uses genetic search for finding a well scoring Bayes network structure.
class	HillClimber	This Bayes Network learning algorithm uses a hill climbing algorithm adding, deleting and reversing arcs.
class	K2	This Bayes Network learning algorithm uses a hill climbing algorithm restricted by an order on the variables. For more information see: G.F.
class	LAGDHillClimber	This Bayes Network learning algorithm uses a Look Ahead Hill Climbing algorithm called LAGD Hill Climbing.
class	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).
class	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.
class	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.
class	TabuSearch	This Bayes Network learning algorithm uses tabu search for finding a well scoring Bayes network structure.
class	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.