Package weka.classifiers.bayes

Class DMNBtext

java.lang.Object
weka.classifiers.Classifier
weka.classifiers.bayes.DMNBtext
All Implemented Interfaces:
Serializable, Cloneable, UpdateableClassifier, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler, WeightedInstancesHandler
public class DMNBtext extends Classifier implements OptionHandler, WeightedInstancesHandler, TechnicalInformationHandler, UpdateableClassifier
Class for building and using a Discriminative Multinomial Naive Bayes classifier. For more information see,

Jiang Su,Harry Zhang,Charles X. Ling,Stan Matwin: Discriminative Parameter Learning for Bayesian Networks. In: ICML 2008', 2008.

The core equation for this classifier:

P[Ci|D] = (P[D|Ci] x P[Ci]) / P[D] (Bayes rule)

where Ci is class i and D is a document.

BibTeX: 

 @inproceedings{JiangSu2008,
    author = {Jiang Su,Harry Zhang,Charles X. Ling,Stan Matwin},
    booktitle = {ICML 2008'},
    title = {Discriminative Parameter Learning for Bayesian Networks},
    year = {2008}
 }

Valid options are: 

 -I <iterations>
  The number of iterations that the classifier 
  will scan the training data (default = 1)
 -M
  Use the frequency information in data
Version:
$Revision: 6363 $
Author:
Jiang Su (Jiang.Su@unb.ca) 2008
See Also:

  • Constructor Details

    • DMNBtext

      public DMNBtext()

  • Method Details

    • globalInfo

      public String globalInfo()
      Returns a string describing this classifier
      Returns:
      a description of the classifier suitable for displaying in the explorer/experimenter gui

    • getTechnicalInformation

      public TechnicalInformation getTechnicalInformation()
      Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
      Specified by:
      getTechnicalInformation in interface TechnicalInformationHandler
      Returns:
      the technical information about this class

    • getCapabilities

      public Capabilities getCapabilities()
      Returns default capabilities of the classifier.
      Specified by:
      getCapabilities in interface CapabilitiesHandler
      Overrides:
      getCapabilities in class Classifier
      Returns:
      the capabilities of this classifier
      See Also:

    • buildClassifier

      public void buildClassifier(Instances data) throws Exception
      Generates the classifier.
      Specified by:
      buildClassifier in class Classifier
      Parameters:
      instances - set of instances serving as training data
      Throws:
      Exception - if the classifier has not been generated successfully

    • updateClassifier

      public void updateClassifier(Instance instance) throws Exception
      Updates the classifier with the given instance.
      Specified by:
      updateClassifier in interface UpdateableClassifier
      Parameters:
      instance - the new training instance to include in the model
      Throws:
      Exception - if the instance could not be incorporated in the model.

    • distributionForInstance

      public double[] distributionForInstance(Instance instance) throws Exception
      Calculates the class membership probabilities for the given test instance.
      Overrides:
      distributionForInstance in class Classifier
      Parameters:
      instance - the instance to be classified
      Returns:
      predicted class probability distribution
      Throws:
      Exception - if there is a problem generating the prediction

    • toString

      public String toString()
      Returns a string representation of the classifier.
      Overrides:
      toString in class Object
      Returns:
      a string representation of the classifier

    • listOptions

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

    • setOptions

      public void setOptions(String[] options) throws Exception
      Description copied from class: Classifier
      Parses a given list of options. Valid options are:

      -D
      If set, classifier is run in debug mode and may output additional info to the console.

      Specified by:
      setOptions in interface OptionHandler
      Overrides:
      setOptions in class Classifier
      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 Classifier
      Returns:
      an array of strings suitable for passing to setOptions

    • numIterationsTipText

      public String numIterationsTipText()
      Returns the tip text for this property
      Returns:
      tip text for this property suitable for displaying in the explorer/experimenter gui

    • setNumIterations

      public void setNumIterations(int numIterations)
      Sets the number of iterations to be performed

    • getNumIterations

      public int getNumIterations()
      Gets the number of iterations to be performed
      Returns:
      the iterations to be performed

    • multinomialWordTipText

      public String multinomialWordTipText()
      Returns the tip text for this property
      Returns:
      tip text for this property suitable for displaying in the explorer/experimenter gui

    • setMultinomialWord

      public void setMultinomialWord(boolean val)
      Sets whether use binary text representation

    • getMultinomialWord

      public boolean getMultinomialWord()
      Gets whether use binary text representation
      Returns:
      whether use binary text representation

    • getRevision

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

    • main

      public static void main(String[] argv)
      Main method for testing this class.
      Parameters:
      argv - the options