Package | Description |
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weka.classifiers.bayes.net.search.global |
Modifier and Type | Class and Description |
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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 |
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. |
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