Overview of options for search algorithms

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Overview of options for search algorithms

weka.classifiers.bayes.net.search.local.GeneticSearch

-L <integer>
        Population size
-A <integer>
        Descendant population size
-U <integer>
        Number of runs
-M
        Use mutation.
        (default true)
-C
        Use cross-over.
        (default true)
-O
        Use tournament selection (true) or maximum subpopulatin (false).
        (default false)
-R <seed>
        Random number seed
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.local.HillClimber

-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-N
        Initial structure is empty (instead of Naive Bayes)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.local.K2

-N
        Initial structure is empty (instead of Naive Bayes)
-P <nr of parents>
        Maximum number of parents
-R
        Random order.
        (default false)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.local.LAGDHillClimber

-L <nr of look ahead steps>
        Look Ahead Depth
-G <nr of good operations>
        Nr of Good Operations
-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-N
        Initial structure is empty (instead of Naive Bayes)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.local.RepeatedHillClimber

-U <integer>
        Number of runs
-A <seed>
        Random number seed
-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-N
        Initial structure is empty (instead of Naive Bayes)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.local.SimulatedAnnealing

-A <float>
        Start temperature
-U <integer>
        Number of runs
-D <float>
        Delta temperature
-R <seed>
        Random number seed
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.local.TabuSearch

-L <integer>
        Tabu list length
-U <integer>
        Number of runs
-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-N
        Initial structure is empty (instead of Naive Bayes)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.local.TAN

-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.ci.CISearchAlgorithm

-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.ci.ICSSearchAlgorithm

-cardinality <num>
        When determining whether an edge exists a search is performed
        for a set Z that separates the nodes. MaxCardinality determines
        the maximum size of the set Z. This greatly influences the
        length of the search. (default 2)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [BAYES|MDL|ENTROPY|AIC|CROSS_CLASSIC|CROSS_BAYES]
        Score type (BAYES, BDeu, MDL, ENTROPY and AIC)

weka.classifiers.bayes.net.search.global.GeneticSearch

-L <integer>
        Population size
-A <integer>
        Descendant population size
-U <integer>
        Number of runs
-M
        Use mutation.
        (default true)
-C
        Use cross-over.
        (default true)
-O
        Use tournament selection (true) or maximum subpopulatin (false).
        (default false)
-R <seed>
        Random number seed
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

weka.classifiers.bayes.net.search.global.HillClimber

-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-N
        Initial structure is empty (instead of Naive Bayes)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

weka.classifiers.bayes.net.search.global.K2

-N
        Initial structure is empty (instead of Naive Bayes)
-P <nr of parents>
        Maximum number of parents
-R
        Random order.
        (default false)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

weka.classifiers.bayes.net.search.global.RepeatedHillClimber

-U <integer>
        Number of runs
-A <seed>
        Random number seed
-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-N
        Initial structure is empty (instead of Naive Bayes)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

weka.classifiers.bayes.net.search.global.SimulatedAnnealing

-A <float>
        Start temperature
-U <integer>
        Number of runs
-D <float>
        Delta temperature
-R <seed>
        Random number seed
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

weka.classifiers.bayes.net.search.global.TabuSearch

-L <integer>
        Tabu list length
-U <integer>
        Number of runs
-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-P <nr of parents>
        Maximum number of parents
-R
        Use arc reversal operation.
        (default false)
-N
        Initial structure is empty (instead of Naive Bayes)
-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

weka.classifiers.bayes.net.search.global.TAN

-mbc
        Applies a Markov Blanket correction to the network structure,
        after a network structure is learned. This ensures that all
        nodes in the network are part of the Markov blanket of the
        classifier node.
-S [LOO-CV|k-Fold-CV|Cumulative-CV]
        Score type (LOO-CV,k-Fold-CV,Cumulative-CV)
-Q
        Use probabilistic or 0/1 scoring.
        (default probabilistic scoring)

weka.classifiers.bayes.net.search.fixed.FromFile

-B <BIF File>
        Name of file containing network structure in BIF format

weka.classifiers.bayes.net.search.fixed.NaiveBayes
```
No options.
```

Remco Bouckaert 2008-05-12