weka.classifiers.bayes.net.search.fixed
Class NaiveBayes

java.lang.Object
  extended by weka.classifiers.bayes.net.search.SearchAlgorithm
      extended by weka.classifiers.bayes.net.search.fixed.NaiveBayes
All Implemented Interfaces:
java.io.Serializable, OptionHandler, RevisionHandler

public class NaiveBayes
extends SearchAlgorithm

The NaiveBayes class generates a fixed Bayes network structure with arrows from the class variable to each of the attribute variables.

Version:
$Revision: 1.6 $
Author:
Remco Bouckaert
See Also:
Serialized Form

Constructor Summary
NaiveBayes()
           
 
Method Summary
 void buildStructure(BayesNet bayesNet, Instances instances)
          buildStructure determines the network structure/graph of the network.
 java.lang.String getRevision()
          Returns the revision string.
 java.lang.String globalInfo()
          Returns a string describing this object
 
Methods inherited from class weka.classifiers.bayes.net.search.SearchAlgorithm
getOptions, initAsNaiveBayesTipText, listOptions, maxNrOfParentsTipText, setOptions, toString
 
Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, wait, wait, wait
 

Constructor Detail

NaiveBayes

public NaiveBayes()
Method Detail

globalInfo

public java.lang.String globalInfo()
Returns a string describing this object

Returns:
a description of the classifier suitable for displaying in the explorer/experimenter gui

buildStructure

public void buildStructure(BayesNet bayesNet,
                           Instances instances)
                    throws java.lang.Exception
Description copied from class: SearchAlgorithm
buildStructure determines the network structure/graph of the network. The default behavior is creating a network where all nodes have the first node as its parent (i.e., a BayesNet that behaves like a naive Bayes classifier). This method can be overridden by derived classes to restrict the class of network structures that are acceptable.

Overrides:
buildStructure in class SearchAlgorithm
Parameters:
bayesNet -
instances - the instances to work with
Throws:
java.lang.Exception - if something goes wrong

getRevision

public java.lang.String getRevision()
Returns the revision string.

Specified by:
getRevision in interface RevisionHandler
Overrides:
getRevision in class SearchAlgorithm
Returns:
the revision