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Interface Summary | |
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Scoreable | Interface for allowing to score a classifier |
Class Summary | |
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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. |
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