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java.lang.Objectweka.classifiers.Classifier
weka.classifiers.bayes.NaiveBayesMultinomial
weka.classifiers.bayes.NaiveBayesMultinomialUpdateable
public class NaiveBayesMultinomialUpdateable
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.
@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
Constructor Summary | |
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NaiveBayesMultinomialUpdateable()
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Method Summary | |
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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 |
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getCapabilities, getTechnicalInformation, lnFactorial |
Methods inherited from class weka.classifiers.Classifier |
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classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public NaiveBayesMultinomialUpdateable()
Method Detail |
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public java.lang.String globalInfo()
globalInfo
in class NaiveBayesMultinomial
public void buildClassifier(Instances instances) throws java.lang.Exception
buildClassifier
in class NaiveBayesMultinomial
instances
- set of instances serving as training data
java.lang.Exception
- if the classifier has not been generated successfullypublic void updateClassifier(Instance instance) throws java.lang.Exception
updateClassifier
in interface UpdateableClassifier
instance
- the new training instance to include in the model
java.lang.Exception
- if the instance could not be incorporated in
the model.public double[] distributionForInstance(Instance instance) throws java.lang.Exception
distributionForInstance
in class NaiveBayesMultinomial
instance
- the instance to be classified
java.lang.Exception
- if there is a problem generating the predictionpublic java.lang.String toString()
toString
in class NaiveBayesMultinomial
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class NaiveBayesMultinomial
public static void main(java.lang.String[] args)
args
- the options
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