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## weka.classifiers.bayes
Class NaiveBayesMultinomialUpdateable

    java.lang.Object
      weka.classifiers.Classifier
          weka.classifiers.bayes.NaiveBayesMultinomial
              weka.classifiers.bayes.NaiveBayesMultinomialUpdateable

All Implemented Interfaces:
  java.io.Serializable, java.lang.Cloneable, UpdateableClassifier, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler, WeightedInstancesHandler

    public class NaiveBayesMultinomialUpdateable

extends NaiveBayesMultinomial
implements UpdateableClassifier

Class for building and using a multinomial Naive Bayes classifier. For more information see,
Andrew Mccallum, Kamal Nigam: A Comparison of Event Models for Naive Bayes Text Classification. In: AAAI-98 Workshop on 'Learning for Text Categorization', 1998.
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.
Incremental version of the algorithm.

BibTeX:

     @inproceedings{Mccallum1998,
        author = {Andrew Mccallum and Kamal Nigam},
        booktitle = {AAAI-98 Workshop on 'Learning for Text Categorization'},
        title = {A Comparison of Event Models for Naive Bayes Text Classification},
        year = {1998}
     }

Valid options are:

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

Version:
  $Revision: 1.3 $
Author:
  Andrew Golightly (acg4@cs.waikato.ac.nz), Bernhard Pfahringer (bernhard@cs.waikato.ac.nz), Jiang Su
See Also:
  Serialized Form

Constructor Summary
`NaiveBayesMultinomialUpdateable()`

Method Summary
`void` | `buildClassifier(Instances instances)` Generates the classifier.
`double[]` | `distributionForInstance(Instance instance)` Calculates the class membership probabilities for the given test instance.
`java.lang.String` | `getRevision()` Returns the revision string.
`java.lang.String` | `globalInfo()` Returns a string describing this classifier
`static void` | `main(java.lang.String[] args)` Main method for testing this class.
`java.lang.String` | `toString()` Returns a string representation of the classifier.
`void` | `updateClassifier(Instance instance)` Updates the classifier with the given instance.

Methods inherited from class weka.classifiers.bayes.NaiveBayesMultinomial
`getCapabilities, getTechnicalInformation, lnFactorial`

Methods inherited from class weka.classifiers.Classifier
`classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, wait, wait, wait`

Constructor Detail

### NaiveBayesMultinomialUpdateable

    public NaiveBayesMultinomialUpdateable()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this classifier

  Overrides:
    `globalInfo` in class `NaiveBayesMultinomial`
  Returns:
    a description of the classifier suitable for displaying in the explorer/experimenter gui

### buildClassifier

    public void buildClassifier(Instances instances)
                         throws java.lang.Exception

  Generates the classifier.

  Overrides:
    `buildClassifier` in class `NaiveBayesMultinomial`
  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 `NaiveBayesMultinomial`
  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 `NaiveBayesMultinomial`
  Returns:
    a string representation of the classifier

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

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

### main

    public static void main(java.lang.String[] args)

  Main method for testing this class.

  Parameters:
    `args` - the options

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