Package weka.classifiers.bayes

Class DMNBtext

  • All Implemented Interfaces:
    java.io.Serializable, java.lang.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:
    Serialized Form

    • Constructor Detail

      • DMNBtext

        public DMNBtext()

    • Method Detail

      • globalInfo

        public java.lang.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

      • buildClassifier

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

      • updateClassifier

        public void updateClassifier​(Instance instance)
                      throws java.lang.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:
        java.lang.Exception - if the instance could not be incorporated in the model.

      • distributionForInstance

        public double[] distributionForInstance​(Instance instance)
                                 throws java.lang.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:
        java.lang.Exception - if there is a problem generating the prediction

      • toString

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

      • listOptions

        public java.util.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​(java.lang.String[] options)
                throws java.lang.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:
        java.lang.Exception - if an option is not supported

      • getOptions

        public java.lang.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 java.lang.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 java.lang.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

      • main

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