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

package weka.classifiers.bayes.net.search.local
  • Class
    Description
    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.
    Scoreable
    Interface for allowing to score a classifier
    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.