Package weka.classifiers.bayes
Class NaiveBayesMultinomialUpdateable
java.lang.Object
weka.classifiers.Classifier
weka.classifiers.bayes.NaiveBayesMultinomial
weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
- All Implemented Interfaces:
Serializable
,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:
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:
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Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionvoid
buildClassifier
(Instances instances) Generates the classifier.double[]
distributionForInstance
(Instance instance) Calculates the class membership probabilities for the given test instance.Returns the revision string.Returns a string describing this classifierstatic void
Main method for testing this class.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
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Constructor Details
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NaiveBayesMultinomialUpdateable
public NaiveBayesMultinomialUpdateable()
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Method Details
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globalInfo
Returns a string describing this classifier- Overrides:
globalInfo
in classNaiveBayesMultinomial
- Returns:
- a description of the classifier suitable for displaying in the explorer/experimenter gui
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buildClassifier
Generates the classifier.- Overrides:
buildClassifier
in classNaiveBayesMultinomial
- Parameters:
instances
- set of instances serving as training data- Throws:
Exception
- if the classifier has not been generated successfully
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updateClassifier
Updates the classifier with the given instance.- Specified by:
updateClassifier
in interfaceUpdateableClassifier
- Parameters:
instance
- the new training instance to include in the model- Throws:
Exception
- if the instance could not be incorporated in the model.
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distributionForInstance
Calculates the class membership probabilities for the given test instance.- Overrides:
distributionForInstance
in classNaiveBayesMultinomial
- Parameters:
instance
- the instance to be classified- Returns:
- predicted class probability distribution
- Throws:
Exception
- if there is a problem generating the prediction
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toString
Returns a string representation of the classifier.- Overrides:
toString
in classNaiveBayesMultinomial
- Returns:
- a string representation of the classifier
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getRevision
Returns the revision string.- Specified by:
getRevision
in interfaceRevisionHandler
- Overrides:
getRevision
in classNaiveBayesMultinomial
- Returns:
- the revision
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main
Main method for testing this class.- Parameters:
args
- the options
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