Package weka.classifiers.bayes.net

Class BayesNetGenerator

java.lang.Object
weka.classifiers.AbstractClassifier
weka.classifiers.bayes.BayesNet
weka.classifiers.bayes.net.EditableBayesNet
weka.classifiers.bayes.net.BayesNetGenerator
All Implemented Interfaces:
Serializable, Cloneable, Classifier, AdditionalMeasureProducer, BatchPredictor, CapabilitiesHandler, CapabilitiesIgnorer, CommandlineRunnable, Drawable, OptionHandler, RevisionHandler, WeightedInstancesHandler
public class BayesNetGenerator extends EditableBayesNet
Bayes Network learning using various search algorithms and quality measures.
Base class for a Bayes Network classifier. Provides datastructures (network structure, conditional probability distributions, etc.) and facilities common to Bayes Network learning algorithms like K2 and B.

For more information see:

http://www.cs.waikato.ac.nz/~remco/weka.pdf

Valid options are: 

 -B
  Generate network (instead of instances)
 
 -N <integer>
  Nr of nodes
 
 -A <integer>
  Nr of arcs
 
 -M <integer>
  Nr of instances
 
 -C <integer>
  Cardinality of the variables
 
 -S <integer>
  Seed for random number generator
 
 -F <file>
  The BIF file to obtain the structure from.
Version:
$Revision: 12448 $
Author:
Remco Bouckaert (rrb@xm.co.nz)
See Also:

  • Constructor Details

    • BayesNetGenerator

      public BayesNetGenerator()
      Constructor for BayesNetGenerator.

  • Method Details

    • generateRandomNetwork

      public void generateRandomNetwork() throws Exception
      Generate random connected Bayesian network with discrete nodes having all the same cardinality.
      Throws:
      Exception - if something goes wrong

    • Init

      public void Init(int nNodes, int nValues) throws Exception
      Init defines a minimal Bayes net with no arcs
      Parameters:
      nNodes - number of nodes in the Bayes net
      nValues - number of values each of the nodes can take
      Throws:
      Exception - if something goes wrong

    • generateRandomNetworkStructure

      public void generateRandomNetworkStructure(int nNodes, int nArcs) throws Exception
      GenerateRandomNetworkStructure generate random connected Bayesian network
      Parameters:
      nNodes - number of nodes in the Bayes net to generate
      nArcs - number of arcs to generate. Must be between nNodes - 1 and nNodes * (nNodes-1) / 2
      Throws:
      Exception - if number of arcs is incorrect

    • generateInstances

      public void generateInstances() throws Exception
      GenerateInstances generates random instances sampling from the distribution represented by the Bayes network structure. It assumes a Bayes network structure has been initialized
      Throws:
      Exception - if something goes wrong

    • toString

      public String toString()
      Returns either the net (if BIF format) or the generated instances
      Overrides:
      toString in class BayesNet
      Returns:
      either the net or the generated instances

    • listOptions

      public Enumeration<Option> listOptions()
      Returns an enumeration describing the available options
      Specified by:
      listOptions in interface OptionHandler
      Overrides:
      listOptions in class BayesNet
      Returns:
      an enumeration of all the available options

    • setOptions

      public void setOptions(String[] options) throws Exception
      Parses a given list of options.

      Valid options are: 

       -B
  Generate network (instead of instances)
 
       -N <integer>
  Nr of nodes
 
       -A <integer>
  Nr of arcs
 
       -M <integer>
  Nr of instances
 
       -C <integer>
  Cardinality of the variables
 
       -S <integer>
  Seed for random number generator
 
       -F <file>
  The BIF file to obtain the structure from.
      Specified by:
      setOptions in interface OptionHandler
      Overrides:
      setOptions in class BayesNet
      Parameters:
      options - the list of options as an array of strings
      Throws:
      Exception - if an option is not supported

    • getOptions

      public String[] getOptions()
      Gets the current settings of the classifier.
      Specified by:
      getOptions in interface OptionHandler
      Overrides:
      getOptions in class BayesNet
      Returns:
      an array of strings suitable for passing to setOptions

    • getRevision

      public String getRevision()
      Returns the revision string.
      Specified by:
      getRevision in interface RevisionHandler
      Overrides:
      getRevision in class EditableBayesNet
      Returns:
      the revision

    • main

      public static void main(String[] args)
      Main method
      Parameters:
      args - the commandline parameters