public class NaiveBayesMultinomial extends Classifier implements WeightedInstancesHandler, TechnicalInformationHandler
@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 and Description |
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NaiveBayesMultinomial() |
Modifier and Type | Method and Description |
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void |
buildClassifier(Instances instances)
Generates the classifier.
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double[] |
distributionForInstance(Instance instance)
Calculates the class membership probabilities for the given test
instance.
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Capabilities |
getCapabilities()
Returns default capabilities of the classifier.
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java.lang.String |
getRevision()
Returns the revision string.
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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.
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java.lang.String |
globalInfo()
Returns a string describing this classifier
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double |
lnFactorial(int n)
Fast computation of ln(n!) for non-negative ints
negative ints are passed on to the general gamma-function
based version in weka.core.SpecialFunctions
if the current n value is higher than any previous one,
the cache is extended and filled to cover it
the common case is reduced to a simple array lookup
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static void |
main(java.lang.String[] argv)
Main method for testing this class.
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java.lang.String |
toString()
Returns a string representation of the classifier.
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classifyInstance, debugTipText, forName, getDebug, getOptions, listOptions, makeCopies, makeCopy, setDebug, setOptions
public java.lang.String globalInfo()
public TechnicalInformation getTechnicalInformation()
getTechnicalInformation
in interface TechnicalInformationHandler
public Capabilities getCapabilities()
getCapabilities
in interface CapabilitiesHandler
getCapabilities
in class Classifier
Capabilities
public void buildClassifier(Instances instances) throws java.lang.Exception
buildClassifier
in class Classifier
instances
- set of instances serving as training datajava.lang.Exception
- if the classifier has not been generated successfullypublic double[] distributionForInstance(Instance instance) throws java.lang.Exception
distributionForInstance
in class Classifier
instance
- the instance to be classifiedjava.lang.Exception
- if there is a problem generating the predictionpublic double lnFactorial(int n)
n
- the integerpublic java.lang.String toString()
toString
in class java.lang.Object
public java.lang.String getRevision()
getRevision
in interface RevisionHandler
getRevision
in class Classifier
public static void main(java.lang.String[] argv)
argv
- the options